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Article

Haplotype Analysis of GmSGF14 Gene Family Reveals Its Roles in Photoperiodic Flowering and Regional Adaptation of Soybean

by
Liwei Jiang
1,2,†,
Peiguo Wang
2,3,†,
Hongchang Jia
2,3,4,
Tingting Wu
2,
Shan Yuan
2,
Bingjun Jiang
2,
Shi Sun
2,
Yuxian Zhang
1,
Liwei Wang
2,* and
Tianfu Han
1,2,*
1
College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing 163316, China
2
MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, The Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
3
Department of Crop Genetics and Breeding, College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
4
Heihe Branch, Heilongjiang Academy of Agricultural Sciences, Heihe 164399, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2023, 24(11), 9436; https://doi.org/10.3390/ijms24119436
Submission received: 20 April 2023 / Revised: 23 May 2023 / Accepted: 24 May 2023 / Published: 29 May 2023
(This article belongs to the Special Issue Plant Phylogenomics and Genetic Diversity)
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Abstract

:
Flowering time and photoperiod sensitivity are fundamental traits that determine soybean adaptation to a given region or a wide range of geographic environments. The General Regulatory Factors (GRFs), also known as 14-3-3 family, are involved in protein–protein interactions in a phosphorylation-dependent manner, thus regulating ubiquitous biological processes, such as photoperiodic flowering, plant immunity and stress response. In this study, 20 soybean GmSGF14 genes were identified and divided into two categories according to phylogenetic relationships and structural characteristics. Real-time quantitative PCR analysis revealed that GmSGF14g, GmSGF14i, GmSGF14j, GmSGF14k, GmSGF14m and GmSGF14s were highly expressed in all tissues compared to other GmSGF14 genes. In addition, we found that the transcript levels of GmSGF14 family genes in leaves varied significantly under different photoperiodic conditions, indicating that their expression responds to photoperiod. To explore the role of GmSGF14 in the regulation of soybean flowering, the geographical distribution of major haplotypes and their association with flowering time in six environments among 207 soybean germplasms were studied. Haplotype analysis confirmed that the GmSGF14mH4 harboring a frameshift mutation in the 14-3-3 domain was associated with later flowering. Geographical distribution analysis demonstrated that the haplotypes related to early flowering were frequently found in high-latitude regions, while the haplotypes associated with late flowering were mostly distributed in low-latitude regions of China. Taken together, our results reveal that the GmSGF14 family genes play essential roles in photoperiodic flowering and geographical adaptation of soybean, providing theoretical support for further exploring the function of specific genes in this family and varietal improvement for wide adaptability.

1. Introduction

Soybean (Glycine max) originated from the temperate region of China and is a typical short-day (SD) plant that accelerates the transition from vegetative to reproductive growth under SD conditions [1,2,3]. Photoperiodic flowering is a critical factor in determining the regional adaptability and productivity of soybean [4,5]. The major genes, including E1 [6], E2 [7], E3 [8], E4 [9], GmFTs [10,11,12,13,14,15,16,17,18], J [19,20,21], LUX [20], GmLHYs [22,23], GmPRR3a [24] and GmPRR37/GmPRR3b [24,25], were well characterized as participating in the photoperiod control of flowering. As an ancient paleopolyploid species, soybean experienced genome duplications, resulting in nearly 75% of the genes being present in multiple copies [26]. For example, 10 GmFTs were found in soybean [10], including the flowering-promoting FT homologues GmFT2a [10,11,12,13], GmFT5a [10,11,12,13,14], GmFT2b [17] and the flowering-inhibiting FT homologues GmFT1a [11,15] and GmFT4 [16]. Molecular characterization of photoperiodic flowering in soybean is complicated due to the functional redundancy and divergence of gene families. Therefore, investigating the gene family comprehensively and systematically will provide a foundation for further research on the regulatory mechanisms of soybean flowering.
14-3-3 proteins were originally discovered in cow brain by Moore and Perez [27], and are highly conserved eukaryotic proteins [28]. In Arabidopsis, there are 13 members in the 14-3-3 gene family [29], which are designated as either G-box Factors (GFs) or General Regulatory Factors (GRFs) [30]. The 14-3-3 proteins can form homodimer or heterodimers on N-terminal regions, which allow the dimer to combine two target proteins simultaneously. They function as regulators in signal transduction through binding to phosphoserine-containing proteins [31,32,33,34,35]. The 14-3-3 proteins are involved in various physiological processes, including primary metabolism [36,37,38], hormone regulation [39,40,41], and response to biotic/abiotic stress [42,43].
Increasing evidence indicates that GF14 genes also play crucial roles in flowering regulation of plants. For instance, in tomato, 14-3-3/74 interacts with SP (SELF-PRUNING), which is an ortholog of TFL1 (TERMINAL FLOWER1), and maintains the indeterminate state of inflorescence in Arabidopsis [44,45,46]. Overexpression of 14-3-3 genes in tomato was previously shown to partially complement the phenotype of sp mutation [45]. In rice, 14-3-3 proteins mediate the interaction between FT (FLOWERING LOCUS T) and FD to form the florigen-activated complex (FAC), which regulates flowering and induces inflorescence development [47,48,49]. GF14c also acts as a negative regulator of flowering through interacting with Hd3a [50]. Similarly, most GF14 proteins in Arabidopsis can interact with FT and TFL [51]. In cotton, GhGRF3/6/9/14/15 can interact with GhFT and GhFD to form a FAC; transgenic plants overexpressing GhGRF3/6/9/15 display late flowering in Arabidopsis, while GhGRF14-overexpressing plants show early flowering [52]. In soybean, 14-3-3 proteins are involved in nodulation [53] and isoflavone synthesis [54]; however, there is very limited knowledge of their roles in flowering regulation.
The objective of this study was to investigate the molecular and evolutionary characteristics of the soybean GmSGF14 gene family, as well as its role in flowering regulation under different photoperiods. We identified 20 soybean GmSGF14 genes and analyzed their expression patterns under different photoperiodic conditions. Natural variations in GmSGF14 alleles were detected across 207 re-sequenced soybean varieties. Furthermore, we examined the geographical distribution of major haplotypes and their association with flowering time in six different environments. Our findings provided insights into GmSGF14 gene family roles in flowering regulation of soybean.

2. Results

2.1. Identification and Analysis of the Physicochemical Properties of the GmSGF14 Gene Family in Soybean

To identify the GmSGF14 genes in soybean, we performed a BLAST search using the 14-3-3 protein of Arabidopsis as queries via TBtools. Finally, 20 genes were identified and annotated as being GmSGF14 genes based on the complete 14-3-3 domain, before being named as GmSGF14a–GmSGF14t (Supplementary Table S1). The chromosomal localization analysis of GmSGF14 genes showed that they were unevenly distributed in 13 of the 20 soybean chromosomes (Figure 1A). Further collinearity analysis revealed numerous fragment repetitions among the GmSGF14 gene family, indicating functional similarity among GmSGF14 genes (Figure 1A).
Gene characteristics, including the length of the protein sequence, the protein molecular weight (MW), the isoelectric point (pI), the instability index and the aliphatic index, were analyzed (Supplementary Table S1). The results showed the GmSGF14 genes encoded proteins with amino acid numbers ranging from 71 aa (GmSGF14t) to 315 aa (GmSGF14k), while MW ranged from 7.92 kDa to 35.2 kDa. The pI of the proteins ranged from 4.67 (GmSGF14g, GmSGF14h) to 5.70 (GmSGF14t), and the instability coefficient varied from 32.3 (GmSGF14t) to 53.8 (GmSGF14r). All of the GmSGF14 proteins were hydrophilic proteins (GRAVY < 0).

2.2. Phylogenetic Analysis of the GmSGF14 Gene Family in Soybean

To further explore the evolutionary relationship and classification of the GmSGF14 gene family, a phylogenetic tree was constructed based on the multiple sequence alignment of 14-3-3 protein sequences of Arabidopsis, rice and soybean. The phylogenetic analysis indicated that all the 14-3-3 members were classified into two subfamilies: ε class and non-ε class (Figure 1B). Among the 20 GmSGF14 proteins, 11 belong to the ε class group (GmSGF14c, d, e, f, l, n, o, p, q, r and t), and 9 belong to non-ε class group (GmSGF14a, b, g, h, i, j, k, m, and s). Furthermore, we found that genes on the same chromosome, such as GmSGF14g and GmSGF14f, and GmSGF14l and GmSGF14m, were not divided into the same group (Figure 1). These results indicate that GmSGF14 genes experienced evolutionary divergence and functional diversity.

2.3. Gene Structure, Motif Composition and Promoter Characterization of the GmSGF14 Gene Family

The exon–intron structure of all the identified GmSGF14 genes was examined to gain more insight into the evolution of the 14-3-3 family in soybean. GmSGF14 genes in the non-ε group had a maximum of four introns, while the number of exons ranged from two (GmSGF14s) to five (GmSGF14k). In the ε group, GmSGF14 genes contained four to six introns and six exons, except for GmSGF14t, which had only one intron and two exons (Figure 2B). The results indicated that different GmSGF14 genes diverged structurally during evolution. Subsequently, 10 conserved motifs of GmSGF14 were identified through Multiple Em for Motif Elicitation (MEME). As shown in Figure 2C, Motif 6 was distributed in all GmSGF14 genes, and seven Motifs (Motif 1-7) constituting the 14-3-3 domain were highly conserved. GmSGF14 members within the same groups were usually found to share a similar motif composition. In addition, motifs 8 and 10 are unique to the non-ε group, and motif 9 is specific to the ε group.
In order to explore the potential expression regulation patterns of the GmSGF14 genes, cis-elements were predicted in the 2 kb sequence upstream of these genes (Supplementary Figure S1). A total of 37 cis-acting elements involved in plant growth and development were identified, including elements involved in light response, endosperm expression, cell cycle regulation, meristem expression, circadian rhythm regulation, phytohormone response and stress response (Supplementary Table S2). The number of light-response cis-acting elements made up a significant percentage in the promoter regions of 20 GmSGF14 genes. Therefore, we speculated that GmSGF14 may play an important role in growth and development, especially in photoperiodic flowering.

2.4. Expression Patterns of GmSGF14 and Its Response to Different Photoperiods

We examined the expression levels of GmSGF14 genes in different tissues (root, hypocotyl, stem, unifoliolate leaf, trifoliolate leaf, and shoot apex) of Zhonghuang 13 (ZH13), which is a soybean variety widely grown in China, under different photoperiod treatments (Figure 3). Seven genes (GmSGF14h, GmSGF14n, GmSGF14o, GmSGF14p, GmSGF14q, GmSGF14r and GmSGF14t) were hardly expressed in all treatments. In contrast, GmSGF14g, GmSGF14i, GmSGF14j, GmSGF14k, GmSGF14m and GmSGF14s were highly expressed in all tissues. The leaf is the major organ that responds to photoperiod to induce flowering. Thus, we compared the expression of GmSGF14 genes in leaf under LD and SD conditions. We found that under SD conditions, compared with LD conditions, the expression levels of GmSGF14h, GmSGF14m, GmSGF14n, GmSGF14o, GmSGF14p and GmSGF14q were higher in unifoliolate leaves and trifoliolate leaves, while GmSGF14a, GmSGF14b and GmSGF14j showed higher expression only in trifoliolate leaves. Under LD conditions, GmSGF14g and GmSGF14i were highly expressed in the unifoliolate leaves, and the expression of GmSGF14s was higher in unifoliolate and trifoliolate leaves compared to SD conditions. GmSGF14c, GmSGF14d, GmSGF14e, GmSGF14f, GmSGF14k, GmSGF14l, GmSGF14r and GmSGF14t were more highly expressed in the unifoliolate leaves and less expressed in the trifoliolate leaves under LD conditions compared to SD conditions. These results showed that GmSGF14 genes have different expression patterns and responses to photoperiod, which indicated that GmSGF14 genes might be involved in soybean photoperiodic flowering.

2.5. Haplotype Analysis of 20 Soybean GmSGF14 Family Genes in Soybean Germplasm with Diverse Geographical Origins

To evaluate the effect of mutations in GmSGF14 genes on soybean adaptation, we examined the genotypes of 207 re-sequenced soybean varieties. Further geographical distributions regarding major haplotypes and their association with flowering time in six environments were conducted (Figure 4 and Figure 5). In general, haplotypes of the GmSGF14 genes exhibited more diversity in the varieties from China than those from the US, suggesting that the country of origin for cultivated soybean is China (Figure 5).
For GmSGF14a, 15 SNPs and 2 Indels were detected (Supplementary Figure S2A), and 6 haplotypes were identified. GmSGF14aH2, GmSGF14aH3 and GmSGF14aH4 showed no significant difference in flowering time and were distributed in all regions, while GmSGF14aH5 exhibited significantly later flowering and was only distributed in the south of China (SC) (Figure 4A and Figure 5A). The results indicated that GmSGF14aH5 could better adapt to short-day environments and might facilitate soybean genetic improvement in low-latitude regions such as Southern China (SC).
Four SNPs were located in the 5’UTR and intron regions, and three haplotypes were discovered for GmSGF14b (Supplementary Figure S2B). GmSGF14bH3 was distributed in Huang–Huai–Hai Rivers Valley Region (HHH) and Northeastern China (NE), while GmSGF14bH2 covered a large proportion of the haplotypes found across China and the US. GmSGF14bH3 exhibited significantly later flowering in Heihe; however, it showed no significance in the five other environments (Figure 4B and Figure 5B).
Based on 14 SNPs and 4 Indels, GmSGF14c was divided into 6 haplotypes (Supplementary Figure S2C). GmSGF14cH1 showed earlier flowering, and the frequency of GmSGF14cH1 decreased with decreasing latitude in China (Figure 4C and Figure 5C). With the increase in latitude in China, the proportion of GmSGF14cH3 increased (Figure 5C).
For GmSGF14e, we identified 10 SNPs and 1 Indel, and defined 3 haplotypes (Supplementary Figure S2D). GmSGF14eH1 flowered significantly earlier than GmSGF14eH2 and GmSGF14eH3 in all six environments, except for Heihe (Figure 4D). With increasing latitude in China, the proportion of GmSGF14eH1 increased, whereas the proportion of GmSGF14eH2 and GmSGF14eH3 decreased (Figure 5D).
Five haplotypes were identified based on seven SNPs and five Indels of GmSGF14f (Supplementary Figure S2E). It was found that GmSGF14fH1 was mostly distributed in NE and the US, with significantly earlier flowering compared with GmSGF14fH2, GmSGF14fH3 and GmSGF14fH4 (Figure 4E and Figure 5E). GmSGF14fH5 showed significantly later flowering among plants distributed in HHH and SC than those found in the NE and the US (Figure 4E and Figure 5E). Further analysis of these two unique haplotypes (GmSGF14fH1 and GmSGF14fH5) may contribute to the genetic improvement of soybean in SC and NE.
Three SNPs and three haplotypes were identified for GmSGF14h (Supplementary Figure S2F). GmSGF14hH2 was the haplotype most widely distributed across China and the US (Figure 5F), and there was no significant difference in flowering times among the three haplotypes (Figure 4F).
We found one SNP and two Indels in GmSGF14i, and identified three haplotypes (Supplementary Figure S2G). Among the three haplotypes, GmSGF14iH1 associated with significantly earlier flowering was mainly distributed in NE and the US. GmSGF14iH2 was the most abundant (Figure 5G), while GmSGF14iH3 flowered later and tended to distribute in HHH and SC (Figure 4G and Figure 5G).
We found 47 SNPs and two haplotypes in GmSGF14k (Supplementary Figure S2H). In six environments, GmSGF14kH2 only showed significantly earlier flowering in Xinxiang compared to GmSGF14kH1 (Figure 4H) and was the most widely distributed haplotype across China and the US (Figure 5H).
For GmSGF14m, a total of 4 haplotypes were identified based on 10 SNPs and 6 Indels (Supplementary Figure S2I). GmSGF14mH4 carried a frameshift mutation that resulted in partial deletion of 14-3-3 domain in the encoded protein (Supplementary Figure S2I). Compared to GmSGF14mH1, GmSGF14mH4 showed significantly later flowering and the percentage of GmSGF14mH1 increased with the increase in latitude in China, while GmSGF14mH4 was had the opposite characteristics (Figure 4I and Figure 5I). These results suggest that the frameshift mutation carried out in GmSGF14mH4 leading to the loss of 14-3-3 domain may result in late flowering.
Based on six SNPs, two haplotypes were identified for GmSGF14n (Supplementary Figure S2J). GmSGF14nH1, which was primarily distributed at high latitudes, flowered significantly earlier than GmSGF14nH2 (Figure 4J and Figure 5J). The percentage of GmSGF14nH2 increased with the decrease in latitude in China (Figure 5J).
One SNP and one Indel were found in GmSGF14o, and three haplotypes were identified (Supplementary Figure S2K). Through comparing the flowering time of the three haplotypes in the six environments in China, we found that GmSGF14oH3 flowered significantly later (except Sanya and Xiangtan), and the phenotypic difference tended to become more pronounced with increasing latitude (Figure 4K). The frequencies of GmSGF14oH3 varied across regions, and no variety found in the US harbored this haplotype (Figure 5K).
For GmSGF14p, three haplotypes were defined according to seven SNPs, and SNP-Chr13:37266730 and SNP-Chr13:37269199 were missense mutations ((Asp/Glu) and (Lys/Ile)) (Supplementary Figure S2L). Compared to GmSGF14pH1 and GmSGF14pH2, GmSGF14pH3 showed significantly later flowering and was mostly distributed in HHH and SC (Figure 4L and Figure 5L).
Based on 12 SNPs and 4 Indels, GmSGF14q was divided into 3 haplotypes (Supplementary Figure S2M). The percentage of GmSGF14qH1 was high in NE, and GmSGF14qH2 and GmSGF14qH3 showed later flowering and were mainly found in HHH and SC (Figure 4M and Figure 5M).
For GmSGF14r, 25 SNPs and 3 Indels were discovered, and SNP-Chr20:2850044 was located at the 14-3-3 domain, resulting in an amino acid substitution (Glu/Asp) (Supplementary Figure S2O). Eight haplotypes were identified and were related to different genetic effects on flowering under different environments (Figure 4N). GmSGF14rH4 was the haplotype most widely distributed across China and the US (Figure 5N). The rich genetic diversity of GmSGF14r may contribute to the varied phenotypic effects on soybean flowering across different photoperiods.
Among the five SNPs in GmSGF14s, SNP-Chr17:34108428, SNP-Chr17:34108738 and SNP-Chr17:34108786 were missense mutations that resulted in amino acid substitutions (Supplementary Figure S2N). We identified two haplotypes, of which GmSGF14sH2 was mainly distributed in HHH and only showed significantly later flowering in Heihe when compared to the other five environments. (Figure 4O and Figure 5O).

3. Discussion

In plants, previous studies showed that 14-3-3 proteins are involved in various biological processes, including photoperiodic flowering [44,45,55], plant immunity [55,56] and stress responses [57,58]. However, comprehensive analysis of the 14-3-3 family and their functions in soybean flowering is limited. In this study, a total of 20 GmSGF14 genes were identified and classified into ε and non-ε classes via phylogenetic analysis (Figure 1B), which was consistent with model plants, such as Arabidopsis [59,60,61] and rice [62]. This discovery demonstrated that 14-3-3 genes experienced expansion in soybean, compared to 15 genes in Arabidopsis and 8 genes in rice. Chromosomal distribution and synteny analysis confirmed that gene and segmental duplication events played important roles in the expansion of GmSGF14 gene family (Figure 1A), supporting the complex history of whole genome duplications in soybean [26,63,64]. Conserved protein motifs analysis further demonstrated that ε and non-ε groups possess different motif structures (Figure 2), indicating diverse functions in accordance with 14-3-3 proteins in Arabidopsis and rice. Expression profiles revealed that soybean GmSGF14 genes in all examined organs showed differential expression, and their expression in leaf and shoot apex varied significantly under different light conditions, suggesting their involvement in photoperiodic regulation of soybean flowering (Figure 3).
Previous studies confirmed the crucial role of 14-3-3 family genes in flowering regulation [44,45,46,47,48,49,50,51,52]. The activation of floral initiation in the shoot apical meristem (SAM) is triggered through the florigen activation complex (FAC). In rice, 14-3-3 proteins can form a FAC with florigen protein Hd3a and bZIP transcription factor OsFD1. The complex further upregulates the transcription of rice APETALA1(AP1) homologue OsMADS15, inducing flowering [47]. Moreover, the FAC can also be synthesized in rice leaves, where RCN (RICE CENTRORADIALIS), which is a homologue of Arabidopsis TFL1, forms a florigen repression complex (FRC) through competition with Hd3a for 14-3-3 and OsFD1 binding [65]. The balance between FAC and FRC fine-tunes the florigen activity to ensure flowering at appropriate times [48]. In Arabidopsis [51], potato [45] and cotton [52], 14-3-3 was reported to interact with FT or FD to form complexes. In soybean, 10 GmFT homologs were identified [10]. GmFT2a/2b/3a/5a promote flowering [10,11,12,13,14,17], while GmFT1a/4 repress flowering [15,16]. Both GmFT2a and GmFT5a interact with GmFDL19, upregulating downstream flowering-related genes, which indicates that the FAC is conserved in soybean [12]. Currently, the understanding of 14-3-3 in soybean flowering is limited; thus, the 20 GmSGF14 proteins identified in our study will facilitate the characterization of the FACs in soybean flowering regulation.
The cultivated soybean originated in the temperate region of China and was planted worldwide as an important economic crop due to its high protein and oil content [66]. This wide distribution can be attributed to the rich natural variations in and combinations of genes controlling flowering times [67,68]. Natural variation in GmELF3 confers long juvenility and improves soybean adaptation in the tropics [19]. In contrast, natural variations in GmPRR37 (GmPRR3b) affect photoperiodic flowering and contribute to soybean adaptation in high-latitude regions [24,25]. To evaluate the effects of variations in GmSGF14 on soybean flowering and adaptation, we investigated the genotypes of 207 varieties collected across China and the US, and analyzed the flowering-time phenotypes and geographical distributions of the major haplotypes. We found that GmSGF14mH4 carries a single-base deletion that results in a frameshift mutation and premature termination of the encoded protein (Supplementary Figure S2I). This null mutant was significantly associated with late flowering, and its frequency increased with decreasing latitude in China (Figure 4I and Figure 5I). These results indicate that GmSGF14m might function as a flowering promoter, while the frameshift mutation may lead to late flowering. Additionally, we found that GmSGF14cH1, GmSGF14eH1, GmSGF14fH1, GmSGF14iH1, GmSGF14mH1, GmSGF14nH1, GmSGF14pH1, GmSGF14pH2, GmSGF14qH1 and GmSGF14rH2 were associated with early flowering and primarily distributed in higher latitudes of China. On the other hand, GmSGF14aH5, GmSGF14eH2, GmSGF14eH3, GmSGF14fH5, GmSGF14iH3, GmSGF14mH4, GmSGF14nH2, GmSGF14oH3, GmSGF14pH3, GmSGF14qH3 and GmSGF14rH5 were related to late flowering and primarily distributed in lower latitude regions. We speculate that the diverse genetic variation in GmSGF14 contributed to soybean cultivation across different latitudes. Developing Kompetitive Allele Specific PCR (KASP) markers and gene chips for these variations can provide information about the molecular breeding of soybean flowering times. Further functional characterization of GmSGF14 family genes in soybean could provide opportunities to utilize genome-editing tools to modify the functional status of GmSGF14 family members, thus facilitating precise prediction of flowering times in soybean genetic improvement.

4. Materials and Methods

4.1. Plant Materials, Treatments and Multiple-Site Experiments

For the expression pattern analysis of GmSGF14 family genes, a widely grown soybean variety Zhonghuang 13 (ZH13) was grown in a controlled culture room at 26 °C under short-day (SD, 12 h: 12 h, light: dark) and long-day (LD, 16 h: 8 h, light: dark) conditions. After entraining for 14 days, root, hypocotyl, stem, unifoliolate leaf, trifoliolate leaf and shoot apex were sampled. Samples were collected after 4 h exposure to light.
A total of 207 re-sequenced soybean germplasms were used for haplotype analysis [69], including 97 from Northeast China (NE), 46 from Huang–Huai–Hai Rivers Valley Region (HHH), 37 from South China (SC), and 27 from the USA (Supplementary Table S3). The panel was planted in six regions: Sanya (18°18′ N, 112°39′ E), Xinxiang (35°08′ N, 113°45′ E) and Beijing (40°13′ N, 116°33′ E) in 2016, and Xiangtan (27°40′ N, 112°39′ E), Changchun (43°50′ N, 124°82′ E) and Heihe (50°15′ N, 127°27′ E) in 2017; the regions were named SY2016, BJ2016, XX2016, XT2017, CC2017 and HH2017, respectively [17]. Flowering times for 207 soybean varieties in six environments were recorded as days from the emergence to the R1 stage (the time at which the first flower opens at any node on the main stem) [70] and determined through taking the average of two replicates.

4.2. Identification, Bioinformatic and Phylogenetic Analysis of GmSGF14

The 14-3-3 protein sequences of Arabidopsis thaliana and rice were downloaded from TAIR (https://www.arabidopsis.org/) (accessed on 12 September 2022) and the Phytozome database (https://phytozome-next.jgi.doe.gov/) (accessed on 12 September 2022) and were used as queries for searching for soybean homologous genes. Soybean genome annotation was downloaded from the Phytozome 13.0 database (https://phytozome-next.jgi.doe.gov/) (accessed on 12 September 2022). TBtools was used to search GmSGF14 members from soybean genome database with an E-value threshold of <1 × e−10 [71]. All candidate genes were further confirmed to contain the 14-3-3 domain (PF00244) using Pfam (http://pfam.xfam.org/) (accessed on 14 September 2022) and the SMART program (http://smart.embl-heidelberg.de/) (accessed on 14 September 2022).
Duplications of GmSGF14 family genes were analyzed via the Multiple Collinearity Scan toolkit (MCScanX) with the default parameters, and a visual synchronous analysis diagram was constructed using TBtools [71]. The amino acid numbers, molecular weight (MW), isoelectric point (pI), instability coefficient, fat coefficient and hydrophilicity of identified GmSGF14 proteins were analyzed via ExPASy ProtParam (https://web.expasy.org/protparam/) (accessed on 28 September 2022).
MEGA 7.0 software was used to perform multiple sequence alignment on the reported 14-3-3 protein sequences of Arabidopsis thaliana, rice and soybean, as well as to construct the phylogenetic tree with the Neighbor-Joining (NJ) method. The bootstrap value was set to 1000. Bootstrap resampling (100) was used to assess the reliability of interior branches, and other parameters were default values.

4.3. Sequence Analysis of Soybean GmSGF14 Family Genes

The exon–intron pattern of GmSGF14 gene family was analyzed using TBtools v1.0+ software through inputting gene annotation GFF files. The online program MEME (https://meme-suite.org/meme/tools/meme) (accessed on 9 October 2022) was used to identify the conserved motif of GmSGF14 proteins, and the maximum number of motifs was set to 10. To identify the cis-elements, TBtools was used to extract a 2 kb genomic sequence upstream from the start codon (ATG) of the GmSGF14 family genes gathered from the soybean genome database, and PlantCARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) (accessed on 21 October 2022) was used to predict the cis-acting elements of the promoter. Finally, TBtools v1.0+ software was used for visual mapping [71].

4.4. Expression Profile Analysis of Soybean GmSGF14 Gene Family

The total RNA of different tissues of ZH13 was extracted using Easy Fast Plant Tissue Kit (TianGen, Beijing, China), and RNA was reverse transcribed into cDNA with the FastKing RT Kit (With gDNase) (TianGen, Beijing, China). Primers for qRT-PCR were designed using the NCBI (https://www.ncbi.nlm.nih.gov/tools/primer-blast/) (accessed on 14 December 2022) (Supplementary Table S4). Using ABI QuantStudioTM 7 flex (Applied Biosystems, San Francisco, CA, USA), qRT-PCR was performed with Taq Pro Universal SYBR qPCR Master Mix (Vazyme, Nanjing, China), and each sample contained three biological replicates. GmActin (Glyma18g52780) was used as the internal reference, and the relative expression was calculated via the 2−∆∆Ct method.

4.5. Haplotype and Correlation Analysis of Soybean GmSGF14 Gene Family

The natural variation in GmSGF14 genes was retrieved from the NCBI database under Short Read Archive (SRA) Accession Number SRP062560 and PRJNA589345 [17,69], and the haplotype and data processing analyses were performed using TASSEL 5 and EXCEL. We used GraphPad Prism 8 to analyze the association between GmSGF14 haplotypes and flowering time via Duncan’s multiple range test with p < 0.05 as the significant level.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24119436/s1.

Author Contributions

Conceptualization, T.H., L.W. and P.W.; methodology, L.W. and P.W.; software, L.J. and P.W.; validation, L.J., P.W. and L.W.; investigation, L.J., P.W. and H.J.; resources, T.W., S.Y., B.J. and S.S.; writing—original draft preparation, L.J. and P.W.; writing—review and editing, T.H., L.W. and Y.Z.; visualization, L.J.; funding acquisition, T.H. and S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by grants from the National Key R&D Program of China (2021YFF1001203), China Agriculture Research System (CARS-04) and CAAS Agricultural Science and Technology Innovation Project.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The sequence data used in this study are available in the NCBI database under Short Read Archive (SRA) Accession Numbers SRP062560 and PRJNA589345.

Acknowledgments

We thank Lijuan Qiu and Zhangxiong Liu for supplying germplasms, and thank Jinlu Tao, Haiyan Zeng, Yanfeng Zhou and Xuegang Sun for their field management support.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Garner, W.W.; Allard, H.A. Effect of the relative length of day and night and other factors of the environment on growth and reproduction in plants. J. Agric. Res. 1920, 48, 415. [Google Scholar] [CrossRef]
  2. Borthwick, H.A.; Parker, M.W. Photoperiodic Responses of Several Varieties of Soybeans. Bot. Gaz. 1939, 101, 341–365. [Google Scholar] [CrossRef]
  3. Heinze, P.H.; Parker, M.W.; Borthwick, H.A. Floral Initiation in Biloxi Soybean as Influenced by Grafting. Bot. Gaz. 1942, 103, 518–530. [Google Scholar] [CrossRef]
  4. Washburn, C.F.; Thomas, J.F. Reversion of flowering in Glycine Max (Fabaceae). Am. J. Bot. 2000, 87, 1425–1438. [Google Scholar] [CrossRef] [PubMed]
  5. Miladinovic, J.; Kurosaki, H.; Burton, J.W.; Hrustic, M.; Miladinovic, D. The adaptability of shortseason soybean genotypes to varying longitudinal regions. Eur. J. Agron. 2006, 25, 243–249. [Google Scholar] [CrossRef]
  6. Xia, Z.; Watanabe, S.; Yamada, T.; Tsubokura, Y.; Nakashima, H.; Zhai, H.; Anai, T.; Sato, S.; Yamazaki, T.; Lü, S.; et al. Positional cloning and characterization reveal the molecular basis for soybean maturity locus E1 that regulates photoperiodic flowering. Proc. Natl. Acad. Sci. USA 2012, 109, E2155–E2164. [Google Scholar] [CrossRef]
  7. Watanabe, S.; Xia, Z.; Hideshima, R.; Tsubokura, Y.; Sato, S.; Yamanaka, N.; Takahashi, R.; Anai, T.; Tabata, S.; Kitamura, K.; et al. A map-based cloning strategy employing a residual heterozygous line reveals that the GIGANTEA gene is involved in soybean maturity and flowering. Genetics 2011, 188, 395–407. [Google Scholar] [CrossRef]
  8. Watanabe, S.; Hideshima, R.; Xia, Z.; Tsubokura, Y.; Sato, S.; Nakamoto, Y.; Yamanaka, N.; Takahashi, R.; Ishimoto, M.; Anai, T.; et al. Map-based cloning of the gene associated with the soybean maturity locus E3. Genetics 2009, 182, 1251–1262. [Google Scholar] [CrossRef]
  9. Liu, B.; Kanazawa, A.; Matsumura, H.; Takahashi, R.; Harada, K.; Abe, J. Genetic redundancy in soybean photoresponses associated with duplication of the phytochrome A gene. Genetics 2008, 180, 995–1007. [Google Scholar] [CrossRef]
  10. Kong, F.; Liu, B.; Xia, Z.; Sato, S.; Kim, B.M.; Watanabe, S.; Yamada, T.; Tabata, S.; Kanazawa, A.; Harada, K.; et al. Two coordinately regulated homologs of FLOWERING LOCUS T are involved in the control of photoperiodic flowering in soybean. Plant Physiol. 2010, 154, 1220–1231. [Google Scholar] [CrossRef]
  11. Liu, W.; Jiang, B.; Ma, L.; Zhang, S.; Zhai, H.; Xu, X.; Hou, W.; Xia, Z.; Wu, C.; Sun, S.; et al. Functional diversification of Flowering Locus T homologs in soybean: GmFT1a and GmFT2a/5a have opposite roles in controlling flowering and maturation. New Phytol. 2018, 217, 1335–1345. [Google Scholar] [CrossRef] [PubMed]
  12. Nan, H.; Cao, D.; Zhang, D.; Li, Y.; Lu, S.; Tang, L.; Yuan, X.; Liu, B.; Kong, F. GmFT2a and GmFT5a redundantly and differentially regulate flowering through interaction with and upregulation of the bZIP transcription factor GmFDL19 in soybean. PLoS ONE 2014, 9, e97669. [Google Scholar] [CrossRef] [PubMed]
  13. Takeshima, R.; Nan, H.; Harigai, K.; Dong, L.; Zhu, J.; Lu, S.; Xu, M.; Yamagishi, N.; Yoshikawa, N.; Liu, B.; et al. Functional divergence between soybean FLOWERING LOCUS T orthologues FT2a and FT5a in post-flowering stem growth. J. Exp. Bot. 2019, 70, 3941–3953. [Google Scholar] [CrossRef] [PubMed]
  14. Takeshima, R.; Hayashi, T.; Zhu, J.; Zhao, C.; Xu, M.; Yamaguchi, N.; Sayama, T.; Ishimoto, M.; Kong, L.; Shi, X.; et al. A soybean quantitative trait locus that promotes flowering under long days is identified as FT5a, a FLOWERING LOCUS T ortholog. J. Exp. Bot. 2016, 67, 5247–5258. [Google Scholar] [CrossRef] [PubMed]
  15. Bonato, E.R.; Vello, N.A. E6, a dominant gene conditioning early flowering and maturity in soybeans. Genet. Mol. Biol. 1999, 22, 229–232. [Google Scholar] [CrossRef]
  16. Samanfar, B.; Molnar, S.J.; Charette, M.; Schoenrock, A.; Dehne, F.; Golshani, A.; Belzile, F.; Cober, E.R. Mapping and identification of a potential candidate gene for a novel maturity locus, E10, in soybean. Theor. Appl. Genet. 2017, 130, 377–390. [Google Scholar] [CrossRef]
  17. Chen, L.; Cai, Y.; Qu, M.; Wang, L.; Sun, H.; Jiang, B.; Wu, T.; Liu, L.; Sun, S.; Wu, C.; et al. Soybean adaption to high-latitude regions is associated with natural variations of GmFT2b, an ortholog of FLOWERING LOCUS T. Plant Cell Environ. 2020, 43, 934–944. [Google Scholar] [CrossRef]
  18. Thakare, D.; Kumudini, S.; Dinkins, R.D. The alleles at the E1 locus impact the expression pattern of two soybean FT-like genes shown to induce flowering in Arabidopsis. Planta 2011, 234, 933–943. [Google Scholar] [CrossRef]
  19. Yue, Y.; Liu, N.; Jiang, B.; Li, M.; Wang, H.; Jiang, Z.; Pan, H.; Xia, Q.; Ma, Q.; Han, T.; et al. A Single Nucleotide Deletion in J Encoding GmELF3 Confers Long Juvenility and Is Associated with adaption of tropic soybean. Mol. Plant 2017, 10, 656–658. [Google Scholar] [CrossRef]
  20. Bu, T.; Lu, S.; Wang, K.; Dong, L.; Li, S.; Xie, Q.; Xu, X.; Cheng, Q.; Chen, L.; Fang, C.; et al. A critical role of the soybean evening complex in the control of photoperiod sensitivity and adaptation. Proc. Natl. Acad. Sci. USA 2021, 118, e2010241118. [Google Scholar] [CrossRef]
  21. Ray, J.D.; Hinson, K.; Mankono, J.E.B.; Malo, M.F. Genetic control of a long-juvenile trait in soybean. Crop Sci. 1995, 35, 1001–1006. [Google Scholar] [CrossRef]
  22. Dong, L.; Fang, C.; Cheng, Q.; Su, T.; Kou, K.; Kong, L.; Zhang, C.; Li, H.; Hou, Z.; Zhang, Y.; et al. Genetic basis and adaptation trajectory of soybean from its temperate origin to tropics. Nat. Commun. 2021, 12, 5445. [Google Scholar] [CrossRef] [PubMed]
  23. Wang, Y.; Yuan, L.; Su, T.; Wang, Q.; Gao, Y.; Zhang, S.; Jia, Q.; Yu, G.; Fu, Y.; Cheng, Q.; et al. Light- and temperature-entrainable circadian clock in soybean development. Plant Cell Environ. 2020, 43, 637–648. [Google Scholar] [CrossRef] [PubMed]
  24. Lu, S.; Dong, L.; Fang, C.; Liu, S.; Kong, L.; Cheng, Q.; Chen, L.; Su, T.; Nan, H.; Zhang, D.; et al. Stepwise selection on homeologous PRR genes controlling flowering and maturity during soybean domestication. Nat. Genet. 2020, 52, 428–436. [Google Scholar] [CrossRef]
  25. Wang, L.; Sun, S.; Wu, T.; Liu, L.; Sun, X.; Cai, Y.; Li, J.; Jia, H.; Yuan, S.; Chen, L.; et al. Natural variation and CRISPR/Cas9-mediated mutation in GmPRR37 affect photoperiodic flowering and contribute to regional adaptation of soybean. Plant Biotechnol. J. 2020, 18, 1869–1881. [Google Scholar] [CrossRef]
  26. Schmutz, J.; Cannon, S.B.; Schlueter, J.; Ma, J.; Mitros, T.; Nelson, W.; Hyten, D.L.; Song, Q.; Thelen, J.J.; Cheng, J.; et al. Genome sequence of the palaeopolyploid soybean. Nature 2010, 463, 178–183. [Google Scholar] [CrossRef]
  27. Moore, B.W.; Perez, V.J. Specific acidic proteins of the nervous system. Physiol. Biochem. Asp. Neverous Integr. 1967, 343–359. [Google Scholar]
  28. Aitken, A.; Collinge, D.B.; van Heusden, B.P.; Isobe, T.; Roseboom, P.H.; Rosenfeld, G.; Soll, J. 14-3-3 proteins: A highly conserved, widespread family of eukaryotic proteins. Trends Biochem. Sci. 1992, 17, 498–501. [Google Scholar] [CrossRef]
  29. DeLille, J.M.; Sehnke, P.C.; Ferl, R.J. The Arabidopsis 14-3-3 family of signaling regulators. Plant Physiol. 2001, 126, 35–38. [Google Scholar] [CrossRef]
  30. Daugherty, C.J.; Rooney, M.F.; Miller, P.W.; Ferl, R.J. Molecular organization and tissue-specific expression of an Arabidopsis 14-3-3 gene. Plant Cell 1996, 8, 1239–1248. [Google Scholar] [CrossRef]
  31. Yaffe, M.B.; Rittinger, K.; Volinia, S.; Caron, P.R.; Aitken, A.; Leffers, H.; Gamblin, S.J.; Smerdon, S.J.; Cantley, L.C. The structural basis for 14-3-3: Phosphopeptide binding specificity. Cell 1997, 91, 961–971. [Google Scholar] [CrossRef] [PubMed]
  32. Kanczewska, J.; Marco, S.; Vandermeeren, C.; Maudoux, O.; Rigaud, J.L.; Boutry, M. Activation of the plant plasma membrane H+-ATPase by phosphorylation and binding of 14-3-3 proteins converts a dimer into a hexamer. Proc. Natl. Acad. Sci. USA 2005, 102, 11675–11680. [Google Scholar] [CrossRef] [PubMed]
  33. Chevalier, D.; Morris, E.R.; Walker, J.C. 14-3-3 and FHA domains mediate phosphoprotein interactions. Annu. Rev. Plant Biol. 2009, 60, 67–91. [Google Scholar] [CrossRef] [PubMed]
  34. Roberts, M.R. 14-3-3 proteins find new partners in plant cell signalling. Trends Plant Sci. 2003, 8, 218–223. [Google Scholar] [CrossRef] [PubMed]
  35. Adams, E.; Diaz, C.; Hong, J.P.; Shin, R. 14-3-3 proteins participate in light signaling through association with PHYTOCHROME INTERACTING FACTORs. Int. J. Mol. Sci. 2014, 15, 22801–22814. [Google Scholar] [CrossRef]
  36. Finnemann, J.; Schjoerring, J.K. Post-translational regulation of cytosolic glutamine synthetase by reversible phosphorylation and 14-3-3 protein interaction. Plant J. 2000, 24, 171–181. [Google Scholar] [CrossRef]
  37. Bachmann, M.; Huber, J.L.; Athwal, G.S.; Wu, K.; Ferl, R.J.; Huber, S.C. 14-3-3 proteins associate with the regulatory phosphorylation site of spinach leaf nitrate reductase in an isoform-specific manner and reduce dephosphorylation of Ser-543 by endogenous protein phosphatases. FEBS Lett. 1996, 398, 26–30. [Google Scholar] [CrossRef]
  38. Diaz, C.; Kusano, M.; Sulpice, R.; Araki, M.; Redestig, H.; Saito, K.; Stitt, M.; Shin, R. Determining novel functions of Arabidopsis 14-3-3 proteins in central metabolic processes. BMC Syst. Biol. 2011, 5, 192. [Google Scholar] [CrossRef]
  39. Takahashi, K.; Hayashi, K.; Kinoshita, T. Auxin activates the plasma membrane H+-ATPase by phosphorylation during hypocotyl elongation in Arabidopsis. Plant Physiol. 2012, 159, 632–641. [Google Scholar] [CrossRef]
  40. Igarashi, D.; Ishida, S.; Fukazawa, J.; Takahashi, Y. 14-3-3 proteins regulate intracellular localization of the bZIP transcriptional activator RSG. Plant Cell 2001, 13, 2483–2497. [Google Scholar] [CrossRef]
  41. Ito, T.; Nakata, M.; Fukazawa, J.; Ishida, S.; Takahashi, Y. Scaffold function of Ca2+-dependent protein kinase: Tobacco Ca2+-DEPENDENT PROTEIN KINASE1 transfers 14-3-3 to the substrate REPRESSION OF SHOOT GROWTH after phosphorylation. Plant Physiol. 2014, 165, 1737–1750. [Google Scholar] [CrossRef] [PubMed]
  42. He, Y.; Wu, J.; Lv, B.; Li, J.; Gao, Z.; Xu, W.; Baluška, F.; Shi, W.; Shaw, P.C.; Zhang, J. Involvement of 14-3-3 protein GRF9 in root growth and response under polyethylene glycol-induced water stress. J. Exp. Bot. 2015, 66, 2271–2281. [Google Scholar] [CrossRef] [PubMed]
  43. Catalá, R.; López-Cobollo, R.; Mar Castellano, M.; Angosto, T.; Alonso, J.M.; Ecker, J.R.; Salinas, J. The Arabidopsis 14-3-3 protein RARE COLD INDUCIBLE 1A links low-temperature response and ethylene biosynthesis to regulate freezing tolerance and cold acclimation. Plant Cell 2014, 26, 3326–3342. [Google Scholar] [CrossRef]
  44. Pnueli, L.; Carmel-Goren, L.; Hareven, D.; Gutfinger, T.; Alvarez, J.; Ganal, M.; Zamir, D.; Lifschitz, E. The SELF-PRUNING gene of tomato regulates vegetative to reproductive switching of sympodial meristems and is the ortholog of CEN and TFL1. Development 1998, 125, 1979–1989. [Google Scholar] [CrossRef] [PubMed]
  45. Pnueli, L.; Gutfinger, T.; Hareven, D.; Ben-Naim, O.; Ron, N.; Adir, N.; Lifschitz, E. Tomato SP-interacting proteins define a conserved signaling system that regulates shoot architecture and flowering. Plant Cell 2001, 13, 2687–2702. [Google Scholar] [CrossRef]
  46. Lifschitz, E.; Eviatar, T.; Rozman, A.; Shalit, A.; Goldshmidt, A.; Amsellem, Z.; Alvarez, J.P.; Eshed, Y. The tomato FT ortholog triggers systemic signals that regulate growth and flowering and substitute for diverse environmental stimuli. Proc. Natl. Acad. Sci. USA 2006, 103, 6398–6403. [Google Scholar] [CrossRef]
  47. Taoka, K.; Ohki, I.; Tsuji, H.; Furuita, K.; Hayashi, K.; Yanase, T.; Yamaguchi, M.; Nakashima, C.; Purwestri, Y.A.; Tamaki, S.; et al. 14-3-3 proteins act as intracellular receptors for rice Hd3a florigen. Nature 2011, 476, 332–335. [Google Scholar] [CrossRef]
  48. Kaneko-Suzuki, M.; Kurihara-Ishikawa, R.; Okushita-Terakawa, C.; Kojima, C.; Nagano-Fujiwara, M.; Ohki, I.; Tsuji, H.; Shimamoto, K.; Taoka, K.I. TFL1-Like proteins in rice antagonize rice FT-Like protein in inflorescence development by competition for complex formation with 14-3-3 and FD. Plant Cell Physiol. 2018, 59, 458–468. [Google Scholar] [CrossRef]
  49. Taoka, K.; Ohki, I.; Tsuji, H.; Kojima, C.; Shimamoto, K. Structure and function of florigen and the receptor complex. Trends Plant Sci. 2013, 18, 287–294. [Google Scholar] [CrossRef]
  50. Purwestri, Y.A.; Ogaki, Y.; Tamaki, S.; Tsuji, H.; Shimamoto, K. The 14-3-3 protein GF14c acts as a negative regulator of flowering in rice by interacting with the florigen Hd3a. Plant Cell Physiol. 2009, 50, 429–438. [Google Scholar] [CrossRef]
  51. Ho, W.W.; Weigel, D. Structural features determining flower-promoting activity of Arabidopsis FLOWERING LOCUS T. Plant Cell 2014, 26, 552–564. [Google Scholar] [CrossRef] [PubMed]
  52. Sang, N.; Liu, H.; Ma, B.; Huang, X.; Zhuo, L.; Sun, Y. Roles of the 14-3-3 gene family in cotton flowering. BMC Plant Biol. 2021, 21, 162. [Google Scholar] [CrossRef] [PubMed]
  53. Radwan, O.; Wu, X.; Govindarajulu, M.; Libault, M.; Neece, D.J.; Oh, M.H.; Berg, R.H.; Stacey, G.; Taylor, C.G.; Huber, S.C.; et al. 14-3-3 proteins SGF14c and SGF14l play critical roles during soybean nodulation. Plant Physiol. 2012, 160, 2125–2136. [Google Scholar] [CrossRef] [PubMed]
  54. Li, X.; Chen, L.; Dhaubhadel, S. 14-3-3 proteins regulate the intracellular localization of the transcriptional activator GmMYB176 and affect isoflavonoid synthesis in soybean. Plant J. 2012, 71, 239–250. [Google Scholar] [CrossRef] [PubMed]
  55. Mayfield, J.D.; Folta, K.M.; Paul, A.L.; Ferl, R.J. The 14-3-3 proteins mu and upsilon influence transition to flowering and early phytochrome response. Plant Physiol. 2007, 145, 1692–1702. [Google Scholar] [CrossRef]
  56. Lozano-Durán, R.; Robatzek, S. 14-3-3 proteins in plant-pathogen interactions. Mol. Plant Microbe Interact. 2015, 28, 511–518. [Google Scholar] [CrossRef]
  57. Campo, S.; Peris-Peris, C.; Montesinos, L.; Peñas, G.; Messeguer, J.; San Segundo, B. Expression of the maize ZmGF14-6 gene in rice confers tolerance to drought stress while enhancing susceptibility to pathogen infection. J. Exp. Bot. 2012, 63, 983–999. [Google Scholar] [CrossRef]
  58. Cooper, B.; Clarke, J.D.; Budworth, P.; Kreps, J.; Hutchison, D.; Park, S.; Guimil, S.; Dunn, M.; Luginbühl, P.; Ellero, C.; et al. A network of rice genes associated with stress response and seed development. Proc. Natl. Acad. Sci. USA 2003, 100, 4945–4950. [Google Scholar] [CrossRef]
  59. Sehnke, P.C.; DeLille, J.M.; Ferl, R.J. Consummating signal transduction: The role of 14-3-3 proteins in the completion of signal-induced transitions in protein activity. Plant Cell 2002, 14 (Suppl. 1), S339–S354. [Google Scholar] [CrossRef]
  60. Pallucca, R.; Visconti, S.; Camoni, L.; Cesareni, G.; Melino, S.; Panni, S.; Torreri, P.; Aducci, P. Specificity of ε and non-ε isoforms of arabidopsis 14-3-3 proteins towards the H+-ATPase and other targets. PLoS ONE 2014, 9, e90764. [Google Scholar] [CrossRef]
  61. Sehnke, P.C.; Rosenquist, M.; Alsterfjord, M.; DeLille, J.; Sommarin, M.; Larsson, C.; Ferl, R.J. Evolution and isoform specificity of plant 14-3-3 proteins. Plant Mol. Biol. 2002, 50, 1011–1018. [Google Scholar] [CrossRef] [PubMed]
  62. Chen, F.; Li, Q.; Sun, L.; He, Z. The rice 14-3-3 gene family and its involvement in responses to biotic and abiotic stress. DNA Res. 2006, 13, 53–63. [Google Scholar] [CrossRef]
  63. Schlueter, J.A.; Lin, J.Y.; Schlueter, S.D.; Vasylenko-Sanders, I.F.; Deshpande, S.; Yi, J.; O’Bleness, M.; Roe, B.A.; Nelson, R.T.; Scheffler, B.E.; et al. Gene duplication and paleopolyploidy in soybean and the implications for whole genome sequencing. BMC Genom. 2007, 8, 330. [Google Scholar] [CrossRef] [PubMed]
  64. Gill, N.; Findley, S.; Walling, J.G.; Hans, C.; Ma, J.; Doyle, J.; Stacey, G.; Jackson, S.A. Molecular and chromosomal evidence for allopolyploidy in soybean. Plant Physiol. 2009, 151, 1167–1174. [Google Scholar] [CrossRef] [PubMed]
  65. Brambilla, V.; Martignago, D.; Goretti, D.; Cerise, M.; Somssich, M.; de Rosa, M.; Galbiati, F.; Shrestha, R.; Lazzaro, F.; Simon, R.; et al. Antagonistic transcription factor complexes modulate the floral transition in rice. Plant Cell 2017, 29, 2801–2816. [Google Scholar] [CrossRef]
  66. Li, Y.; Guan, R.; Liu, Z.; Ma, Y.; Wang, L.; Li, L.; Lin, F.; Luan, W.; Chen, P.; Yan, Z.; et al. Genetic structure and diversity of cultivated soybean (Glycine max (L.) Merr.) landraces in China. Theor. Appl. Genet. 2008, 117, 857–871. [Google Scholar] [CrossRef]
  67. Watanabe, S.; Harada, K.; Abe, J. Genetic and molecular bases of photoperiod responses of flowering in soybean. Breed. Sci. 2012, 61, 531–543. [Google Scholar] [CrossRef]
  68. Kim, M.Y.; Shin, J.H.; Kang, Y.J.; Shim, S.R.; Lee, S.-H. Divergence of flowering genes in soybean. J. Biosci. 2012, 37, 857–870. [Google Scholar] [CrossRef]
  69. Zhang, T.; Wu, T.; Wang, L.; Jiang, B.; Zhen, C.; Yuan, S.; Hou, W.; Wu, C.; Han, T.; Sun, S. A combined linkage and GWAS analysis identifies QTLs linked to soybean seed protein and oil content. Int. J. Mol. Sci. 2019, 20, 5915. [Google Scholar] [CrossRef]
  70. Fehr, W.R.; Caviness, C.E.; Burmood, D.T.; Pennington, J. Stage of development descriptions for soybeans, Glycine Max (L.) Merrill. Crop Sci. 1971, 11, 929–931. [Google Scholar] [CrossRef]
  71. 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]
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Figure 1. Syntenic and phylogenetic analysis of GmSGF14 in soybean. (A) Collinearity analysis and gene duplication of soybean GmSGF14 genes. Gray lines represent all homologous gene blocks in soybean genome, and red lines represent duplicated GmSGF14 gene pairs. (B) Phylogenetic tree of 14-3-3 genes in Arabidopsis, rice and soybean. Different subgroups are represented by different colors.
Figure 1. Syntenic and phylogenetic analysis of GmSGF14 in soybean. (A) Collinearity analysis and gene duplication of soybean GmSGF14 genes. Gray lines represent all homologous gene blocks in soybean genome, and red lines represent duplicated GmSGF14 gene pairs. (B) Phylogenetic tree of 14-3-3 genes in Arabidopsis, rice and soybean. Different subgroups are represented by different colors.
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Figure 2. Phylogenetic relationship, gene structure and conserved motifs of GmSGF14 genes. (A) Phylogenetic tree of soybean GmSGF14 proteins, with different subfamilies represented by different colors. (B) Genetic structure of GmSGF14 genes, including introns, UTRs, CDS and domains specific to the 14-3-3 family. (C) Conserved motifs of GmSGF14 proteins.
Figure 2. Phylogenetic relationship, gene structure and conserved motifs of GmSGF14 genes. (A) Phylogenetic tree of soybean GmSGF14 proteins, with different subfamilies represented by different colors. (B) Genetic structure of GmSGF14 genes, including introns, UTRs, CDS and domains specific to the 14-3-3 family. (C) Conserved motifs of GmSGF14 proteins.
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Figure 3. Expression profile analysis of GmSGF14 in different tissues of soybean variety Zhonghuang 13 under different photoperiod conditions. (A–T) The expression levels in different tissues of GmSGF14a-GmSGF14t. LD: long day (16: 8 h, light: dark), SD: short day (12: 12 h, light: dark). Error bar represents SE values of three biological replicates. Statistical significance was determined using Student’s t-tests: ns, * and ** indicate non-significant results, p < 0.05 and p < 0.01, respectively.
Figure 3. Expression profile analysis of GmSGF14 in different tissues of soybean variety Zhonghuang 13 under different photoperiod conditions. (A–T) The expression levels in different tissues of GmSGF14a-GmSGF14t. LD: long day (16: 8 h, light: dark), SD: short day (12: 12 h, light: dark). Error bar represents SE values of three biological replicates. Statistical significance was determined using Student’s t-tests: ns, * and ** indicate non-significant results, p < 0.05 and p < 0.01, respectively.
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Figure 4. Correlation analysis of GmSGF14 haplotypes with flowering time in 207 soybean varieties. (A–O) Flowering time of soybean varieties with major haplotypes of GmSGF14a-GmSGF14s. Number within each box above bar chart indicates number of unflowering varieties. Data are means ± standard deviations. a-, b- and c-rank determined via Duncan’s test at p < 0.05. SY2016: Sanya 2016; XT2017: Xiangtan 2017; XX2016: Xinxiang 2016; BJ2016: Beijing 2016; CC2017: Changchun 2017; HH2017: Heihe 2017.
Figure 4. Correlation analysis of GmSGF14 haplotypes with flowering time in 207 soybean varieties. (A–O) Flowering time of soybean varieties with major haplotypes of GmSGF14a-GmSGF14s. Number within each box above bar chart indicates number of unflowering varieties. Data are means ± standard deviations. a-, b- and c-rank determined via Duncan’s test at p < 0.05. SY2016: Sanya 2016; XT2017: Xiangtan 2017; XX2016: Xinxiang 2016; BJ2016: Beijing 2016; CC2017: Changchun 2017; HH2017: Heihe 2017.
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Figure 5. Geographical distribution of soybean varieties with major haplotypes of GmSGF14. (A–O) Geographic distribution of GmSGF14a–GmSGF14s haplotypes. NE: Northeastern China; HHH: Huang–Huai–Hai; SC: Southern China.
Figure 5. Geographical distribution of soybean varieties with major haplotypes of GmSGF14. (A–O) Geographic distribution of GmSGF14a–GmSGF14s haplotypes. NE: Northeastern China; HHH: Huang–Huai–Hai; SC: Southern China.
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Jiang, L.; Wang, P.; Jia, H.; Wu, T.; Yuan, S.; Jiang, B.; Sun, S.; Zhang, Y.; Wang, L.; Han, T. Haplotype Analysis of GmSGF14 Gene Family Reveals Its Roles in Photoperiodic Flowering and Regional Adaptation of Soybean. Int. J. Mol. Sci. 2023, 24, 9436. https://doi.org/10.3390/ijms24119436

AMA Style

Jiang L, Wang P, Jia H, Wu T, Yuan S, Jiang B, Sun S, Zhang Y, Wang L, Han T. Haplotype Analysis of GmSGF14 Gene Family Reveals Its Roles in Photoperiodic Flowering and Regional Adaptation of Soybean. International Journal of Molecular Sciences. 2023; 24(11):9436. https://doi.org/10.3390/ijms24119436

Chicago/Turabian Style

Jiang, Liwei, Peiguo Wang, Hongchang Jia, Tingting Wu, Shan Yuan, Bingjun Jiang, Shi Sun, Yuxian Zhang, Liwei Wang, and Tianfu Han. 2023. "Haplotype Analysis of GmSGF14 Gene Family Reveals Its Roles in Photoperiodic Flowering and Regional Adaptation of Soybean" International Journal of Molecular Sciences 24, no. 11: 9436. https://doi.org/10.3390/ijms24119436

APA Style

Jiang, L., Wang, P., Jia, H., Wu, T., Yuan, S., Jiang, B., Sun, S., Zhang, Y., Wang, L., & Han, T. (2023). Haplotype Analysis of GmSGF14 Gene Family Reveals Its Roles in Photoperiodic Flowering and Regional Adaptation of Soybean. International Journal of Molecular Sciences, 24(11), 9436. https://doi.org/10.3390/ijms24119436

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