Next Article in Journal
Catabolism of Fibromodulin in Developmental Rudiment and Pathologic Articular Cartilage Demonstrates Novel Roles for MMP-13 and ADAMTS-4 in C-terminal Processing of SLRPs
Previous Article in Journal
The Paroxysmal Depolarization Shift: Reconsidering Its Role in Epilepsy, Epileptogenesis and Beyond
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 20
Issue 3
10.3390/ijms20030578
ijms-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

Candidate Gene Selection for Cytoplasmic Male Sterility in Pepper (Capsicum annuum L.) through Whole Mitochondrial Genome Sequencing

by
Peng Wang
1,2,
Qiaohua Lu
1,2,
Yixin Ai
1,2,
Yihao Wang
1,2,
Tiantian Li
1,2,
Lang Wu
1,2,
Jinqiu Liu
1,2,
Qing Cheng
1,2,
Liang Sun
1,2,* and
Huolin Shen
1,2,*
1
Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
2
Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(3), 578; https://doi.org/10.3390/ijms20030578
Submission received: 7 January 2019 / Revised: 18 January 2019 / Accepted: 22 January 2019 / Published: 29 January 2019
(This article belongs to the Section Molecular Genetics and Genomics)
Browse Figures
Versions Notes

Abstract

:
Cytoplasmic male sterility (CMS), which is controlled by mitochondrial genes, is an important trait for commercial hybrid seed production. So far, genes controlling this trait are still not clear in pepper. In this study, complete mitochondrial genomes were sequenced and assembled for the CMS line 138A and its maintainer line 138B. The genome size of 138A is 504,210 bp, which is 8618 bp shorter than that of 138B. Meanwhile, more than 214 and 215 open reading frames longer than 100 amino acids (aas) were identified in 138A and 138B, respectively. Mitochondrial genome structure of 138A was quite different from that of 138B, indicating the existence of recombination and rearrangement events. Based on the mitochondrial genome sequence and structure variations, mitochondrion of 138A and FS4401, a Korean origin CMS line, may have inherited from a common female ancestor, but their CMS traits did originate separately. Candidate gene selection was performed according to the published characteristics of the CMS genes, including the presence SNPs and InDels, located in unique regions, their chimeric structure, co-transcription, and transmembrane domain. A total of 35 ORFs were considered as potential candidate genes and 14 of these were selected, with orf300a and 0rf314a as strong candidates. A new marker, orf300a, was developed which did co-segregate with the CMS trait.

1. Introduction

Heterosis plays an important role in crop production. Hybrid crops produce 15–50% higher yields than the parent lines [1]. Therefore, heterosis has been widely used in the production of many cereal and horticultural crops, such as rice, maize, rapeseed, sorghum, sunflower, cucumber, watermelon, tomato as well as pepper [2]. However, one of the factors that limits the application of heterosis is emasculation, which is not only time-consuming and costly, but also unaffordable for many self-pollinating crops. Fortunately, the use of a male sterile line, which does not need emasculation during hybrid production, is a good solution for overcoming this problem. Since it was first successfully utilized in the production of hybrid corn (the maize CMS-T (Texas) system), the male-sterile-line-based hybrid technique has been applied in many other crops [3].
Cytoplasmic male sterility (CMS) is caused by sterility genes in the cytoplasm which lead to the abnormal stamen and incompatible pollen. Cytoplasmic male sterility can be restored by the restorer of fertility (Rf) gene in the nucleus. In contrast to genic male sterility (GMS), CMS is more widely used because the male-sterility trait can be maintained efficiently. Cytoplasmic male sterility is often found in higher plants and features maternal inheritance, pollen abortion, and normal pistil. It is often caused by the expression of a novel open reading frame (ORF) which is located on the mitochondrial genome [4,5]. Mitochondrial genomes of higher plants have many unique characteristics that are different from those of animals and fungi [6]. The most notable feature of the mitochondrial genome of higher plants is its genome size, which range from 200 to 2400 kb [7]. The mitochondrial genome of Brassica hirta is 208 kb [8], pepper 512 kb [9], and Silene 11.3 MB [10]. A large genome size of the plant mitochondrial genome often results in a large number of non-coding sequences, including gene spacing, repeat sequences, and introns. In addition, higher plant mitochondrial genomes usually show higher recombination and rearrangement rates, which could be attributed to the presence of repetitive sequences, which are considered to be one of the main drivers of the mitochondrial genome rearrangement [11,12,13,14,15]. Active recombination and rearrangement in plant mitochondrial DNA often lead to the generation of genes with altered ORFs, which are often manifested as aberrant chimeric structures or co-transcribed with genuine mitochondrial genes [5]. The expression of these aberrant chimeric genes at the RNA or protein level might affect the normal function of an inserted or co-transcribed gene and further affects the normal function of the mitochondria [11]. Those aberrant ORFs in higher plants are often considered as one of the main reasons for CMS.
Since the discovery of male sterility by the German botanist Joseph Gottlieb Kolreuter in 1763 [16], plants with male sterility have been identified in 43 families, 162 genera, and approximately 617 species [17]. More than 28 CMS-related genes have been identified in 13 crop species [3]. These genes often show chimeric structures with the mitochondrial genes present in the normal mitochondria, and encode proteins with transmembrane domains. For instance, the orf79 and its variant orfH79 control the CMS-BT and CMS-HL in rice, respectively. Both of them encode proteins with chimeric structures, of which the N terminus sequences are similar to that of the cox1 gene and the remaining regions could not be aligned to any known proteins [18]. In radish, orf463 controls the CMS-DCGMS, of which the 5′ end 128 bp region can be aligned to cox1 gene and the remaining region could not match any known genes [19]. Meanwhile, orf463 are predicted to contain 12 potential transmembrane domains. Although chimeric structure is one of the most notable features of the CMS genes, it is not an indispensable characteristic for the CMS gene. For example, in rice, orf352 has been confirmed to cause the CMS trait, which does not feature the chimeric structure, but co-transcribes with the ribosomal protein gene rpl5 [20].
The CMS sterility caused by novel mitochondrial ORFs can be restored by the Rf genes in the nucleus. Until now, more than ten Rf genes have been identified, such as Rf2 in maize [21,22], Rf17 in rice [23,24], Rf-PPR592 in Petunia [25], and PPR6 in pepper [26]. Most of the Rf genes are pentatricopeptide repeat (PPR) genes, which encode a group of RNA-binding proteins that often act in the organellar posttranscriptional mRNA processes, such as editing, splicing, cleavage, degradation, and translation [27,28].
Pepper is an important vegetable crop and has been widely grown all over the world. Cytoplasmic male sterility has been widely used in hybrid pepper seed production. A number of studies have been conducted to identify candidate genes controlling CMS. So far, two candidate genes have been reported by a Korean group via restriction fragment length polymorphism (RFLP) analyses and RT-PCR [29,30,31,32]. One candidate, the atp6 gene, encoding subunit of the mitochondrial ATP synthase complex, has been identified to be a gene duplication in the mitochondrial genome. The first copy of the atp6 gene, atp6-1, shared the same sequence in both of the male-sterile (Milyang-CMS) and maintainer lines (Milyang-N). However, in regard to the second copy of the atp6 gene, atp6-2, there is a deletion at the 3′ end of the male-sterile allele (ψatp6-2), which is considered to be the reason for the male-sterile trait [29,31]. Another candidate, identified in Milyang-CMS and 417/A, is the orf456/507 gene, which is called orf456 by Kim et al. [32], and orf507 by Gulyas [33]. The gene orf507 harbors a single nucleotide deletion at the +449 position which increases the ORF from 456 bp to 507 bp [32,33]. Recently, Jo et al. [9] published the complete mitochondrial genome sequence of the pepper CMS line FS4401 and the fertile line Jeju. orf507 and ψatp6-2 were only identified in the mitochondrial genome of FS4401, further indicating they may be the candidates controlling CMS.
In this study, we sequenced and assembled the mitochondrial genomes of the CMS line 138A as well as its maintainer line 138B. A mitochondrial genome wide pairwise comparison was also conducted among the two Korean (FS4401 and Jeju) and two Chinese (138A and 138B) materials. Based on the genome sequence variation as well as the expression patterns, several candidate mitochondrial genes responsible for the male sterility in 138A were predicted.

2. Results

2.1. Mitochondrial Genome Sequence of CMS Line 138A and Its Maintainer Line 138B

Mitochondrial genomes of CMS line 138A and its maintainer line 138B were sequenced via Illumina PE and PacBio techniques. For the Illumina PE sequencing, 5429 Mb and 6837 Mb clean data were obtained from line 138A and 138B, respectively. The Q30 values for 138A and 138B were 94.73% and 95.07%, respectively. In regard to the PacBio sequencing, 98.36 Mb filtered subreads with N50 = 10,278 bp and 101.83 Mb filtered subreads with N50 = 10,357 bp were generated from line 138A and B, respectively. Through de novo assembling, mitochondrial genomes of 138A and 138B were obtained, of which the first one was 504,210 bp and second one was 512,828 bp. The GC contents of the mitochondrial genomes of 138A and 138B were 44.55% and 44.51%, respectively. The complete mitochondrial genome sequences of line 138A and 138B can be obtained in the GenBank nucleotide sequence database (https://www.ncbi.nlm.nih.gov/genbank/) under the accession numbers of MK225636 and MK225637, respectively.

2.2. ORF Identification and Gene Annotation

The ORF encoding proteins that were equal to or larger than 100 aas were identified from the assembled mitochondrial genomes. In 138A, 214 ORFs (including 33 known genes) and 34 non-coding RNAs (ncRNAs) were identified, and meanwhile 215 ORFs (including 33 known genes) and 31 ncRNAs were recognized in 138B (Supplementary Materials Table S1). Among those ORFs, 27 and 26 unique ORFs were identified in 138A and 138B, respectively (Supplementary Materials Tables S2 and S4). As to the known genes in 138A and 138B mitochondrial genomes, there was one-to-one correspondence with each other and encoded ribosomal protein large subunits RPL2, RPL5, RPL10, RPL16, RPS3, RPS4, RPS10, RPS12, RPS13, and RPS19; succinic acid dehydrogenase subunits SDH3 and SDH4; ATP synthase ATP1, ATP6, and ATP9; cytochrome oxidase subunits COX1, COX2, and COX3; cytochrome b COB; NADH dehydrogenase subunits NAD1, NAD2, NAD3, NAD4, NAD4L, NAD5, NAD6, NAD7, and NAD9; cytochrome C synthesis related proteins CCMB, CCMC, CCMFC, and CCMFN; mature enzymes MATR. Finally, by combining with the mitochondrial sequences and ORFs identification results, mitochondrial genome maps of 138A and 138B were constructed (Figure 1).

2.3. Comparative Analysis of the Mitochondrial Genomes

2.3.1. Syntenic Sequence Analysis of the Mitochondrial Genomes

Comparative analysis was conducted between the of Korean CMS line FS4401 and its fertile line Jeju and CMS line 138A and maintainer line 138B. In terms of the genome size, 138A was 3242 bp smaller than FS4401 (507,452 bp), while 138B was 1298 bp larger than Jeju (511,530 bp). In regard to the known functional gene annotation, compared with FS4401 and Jeju, both 138A and 138B lacked three genes, including atp4, atp8, and mttB. A total of 19 syntenic sequence blocks were identified between 138A and 138B (Figure 1), which account for 91.68% and 90.24% of the mitochondrial genome sequences, respectively. A total of 23 unique regions ranging from 19 bp to 10,469 bp were identified between 138A and 138B, of which 11 unique regions were found in 138A genome, and the other 12 unique regions were found in 138B genome (Supplementary Material Tables S3 and S5). In regard to the whole genome structure, there was an extensive recombination and rearrangement between the two mitochondrial genomes (Figure 2A). In contrast, a very high degree of collinearity, reaching more than 99%, was observed between the CMS lines and fertility lines (Figure 2B,C).

2.3.2. Genome Structural Variation between 138A and 138B

For further clarifying the difference between the two mitochondrial genomes, genome structural variations were investigated between 138A and 138B using 138B as reference. As shown in Figure 3, 13 ectopic, three inversion and eight ectopic + inversion regions were recognized between the two genomes (Figure 3). Meanwhile, two insertions and one deletion which were longer than 50 bp were also identified in the syntenic regions.

2.3.3. SNP and InDel Detection

In order to identify sequence variations in the known genes as well as the ORFs between 138A and 138B mitochondrial sequences, SNPs and InDels were detected between the two mitochondrial genomes. As shown in Tables S6–S8, a total of 112 SNPs and 14 InDels were identified between the two mitochondrial genomes. Among those mutations, only one SNP was identified in the known mitochondrial gene, mat-R; however, this SNP does not lead to non-synonymous mutations, suggesting it may not be the reason for the CMS. In another aspect, although seven SNPs which led to non-synonymous mutations were identified in six common ORFs shared by both 138A and 138B, no chimeric structure was identified in those ORFs (Supplementary Materials Table S11). In regard to the InDels, two were observed in two common genes shared by 138A and 138B; however, none of them resulted in the frame-shift mutation (Supplementary Materials Table S11).

2.4. Selection of Candidate Genes Controlling the Cytoplasmic Male Sterility

2.4.1. Identification of Novel ORFs in the Unique Regions of 138A

Based on previous studies, novel ORFs generated from the recombination and rearrangement of the mitochondrial genomes in the unique regions of CMS lines are often considered to be the genes controlling the CMS trait. In this study, twenty-seven 138A specific ORFs that encoded ≥100 amino acids were identified (Supplementary Materials Table S2), of which 11 ORFs were located in the unique regions of 138A with full length or partial sequences (Supplementary Materials Table S3).

2.4.2. Analyses of Chimeric Structures, Co-Transcript Event, and Transmembrane Domain

It is known that most CMS and CMS candidate genes feature chimeric structures and/or co-transcribing with functional genes. Thus, chimeric structures and co-transcripts were analyzed with the 138A specific ORFs. To the chimeric structure, only one chimeric structure was predicted. This chimeric structure was found in orf292a, which contained whole rpl2 exon1 and a 7 bp sequence of unknown origin at the 3′ end (Figure 4G). Rpl2 encodes a ribosomal protein large subunit. The existence of the orf292a transcript was confirmed by RT-PCR and sequencing (Figure 5A). Another co-transcript event was only confirmed in orf300a and the nearby gene sdh3. This transcript consisted of the full length of orf300a and sdh3 as well as the 171 bp intergenic sequence (Figure 4F). The co-transcript was also confirmed by RT-PCR (primers: orf300a_F/sdh3_R) and sequencing (Figure 5A). As transmembrane domain is another characteristic of the CMS genes, we performed structural analysis of 138A specific novel ORFs. The following five ORFs (orf157a, orf314a, orf262a, orf300a, and orf115b) were examined for the presence of transmembrane domains (Supplementary Materials Table S2, Figure 4A–E). Also, the expression patterns of four candidate genes, including orf157a, orf262a, orf300a, and orf115b, were also analyzed in anthers of 138A and 138B using real-time PCR (Figure 6). Results showed that almost none of those four genes were expressed in 138B, suggesting those genes expressed at very low level in the maintainer line (Figure 6).

2.5. CMS Marker Development and Testing

Identification of the CMS seedlings in the offspring is very important for the development of CMS lines. Molecular markers for the CMS trait are useful tools for accelerating the above process as well as the application of CMS in the F1 seed production. So far, at least five molecular markers have been developed for the identification of pepper CMS, including atp6 SCAR [30], cox2 SCAR [30], orf456 [32], orf507 [33], and acc D–U [34]. However, in our CMS lines and populations, they did not co-segregate with the CMS trait. Particularly, marker atp6 SCAR could not only be amplified in 138A, and 139C (contains sterile cytoplasm and the restorer of fertility (Rf) gene) lines, but also could be amplified in 138B (Figure 5B). Markers cox2 SCAR, orf456, orf507, and acc D–U did not show polymorphism among 138A, 138B, and 139C lines (Figure 5B). BLASTs result also supported the above observation that the primers sequences of marker cox2 SCAR, orf456 and orf507 could match the mitochondrial genomes of 138A and 138B very well. For marker acc D-U, primers did not align to genome sequences of 138A or 138B. Moreover, when those markers were used in the 43 pepper inbred lines which were developed in our lab from our CMS source (Supplementary Materials Table S9), no polymorphism was observed. Therefore, we tried to develop new markers for identifying the pepper CMS trait. Based on the unique ORFs in 138A, marker orf300a was developed. Further confirmation of this new marker was performed in the 43 pepper inbred lines which were developed in our lab and the male-sterile phenotypes of those lines were already known (Supplementary Materials Table S9). The results shown in Figure 5C indicated that the marker did completely co-segregate with the CMS trait, indicating this marker can be used to screen CMS plants which were originated from our CMS sources.

3. Discussion

3.1. 138A and FS4401 May Originate from a Common Female Ancestor, but Their CMS May Originate Separately

Through sequencing and de novo assembling, completed mitochondrial genomes of a pepper CMS line of Chinese origin (138A) and its maintainer line (138B) were constructed in this study. The mitochondrial genome sequence and structure of 138A was quite similar to that of FS4401, a previously reported Korean pepper CMS line, with the sequence variation rate and structure variation rate less than 2% and 1%, respectively. Moreover, a similar phenomenon was also observed between the maintainer line 138B and a Korean local variety “Jeju”, with the sequence variation rate and structure variation rate less than 2% and 1%, respectively. For the CMS lines, although 138A was developed from a CMS plant which was discovered in the experimental field in China in 1986 [35] and the FS4401 was developed in Korea, their mitochondrial genome sequence and structure were highly similar to each other, suggesting they may originate from a common female ancestor. However, SNPs and InDels were identified between 138A and FS4401, and moreover, no difference was observed in orf507 between 138A and 138B, which is considered to be the gene controlling the CMS in FS4401, indicating that CMS of 138A was not transformed from FS4401 or its recent female parent, and vice versa. In regard to the maintainer line 138B and the Korean local variety “Jeju”, it is surprising that their mitochondrial genomes were also highly similar to each other. 138B is an inbred line of C. annuum var. “Shanghaiyuan”, which is an old local sweet pepper variety in the southeast of China. In regard to C. annuum var. “Jeju”, according to the previous publications, it is a Korean local hot pepper variety [36]. Therefore, it is plausible that 138B and “Jeju” are two different varieties and it can be presumed that the variation of mitochondria genome in C. annuum or at least in some C. annuum varieties is small. A similar phenomenon was also reported in other Solanaceae species. In tomato the mitochondrial genome sequence of a wild tomato, Solanum pennellii, is 98% similar to that of the S. lycopersicum [37]. In conclusion, the mitochondrial genomes of 138A and FS4401 highly likely have been inherited from a common female ancestor but their CMS originated separately.

3.2. Candidate Gene Selection for the CMS Trait in 138A

Cytoplasmic male sterility is an important trait for the hybrid seed production of both cereal and horticultural crops. So far, it has been confirmed that the CMS is not only caused by the SNPs and InDels, but also attributed to the rearrangement and recombination of the mitochondrial genome, which usually leads to the generation of new ORFs, chimeric structures, and co-transcribe events. Thus, for CMS candidate gene selection, the mitochondrial genome sequence variations as well as the mutations caused by the genome structural variations should all be considered. SNPs and indels leading to non-synonymous mutations and/or missing aas were detected in eight ORFs (Table 1), two of which were in the following known genes, orf25 and orfB. Similarly, in tobacco a truncated orf25 caused by an SNP was considered a strong candidate gene for CMS [38,39,40]. Thus, those eight genes with SNPs and InDels should be selected as potential candidate genes underlying the CMS. Also, new ORFs, chimeric structures, co-transcribe, and transmembrane domains are also important reasons for the CMS. For example, orf463, orf125, and orf138, which are the new ORFs generated by the rearrangement and recombination of the mitochondrial genome, are reasons for the CMS-DCGMS in radish, CMS-Kos in radish, and CMS-Ogu in Brassica, respectively [19,41,42]; in sorghum, orf107 encoding a chimeric protein with a segment of ATP9 at the N terminus is confirmed to cause CMS-A3 [43]; in sunflower, orf522 which is co-transcribed with the ATPA gene has been certified to induce the CMS [44]. In this work, 27 138A unique ORFs were identified which were all possible to cause the CMS and should be considered as the potential candidate genes. Furthermore, based on previous studies, most of the CMS genes have the chimeric structure and/or transmembrane domains, which lead to the disturbance of the normal function of mitochondria and finally cause the CMS. Meanwhile, those CMS genes are quite often found to be located on the unique regions of the CMS mitochondrial genomes. Therefore, those conditions were all considered in the further screen of the candidate genes in this study. Finally, 14 138A specific ORFs were found to have several or at least one of the following features: location on the unique region, chimeric structure, co-transcription, and transmembrane domain (Table 1). Among those 14 ORFs, orf292a was predicted to only have a chimeric structure; orf115b and orf157a were only considered to harbor transmembrane domains in their encoding products; orf262a and orf314a were predicted to not only have transmembrane domains, but also be located on the 138A unique regions; orf300a, which is located on the unique region of 138A, was predicted to not only have the transmembrane domains, but also co-transcribe with the sdh3 gene. Thus, all those 14 ORFs should be considered as the candidate genes for CMS in 138A. As orf300a met most of the conditions mentioned above, it was further selected as a strong candidate gene. Besides orf300a, orf314a was also considered to be a strong candidate for CMS gene. The sequence of orf314a in 138A was highly similar (99%) to that of the atp6 in 138B; however, the length of orf314a (945 bp) was 351 bp shorter than that of the atp6. Meanwhile, atp6a in 138A was also highly similar (99%) to that of atp6 in 138B, but the length of atp6a (855 bp) was 441 bp shorter than of atp6 (Supplementary Materials Figure S1). atp6 encodes the ATP6 subunit of the mitochondrial ATP synthase and has been confirmed to be involved in the control of CMS. Therefore, it is high likely that orf314a and atp6a in 138A originated from the atp6 gene. During the rearrangement and recombination of the mitochondrial genome, the original atp6 in 138A did break into two pieces, and later, one piece evolved into apt6a and the other evolved into orf314a. This variation may lead to the disturbance of the normal function of atp6 and cause the CMS in 138A. Similar phenomenon was also reported by Kim et al. [31]. Finally, in this study, two ORFs, orf300a and orf314a, were selected as strong candidates for the CMS controlling gene in 138A. However, in the previous publication, orf507 was considered as a strong candidate gene for CMS in FS4401, because it was only found in the CMS line but not the MF line. Moreover, the short form of orf507, named orf456, has been confirmed to cause CMS via ectopic expression. In this work, orf507 was annotated in the mitochondrial genomes of 138A and 138B, and no sequence variation was found between the CMS and maintainer lines (Supplementary Materials Figure S2), suggesting orf507 should not be the candidate gene for CMS.

4. Materials and Methods

4.1. Plant Materials

A pepper CMS line 138A and its maintainer line 138B were used in this study. 138A and 138B are in the sweet pepper “Shanghaiyuan” background. The CMS trait of 138A was transferred from an inbred line which originated from a CMS plant that was discovered in the production field of variety “8633” in 1986. Approximately 1000 seeds were sown in a growth chamber with 28 °C, 70% humidity, 16 h light/8 darkness. Tender roots of the two lines were collected at the four-leaf stage, washed with tap water and frozen with liquid nitrogen, followed by storage at −80 °C.

4.2. Mitochondrial DNA Extraction

Mitochondrial DNA was extracted using the GENMED large number of plant tissue mitochondrial DNA extraction kit (Genmed Scientifics Inc., Arlington, MA, USA). Pepper tender roots (60 g) were ground in a mortar under liquid nitrogen. The powdered tissues were then homogenized with 500 mL homogenization buffer (supply by the kit) in a glass homogenizer. The quality of DNA was assessed using NanoDrop2000, qubit3.0, and 0.8% agarose gel electrophoresis.

4.3. Sequencing and Assembling of the Mitochondrial Genome

One microgram of the purified DNA was fragmented to construct 430-bp short-insert libraries according to the manufacturer’s instructions (Illumina, Hercules, CA, USA), and then sequenced on the Illumina Hiseq 4000 platform [45]. The high-molecular weight DNA was purified and used for PacBio library prep, BluePippin size selection, and then sequenced on the Sequel Sequencer.
Prior to assembly, the Illumina raw reads were filtered to remove the reads with adaptors, the reads showing a quality score below 20(Q < 20), the reads containing a percentage of uncalled based (“N” characters) equal or greater than 10%, and the duplicated sequences. The mitochondrial genome was reconstructed using a combination of the Pacbio Sequel data and the Illumina Hiseq data, and the following three steps were used to assemble the mitochondrial genomes. First, the genome framework was assembled by combing the Illumina and Pacbio data using SPAdes v3.10.1 [46]. Second, the assembly was verified and the circular or linear characteristics of the mitochondrial genome were completed, filling the gaps if any. Third, the clean reads were mapped to the assembled mitochondrial genome to correct the wrong bases and the presence of any insertion and deletion was judged. Finally, the complete mitochondrial genome sequences of 138A (CMS cytoplasm) and 138B (normal cytoplasm) were acquired and deposited in the GenBank nucleotide sequence database.

4.4. Genome Component Analysis

4.4.1. Gene Annotation and Identification of ORFs

The mitochondrial genes were annotated using homology alignments and de novo prediction. EVidenceModeler v1.1.1 was used to integrate the gene set [47]. The transfer RNA (tRNA) and ribosomal RNA (rRNA) genes were predicted by tRNAscan-SE [48] and rRNAmmer 1.2 [49], respectively. A whole mitochondria genome BLAST [50] (basic local alignment search tool) search (E-value ≤ 1 × 10−5, minimal alignment length percentage ≥ 40%) was performed against the following five databases: KEGG (Kyoto Encyclopedia of Genes and Genomes) [51,52,53], COG (Clusters of Orthologous Groups) [54,55], NR (Non-Redundant Protein Database databases), Swiss-Prot [56], and GO (Gene Ontology) [57]. The circular map of the mitochondrial genome was drawn using OrganellarGenomeDRAW v1.2 [58]. The prediction of the ORFs was undertaken using the software ORF Finder (http://www.ncbi.nlm.nih.gov/gorf/gorf.html) if the hypothetical proteins encoded by the ORFs were longer than 100 amino acids. The names of the ORFs were given based on the number of amino acids that they encoded. Orfxx + suffix a/b/c: xx represents the length of the amino acid sequence of the orf, while the suffix a/b/c represents the same length, but different genes; orfxx + suffix -1/-2/-3: xx represents the length of the amino acid sequence of ORF, and the suffix -1/-2/-3 represents the duplicated genes of the same length.
The presence of a transmembrane domain in each hypothetical protein was predicted using TMHMM server v.2.0 (http://www.cbs.dtu.dk/services/TMHMM/).

4.4.2. Sequence Comparison between 138A and 138B

In order to identify the syntenic sequence blocks and their translocation and inversion, a whole-genome synteny analysis was performed between 138A and 138B using the software programs MUMmer v3.23 and LASTZ v1.03.54. A single nucleotide polymorphism (SNP) was identified between 138A and 138B using the software programs MUMmer and BLAT v35. The size of the insertion–deletion (InDel) sequence ranging from 1 to 10 bp was identified using the software programs LASTZ v1.03.54, BWA, and SAMtools. The structural variation (SV) of the two genomes was identified using the software programs MUMmer v3.23 and LASTZ v1.03.54.

4.4.3. RT–PCR, Real-time PCR, and Sequencing of PCR Products

Total RNA was isolated from different tissues and organs (root; stems; leaf; petals, anther, sepals and ovary at different times) of 138A, 138B, and 139C using an RNA extraction kit (SV total RNA isolation system, Promega), and the resulting RNA was reverse transcribed using the PrimeScriptTM RT Reagent Kit (TaKaRa Bio Inc., Kusatsu, Shiga, Japan) to obtain 20 μL of cDNA solution. The RT-PCR was performed in a 50-μL reaction volume containing 2 μL template cDNA, 25 μL high fidelity DNA polymerase (TaKaRa Bio Inc., Kusatsu, Shiga, Japan), 2 μL forward primer (10 μM), 2 μL reverse primer (10 μM), and 19 μL deionized water. The primers used in this study are listed in Supplementary Table S10. The RT-PCR was conducted using the following thermal cycles: initial denaturation at 94 °C for 5 min; 28 cycles of 98 °C for 10 s, 55 °C for 15 s, and 72 °C for 1 min; then followed a final 5 min extension at 72 °C. To add poly-A tails to PCR products, 10 μL Taqmix was added to 50 μL PCR product and the mixture was incubated at 72 °C for 30 min. The amplification products were detected by electrophoresis on a 1.5% agarose gel (containing gold view nucleic acid dye) and analyzed by UVI gel imaging system. The PCR products were purified using an Agarose Gel DNA Recovery Kit (GENERAY BIOTECH, Shanghai, China). The purified PCR product (4 μL) was mixed with 1 μL PMD19-T (TaKaRa Bio Inc., Kusatsu, Shiga, Japan) and 5 μL ligase mix and incubated for 10 h at 16 °C. Subsequently, the ligated product was sequenced by ABI PRISM 3730XL Analyzer (Applied Biosystems, Foster City, CA, USA).
The real-time PCR was performed using the TB GreenTM Premix Ex TaqTM (TaKaRa Bio Inc., Kusatsu, Shiga, Japan), following manufacturer’s instructions on an ABI 7500 real-time PCR system. The thermocycling conditions were set as follows: 95 °C for 30 s, 40 cycles of 95 °C for 5 s, and 60 °C for 34 s. Expression results were plotted based on 2−ΔΔCt method. Boxplot was generated via boxplot() in R.

5. Conclusions

Cytoplasmic male sterility is a very important phenotypic trait in pepper breeding. The present study reveals the complete genome sequences of the mitochondria in a pepper CMS line 138A cytoplasm and its maintainer line 138B normal cytoplasm. Those sequences can be found and downloaded in the GenBank nucleotide sequence database (https://www.ncbi.nlm.nih.gov/genbank/) under the accession numbers of MK225636 and MK225637, respectively. By comparing the two mitochondrial genomes, several ORFs (orf300a, orf314a, orf262a, orf292a, orf157a, orf115b) that might be related to CMS, among them, orf300a and orf314a, were selected as strong candidates for the CMS controlling gene in 138A. In addition, orf300a has been successfully applied to CMS material screening as a molecular marker.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/20/3/578/s1.

Author Contributions

P.W. performed most of the experiments, analyzed the data, and drafted the manuscript. L.S. made the figures and modified the manuscript. Q.L., Y.A., Y.W., and T.L. participated in mtDNA extraction. L.W., J.L., and Q.C. performed the RT-PCR and real-time PCR analysis. H.S. and L.S. designed and directed the entire study. All authors have read and approved the final manuscript.

Funding

This work is supported by The National Key Research and Development Program of China (2016YFD0101704) and Modern Agricultural Industry Technology System of Beijing Fruit Vegetables Innovation Team (BAIC01-2019).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tester, M.; Langridge, P. Breeding technologies to increase crop production in a changing world. Science 2010, 327, 818–822. [Google Scholar] [CrossRef] [PubMed]
  2. Li, S.; Yang, D.; Zhu, Y. Characterization and use of male sterility in hybrid rice breeding. J. Integr. Plant Biol. 2007, 49, 791–804. [Google Scholar] [CrossRef]
  3. Chen, L.; Liu, Y.G. Male Sterility and Fertility Restoration in Crops. Annu. Rev. Plant Biol. 2014, 65, 579–606. [Google Scholar] [CrossRef] [PubMed]
  4. Schnable, P.S.; Wise, R.P. The molecular basis of cytoplasmic male sterility and fertility restoration. Trends Plant Sci. 1998, 3, 175–180. [Google Scholar] [CrossRef]
  5. Hanson, M.R.; Bentolila, S. Interactions of mitochondrial and nuclear genes that affect male gametophyte development. Plant Cell 2004, 16 (Suppl. 1), S154–S169. [Google Scholar] [CrossRef]
  6. Knoop, V. The mitochondrial DNA of land plants: Peculiarities in phylogenetic perspective. Curr. Genet. 2004, 46, 123–139. [Google Scholar] [CrossRef] [PubMed]
  7. Scheffler, I.E. Mitochondria; Wiley-Liss: New York, NY, USA, 1999. [Google Scholar]
  8. Palmer, J.D.; Herbon, L.A. Unicircular structure of the Brassica hirta mitochondrial genome. Curr. Genet. 1987, 11, 565–570. [Google Scholar] [CrossRef] [PubMed]
  9. Jo, Y.D.; Choi, Y.; Kim, D.H.; Kim, B.D.; Kang, B.C. Extensive structural variations between mitochondrial genomes of CMS and normal peppers (Capsicum annuum L.) revealed by complete nucleotide sequencing. BMC Genomics. 2014, 15, 561. [Google Scholar] [CrossRef]
  10. Sloan, D.B.; Alverson, A.J.; Chuckalovcak, J.P.; Wu, M.; McCauley, D.E.; Palmer, J.D.; Taylor, D.R. Rapid evolution of enormous, multichromosomal genomes in flowering plant mitochondria with exceptionally high mutation rates. PLoS Biol. 2012, 10, e1001241. [Google Scholar] [CrossRef]
  11. Budar, F.; Touzet, P.; De Paepe, R. The nucleo-mitochondrial conflict in cytoplasmic male sterilities revised. Genetica 2003, 117, 3–16. [Google Scholar] [CrossRef]
  12. Kubo, T.; Newton, K.J. Angiosperm mitochondrial genomes and mutations. Mitochondrion 2008, 8, 5–14. [Google Scholar] [CrossRef] [PubMed]
  13. Small, I.; Suffolk, R.; Leaver, C.J. Evolution of plant mitochondrial genomes via substoichiometric intermediates. Cell 1989, 58, 69–76. [Google Scholar] [CrossRef]
  14. Albert, B.; Godelle, B.; Gouyon, P.H. Evolution of the plant mitochondrial genome: Dynamics of duplication and deletion of sequences. J. Mol. Evol. 1998, 46, 155–158. [Google Scholar] [CrossRef] [PubMed]
  15. Woloszynska, M.; Trojanowski, D. Counting mtDNA molecules in Phaseolus vulgaaris: Sublimons are constantly produced by recombination via short repeats and undergo rigorous selection during substoichiometric shifting. Plant Mol. Biol. 2009, 70, 511–521. [Google Scholar] [CrossRef] [PubMed]
  16. Mayr, E. Joseph Gottlieb Kolreuter’s contributions to biology. Osiris 1986, 2, 76–135. [Google Scholar] [CrossRef]
  17. Kaul, M.L. Male Sterility in Higher Plants; Springer: New York, NY, USA, 2012. [Google Scholar]
  18. Wang, Z.; Zou, Y.; Li, X.; Zhang, Q.; Chen, L.; Wu, H.; Su, D.; Chen, Y.L.; Guo, J.X.; Luo, D.; et al. Cytoplasmic male sterility of rice with boro II cytoplasm is caused by a cytotoxic peptide and is restored by two related PPR motif genes via distinct modes of mRNA silencing. Plant Cell 2006, 18, 676–687. [Google Scholar] [CrossRef]
  19. Park, J.Y.; Lee, Y.P.; Lee, J.; Choi, B.S.; Kim, S.; Yang, T.J. Complete mitochondrial genome sequence and identification of a candidate gene responsible for cytoplasmic male sterility in radish (Raphanus sativus L.) containing DCGMS cytoplasm. Theor. Appl. Genet. 2013, 126, 1763–1774. [Google Scholar] [CrossRef]
  20. Okazaki, M.; Kazama, T.; Murata, H.; Motomura, K.; Toriyama, K. Whole mitochondrial genome sequencing and transcriptional analysis to uncover an RT102-type cytoplasmic male sterility-associated candidate gene derived from Oryza rufipogon. Plant Cell Physiol. 2013, 54, 1560–1568. [Google Scholar] [CrossRef]
  21. Cui, X.; Wise, R.P.; Schnable, P.S. The rf2 nuclear restorer gene of male-sterile T-cytoplasm maize. Science 1996, 272, 1334–1336. [Google Scholar] [CrossRef]
  22. Liu, F.; Cui, X.; Horner, H.T.; Weiner, H.; Schnable, P.S. Mitochondrial aldehyde dehydrogenase activity is required for male fertility in maize. Plant Cell 2001, 13, 1063–1078. [Google Scholar] [CrossRef]
  23. Fujii, S.; Komatsu, S.; Toriyama, K. Retrograde regulation of nuclear gene expression in CW-CMS of rice. Plant Mol. Biol. 2007, 63, 405–417. [Google Scholar] [CrossRef] [PubMed]
  24. Fujii, S.; Toriyama, K. Suppressed expression of retrograde-regulated male sterility restores pollen fertility in cytoplasmic male sterile rice plants. Proc. Natl. Acad. Sci. USA 2009, 106, 9513–9518. [Google Scholar] [CrossRef] [PubMed]
  25. Bentolila, S.; Alfonso, A.A.; Hanson, M.R. A pentatricopeptide repeat-containing gene restores fertility to cytoplasmic male-sterile plants. Proc. Natl. Acad. Sci. USA 2002, 99, 10887–10892. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Jo, Y.D.; Ha, Y.; Lee, J.H.; Park, M.; Bergsma, A.C.; Choi, H.I.; Goritschnig, S.; Kloosterman, B.; van Dijk, P.J.; Choi, D.; et al. Fine mapping of restorer-of-fertility in pepper (Capsicum annuum L.) identified a candidate gene encoding a pentatricopeptide repeat (PPR)-containing protein. Theor. Appl. Genet. 2016, 129, 2003–2017. [Google Scholar] [CrossRef]
  27. Delannoy, E.; Stanley, W.A.; Bond, C.S.; Small, I.D. Pentatricopeptide repeat (PPR) proteins as sequence-specificity factors in post-transcriptional processes in organelles. Biochem. Soc. Trans. 2007, 35, 1643–1647. [Google Scholar] [CrossRef] [PubMed]
  28. Schmitz-Linneweber, C.; Small, I. Pentatricopeptide repeat proteins: A socket set for organelle gene expression. Trends Plant Sci. 2008, 13, 663–670. [Google Scholar] [CrossRef] [PubMed]
  29. Kim, D.H.; Kang, J.G.; Kim, S.; Kim, B.D. Identification of cox II and atp6 region as associated to CMS in Capsicum annuum by using RFLP and long and accurate PCR. Hortic. Environ. Biotech. 2001, 42, 121–127. [Google Scholar]
  30. Kim, D.H.; Kim, B.D. Development of SCAR markers for early identification of cytoplasmic male sterility genotype in chili pepper (Capsicum annuum L.). Mol. Cell 2005, 20, 416–422. [Google Scholar]
  31. Kim, D.H.; Kim, B.D. The organization of mitochondrial atp6 gene region in male fertile and CMS lines of pepper (Capsicum annuum L.). Curr. Genet. 2006, 49, 59–67. [Google Scholar] [CrossRef]
  32. Kim, D.H.; Kang, J.G.; Kim, B.D. Isolation and characterization of the cytoplasmic male sterility-associated orf456 gene of chili pepper (Capsicum annuum L.). Plant Mol. Biol. 2007, 63, 519–532. [Google Scholar] [CrossRef]
  33. Gulyas, G.; Shin, Y.; Kim, H.; Lee, J.S.; Hirata, Y. Altered Transcript Reveals an Orf507 Sterility-Related Gene in Chili Pepper (Capsicum annuum L.). Plant Mol. Biol. Rep. 2010, 28, 605–612. [Google Scholar] [CrossRef]
  34. Jo, Y.K.; Jeong, H.J.; Kang, B.C. Development of a CMS-specific marker based on chloroplast-derived mitochondrial sequence in pepper. Plant Biotechnol. Rep. 2009, 3, 309–315. [Google Scholar] [CrossRef]
  35. Shen, H.L.; Jiang, J.Z.; Wang, Z.; Geng, S.S. Studies on the breeding and inheritance of male sterile lines of pepper (Capsicum annuum L.). J. Beijing Agric. Univ. 1994, 20, 25–30. [Google Scholar]
  36. Lee, J.H.; An, J.T.; Han, K.; Choi, S.; Siddique, M.I.; Kang, B.C. Genetic mapping of resistance sources against ChiVMV (Chili veinal mottle virus) in hot pepper. Gene Genome New Technol. Plant Breed. 2016, 1, 220. [Google Scholar]
  37. Wang, R.; Cai, X.H.; Fan, Y.J.; Hu, S.G.; Zhou, W. Advances in Solanaceae Mitochondrial Genomics. Genom. App. Biol. 2018, 1–10. [Google Scholar]
  38. Heazlewood, J.L.; Whelan, J.; Millar, A.H. The products of the mitochondrial orf25 and orfB genes are F0 components in the plant F1F0 ATP synthase. FEBS Lett. 2003, 540, 201–205. [Google Scholar] [CrossRef]
  39. Liu, Q.; Zhu, T.; Zhao, T.; Huang, H. Aberrant mitochondrial gene orf25 may cause tobacco male sterility. Acta Agric. Univ. Jiangxiensi 2009, 31, 54–62. [Google Scholar]
  40. Zhou, W.; Huang, H.; Zhou, B.N.; Liu, Q.Y. The bioinformatics analysis of orf25 gene related to tobacco cytoplasmic male sterility. Chin. Agric. Sci. Bull. 2011, 5, 312–316. [Google Scholar]
  41. Bonhomme, S.; Budar, F.; Lancelin, D.; Small, I.; Defrance, M.; Pelletier, G. Sequence and transcript analysis of the Nco2.5 Ogura-specific fragment correlated with cytoplasmic male sterility in Brassica cybrids. Mol. Gen. Genet. 1992, 235, 340–348. [Google Scholar] [CrossRef]
  42. Tanaka, Y.; Tsuda, M.; Yasumoto, K.; Yamagishi, H.; Terachi, T. A complete mitochondrial genome sequence of Ogura-type male-sterile cytoplasm and its comparative analysis with that of normal cytoplasm in radish (Raphanus sativus L.). BMC Genom. 2012, 13, 352. [Google Scholar] [CrossRef]
  43. Tang, H.V.; Pring, D.R.; Shaw, L.C.; Salazar, R.A.; Muza, F.R.; Yan, B.; Schertz, K.F. Transcript processing internal to a mitochondrial open reading frame is correlated with fertility restoration in male-sterile sorghum. Plant J. 1996, 10, 123–133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Köhler, R.H.; Horn, R.; Lössl, A.; Zetsche, K. Cytoplasmic male sterility in sunflower is correlated with the co-transcription of a new open reading frame with the atpA gene. Mol. Gen. Genet. 1991, 227, 369–376. [Google Scholar] [CrossRef] [PubMed]
  45. Borgström, E.; Lundin, S.; Lundeberg, J. Large scale library generation for high throughput sequencing. PLoS One 2011, 6, e19119. [Google Scholar] [CrossRef]
  46. Antipov, D.; Korobeynikov, A.; McLean, J.S.; Pevzner, P.A. HYBRIDSPADES: An algorithm for hybrid assembly of short and long reads. Bioinformatics 2016, 32, 1009–1015. [Google Scholar] [CrossRef] [PubMed]
  47. Haas, B.J.; Salzberg, S.L.; Zhu, W.; Pertea, M.; Allen, J.E.; Orvis, J.; White, O.; Buell, C.R.; Wortman, J.R. Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments. Genome. Biol. 2008, 9, R7. [Google Scholar] [CrossRef]
  48. Lowe, T.M.; Eddy, S.R. tRNAscan-SE: A program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997, 25, 955–964. [Google Scholar] [CrossRef] [PubMed]
  49. Lagesen, K.; Hallin, P.; Rødland, E.A.; Stærfeldt, H.H.; Rognes, T.; Ussery, D.W. RNAmmer: Consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007, 35, 3100–3108. [Google Scholar] [CrossRef]
  50. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  51. Kanehisa, M.; Goto, S.; Kawashima, S.; Okuno, Y.; Hattori, M. The KEGG resource for deciphering the genome. Nucleic Acids Res. 2004, 32 (Suppl. 1), D277–D280. [Google Scholar] [CrossRef]
  52. Kanehisa, M. A database for post-genome analysis. Trends Genet. 1997, 13, 375. [Google Scholar] [CrossRef]
  53. Kanehisa, M.; Goto, S.; Hattori, M.; Aoki-Kinoshita, K.F.; Itoh, M.; Kawashima, S.; Katayama, T.; Araki, M.; Hirakawa, M. From genomics to chemical genomics: New developments in KEGG. Nucleic Acids Res. 2006, 34 (Suppl. 1), D354–D357. [Google Scholar] [CrossRef]
  54. Tatusov, R.L.; Koonin, E.V.; Lipman, D.J. A genomic perspective on protein families. Science 1997, 278, 631–637. [Google Scholar] [CrossRef] [PubMed]
  55. Tatusov, R.L.; Fedorova, N.D.; Jackson, J.D.; Jacobs, A.R.; Kiryutin, B.; Koonin, E.V.; Krylov, D.M.; Mazumder, R.; Mekhedov, S.L.; Nikolskaya, A.N.; et al. The COG database: An updated version includes eukaryotes. BMC Bioinform. 2003, 4, 41. [Google Scholar] [CrossRef] [PubMed]
  56. Magrane, M. UniProt Knowledgebase: A hub of integrated protein data. Database 2011, 9. [Google Scholar] [CrossRef]
  57. Ashburner, M.; Ball, C.A.; Blake, J.A.; Botstein, D.; Butler, H.; Cherry, J.M.; Davis, A.P.; Dolinski, K.; Dwight, S.S.; Eppig, J.T.; et al. Gene Ontology: Tool for the unification of biology. Nat. Genet. 2000, 25, 25–29. [Google Scholar] [CrossRef]
  58. Lohse, M.; Drechsel, O.; Bock, R. Organellar Genome DRAW (OGDRAW): A tool for the easy generation of high-quality custom graphical maps of plastid and mitochondrial genomes. Curr. Genet. 2007, 52, 267–274. [Google Scholar] [CrossRef] [PubMed]
Ijms 20 00578 g001 550
Figure 1. Mitochondrial genome maps of sterile line 138A and maintainer line 138B. (A) Mitochondrial genome map of 138A. (B) mitochondrial genome map of 138B. Genes with the names inside the circle are transcribed clockwise. Genes with names outside the circle are transcribed counterclockwise. The colors of the genes denote the functions of the gene products. Syntenic sequence blocks between genomes are depicted on the inner circles to separate blocks in different directions. In the center of the maps are the sterile flower of 138A and the normal fertile flower of 138B, respectively.
Figure 1. Mitochondrial genome maps of sterile line 138A and maintainer line 138B. (A) Mitochondrial genome map of 138A. (B) mitochondrial genome map of 138B. Genes with the names inside the circle are transcribed clockwise. Genes with names outside the circle are transcribed counterclockwise. The colors of the genes denote the functions of the gene products. Syntenic sequence blocks between genomes are depicted on the inner circles to separate blocks in different directions. In the center of the maps are the sterile flower of 138A and the normal fertile flower of 138B, respectively.
Ijms 20 00578 g001
Ijms 20 00578 g002 550
Figure 2. Mitochondrial genome syntenic sequence analysis. (A) Syntenic sequence analysis of 138A and 138B; (B) syntenic sequence analysis of 138A and FS4401; (C) syntenic sequence analysis of 138B and Jeju. The upper and lower bars in each figure represented the mitochondrial genomes. Dark-orange and blue regions in each bar represented the forward and reverse direction of the aligned genome, respectively. White regions in each bar represent the sequences that could not be aligned to the other genome. Lines between the two bars indicated the syntenic types and locations: magenta, blue-green, dark yellow, and light-green represent for collinear, translocation, inversion, and tran + inver, respectively.
Figure 2. Mitochondrial genome syntenic sequence analysis. (A) Syntenic sequence analysis of 138A and 138B; (B) syntenic sequence analysis of 138A and FS4401; (C) syntenic sequence analysis of 138B and Jeju. The upper and lower bars in each figure represented the mitochondrial genomes. Dark-orange and blue regions in each bar represented the forward and reverse direction of the aligned genome, respectively. White regions in each bar represent the sequences that could not be aligned to the other genome. Lines between the two bars indicated the syntenic types and locations: magenta, blue-green, dark yellow, and light-green represent for collinear, translocation, inversion, and tran + inver, respectively.
Ijms 20 00578 g002
Ijms 20 00578 g003 550
Figure 3. Structural variation map of mitochondrial genomes of 138A and 138B. The inner circle is the 138B genome, and the outer circle is the 138A genome. Collinear: the same linear region; Translocation: the area of translocation; Inversion: the area of inversion; Tran + Inver: the area of translocation and inversion; Insertion: the insertion region with a length greater than or equal to 50 bp; Deletion: the deletion region with length greater than or equal to 50 bp; Complex InDel: an area that cannot be compared, but corresponds to a position; Forward_chain: forward chain of the genome sequence, at which time the gene coordinates increase in a clockwise direction; Reverse_chain: the reverse chain of the genome sequence in which the genetic coordinates increase counterclockwise.
Figure 3. Structural variation map of mitochondrial genomes of 138A and 138B. The inner circle is the 138B genome, and the outer circle is the 138A genome. Collinear: the same linear region; Translocation: the area of translocation; Inversion: the area of inversion; Tran + Inver: the area of translocation and inversion; Insertion: the insertion region with a length greater than or equal to 50 bp; Deletion: the deletion region with length greater than or equal to 50 bp; Complex InDel: an area that cannot be compared, but corresponds to a position; Forward_chain: forward chain of the genome sequence, at which time the gene coordinates increase in a clockwise direction; Reverse_chain: the reverse chain of the genome sequence in which the genetic coordinates increase counterclockwise.
Ijms 20 00578 g003
Ijms 20 00578 g004 550
Figure 4. Chimeric structures, co-transcribe event, and transmembrane domain of the specific ORFs in 138A. (A–E): Locations and probabilities of the transmembrane domains of the gene products of orf300a (A); orf262a (B); orf157a (C); orf115b (D); and orf314a (E). (F) Co-transcribe structure of orf300a and sdh3; (G) chimeric structure of orf292a and rpl2-exon1, a long horizontal arrow shows orientation of transcription.
Figure 4. Chimeric structures, co-transcribe event, and transmembrane domain of the specific ORFs in 138A. (A–E): Locations and probabilities of the transmembrane domains of the gene products of orf300a (A); orf262a (B); orf157a (C); orf115b (D); and orf314a (E). (F) Co-transcribe structure of orf300a and sdh3; (G) chimeric structure of orf292a and rpl2-exon1, a long horizontal arrow shows orientation of transcription.
Ijms 20 00578 g004
Ijms 20 00578 g005 550
Figure 5. Results of PCR amplification. (A) Transcript detection of orf292a, co-transcript detection of orf300a-sdh3, transcript detection of orf300a; (B) CMS makers (orf456, orf507, cox2 SCAR, atp6 SCAR, accD-U SCAR, orf300a) test in 138A, 138B, 139C. (C) CMS maker orf300a tests in 43 pepper inbred lines, cox2 positive control.
Figure 5. Results of PCR amplification. (A) Transcript detection of orf292a, co-transcript detection of orf300a-sdh3, transcript detection of orf300a; (B) CMS makers (orf456, orf507, cox2 SCAR, atp6 SCAR, accD-U SCAR, orf300a) test in 138A, 138B, 139C. (C) CMS maker orf300a tests in 43 pepper inbred lines, cox2 positive control.
Ijms 20 00578 g005
Ijms 20 00578 g006 550
Figure 6. Transcriptional level of four 138A specific ORFs (orf262a, orf300a, orf157a, orf115b) in CMS line 138A and maintainer line 138B. Expression value the four ORFs in 138A was set as 1. UBI-3 was employed as the internal control. (A) and (B) represented lines 138A and 138B, respectively.
Figure 6. Transcriptional level of four 138A specific ORFs (orf262a, orf300a, orf157a, orf115b) in CMS line 138A and maintainer line 138B. Expression value the four ORFs in 138A was set as 1. UBI-3 was employed as the internal control. (A) and (B) represented lines 138A and 138B, respectively.
Ijms 20 00578 g006
Table
Table 1. Features of the candidate genes controlling the CMS.
Table 1. Features of the candidate genes controlling the CMS.
Features of the ORFORF ID
SNP/InDelorf229a, orf138a, orf337a, orf675a, orf249a, orf104c, orfB, orf25
On the unique regionorf108g, orf132a, orf314a, orf262a, orf165a, orf338a, orf244a, orf100b, orf300a, orf119a, orf100a
Chimeric structure/
co-transcription		orf292a, orf300a
Transmembrane domainorf300a, orf314a, orf157a, orf115b, orf262a

Share and Cite

MDPI and ACS Style

Wang, P.; Lu, Q.; Ai, Y.; Wang, Y.; Li, T.; Wu, L.; Liu, J.; Cheng, Q.; Sun, L.; Shen, H. Candidate Gene Selection for Cytoplasmic Male Sterility in Pepper (Capsicum annuum L.) through Whole Mitochondrial Genome Sequencing. Int. J. Mol. Sci. 2019, 20, 578. https://doi.org/10.3390/ijms20030578

AMA Style

Wang P, Lu Q, Ai Y, Wang Y, Li T, Wu L, Liu J, Cheng Q, Sun L, Shen H. Candidate Gene Selection for Cytoplasmic Male Sterility in Pepper (Capsicum annuum L.) through Whole Mitochondrial Genome Sequencing. International Journal of Molecular Sciences. 2019; 20(3):578. https://doi.org/10.3390/ijms20030578

Chicago/Turabian Style

Wang, Peng, Qiaohua Lu, Yixin Ai, Yihao Wang, Tiantian Li, Lang Wu, Jinqiu Liu, Qing Cheng, Liang Sun, and Huolin Shen. 2019. "Candidate Gene Selection for Cytoplasmic Male Sterility in Pepper (Capsicum annuum L.) through Whole Mitochondrial Genome Sequencing" International Journal of Molecular Sciences 20, no. 3: 578. https://doi.org/10.3390/ijms20030578

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