Next Article in Journal
Genotype-by-Environment Interaction Analysis for Quantity and Quality Traits in Faba Beans Using AMMI, GGE Models, and Stability Indices
Next Article in Special Issue
Integrative Analysis of Oleosin Genes Provides Insights into Lineage-Specific Family Evolution in Brassicales
Previous Article in Journal
Effects of Vegetation Types and Soil Properties on Regional Soil Carbon and Nitrogen in Salinized Reservoir Wetland, Northeast China
Previous Article in Special Issue
Evaluation of Resistance of Oilseed Rape Genotypes to Turnip Yellows Virus
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Plants
Volume 12
Issue 21
10.3390/plants12213768
plants-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Identification of the High-Affinity Potassium Transporter Gene Family (HKT) in Brassica U-Triangle Species and Its Potential Roles in Abiotic Stress in Brassica napus L.

by
Xiaoran Yang
1,2,3,
Ran Hu
1,2,3,
Fujun Sun
1,2,3,
Shulin Shen
1,2,3,
Mengzhen Zhang
1,2,3,
Yiwei Liu
1,2,3,
Yi Zhang
1,2,3,
Hai Du
1,2,3,
Kun Lu
1,2,3,
Cunmin Qu
1,2,3,* and
Nengwen Yin
1,2,3,*
1
Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, College of Agronomy and Biotechnology, Southwest University, Chongqing 400715, China
2
Academy of Agricultural Sciences, Southwest University, Chongqing 400715, China
3
Affiliation Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing 400715, China
*
Authors to whom correspondence should be addressed.
Plants 2023, 12(21), 3768; https://doi.org/10.3390/plants12213768
Submission received: 18 September 2023 / Revised: 23 October 2023 / Accepted: 2 November 2023 / Published: 4 November 2023
(This article belongs to the Special Issue Molecular Genetics and Breeding of Oilseed Crops)
Browse Figures
Versions Notes

Abstract

:
Members of the high-affinity potassium transporter (HKT) protein family regulate the uptake and homeostasis of sodium and potassium ions, but little research describes their roles in response to abiotic stresses in rapeseed (Brassica napus L.). In this study, we identified and characterized a total of 36 HKT genes from the species comprising the triangle of U model (U-triangle species): B. rapa, B. nigra, B. oleracea, B. juncea, B. napus, and B. carinata. We analyzed the phylogenetic relationships, gene structures, motif compositions, and chromosomal distributions of the HKT family members of rapeseed. Based on their phylogenetic relationships and assemblage of functional domains, we classified the HKT members into four subgroups, HKT1;1 to HKT1;4. Analysis of the nonsynonymous substitutions (Ka), synonymous substitutions (Ks), and the Ka/Ks ratios of HKT gene pairs suggested that these genes have experienced strong purifying selective pressure after duplication, with their evolutionary relationships supporting the U-triangle theory. Furthermore, the expression profiles of BnaHKT genes varies among potassium, phytohormone and heavy-metal treatment. Their repression provides resistance to heavy-metal stress, possibly by limiting uptake. Our results systematically reveal the characteristics of HKT family proteins and their encoding genes in six Brassica species and lay a foundation for further exploration of the role of HKT family genes in heavy-metal tolerance.

1. Introduction

Plant growth, development, and productivity are negatively affected by multiple abiotic stresses, including heavy metals and salinity, due to the unfavorable conditions they impose. In response, plants have developed compensatory systems allowing them to adjust to abiotic stress conditions through a complex cascade of specific physiological, molecular, and cellular adaptations [1]. The potassium cation (K+) is an essential plant nutrient and plays crucial roles in response to a variety of abiotic stresses such as salt stress, drought stress, oxidative stress, and so on [2,3]. Potassium transporters form several protein families: the KT (K+ transporter)/HAK (high-affinity K+)/KUP (K+ uptake) family, the Trk (K+ transporter)/HKT family, the KEA (K+ efflux antiporter) family, and the CHX (cation/hydrogen exchanger) family [4,5]. Of these, the Trk/HKT family occurs only in plants [6], and mainly regulates the uptake and homeostasis of sodium and potassium ions [7].
To date, numerous studies have identified HKT genes in many monocots and dicots, including wheat (Triticum aestivum L.) [8,9,10,11], Arabidopsis (Arabidopsis thaliana) [9,11,12,13], rice (Oryza sativa L.) [9,14,15], barley (Hordeum vulgare L.) [9,11,16], maize (Zea mays L.) [9,15], tomato (Solanum lycopersicum L.) [9,17], sorghum (Sorghum bicolor) [9,18], soybean (Glycine max) [9,19], foxtail millet (Setaria italica) [20], and some Rosaceae species [9]. HKTs share a characteristic structure made up of four transmembrane domain-pore domain-transmembrane domain units (MPM1-MPM4) [7]. Each unit consists of one pore-like region (P) and two transmembrane regions (M) [21].These HKT genes are categorized into two different subfamilies (class I and class II) based on the structure of the first pore loop of the protein they encode, which determines their transport selectivity [22]. Generally, class I HKTs (with the sequence S-G-G-G in the first pore loop) function as sodium uniporters, whereas class II HKTs (with G-G-G-G in the first pore loop) are Na+/K+ symporters [6,7]. For example, studies in Arabidopsis have shown that certain HKT gene family members can remove excessive Na+ from the xylem under salt stress, protect plants against damage to photosynthetic cells, and play an important role in Na+ excretion and K+ homeostasis in leaves [11,13,23].
Brassica species include numerous vegetable and oil crops of global importance, of which six economically important species are known as U-triangle species: B. rapa, B. nigra, B. oleracea, B. juncea, B. napus, and B. carinata [24,25]. The three ancestral diploid species are B. rapa, B. nigra and B. oleracea (B. rapa, the AA subgenome donor; B. nigra, the BB subgenome donor; B. oleracea, the CC subgenome donor) and three derived allotetraploid species are B. juncea, B. napus, and B. carinata (B. juncea, harboring AABB; B. napus, carrying AACC; and B. carinata, with BBCC). Importantly, the genetic relationships of U-triangle species have been clarified based on a comprehensive genomics approach, providing important genomic resources for correlative and evolutionary studies [24]. Moreover, many gene families have been identified and characterized in these Brassica U-triangle species, including genes encoding cytokinin response factors (CRFs) [26], auxin response factors (ARFs) [27,28], and mitogen-activated protein kinases (MAPKs) [29]. However, the HKT gene family in Brassica species has not been well characterized, and there has been a lack of systematic study until now.
Rapeseed (Brassica napus L.) is one of the most important oilseed crops worldwide, with many agronomic advantages, such as rapid growth, high biomass productivity, and strong adaptability to diverse environmental conditions. Recent studies show that many protein families in rapeseed have potential functions to respond to salt and heavy-metal stresses, including cysteine-rich polycomb-like proteins (CPP) [30], homeodomain-leucine zipper proteins (HD-Zip) [31], heavy-metal ATPases (HMA) [32], and phosphorus transporters (PHT) [33]. B. napus is a moderately salt-tolerant species [34], and is a known heavy-metal accumulator [35]. Moreover, the germplasm resources of B. napus are rich in genetic diversity and contain a variety of excellent genes that can be used for the remediation of soil contaminated with salts and heavy metals. HKT genes encode important ion transporters in plants, which can improve stress tolerance by regulating sodium and potassium transportation and concentration in plants [7,13,36]. Therefore, characterization of the HKT genes in B. napus (BnaHKTs) and analysis of adaptive mechanisms in stress-tolerant varieties has far-reaching significance for the valorization and remediation of contaminated soil. In the current study, we identified 36 HKT genes in the genomes of U-triangle species and comprehensively analyzed features of their sequences, their chromosomal locations, and the phylogenetic relationships of their encoded proteins. We also investigated the expression patterns of BnaHKT genes in response to abiotic stress to identify their functions. Our results lay an important foundation for further understanding the regulation of HKT expression in B. napus under abiotic stress and provide avenues for the improvement of this globally important crop.

2. Results

2.1. Identification of HKT Family Genes in the Brassica U-Triangle Species

We identified a total of 38 putative HKT proteins in the six Brassica U-triangle species: B. rapa (Bra), B. nigra (Bni), B. oleracea (Bol), B. juncea (Bju), B. napus (Bna) and B. carinata (Bca). However, we eliminated BniB08g052450.2N and Bol007717 due to their incomplete structures. We thus retained 36 putative HKT proteins, consisting of five BraHKTs, four BniHKTs, three BolHKTs, eight BjuHKTs, eight BnaHKTs and eight BcaHKTs, for analysis (Table 1). We renamed these HKT members as HKT1;1 to HKT1;4: the first number behind HKT represented class I or II, and the second number behind HKT corresponds to the classified subfamilies in this study, with the two numbers separated by a semicolon (;). The characteristics of the encoded HKT proteins are listed in Table 1 (gene ID, protein size, molecular weight (MW), isoelectric point (pI), and predicted subcellular location). The lengths of the proteins ranged from 350 to 585 amino acid residues, and their MWs varied from 39.60 to 65.84 kDa. The pIs of all of the HKTs were greater than 7, ranging from 8.84 to 9.76. Subcellular localization predictions revealed that nearly all of the family members may localize to cell membranes, with BcaHKT1;2a being the only one predicted to localize to chloroplasts.

2.2. Phylogenetic Analysis of HKT Proteins in Arabidopsis and the Brassica U-Triangle Species

The HKT family members of the U-triangle species all belong to subfamily I (with the S-G-G-G sequence) [7]. To reveal the evolutionary relationships among the HKT family members, we reconstructed a phylogenetic tree using protein sequences from Arabidopsis AtHKT1;1 and the 36 proteins from the Brassica U-triangle species. Based on their relative positions in the tree and their functional domains, we classified all proteins into one of four subgroups: HKT1;1 to HKT1;4 (Figure 1). HKT1;3 and HKT1;4 members were located in the same larger phylogenetic branch. The HKT1;1 subgroup contained sequences from all seven species, while the HKT1;2 and HKT1;3 subgroup included members of all six U-triangle species, but not Arabidopsis. HKT1;4 members were present in B. nigra, B. juncea, B. carinata, B. napus and B. rapa. The number of members in the four subgroups is approximately equal, with 10 in HKT1;1 (including AtHKT1;1), nine in HKT1;2, 10 in HKT1;3 and eight in HKT1;4. The phylogenetic tree had clear and reliable clusters, and adjacent sequences within the same clade had close evolutionary relationships, consistent with the U-triangle pattern between the allotetraploids (B. napus, B. juncea, and B. carinata) and their diploid progenitors (B. rapa, B. oleracea, and B. nigra).

2.3. Multiple Sequence Alignment of HKT Proteins in the U-Triangle Species

To visualize the conserved domains in the HKT protein sequences, we performed a multiple sequence alignment using AtHKT1;1 from Arabidopsis, and 36 HKT protein sequences from the six Brassica U-triangle species. Using NCBI and Interpro conserved domain analysis, we determined that all identified HKT family members contain TrkH [37] and 2a38euk (https://www.ncbi.nlm.nih.gov/Structure/cdd/TIGR00934 (accessed on 26 November 2022)) [38] conserved domains, although the number and position of the domains varied. DeepTMHMM detected eight distinct transmembrane helices in all HKT proteins, except for BcaHKT1;2a, BraHKT1;3a, BraHKT1;4, BjuHKT1;3a, BnaHKT1;4b, BniHKT1;4, BolHKT1;3, which have seven, six, six, six, seven, six, and seven helices, respectively (Figure 2C, I–VIII).
Proteins in the HKT family have a characteristic structure containing four loops forming the pore [7,11]. The members of the HKT family can be classified into subfamily I and subfamily II based on the residues in the first pore loop that form the selectivity filter—a Ser residue (S-G-G-G) for subfamily I and a Gly residue (G-G-G-G) for subfamily II [7]. As dicotyledons, U-triangle species only have subfamily I HKTs [7,11]. The presence of a Ser residue supported this idea (Figure 2A). There are four conserved selectivity filter–pore regions (P-loops: P1 to P4, Figure 2). Among the four pore domains, P4 was less conserved than the other three. BraHKT1;3a, BjuHKT1;3a, BniHKT1;4 and BraHKT1;4 lacked P4, while BnaHKT1;4b and BolHKT1;3 lacked some fragments in P4 but still contained the Gly residue (Figure 2). These characteristic sequences may have been lost during evolution. Even so, the pore regions for the Brassica species are highly conserved, confirming that the species share high similarity.

2.4. Conserved Protein Motifs of HKT and Variations in Gene Structure

To further investigate relationships among the HKT family members in each subgroup, we identified their conserved motifs and corresponding gene structures (Figure 3). We detected five conserved motifs among the 37 HKT proteins between Arabidopsis and the U-triangle species. All HKT members contained motifs 1 to 4. The first conserved residue (Ser) was in Motif 3, and the second conserved residue (Gly) in Motif 2. The third conserved residue (Gly) was in Motif 1, and the fourth conserved residue (Gly) was between Motif 1 and Motif 5 (Figure 3).
The exon and intron structure of HKT genes was more complex. BjuHKT1;2b and BnaHKT1;2b contained the most exons (six), while BraHKT1;3a, BjuHKT1;3a and BniHKT1;4 had the fewest exons (one). The number of exons varied among members of the HKT family with diversity gene structures (Figure 3). However, the numbers of exons and exon–intron patterns were similar within each HKT family subgroup, supporting the notion that our classification method was reliable.

2.5. Chromosomal Distribution of HKT Genes in the U-Triangle Species

In total, the 36 HKT genes mapped onto 24 chromosomes of U-triangle species, with chromosomes in the A (13 genes), B (12 genes), and C (11 genes) subgenomes, which are unevenly distributed (Figure 4). Moreover, HKT1;3 and HKT1;4 are closely associated; some even belong to the tandem duplication event (Figure 4). We also found that HKTs in the same subgenome were generally located in parallel physical positions, suggesting that extensive collinearity existed among them in U-triangle species. In addition, some HKT family genes were just detected in B. carinata, suggesting that duplicated genes have been lost during evolution.

2.6. Collinearity Analysis of HKT Genes in U-Triangle Species

Arabidopsis, the allotetraploids (B. napus, B. juncea, and B. carinata) and their diploid progenitors (B. rapa, B. oleracea, and B. nigra) were divided into three groups according to the subgenome relationships, respectively, from which we identified orthologous gene pairs (Figure 5). Group A comprised Arabidopsis and B. nigra (three pairs of orthologous genes), Arabidopsis and B. carinata (six pairs), Arabidopsis and B. oleracea (three pairs), B. nigra and B. carinata (18 pairs), and B. oleracea and B. carinata (16 pairs). Group B contained Arabidopsis and B. nigra (three pairs of orthologous genes), Arabidopsis and B. juncea (six pairs), Arabidopsis and B. rapa (three pairs), B. nigra and B. juncea (16 pairs), and B. rapa and B. juncea (18 pairs). Group C consisted of Arabidopsis and B. oleracea (three pairs of orthologous genes), Arabidopsis and B. napus (six pairs), Arabidopsis and B. rapa (three pairs), B. oleracea and B. napus (16 pairs), and B. rapa and B. napus (17 pairs). Most HKT family genes in three allotetraploid species showed the higher collinearity with Arabidopsis and their diploid progenitors, except for nine HKT family genes, including BcaHKT1;3a, BcaHKT1;3b, BniHKT1;4, BraHKT1;4, BraHKT1;3a, BjuHKT1;4b, BjuHKT1;4a, BnaHKT1;4a, and BnaHKT1;4b.
We calculated the numbers of nonsynonymous substitutions (Ka), synonymous substitutions (Ks), and the Ka/Ks ratios for the HKT gene pairs to reveal the evolutionary constraints acting on the HKT gene pairs. Among the 563 gene pairs compared, only BcaHKT1;1b and BolHKT1;1, BnaHKT1;1b and BolHKT1;1 had Ka/Ks ratios > 2, while the Ka/Ks ratios of other gene pairs were all below 1, with most of the values ranging between 0.1 and 0.3. This observation suggested that the HKT family genes in the seven species have experienced strong purifying selective pressure following duplication.

2.7. Expression Profiles of HKT Family Genes in B. napus under Potassium and Phytohormone Treatment

Based on the published RNA-Seq data (http://www.bnagadb.cn/), we examined the expression of the HKT genes in rapeseed was affected by abiotic stresses, including the different potassium concentrations and different phytohormones (IAA, indole-3-acetic acid or heteroauxin; ACC, 1-aminocyclopropanecarboxylic acid; ABA, abscisic acid; GA3, gibberellin; 6-BA, N-6-benzyladenine), respectively. Overall, BnaHKT1;1a and BnaHKT1;1b were most significantly induced upon low potassium conditions in roots (Figure 6). BnaHKT1;2a, BnaHKT1;3a and BnaHKT1;3b displayed the highest expression level in leaves among both control (CK) groups and low potassium (LK)-treated groups, and BnaHKT1;3a and BnaHKT1;3b were significantly upregulated when subjected to a low potassium concentration. The HKT genes were upregulated, presumably to counteract potassium deficiency by raising the uptake of this element, suggesting that the different BnaHKTs have distinct roles in different tissues.
To well understand the phytohormone-induced expression profiles of the BnaHKTs, we investigated their expression levels in seeding roots of ZS11 under different phytohormone treatments. Notably, BnaHKT1;2b, BnaHKT1;2a, BnaHKT1;3a and BnaHKT1;3b were sensitive to phytohormones, and showed the similar trend (Figure 7). Generally, for IAA and ACC treatment, we observed a significant downregulation between 1 and 3 h and an upregulation between 3 and 12 h, and another downregulation during 12–24 h (Figure 7). However, expression under ABA, GA3 and 6-BA treatments followed a unimodal pattern, with a decrease in expression after reaching a peak during 3–24 h. Based on the variation of transcript levels, we suggest that BnaHKT1;3a and BnaHKT1;3b should play crucial roles in response to phytohormones, but the members of BnaHKT1;1a, BnaHKT1;1b, BnaHKT1;4a and BnaHKT1;4b showed less sensitivity to phytohormones treatments. In conclusion, BnaHKTs had a variety of responses to treatments with several phytohormones.

2.8. Expression Patterns of HKT Genes in Rapeseed under Heavy-Metal Stress

To reveal the possible functions of BnaHKT genes in response to heavy-metal stress in B. napus seedling, we detected the expression profiles of eight BnaHKTs under heavy-metal stress by RT-qPCR analysis in roots, hypocotyls, and cotyledons, respectively. As shown in Figure 8, these members showed the variation expression patterns. Under As3+ treatment, all BnaHKTs were repressed in roots and BnaHKT1;3a, BnaHKT1;3b and BnaHKT1;4b were inhibited in different tissues, while BnaHKT1;1a, BnaHKT1;1b, BnaHKT1;2a, BnaHKT1;2b and BnaHKT1;4a showed the highest expression levels in hypocotyls (Figure 8). Under Cd2+ treatment, all BnaHKTs were obviously downregulated, including BnaHKT1;1a, and BnaHKT1;1b in roots, hypocotyls, and cotyledons; BnaHKT1;2a and BnaHKT1;4a in roots and cotyledons. Our findings indicate that these BnaHKTs showed the different expression levels in response to heavy-metal stress, suggesting that they may have potential functions in protection from heavy-metal stress.

2.9. Cis-Element Analysis of BnaHKT Promoters

We carried out cis-element analyses in the 2000 bp regions upstream of the BnaHKT gene transcription start sites, and identified several fundamental cis-acting elements related to hormone, plant development and abiotic responses. In this study, each BnaHKT promoter contained the light-responsive elements (LRE) [39] and cis-acting regulatory element involved in the MeJA (methyl jasmonate response element) responsiveness [40]. Moreover, in BnaHKT promoters, our predictions revealed six types of phytohormone-responsive cis-elements (including ABA, auxin and GA-responsive elements), three types of stress-resistance cis-elements (defense, drought-inducibility, and low-temperature responsiveness) and six types of cis-elements involved in plant growth and development (Figure 9). These data indicate that BnaHKT genes play important roles in stress resistance, plant biology and hormone signaling pathways.

3. Discussion

The HKT family is a plant-specific protein family that is believed to control a variety of developmental and stress responses in plants [6,7]. Previous studies showed that the HKT family genes regulate K+ concentration and homeostasis in plants [7,36]. To date, the HKT family has been identified in different species [8,9,10,11,12,14,15,16,17,18,19,20]. In this study, we identified 36 HKT family members in the six Brassica U-triangle species. Although divergences were found among the number of HKT genes in Brassica species, the number of HKT genes in B. juncea (AABB, 8), B. napus (AACC, 8), and B. carinata (BBCC, 8) was roughly equal to the sum of those in their corresponding diploid ancestors B. rapa (AA, 5) plus B. nigra (BB, 4), B. rapa (AA, 5) plus B. oleracea (CC, 3), and B. nigra (BB, 4) plus B. oleracea (CC, 3), respectively. In addition, based on our analysis of Ka/Ks values, most of the HKT genes experienced strong purifying selective pressure during evolution, and they retained a high degree of collinearity along their respective chromosomes after diverting from the same ancestor.
Previous studies have shown that HKT family proteins can be categorized as class I and class II according to the presence of different functional residues [7]. Moreover, HKT members in dicots contain only subgroup I (S-G-G-G) [7]. In agreement, all HKT genes in the six Brassica species were all assigned to subgroup I (S-G-G-G) (Figure 2.). In this study, we also categorized the HKT family members into four subgroups (HKT1;1 to HKT1;4) based on their evolutionary relationships and reconstructed a phylogenetic tree. Located in the same larger phylogenetic branch, members in HKT1;3 and HKT1;4 are more closely related to each other than to members of other subgroups. The HKT family members showed a higher similarity in motif pattern, gene structure, parallel physical positions within the same subgroups, and variation between the different branches and members. In addition, we detected Motifs 1, 2, 3, and 4 in all HKT family members, suggesting that these four motifs represent the functional domains that play ion transport roles in the HKT family, a result consistent with previous studies [41]. By contrast, Motif 5 was lacking in some of the family members but might still retained some properties as HKT proteins. These results suggest that, in each subgroup, HKT family genes might have experienced the same evolutionary pressures and have similar functions.
In modern agricultural practices, abiotic stresses are a major constraint to crop production [42]. HKT family members have many functions, including Na+ and K+ uptake and Na+-K+ homeostasis [7,13]. Our results confirmed that the expression of HKT genes was induced under low K+ concentration, corroborating the basic function of this family under high-salinity conditions. In this study, BnaHKT1;1a and BnaHKT1;1b were induced by low-K+ (Figure 6), suggesting that they may play positive roles in regulating potassium content and maintaining homeostasis [13,43]. However, because ion transport involves many internal mechanisms, we also examined some other possible functions, such as phytohormone treatments and heavy-metal stress. Among these, ABA, auxin, ethylene, and gibberellin play important roles in signaling and response to various stresses such as salinity by influencing physiological mechanisms, activating related proteins, changing root structure, and interacting with each other to regulate plant growth and development [13,43,44,45,46,47,48,49]. Research has also described the functions of HKT genes in response to phytohormones in vivo [13,44]. The raise of ethylene levels can increase sodium accumulation in the shoot and salt sensitivity in rice by inducing OsHKT2;1 [43]. However, the detailed expression patterns of HKT genes have been lacking in B. napus. In the present study, phytohormones obviously activate the expression of BnaHKT1;2b, BnaHKT1;2a, BnaHKT1;3a and BnaHKT1;3b (Figure 7).
Promoter cis-elements play vital roles in environmental adaptation by plants, and analysis of these elements provides a promising method for investigating the possible functions of their associated genes [50]. All of the BnaHKT genes have phytohormone, plant development and abiotic response cis-elements (Figure 9). Research shows inclusion of ABI4-binding cis-element reduces SlSOS2 expression, decreasing salt resistance in the cultivated tomato [51]. Moreover, ABRE and G-box elements are favorable binding sites of bZIP TFs that regulate stress responses [52]. AtbZIP24 and ABI4 can also negatively regulate AtHKT1;1, affecting salt stress tolerance [53]. Therefore, cis-elements play crucial roles in stress tolerance. Based on our findings, BnaHKT play a role in response to low K+ stress and are induced by hormones in response to the stress response, growth, and development.
Heavy-metal pollution has become one of the most important factors restricting crop yield and quality [42]. Considerable evidence supports the idea that Brassica species have a high tolerance to heavy metals [54], and Brassica species are considered heavy-metal accumulators [35]. In this study, we predicted the potential roles of BnaHKTs under heavy-metal stress. Notably, the expression level of BnaHKTs could be sensitive to heavy metals in B. napus, but they display the functional redundancy in different conditions (Figure 8). Overall, our study systematically studied the characteristics of HKT family genes in U-triangle species and documented the expression profiles of BnaHKT genes under low K+ treatment, phytohormone treatments and heavy-metal stress. These results lay a foundation for further elucidating the function of BnaHKTs, and can contribute to improve capacity of the B. napus in response to abiotic stresses.

4. Materials and Methods

4.1. Identification and Annotation of HKT Family Genes

The HKT protein sequences from Arabidopsis, and U-triangle species (B. rapa, Bra, genotype AA; B. nigra, Bni, genotype BB; B. oleracea, Bol, genotype CC; B. juncea, Bju, genotype AABB; B. napus, Bna, genotype AACC; B. carinata, Bca, genotype BBCC) were downloaded from the TAIR database (https://www.arabidopsis.org/ (accessed on 16 November 2022)), the Brassica Database (BRAD, http://brassicadb.cn (accessed on 16 November 2022)) and the Brassica napus multi-omics information resource database (BnIR, https://yanglab.hzau.edu.cn/BnIR (accessed on 16 November 2022)) [55]. The HKT family genes were predicted using the only known HKT gene in Arabidopsis thaliana, At4g10310 (AtHKT1;1), and the previously studied 29 sequences [41] as queries. NCBI Blastp program (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome (accessed on 24 November 2022)) [56] and Tbtools-BLAST were used to identify the HKT family proteins with default parameters [57]. To examine conserved domains of HKT proteins after BLAST, the National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/Structure/cdd (accessed on 26 November 2022)) [38] conservative structure domain database (CDD), InterPro [58] online classification of a protein family were used, with an HMM search for proteins containing the TrkH domain (pfam number: PF02386, http://pfam.xfam.org/ (accessed on 26 November 2022)) [59]. The redundant members without the TrkH domain were discarded due to incomplete functions. Eventually, 36 members were identified. Tbtools-Protein Paramter Calc was used to predict the length (number of amino acid residues), molecular weight (MW, in kDa), isoelectric point (pI) and stability index of each HKT protein sequence [57]. Plant Cell—PLoc 2.0—mPLoc (http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/ (accessed on 8 December 2022)) was used to predict the subcellular locations of proteins [60].

4.2. Phylogenetic and Sequence Analysis of HKT Gene Family Members

MEGA 7.0 (Tokyo Metropolitan University, Tokyo, Japan) was used to build a phylogenetic tree with maximum likelihood method with specific parameters as follows: muscle alignment, Jones–Taylor–Thornton (JTT) model, Bootstrap method 1000, and Partial deletion 80% [61]. Then, evolview (https://www.evolgenius.info/evolview/#/ (accessed on 10 December 2022)) was used to visually refine the phylogenetic tree for presentation [62].
To predict the presence of transmembrane helices in the HKT family proteins in the six Brassica species, the online software DeepTMHMM Server (https://dtu.biolib.com/DeepTMHMM (accessed on 11 January 2022)) was used [11,63]. To analyze sequences in Arabidopsis and the U-triangle species, the ClustalW software (Kyoto University Bioinformatics Center) (https://www.genome.jp/tools-bin/clustalw (accessed on 3 February 2022)) was used, with general settings parameters as follows: fast/approximate pairwise alignment, clustal output format [64]. The ClustalW results were visualized by ESPript 3.0 (https://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi (accessed on 3 February 2022)) [65]. Then, the sequence logos of the four P-loops were generated from WebLogo Version 2.8.2 (http://weblogo.berkeley.edu/logo.cgi (accessed on 4 February 2022)) [66]. The 2000-bp regions 5’ to the translation start sites of each HKT gene were acquired from the Brassica napus L. information resource (BnIR) as a promoter sequence by Tbtools [55,57], and the cis-elements were analyzed using the PlantCARE website (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/ (accessed on 3 February 2022)) [11,67].

4.3. Structural Analysis of Conserved Motifs and Genes of the HKT Family Members

The online program Multiple Expectation Maximization for Motif Elucidation (MEME) (https://meme-suite.org/meme/doc/meme.html (accessed on 1 February 2022)) was used to identify and analyze the conserved motif of the HKT family members [68]. The specific parameters were as follows: zero or one occurrence per sequence, maximum number of motifs 5; and optimum width of each motif between 6 wide and 50 wide (inclusive) [69]. The motif structure and gene structure are shown together with the evolutionary tree using the Gene Structure View in TBtools software (https://github.com/CJ-Chen/TBtools (accessed on 1 February 2022)) [57].

4.4. Chromosomal Localization and Colinearity Analysis of HKT Genes

The chromosomal location information of HKT family genes was extracted using the genome sequence annotation of Brassica species (BnIR, https://yanglab.hzau.edu.cn/BnIR (accessed on 16 November 2022)) [55]; the HKT family genes were mapped to their corresponding chromosomes by using MapChart V2.32 [70]. Moreover, tandem repeats were identified based on the physical location of HKT tandem repeats on a single chromosome. To better understand the colinearity relationship, TBtools-One Step MCScanX and TBtools-Amazing Super Circos were used to analyze the homologous genetic relationships among HKT genes [57]. Then, the nonsynonymous substitution rates (Ka), synonymous substitution rates (Ks) and Ka/Ks ratios were calculated to estimate selection pressures during evolution.

4.5. Expression Profile Analysis of HKT Genes

The rapeseed cultivar Zhongshuang 11 (ZS11) was used as the plant material for potassium and hormone treatments (IAA, GA3, 6-BA, ABA, and ACC). The plant materials and treatments were as described previously [71], and RNA-Seq data were obtained from BnaGADB v1.0 (http://www.bnagadb.cn/ (accessed on 2 January 2022)) to investigate the phytohormone-responsive expression patterns of BnaHKTs. For heavy-metal treatments, 15 mg/L As and 30 mg/L Cd were used as a most optimal concentration due to the previous study [33]. The healthy seeds were selected from P163 and P087 and treated with distilled water (the control) and 15 mg/L As or 30 mg/L Cd. The relative expression levels of all BnaHKT genes were calculated using TopHat and Cufflinks, and normalized into FPKM values (fragments per kilobase of transcript per million mapped reads) [72,73]. Finally, to better display the data, the data were converted into Log10 (FPKM value + 1) followed by TBtools [57] to generate the heatmaps to show BnaHKT expression. The RNA-seq datasets, calculation methods and so on were as described elsewhere [72].

4.6. RT-qPCR Analysis of BnaHKT Genes

Total RNA extraction and RT-qPCR analysis are the same as described in our previous research [33]. The qualified RNA was reverse transcribed into complementary DNA (cDNA) with an RNA PCR Kit (AMV) Ver. 3.0 (Takara, Dalian, China). The subsequent qPCR analysis was performed using SYBR Premix Ex Taq II (Takara, Dalian, China) on a Bio-Rad CFX96 Real Time System (Bio-Rad Laboratories, Hercules, CA, USA) as previously described [33]. Finally, the results were normalized to the reference gene BnaActin7 (EV116054) [74] via the 2−∆∆Ct method [75]. Error bars represent standard errors from three independent biological replicates in this study. The primers are listed in Table S1.

5. Conclusions

In this study, we identified 36 HKT family genes in the six Brassica U-triangle species, and classified them into four subgroups according to their evolutionary relationships. Most of the HKT family genes experienced strong purifying selective pressure after duplication. On the basis of BnaHKTs transcript levels, functional diversity is displayed: BnaHKT1;1a and BnaHKT1;1b induced by low K+, BnaHKT1;2a, BnaHKT1;2b, BnaHKT1;3a and BnaHKT1;3b sensitive to phytohormones. Furthermore, most BnaHKTs were strongly suppressed by heavy-metal stress. Our findings provide novel clues for future studies on the potential roles of BnaHKTs in response to heavy-metal stress. In summary, these results provided valuable information to further explore the functional BnaHKTs, and improve the tolerance to heavy-metal stress and other abiotic stresses in Brassica species.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/plants12213768/s1. Table S1: Primers used for RT-qPCR analysis of eight BnaHKT genes.

Author Contributions

Conceptualization, C.Q. and N.Y.; methodology, X.Y.; software, X.Y., S.S. and M.Z.; validation, R.H., S.S. and N.Y.; formal analysis, X.Y., F.S. and Y.L.; resources, H.D. and K.L.; data curation, R.H., F.S. and Y.Z.; writing—original draft preparation, X.Y., C.Q. and N.Y.; writing—review and editing, K.L., C.Q. and N.Y.; supervision, C.Q. and N.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (32001579), Natural Science Foundation of Chongqing (CSTB2022NSCQ-LZX0034, CSTB2022NSCQ-MSX0790), the Innovation and Entrepreneurship Training Program for graduates of Chongqing (cstc2021jcyj-bshX0002), Innovation and Entrepreneurship Training Program for Undergraduates (S202310635158), the China Agriculture Research System of MOF and MARA and the 111 Project (B12006).

Data Availability Statement

All other datasets supporting the results of this article are included within the article and Supplementary Materials.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Qazi, H.A.; Jan, N.; Ramazan, S.; John, R. Protein Modificomics; Academic Press: New York NY, USA, 2019; p. 30. [Google Scholar]
  2. Amrutha, R.N.; Sekhar, P.N.; Varshney, R.K.; Kishor, P.B.K. Genome-wide analysis and identification of genes related to potassium transporter families in rice (Oryza sativa L.). Plant Sci. 2007, 172, 708–721. [Google Scholar] [CrossRef]
  3. Hasanuzzaman, M.; Bhuyan, M.H.M.B.; Nahar, K.; Hossain, M.S.; Mahmud, J.A.; Hossen, M.S.; Masud, A.A.C.; Moumita; Fujita, M. Potassium: A Vital Regulator of Plant Responses and Tolerance to Abiotic Stresses. Agronomy 2018, 8, 31. [Google Scholar] [CrossRef]
  4. Gupta, M.; Qiu, X.; Wang, L.; Xie, W.; Zhang, C.; Xiong, L.; Lian, X.; Zhang, Q. KT/HAK/KUP potassium transporters gene family and their whole-life cycle expression profile in rice (Oryza sativa). Mol. Genet. Genomics. 2008, 280, 437–452. [Google Scholar] [CrossRef] [PubMed]
  5. Mäser, P.; Thomine, S.; Schroeder, J.I.; Ward, J.M.; Hirschi, K.; Sze, H.; Talke, I.N.; Amtmann, A.; Maathuis, F.J.; Sanders, D.; et al. Phylogenetic relationships within cation transporter families of Arabidopsis. Plant Physiol. 2001, 126, 1646–1667. [Google Scholar] [CrossRef] [PubMed]
  6. Waters, S.; Gilliham, M.; Hrmova, M. Plant High-Affinity Potassium (HKT) Transporters Involved in Salinity Tolerance: Structural Insights to Probe Differences in Ion Selectivity. Int. J. Mol. Sci. 2013, 14, 7660–7680. [Google Scholar] [CrossRef]
  7. Riedelsberger, J.; Miller, J.K.; Valdebenito-Maturana, B.; Piñeros, M.A.; González, W.; Dreyer, I. Plant HKT Channels: An Updated View on Structure, Function and Gene Regulation. Int. J. Mol. Sci. 2021, 22, 1892. [Google Scholar] [CrossRef]
  8. Huang, S.; Spielmeyer, W.; Lagudah, E.S.; Munns, R. Comparative mapping of HKT genes in wheat, barley, and rice, key determinants of Na+ transport, and salt tolerance. J. Exp. Bot. 2008, 59, 927–937. [Google Scholar] [CrossRef]
  9. Zhang, S.; Tong, Y.; Li, Y.; Cheng, Z.M.; Zhong, Y. Genome-wide identification of the HKT genes in five Rosaceae species and expression analysis of HKT genes in response to salt-stress in Fragaria vesca. Genes Genom. 2019, 41, 325–336. [Google Scholar] [CrossRef]
  10. Schachtman, D.P.; Schroeder, J.I. Structure and transport mechanism of a high-affinity potassium uptake transporter from higher plants. Nature 1994, 370, 655–658. [Google Scholar] [CrossRef]
  11. Xu, M.; Chen, C.; Cai, H.; Wu, L. Overexpression of PeHKT1;1 Improves Salt Tolerance in Populus. Genes 2018, 9, 475. [Google Scholar] [CrossRef]
  12. Uozumi, N.; Kim, E.J.; Rubio, F.; Yamaguchi, T.; Muto, S.; Tsuboi, A.; Bakker, E.P.; Nakamura, T.; Schroeder, J.I. The Arabidopsis HKT1 gene homolog mediates inward Na+ currents in Xenopus laevis Oocytes and Na+ uptake in Saccharomyces cerevisiae. Plant Physiol. 2000, 122, 1249–1259. [Google Scholar] [CrossRef] [PubMed]
  13. Zamani Babgohari, M.; Ebrahimie, E.; Niazi, A. In silico analysis of high affinity potassium transporter (HKT) isoforms in different plants. Aquat. Biosystems. 2014, 10, 9. [Google Scholar] [CrossRef]
  14. Horie, T.; Yoshida, K.; Nakayama, H.; Yamada, K.; Oiki, S.; Shinmyo, A. Two types of HKT transporters with different properties of Na+ and K+ transport in Oryza sativa. Plant J. 2001, 27, 129–138. [Google Scholar] [CrossRef]
  15. Ren, Z.-H.; Gao, J.-P.; Li, L.-G.; Cai, X.-L.; Huang, W.; Chao, D.-Y.; Zhu, M.-Z.; Wang, Z.-Y.; Luan, S.; Lin, H.-X. A rice quantitative trait locus for salt tolerance encodes a sodium transporter. Nat. Genet. 2005, 37, 1141–1146. [Google Scholar] [CrossRef] [PubMed]
  16. Haro, R.; Bañuelos, M.A.; Senn, M.E.; Barrero-Gil, J.; Rodríguez-Navarro, A. HKT1 Mediates Sodium Uniport in Roots. Pitfalls in the Expression of HKT1 in Yeast. Plant Physiol. 2005, 139, 1495–1506. [Google Scholar] [CrossRef]
  17. Asins, M.J.; Villalta, I.; Aly, M.M.; Olias, R.; De Morales, P.A.; Huertas, R.; Li, J.; Jaime-Perez, N.; Haro, R.; Raga, V.; et al. Two closely linked tomato HKT coding genes are positional candidates for the major tomato QTL involved in Na+/K+ homeostasis. Plant Cell Environ. 2013, 36, 1171–1191. [Google Scholar] [CrossRef] [PubMed]
  18. Wang, T.T.; Ren, Z.J.; Liu, Z.Q.; Feng, X.; Guo, R.Q.; Li, B.G.; Li, L.G.; Jing, H.C. SbHKT1;4, a member of the high-affinity potassium transporter gene family from Sorghum bicolor, functions to maintain optimal Na+/K+ balance under Na+ stress. J. Integr. Plant Biol. 2014, 56, 315–332. [Google Scholar] [CrossRef] [PubMed]
  19. Rehman, H.M.; Nawaz, M.A.; Shah, Z.H.; Daur, I.; Khatoon, S.; Yang, S.H.; Chung, G. In-Depth Genomic and Transcriptomic Analysis of Five K+ Transporter Gene Families in Soybean Confirm Their Differential Expression for Nodulation. Front. Plant Sci. 2017, 8, 804. [Google Scholar] [CrossRef]
  20. Yang, Y.L.; Cheng, J.J.; Han, H.R.; Sun, R.; Li, Y.J.; Zhang, Y.K.; Han, Y.H.; Zhang, H.; Li, X.K. Genome-wide identification of the HKT transcription factor family and their response to salt stress in foxtail millet (Setaria italica). Plant Growth Regul. 2023, 99, 113–123. [Google Scholar] [CrossRef]
  21. Hamamoto, S.; Horie, T.; Hauser, F.; Deinlein, U.; Schroeder, J.I.; Uozumi, N. HKT transporters mediate salt stress resistance in plants: From structure and function to the field. Curr. Opin. Biotechnol. 2015, 32, 113–120. [Google Scholar] [CrossRef] [PubMed]
  22. Maser, P.; Hosoo, Y.; Goshima, S.; Horie, T.; Eckelman, B.; Yamada, K.; Yoshida, K.; Bakker, E.P.; Shinmyo, A.; Oiki, S.; et al. Glycine residues in potassium channel-like selectivity filters determine potassium selectivity in four-loop-per-subunit HKT transporters from plants. Proc. Natl. Acad. Sci. USA 2002, 99, 6428–6433. [Google Scholar] [CrossRef] [PubMed]
  23. Horie, T.; Hauser, F.; Schroeder, J.I. HKT transporter-mediated salinity resistance mechanisms in Arabidopsis and monocot crop plants. Trends Plant Sci. 2009, 14, 660–668. [Google Scholar] [CrossRef]
  24. Kim, C.K.; Seol, Y.J.; Perumal, S.; Lee, J.; Waminal, N.E.; Jayakodi, M.; Lee, S.C.; Jin, S.; Choi, B.S.; Yu, Y.; et al. Re-exploration of U’s Triangle Brassica Species Based on Chloroplast Genomes and 45S nrDNA Sequences. Sci. Rep. 2018, 8, 7353. [Google Scholar] [CrossRef] [PubMed]
  25. Yim, W.C.; Swain, M.L.; Ma, D.N.; An, H.; Bird, K.A.; Curdie, D.D.; Wang, S.; Ham, H.D.; Luzuriaga-Neira, A.; Kirkwood, J.S.; et al. The final piece of the Triangle of U: Evolution of the tetraploid Brassica carinata genome. Plant Cell. 2022, 34, 4143–4172. [Google Scholar] [CrossRef] [PubMed]
  26. Kong, L.J.; Zhao, K.; Gao, Y.Y.; Miao, L.M.; Chen, C.Q.; Deng, H.; Liu, Z.N.; Yu, X.L. Comparative analysis of cytokinin response factors in Brassica diploids and amphidiploids and insights into the evolution of Brassica species. Bmc Genomics. 2018, 19, 728. [Google Scholar] [CrossRef]
  27. Wen, J.; Guo, P.; Ke, Y.; Liu, M.; Li, P.; Wu, Y.; Ran, F.; Wang, M.; Li, J.; Du, H. The auxin response factor gene family in allopolyploid Brassica Napus. PLoS ONE. 2019, 14, e0214885. [Google Scholar] [CrossRef] [PubMed]
  28. Li, W.; Chen, F.; Wang, Y.; Zheng, H.; Yi, Q.; Ren, Y.; Gao, J. Genome-wide identification and functional analysis of ARF transcription factors in Brassica juncea var. tumida. PLoS ONE. 2020, 15, e0232039. [Google Scholar] [CrossRef] [PubMed]
  29. Wang, Z.; Wan, Y.; Meng, X.; Zhang, X.; Yao, M.; Miu, W.; Zhu, D.; Yuan, D.; Lu, K.; Li, J.; et al. Genome-Wide Identification and Analysis of MKK and MAPK Gene Families in Brassica Species and Response to Stress in Brassica Napus. Int. J. Mol. Sci. 2021, 22, 544. [Google Scholar] [CrossRef]
  30. Li, M.D.; Wang, F.; Ma, J.Y.; Liu, H.Z.; Ye, H.; Zhao, P.; Wang, J.B. Comprehensive Evolutionary Analysis of CPP Genes in Brassica napus L. and Its Two Diploid Progenitors Revealing the Potential Molecular Basis of Allopolyploid Adaptive Advantage Under Salt Stress. Front. Plant Sci. 2022, 13, 873071. [Google Scholar] [CrossRef]
  31. Peng, X.Y.; Wu, D.; Zhang, X.; Liu, Q.W.; Lu, Q.L.; Song, M. Identification and Characterization of the HD-Zip Gene Family and Dimerization Analysis of HB7 and HB12 in Brassica napus L. Genes 2022, 13, 2139. [Google Scholar] [CrossRef]
  32. Li, N.N.; Xiao, H.; Sun, J.J.; Wang, S.F.; Wang, J.C.; Chang, P.; Zhou, X.B.; Lei, B.; Lu, K.; Luo, F.; et al. Genome-wide analysis and expression profiling of the HMA gene family in Brassica napus under cd stress. Plant and Soil. 2018, 426, 365–381. [Google Scholar] [CrossRef]
  33. Wan, Y.Y.; Wang, Z.; Xia, J.C.; Shen, S.L.; Guan, M.W.; Zhu, M.C.; Qiao, C.L.; Sun, F.J.; Liang, Y.; Li, J.; et al. Genome-Wide Analysis of Phosphorus Transporter Genes in Brassica and Their Roles in Heavy Metal Stress Tolerance. Int. J. Mol. Sci. 2020, 21, 2209. [Google Scholar] [CrossRef] [PubMed]
  34. Bandopadhyay, L.; Mukherjee, S.; Sikdar, S.R. Estimating the salt tolerance level of Brassica juncea B-85 (Seeta) variety by physiological and biochemical analysis. Plant Physiol. Reports. 2021, 26, 374–380. [Google Scholar] [CrossRef]
  35. Mourato, M.P.; Moreira, I.N.; Leitao, I.; Pinto, F.R.; Sales, J.R.; Martins, L.L. Effect of Heavy Metals in Plants of the Genus Brassica. Int. J. Mol. Sciences. 2015, 16, 17975–17998. [Google Scholar] [CrossRef] [PubMed]
  36. Hauser, F.; Horie, T. A conserved primary salt tolerance mechanism mediated by HKT transporters: A mechanism for sodium exclusion and maintenance of high K+/Na+ ratio in leaves during salinity stress. Plant Cell Environ. 2010, 33, 552–565. [Google Scholar] [CrossRef]
  37. Schlösser, A.; Meldorf, M.; Stumpe, S.; Bakker, E.P.; Epstein, W. TrkH and its homolog, TrkG, determine the specificity and kinetics of cation transport by the Trk system of Escherichia coli. J. Bacteriol. 1995, 177, 1908–1910. [Google Scholar] [CrossRef]
  38. Marchler-Bauer, A.; Bo, Y.; Han, L.Y.; He, J.E.; Lanczycki, C.J.; Lu, S.N.; Chitsaz, F.; Derbyshire, M.K.; Geer, R.C.; Gonzales, N.R.; et al. CDD/SPARCLE: Functional classification of proteins via subfamily domain architectures. Nucleic Acids Research. 2017, 45, D200–D203. [Google Scholar] [CrossRef]
  39. Chattopadhyay, S.; Puente, P.; Deng, X.W.; Wei, N. Combinatorial interaction of light-responsive elements plays a critical role in determining the response characteristics of light-regulated promoters in Arabidopsis. Plant J. 1998, 15, 69–77. [Google Scholar] [CrossRef]
  40. Rouster, J.; Leah, R.; Mundy, J.; Cameron-Mills, V. Identification of a methyl jasmonate-responsive region in the promoter of a lipoxygenase 1 gene expressed in barley grain. Plant J. 1997, 11, 513–523. [Google Scholar] [CrossRef]
  41. Li, H.; Xu, G.; Yang, C.; Yang, L.; Liang, Z. Genome-wide identification and expression analysis of HKT transcription factor under salt stress in nine plant species. Ecotoxicol. Env. Saf. 2019, 171, 435–442. [Google Scholar] [CrossRef] [PubMed]
  42. Singh, S.; Parihar, P.; Singh, R.; Singh, V.P.; Prasad, S.M. Heavy Metal Tolerance in Plants: Role of Transcriptomics, Proteomics, Metabolomics, and Ionomics. Front. Plant Sci. 2015, 6, 1143. [Google Scholar] [CrossRef]
  43. Martínez-Andújar, C.; Albacete, A.; Martínez-Pérez, A.; Pérez-Pérez, J.M.; Asins, M.J.; Pérez-Alfocea, F. Root-to-Shoot Hormonal Communication in Contrasting Rootstocks Suggests an Important Role for the Ethylene Precursor Aminocyclopropane-1-carboxylic Acid in Mediating Plant Growth under Low-Potassium Nutrition in Tomato. Front. Plant Sci. 2016, 7, 1782. [Google Scholar] [CrossRef]
  44. Waadt, R.; Seller, C.A.; Hsu, P.K.; Takahashi, Y.; Munemasa, S.; Schroeder, J.I. Publisher Correction: Plant hormone regulation of abiotic stress responses. Nat Rev Mol Cell Biol. 2022, 23, 516. [Google Scholar] [CrossRef] [PubMed]
  45. Van de Poel, B.; Van Der Straeten, D. 1-aminocyclopropane-1-carboxylic acid (ACC) in plants: More than just the precursor of ethylene! Front. Plant Sci. 2014, 5, 640. [Google Scholar] [CrossRef]
  46. Ribba, T.; Garrido-Vargas, F.; O’Brien, J.A. Auxin-mediated responses under salt stress: From developmental regulation to biotechnological applications. J. Exp. Bot. 2020, 71, 3843–3853. [Google Scholar] [CrossRef] [PubMed]
  47. Parveen, A.; Ahmar, S.; Kamran, M.; Malik, Z.; Ali, A.; Riaz, M.; Abbasi, G.H.; Khan, M.; Sohail, A.B.; Rizwan, M.; et al. Abscisic acid signaling reduced transpiration flow, regulated Na+ ion homeostasis and antioxidant enzyme activities to induce salinity tolerance in wheat (Triticum aestivum L.) seedlings. Environ. Technol. Innov. 2021, 24, 101808. [Google Scholar] [CrossRef]
  48. Chen, G.; Zheng, D.; Feng, N.; Zhou, H.; Mu, D.; Zhao, L.; Shen, X.; Rao, G.; Meng, F.; Huang, A. Physiological mechanisms of ABA-induced salinity tolerance in leaves and roots of rice. Sci. Rep. 2022, 12, 8228. [Google Scholar] [CrossRef]
  49. Colebrook, E.H.; Thomas, S.G.; Phillips, A.L.; Hedden, P. The role of gibberellin signalling in plant responses to abiotic stress. J. Exp. Biol. 2014, 217, 67–75. [Google Scholar] [CrossRef] [PubMed]
  50. Shen, G.; Sun, W.; Chen, Z.; Shi, L.; Hong, J.; Shi, J. Plant GDSL Esterases/Lipases: Evolutionary, Physiological and Molecular Functions in Plant Development. Plants 2022, 11, 468. [Google Scholar] [CrossRef]
  51. Hong, Y.; Guan, X.; Wang, X.; Kong, D.; Yu, S.; Wang, Z.; Yu, Y.; Chao, Z.F.; Liu, X.; Huang, S.; et al. Natural variation in SlSOS2 promoter hinders salt resistance during tomato domestication. Hortic. Res. 2023, 10, uhac244. [Google Scholar] [CrossRef]
  52. Sheshadri, S.A.; Nishanth, M.J.; Simon, B. Stress-Mediated cis-Element Transcription Factor Interactions Interconnecting Primary and Specialized Metabolism in planta. Front. Plant Sci. 2016, 7, 1725. [Google Scholar] [CrossRef]
  53. Dave, A.; Agarwal, P.; Agarwal, P.K. Mechanism of high affinity potassium transporter (HKT) towards improved crop productivity in saline agricultural lands. 3 Biotech 2022, 12, 51. [Google Scholar] [CrossRef] [PubMed]
  54. Kumar, V.; Mahajan, M.; Yadav, S.K. Toxic Metals Accumulation, Tolerance and Homeostasis in Brassicaoilseed Species: Overview of Physiological, Biochemical and Molecular Mechanisms. In The Plant Family Brassicaceae: Contribution Towards Phytoremediation; Anjum, N.A., Ahmad, I., Pereira, M.E., Duarte, A.C., Umar, S., Khan, N.A., Eds.; Springer: Dordrecht, The Netherlands, 2012; pp. 171–211. [Google Scholar]
  55. Yang, Z.; Wang, S.; Wei, L.; Huang, Y.; Liu, D.; Jia, Y.; Luo, C.; Lin, Y.; Liang, C.; Hu, Y.; et al. BnIR: A multi-omics database with various tools for Brassica Napus research and breeding. Mol. Plant. 2023, 16, 775–789. [Google Scholar] [CrossRef]
  56. Sayers, E.W.; Bolton, E.E.; Brister, J.R.; Canese, K.; Chan, J.; Comeau, D.C.; Connor, R.; Funk, K.; Kelly, C.; Kim, S.; et al. Database resources of the national center for biotechnology information. Nucleic Acids Res. 2022, 50, D20–D26. [Google Scholar] [CrossRef] [PubMed]
  57. Chen, C.; Chen, H.; Zhang, Y.; Thomas, H.R.; Frank, M.H.; He, Y.; Xia, R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol. Plant. 2020, 13, 1194–1202. [Google Scholar] [CrossRef] [PubMed]
  58. Blum, M.; Chang, H.Y.; Chuguransky, S.; Grego, T.; Kandasaamy, S.; Mitchell, A.; Nuka, G.; Paysan-Lafosse, T.; Qureshi, M.; Raj, S.; et al. The InterPro protein families and domains database: 20 years on. Nucleic Acids Res. 2021, 49, D344–D354. [Google Scholar] [CrossRef]
  59. Mistry, J.; Chuguransky, S.; Williams, L.; Qureshi, M.; Salazar, G.A.; Sonnhammer, E.L.L.; Tosatto, S.C.E.; Paladin, L.; Raj, S.; Richardson, L.J.; et al. Pfam: The protein families database in 2021. Nucleic Acids Research. 2021, 49, D412–D419. [Google Scholar] [CrossRef]
  60. Chou, K.C.; Shen, H.B. Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization. PLoS ONE. 2010, 5, e11335. [Google Scholar] [CrossRef] [PubMed]
  61. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evolution. 2016, 33, 1870–1874. [Google Scholar] [CrossRef]
  62. Subramanian, B.; Gao, S.H.; Lercher, M.J.; Hu, S.N.; Chen, W.H. Evolview v3: A webserver for visualization, annotation, and management of phylogenetic trees. Nucleic Acids Res. 2019, 47, W270–W275. [Google Scholar] [CrossRef]
  63. Hallgren, J.; Tsirigos, K.D.; Pedersen, M.D.; Almagro Armenteros, J.J.; Marcatili, P.; Nielsen, H.; Krogh, A.; Winther, O. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks. bioRxiv 2022, 487609. [Google Scholar] [CrossRef]
  64. Thompson, J.D.; Gibson, T.J.; Plewniak, F.; Jeanmougin, F.; Higgins, D.G. The CLUSTAL_X windows interface: Flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res. 1997, 25, 4876–4882. [Google Scholar] [CrossRef] [PubMed]
  65. Robert, X.; Gouet, P. Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Research. 2014, 42, W320–W324. [Google Scholar] [CrossRef]
  66. Crooks, G.E.; Hon, G.; Chandonia, J.M.; Brenner, S.E. WebLogo: A sequence logo generator. Genome Research. 2004, 14, 1188–1190. [Google Scholar] [CrossRef] [PubMed]
  67. Lescot, M.; Déhais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Van de Peer, Y.; Rouzé, P.; Rombauts, S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef] [PubMed]
  68. Bailey, T.L.; Johnson, J.; Grant, C.E.; Noble, W.S. The MEME Suite. Nucleic Acids Res. 2015, 43, W39–W49. [Google Scholar] [CrossRef] [PubMed]
  69. Bailey, T.L.; Elkan, C. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proc. Int. Conf. Intell. Syst. Mol. Biol. 1994, 2, 28–36. [Google Scholar]
  70. Voorrips, R.E. MapChart: Software for the graphical presentation of linkage maps and QTLs. J. Hered. 2002, 93, 77–78. [Google Scholar] [CrossRef]
  71. Zhou, J.; Zhou, H.J.; Chen, P.; Zhang, L.L.; Zhu, J.T.; Li, P.F.; Yang, J.; Ke, Y.Z.; Zhou, Y.H.; Li, J.N.; et al. Genome-Wide Survey and Expression Analysis of the KT/HAK/KUP Family in Brassica napus and Its Potential Roles in the Response to K+ Deficiency. Int. J. Mol. Sci. 2020, 21, 9487. [Google Scholar] [CrossRef]
  72. Sun, F.; Chen, Z.; Zhang, Q.; Wan, Y.; Hu, R.; Shen, S.; Chen, S.; Yin, N.; Tang, Y.; Liang, Y.; et al. Genome-Wide Identification of the TIFY Gene Family in Brassiceae and Its Potential Association with Heavy Metal Stress in Rapeseed. Plants 2022, 11, 667. [Google Scholar] [CrossRef]
  73. Trapnell, C.; Roberts, A.; Goff, L.; Pertea, G.; Kim, D.; Kelley, D.R.; Pimentel, H.; Salzberg, S.L.; Rinn, J.L.; Pachter, L. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat. Protoc. 2012, 7, 562–578. [Google Scholar] [CrossRef] [PubMed]
  74. Qu, C.; Fu, F.; Lu, K.; Zhang, K.; Wang, R.; Xu, X.; Wang, M.; Lu, J.; Wan, H.; Zhanglin, T.; et al. Differential accumulation of phenolic compounds and expression of related genes in black- and yellow-seeded Brassica napus. J. Exp. Bot. 2013, 64, 2885–2898. [Google Scholar] [CrossRef] [PubMed]
  75. Zhang, J.D.; Ruschhaupt, M.; Biczok, R. ddCt method for qRT–PCR data analysis. Citeseer 2013, 48, 346–356. [Google Scholar]
Plants 12 03768 g001
Figure 1. Phylogenetic tree of the HKT protein family from Arabidopsis and the Brassica U-triangle species. The HKT family was divided into four subgroups (HKT1;1–4), which are shown in red, blue, purple and green for HKT1;1–4, respectively. Arabidopsis, red star; B. napus, yellow star; B. rapa, white star; B. juncea, black star; B. oleracea, purple star; B. carinata, blue star; B. nigra, green star. For renaming, a species-specific prefix is included, and a lowercase letter suffix is used to represent the gene number within each clade. The dark red numbers beside the main nodes are bootstrap scores.
Figure 1. Phylogenetic tree of the HKT protein family from Arabidopsis and the Brassica U-triangle species. The HKT family was divided into four subgroups (HKT1;1–4), which are shown in red, blue, purple and green for HKT1;1–4, respectively. Arabidopsis, red star; B. napus, yellow star; B. rapa, white star; B. juncea, black star; B. oleracea, purple star; B. carinata, blue star; B. nigra, green star. For renaming, a species-specific prefix is included, and a lowercase letter suffix is used to represent the gene number within each clade. The dark red numbers beside the main nodes are bootstrap scores.
Plants 12 03768 g001
Plants 12 03768 g002
Figure 2. Sequence analysis of HKT family members in Arabidopsis and the Brassica U-triangle species. (A) Sequence alignment of the conserved pore domain is shown in the figure, and P1–P4 indicate the four pore domains. The red triangles indicate the locations of sequences that are less conserved. The yellow shading represents the crucial residues that were used for classification. The subgroups are labeled in the same colors as in Figure 1. (B) WebLogos analysis of the conservation at the S1 and G2 amino acid residue pore-forming regions. (C) The transmembrane helices are labeled I to VIII with the conserved residues (S-G-G-G).
Figure 2. Sequence analysis of HKT family members in Arabidopsis and the Brassica U-triangle species. (A) Sequence alignment of the conserved pore domain is shown in the figure, and P1–P4 indicate the four pore domains. The red triangles indicate the locations of sequences that are less conserved. The yellow shading represents the crucial residues that were used for classification. The subgroups are labeled in the same colors as in Figure 1. (B) WebLogos analysis of the conservation at the S1 and G2 amino acid residue pore-forming regions. (C) The transmembrane helices are labeled I to VIII with the conserved residues (S-G-G-G).
Plants 12 03768 g002
Plants 12 03768 g003
Figure 3. Phylogenetic tree, motif distributions, and gene structure analysis of HKTs between Arabidopsis and the U-triangle species. The conserved motif map and gene structure map are shown alongside the phylogenetic tree. (A) Phylogenetic tree of the HKT protein family from Arabidopsis and the Brassica U-triangle species (same with Figure 1). (B) Conserved motifs of the HKT proteins. Five motifs were identified using the MEME program, and are indicated as differently colored boxes. The black lines indicate relative protein lengths. (C) Gene structure of HKT family genes. Coding sequences (CDS), green boxes; introns, gray lines; untranslated regions (UTRs), orange boxes. (D) The sequences of the 5 Motifs for Figure 3B. Each subgroup on the left side is labeled in the same color as in Figure 1.
Figure 3. Phylogenetic tree, motif distributions, and gene structure analysis of HKTs between Arabidopsis and the U-triangle species. The conserved motif map and gene structure map are shown alongside the phylogenetic tree. (A) Phylogenetic tree of the HKT protein family from Arabidopsis and the Brassica U-triangle species (same with Figure 1). (B) Conserved motifs of the HKT proteins. Five motifs were identified using the MEME program, and are indicated as differently colored boxes. The black lines indicate relative protein lengths. (C) Gene structure of HKT family genes. Coding sequences (CDS), green boxes; introns, gray lines; untranslated regions (UTRs), orange boxes. (D) The sequences of the 5 Motifs for Figure 3B. Each subgroup on the left side is labeled in the same color as in Figure 1.
Plants 12 03768 g003
Plants 12 03768 g004
Figure 4. Chromosome localization of HKT genes across U-triangle species. (A) HKT genes located on the A subgenome in B. juncea, B. napus, and B. rapa. (B) HKT genes located on the B subgenome in B. juncea, B. carinata, and B. nigra. (C) HKT genes located on the C subgenome in B. napus, B. carinata, and B. oleracea. The distributions of the HKT genes are in accordance with the evolutionary relationships in U-triangle species. The labels above the corresponding chromosomes indicate the name of the source organisms and their subgenomes. The scales to the left indicate the sizes of the various Brassica chromosomes in Mb. Genes in the same subgroup are shaded using the same colors as in Figure 1.
Figure 4. Chromosome localization of HKT genes across U-triangle species. (A) HKT genes located on the A subgenome in B. juncea, B. napus, and B. rapa. (B) HKT genes located on the B subgenome in B. juncea, B. carinata, and B. nigra. (C) HKT genes located on the C subgenome in B. napus, B. carinata, and B. oleracea. The distributions of the HKT genes are in accordance with the evolutionary relationships in U-triangle species. The labels above the corresponding chromosomes indicate the name of the source organisms and their subgenomes. The scales to the left indicate the sizes of the various Brassica chromosomes in Mb. Genes in the same subgroup are shaded using the same colors as in Figure 1.
Plants 12 03768 g004
Plants 12 03768 g005
Figure 5. Collinearity analysis of HKT family genes between Arabidopsis and U-triangle species. (A) Collinearity analysis of HKT family genes among Arabidopsis, B. nigra, B. oleracea, and B. carinata. (B) Collinearity analysis of HKT family genes among Arabidopsis, B. nigra, B. rapa, and B. juncea. (C) Collinearity analysis of HKT family genes among Arabidopsis, B. oleracea, B. rapa, and B. napus. AtChr4 is the only chromosome with one HKT gene in Arabidopsis. The chromosomes are shown in different colors from the U-triangle species. The different colored lines represent the syntenic regions. The scales represent the length of the chromosomes.
Figure 5. Collinearity analysis of HKT family genes between Arabidopsis and U-triangle species. (A) Collinearity analysis of HKT family genes among Arabidopsis, B. nigra, B. oleracea, and B. carinata. (B) Collinearity analysis of HKT family genes among Arabidopsis, B. nigra, B. rapa, and B. juncea. (C) Collinearity analysis of HKT family genes among Arabidopsis, B. oleracea, B. rapa, and B. napus. AtChr4 is the only chromosome with one HKT gene in Arabidopsis. The chromosomes are shown in different colors from the U-triangle species. The different colored lines represent the syntenic regions. The scales represent the length of the chromosomes.
Plants 12 03768 g005
Plants 12 03768 g006
Figure 6. Expression profiles of BnaHKTs under potassium treatment. The expression profiles of each BnaHKT were calculated as Log10 (FPKM value + 1). L, leaves; R, roots; d: days; LK, low-potassium treatment; CK (control) indicates normal nutrient solution with no potassium deficiency. FPKM, fragments per kilobase of exon model per million.
Figure 6. Expression profiles of BnaHKTs under potassium treatment. The expression profiles of each BnaHKT were calculated as Log10 (FPKM value + 1). L, leaves; R, roots; d: days; LK, low-potassium treatment; CK (control) indicates normal nutrient solution with no potassium deficiency. FPKM, fragments per kilobase of exon model per million.
Plants 12 03768 g006
Plants 12 03768 g007
Figure 7. Expression profiles of BnaHKTs under phytohormone treatments. The expression profiles of the BnaHKTs were calculated as Log10 (FPKM value + 1). IAA, indole-3-acetic acid or heteroauxin; ACC, 1-aminocyclopropanecarboxylic acid; ABA, abscisic acid; GA3, gibberellins; 6-BA, 6-benzyladenine. CK (control) indicates normal nutrient solution with no phytohormone treatments. Labels 1 h, 3 h, 6 h, 12 h, and 24 h represent the hours after treatment.
Figure 7. Expression profiles of BnaHKTs under phytohormone treatments. The expression profiles of the BnaHKTs were calculated as Log10 (FPKM value + 1). IAA, indole-3-acetic acid or heteroauxin; ACC, 1-aminocyclopropanecarboxylic acid; ABA, abscisic acid; GA3, gibberellins; 6-BA, 6-benzyladenine. CK (control) indicates normal nutrient solution with no phytohormone treatments. Labels 1 h, 3 h, 6 h, 12 h, and 24 h represent the hours after treatment.
Plants 12 03768 g007
Plants 12 03768 g008
Figure 8. Expression patterns of BnaHKTs under As3+ or Cd2+ treatment. Data obtained by RT-qPCR were normalized to the expression level of BnaActin7, and error bars represent the standard deviation (SD) of three biological replicates Statistically significant differences were analyzed by Student t-test. * p < 0.05; ** p < 0.01; *** p < 0.001. P087 and P163 are the two accessions used for heavy-metal treatment.
Figure 8. Expression patterns of BnaHKTs under As3+ or Cd2+ treatment. Data obtained by RT-qPCR were normalized to the expression level of BnaActin7, and error bars represent the standard deviation (SD) of three biological replicates Statistically significant differences were analyzed by Student t-test. * p < 0.05; ** p < 0.01; *** p < 0.001. P087 and P163 are the two accessions used for heavy-metal treatment.
Plants 12 03768 g008
Plants 12 03768 g009
Figure 9. Predicted cis-elements in BnaHKT promoters. The analysis was based on the 2000-bp regions 5′ to BnaHKT transcription start sites. The cis-acting elements identified are marked with differently colored boxes, and the functional categories are noted at the right.
Figure 9. Predicted cis-elements in BnaHKT promoters. The analysis was based on the 2000-bp regions 5′ to BnaHKT transcription start sites. The cis-acting elements identified are marked with differently colored boxes, and the functional categories are noted at the right.
Plants 12 03768 g009
Table 1. Characteristics of HKTs from Arabidopsis and the Brassica U-triangle species.
Table 1. Characteristics of HKTs from Arabidopsis and the Brassica U-triangle species.
Protein NameGene IDLength (aa)MW (kDa)pIPredicted Subcellular Location
AtHKT1;1AT4G1031050657.458.86Cell membrane
BraHKT1;1BraA02g030010.3.5C.150758.028.84Cell membrane
BraHKT1;2BraA03g027520.3.5C.156463.279.61Cell membrane
BraHKT1;3aBraA09g029230.3.5C.135039.609.19Cell membrane
BraHKT1;3bBraA09g029230.3.5C.249656.129.42Cell membrane
BraHKT1;4BraA09g029260.3.5C.135941.099.44Cell membrane
BniHKT1;1BniB05g058650.2N50657.608.97Cell membrane
BniHKT1;2BniB08g035830.2N52959.799.63Cell membrane
BniHKT1;3BniB08g052410.2N49656.229.34Cell membrane
BniHKT1;4BniB08g052460.2N35640.629.55Cell membrane
BolHKT1;1Bol02085150757.949.01Cell membrane
BolHKT1;2Bol02566950657.409.66Cell membrane
BolHKT1;3Bol00771844750.629.06Cell membrane
BjuHKT1;1aBjuVB05G4765050657.608.97Cell membrane
BjuHKT1;1bBjuVA02G3163050758.058.93Cell membrane
BjuHKT1;2aBjuVB08G2936050657.529.72Cell membrane
BjuHKT1;2bBjuVA03G2837058565.839.76Cell membrane
BjuHKT1;3aBjuVB08G4197035039.709.02Cell membrane
BjuHKT1;3bBjuVA09G2832049656.269.48Cell membrane
BjuHKT1;4aBjuVB08G4199050057.119.62Cell membrane
BjuHKT1;4bBjuVA09G2833050357.579.45Cell membrane
BnaHKT1;1aBnaA02T0271600ZS50758.028.84Cell membrane
BnaHKT1;1bBnaC02T0368700ZS50757.979.01Cell membrane
BnaHKT1;2aBnaC03T0301900ZS50357.149.62Cell membrane
BnaHKT1;2bBnaA03T0254300ZS58565.849.76Cell membrane
BnaHKT1;3aBnaA09T0257800ZS49656.289.52Cell membrane
BnaHKT1;3bBnaC09T0303500ZS50957.589.5Cell membrane
BnaHKT1;4aBnaC09T0303900ZS52259.899.63Cell membrane
BnaHKT1;4bBnaA09T0258000ZS43049.119.1Cell membrane
BcaHKT1;1aBcaB05g2391050657.639.04Cell membrane
BcaHKT1;1bBcaC03g1640650757.979.01Cell membrane
BcaHKT1;2aBcaB01g0275552358.749.37Chloroplast
BcaHKT1;2bBcaC01g0468150657.409.66Cell membrane
BcaHKT1;3aBcaB01g0146649656.229.34Cell membrane
BcaHKT1;3bBcaC04g2102849656.169.52Cell membrane
BcaHKT1;4aBcaB01g0146550057.079.6Cell membrane
BcaHKT1;4bBcaC04g2102550357.539.45Cell membrane
At, A. thaliana; Bra, B. rapa; Bni, B. nigra; Bol, B. oleracea; Bju, B. juncea; Bna, B. napus; Bca, B. carinata, aa, amino acid residues; pI, isoelectric point.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yang, X.; Hu, R.; Sun, F.; Shen, S.; Zhang, M.; Liu, Y.; Zhang, Y.; Du, H.; Lu, K.; Qu, C.; et al. Identification of the High-Affinity Potassium Transporter Gene Family (HKT) in Brassica U-Triangle Species and Its Potential Roles in Abiotic Stress in Brassica napus L. Plants 2023, 12, 3768. https://doi.org/10.3390/plants12213768

AMA Style

Yang X, Hu R, Sun F, Shen S, Zhang M, Liu Y, Zhang Y, Du H, Lu K, Qu C, et al. Identification of the High-Affinity Potassium Transporter Gene Family (HKT) in Brassica U-Triangle Species and Its Potential Roles in Abiotic Stress in Brassica napus L. Plants. 2023; 12(21):3768. https://doi.org/10.3390/plants12213768

Chicago/Turabian Style

Yang, Xiaoran, Ran Hu, Fujun Sun, Shulin Shen, Mengzhen Zhang, Yiwei Liu, Yi Zhang, Hai Du, Kun Lu, Cunmin Qu, and et al. 2023. "Identification of the High-Affinity Potassium Transporter Gene Family (HKT) in Brassica U-Triangle Species and Its Potential Roles in Abiotic Stress in Brassica napus L." Plants 12, no. 21: 3768. https://doi.org/10.3390/plants12213768

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop