A large-scale population based organelle pan-genomes construction and phylogeny analysis reveal the genetic diversity and the evolutionary origins of chloroplast and mitochondrion in Brassica napus L.
BMC Genomics volume 23, Article number: 339 (2022)
Allotetraploid oilseed rape (Brassica napus L.) is an important worldwide oil-producing crop. The origin of rapeseed is still undetermined due to the lack of wild resources. Despite certain genetic architecture and phylogenetic studies have been done focus on large group of Brassica nuclear genomes, the organelle genomes information under global pattern is largely unknown, which provide unique material for phylogenetic studies of B. napus. Here, based on de novo assemblies of 1,579 B. napus accessions collected globally, we constructed the chloroplast and mitochondrial pan-genomes of B. napus, and investigated the genetic diversity, phylogenetic relationships of B. napus, B. rapa and B. oleracea.
Based on mitotype-specific markers and mitotype-variant ORFs, four main cytoplasmic haplotypes were identified in our groups corresponding the nap, pol, ole, and cam mitotypes, among which the structure of chloroplast genomes was more conserved without any rearrangement than mitochondrial genomes. A total of 2,092 variants were detected in chloroplast genomes, whereas only 326 in mitochondrial genomes, indicating that chloroplast genomes exhibited a higher level of single-base polymorphism than mitochondrial genomes. Based on whole-genome variants diversity analysis, eleven genetic difference regions among different cytoplasmic haplotypes were identified on chloroplast genomes. The phylogenetic tree incorporating accessions of the B. rapa, B. oleracea, natural and synthetic populations of B. napus revealed multiple origins of B. napus cytoplasm. The cam-type and pol-type were both derived from B. rapa, while the ole-type was originated from B. oleracea. Notably, the nap-type cytoplasm was identified in both the B. rapa population and the synthetic B. napus, suggesting that B. rapa might be the maternal ancestor of nap-type B. napus.
The phylogenetic results provide novel insights into the organelle genomic evolution of Brassica species. The natural rapeseeds contained at least four cytoplastic haplotypes, of which the predominant nap-type might be originated from B. rapa. Besides, the organelle pan-genomes and the overall variation data offered useful resources for analysis of cytoplasmic inheritance related agronomical important traits of rapeseed, which can substantially facilitate the cultivation and improvement of rapeseed varieties.
Rapeseed is one of the most important oilseed crops in the world, which is also utilized as protein feed and a source of industrial raw materials . It is an allopolyploid species (AACC, 2n = 38) that originated from the hybridization of Brassica rapa (AA, 2n = 20) and Brassica oleracea (CC, 2n = 18) approximately 7,500 years ago [2,3,4] and was first cultivated in Europe . Despite its relatively shorter domestication history compared to those of other crop plants, such as rice (Oryza sativa)  and soybean (Glycine max) , rapeseed has adapted to different eco-environmental conditions and was domesticated into three distinct ecotype groups, namely winter, semi-winter, and spring types, based on growth and flowering characteristics [8,9,10]. The vernalization times of winter and semi-winter rapeseed are more than one month and 15–20 days, respectively, whereas spring rapeseed does not require vernalization.
Large-scale genome sequencing projects have been performed to better understand the evolutionary and mechanism of rapeseed phenotypic diversity formation, since high-quality B. napus genomes facilitate the genome-wide sequences comparison among a wide range of diverse materials [3, 11,12,13,14]. By resequencing 991 germplasm resources collected from worldwide 39 countries, the global pattern of genetic polymorphism in rapeseed was determined which ulteriorly revealed the pathways of population splits and mixtures and uncovered the genetic basis of ecotype divergence . Another resequencing project of 588 B. napus accessions revealed that winter oilseed may be the original form of B. napus, and identified genetic loci associated with stress tolerance, oil content, seed quality, and ecotype improvement by integrating genome-wide association studies, selection signals, and transcriptome analysis . Based on a collection of 1,688 rapeseed resequencing data, a genomic platform composed of multi-omics data and common bioinformatics tools, the BnPIR database was constructed, which contains gene information, phylogenetic relationship, expression data and presence/absence variations (PAVs) information . Population resequencing strategy is especially efficient for delving phylogenetic, phylogeography, and population genetics information.
Extensive resequencing studies have been conducted on the rapeseed genome. However, scarce research has been focused on organelle genomes, which are also important components of genetic information. The chloroplast (cp) and mitochondrial (mt) genomes of land plants contain a circular molecule of DNA with a relatively small genome size respectively: the size of the chloroplast genomes ranges between 115 and 165 kb , and the mitochondrial genomes have fluctuant size of approximately 200 kb–2 Mb . Cytoplasmic inheritance was found to significantly contribute to the formation of most agronomical important traits of crops, such as yield, low-temperature tolerance, grain weight, filled-grain ratio, and milling quality traits in indica rice [19,20,21], plant height in maize , seed protein content in soybean [23, 24], and oil content in rapeseed [25,26,27]. Up to now, bits of organellar genes have been proved to be phenotypically important. For instance, the mitochondria-encoded orf188 was identified as a potential rapeseed oil content determinated gene in our previous study , but the genetic mechanisms of cytoplasmic activities determining agronomic traits have not been fully explored. In addition, the key structural and functional component-encoding genes [29,30,31] are crucial to a better understanding of the mechanisms of evolutionary divergence [32,33,34,35,36]. Evolutionary studies have been conducted on mt and cp genomes using contemporary, highly effective extraction and assembly methods to obtain plastid and mt genomes , which have provided deeper research insights into the genetics of B. napus [38,39,40,41,42]. However, most investigations have been focused on establishing the relationships among different species or varieties based on the collection of a small number of germplasms. Recently, population-based organelle genome studies with a large number of accessions have been conducted in crops. Based on 412 rice cp and mt genomes analysis, indica and japonica were found to have experienced different domestication processes [43, 44]. The organellar phylogenies were combined with nuclear for B. napus and its progenitors, contributing to reveal varying patterns of inheritance and post-formation introgression . However, the genetic diversity, population structure and genetic basis of agronomic characters for global rapeseed organellar genomes have not been deeply analyzed.
In this study, we developed an organellar genome dataset and performed a comprehensive study of a large number of diverse accessions: 1,579 natural [4, 15] and 31 synthetic B. napus , 199 B. rapa, and 119 B. Oleracea . The organelle genome sequencing reads were extracted out and assembled for each accession. All cyclic assemblies were next merged to construct the organellar pan-genome and the allelic variant dataset. Our analysis was focused on the phylogenetic relationships, population structure, and genetic diversity, especially concerning the divergence of different cytoplasmic groups, which provided new organelle genomic evidence on rapeseed origin and evolution. Additionally, these allelic variations supplied comprehensive information that could serve as the basis for follow-up studies on cytoplasmic effect-affected crop agronomic traits. Moreover, our findings facilitate the acceleration of the process of organelle genome-assisted breeding in the near future.
Rapeseed organellar genomes (cp and mt) assembly and annotation
The genome sequencing data of 1,579 rapeseed accessions from all major production countries were obtained from the NCBI database under SRP155312  and PRJNA358784 . After quality checking and trimming for low-quality regions from two ends of reads, we first mapped clean data to a mitochondrial genome sequence cluster consisting of 35 mt genomes, and a chloroplast genome sequence cluster consisting of 42 cp genomes respectively. Both of the two data sets contained six Brassica species (Table S1). The mapped paired-end reads were extracted and de novo assembled for the cp and mt genomes by NOVOPlasty  and ARC software (http://ibest.github.io/ARC/), respectively. The extracted data sizes of the samples differed (from 20 to 400 Mb in mt and from 11 Mb to 1.8 Gb in cp), but all reached high average coverage (> 100 ×).
The organellar genomes (cpDNA and mtDNA) were subsequently assembled individually for each accession. A total of 1,327 cpDNA and 1,456 mtDNA were assembled into single circular-mapping molecules and were considered in the downstream analysis. The relatively concentrated size of the cp genomes was 153 kb, whereas the sizes of the mt genomes ranged from 219 to 226 kb (Fig. 1A,B). The main G + C content of the cp and mt genomes was approximately 36.3% and 45.2%, correspondingly (Fig. 1C,D). Of all assembled sequences, 47 cpDNAs and 225 mtDNAs contained gap filling base “N”, whose lengths ranged from 1 to 770 bp.
The assembled genomes were annotated with GeSeq  using a reference consisting of gene sets obtained from known Brassica species, genomes of which were also used as the reference in the aforementioned mapping. After removing the duplications, the cp reference gene set contained 79 protein-coding genes, 2 function-unknown open reading frame (ORFs), 4 rRNAs, and 21 tRNAs. The mt reference gene set included 35 protein-coding genes, 3 rRNAs, 17 tRNAs, and 80 ORFs, 33 of which corresponded eight homologous groups were not possessed consistently by different mitotypes .
Reference genes were all detected in each of the 1,327 assembled rapeseed cpDNAs. Due to the existence of multiple copies of several genes, there were 87 locus corresponding 79 protein-coding genes were identified in 99% of the accessions, 8 rRNAs locus (double copies for all 4 rRNAs) were identified in all samples and 37 tRNAs were identified in 99% of the accessions. Of all predicted chloroplast genes, 95% genes had more than 98% similarity with the reference genes.
Similar to the cp, the mt genes were also highly conserved. Each of the assembled genome was predicted to contained all the reference genes except for mitotype-specific ORFs (35 protein-coding genes, 3 rRNAs, 17 tRNAs, and 47 ORFs). And the gene sequences were in high degree of similarity with the reference gene sequence. Among all predictions, 99% genes showed 98% coverage, and 93% genes showed 98% identity. In the subsequent analysis, we excluded the abnormal accessions whose 10% of the genes aligned less than 80% bases with reference, which was far lower than other samples.
As described above, all accessions were predicted to contain all the reference genes, indicated the completeness of the assemblies in terms of gene content. To evaluate the quality of the genome assembly further, we first conducted a comparison analysis of organelle genomes with the public Brassica species. The assembled organelle genomes were mapped by BLASTN  with a filter criteria of identity > 0.9, and only the subject with optimal alignment for each sample was retained. The homology sequences between the assemblies and the corresponding mapped subjects were more than 97.5% (all queries and subjects had > 97.5% coverage), suggesting the current assembly was completed. Additionally, we mapped reads used for assembly back to the assembled single circular sequence for each accession. The coverage and depth were measured based on exactly matched reads, which meant that reads with mismatch, deletion, insertion, and soft or hard clipping were all filtered out. 97.7% of the assemblies were covered by at least 150 × reads along the whole genome, and the curve graph of the mapping depth along genome body was roughly steady (Figure S1, S2), which guaranteed the high level of accuracy of the assembly at the single-nucleotide level. Moreover, to evaluate whether there were structural errors in our assemblies, we detected the continuity of reads mapping start sites on genome. Gap was defined here as > = 150 bp without any read mapping start site. If any gap is detected, there may be breakpoints because most reads have a length of 150 bp and the sequence depth is greater than 100x. We found that no gap was detected in 80% of the assemblies (without sequence with ‘N’). The results showed that more than 80% of the accessions were assembled with high quality at the structural level for unique genome regions, which further confirmed the high-quality assembly of the Brassica napus organelle genome sequences.
Construction of B. napus organelle pan-genome
We constructed the organellar pan-genome of B. napus using a reference-based assembly approach (Additional File 1). Organelle genomes of R4834 were taken as mt and cp draft genomes because of their largest number of alignments with other accessions. Variants calling was performed using local Perl script based on the whole genome alignments of assembled B. napus cp and mt with the reference. The draft genome was edited by inserting the insertion fragments (> 10 bp) and was supplemented by adding unanchored fragments (> 100 bp) which were supported by at least two accessions.
The alignment results showed high structural stability of the cp genome with nearly no recombination sequences. The cp pan-genome was a 153,797 bp circular molecule, which was composed of a large and a small single-copy (LSC and SSC) region between two reverse repeats. We identified a total of 87 proteins, 3 ORFs with unknown functions, 8 ribosomal RNAs, and 37 tRNA sequences (Fig. 2A), accounting for approximately 49% of the genome.
The total size of the mt pan-genome was 231,901 bp, which was composed of a 222,076-bp circular molecule and 5 dispensable scaffolds with an average length of 1,965 bp (Fig. 2B). A total of 35 protein-coding genes, 3 rRNAs, 18 tRNAs, and 62 ORFs were annotated, accounting for 28% of the genome sequence. Of them, 15 ORFs were mitosis-specific, including the CMS-related gene orf224 .
The presence-absence variation (PAV) of organellar genes is an important genetic factor affecting organelle inheritance agronomic traits. Here, the whole-genome assembly and gene annotation provided information for the PAV analysis of whole-worldwide B. napus organellar genomes. We defined the criteria of gene presence-absence as a 60% cut-off threshold value for coverage and 85% for identity with the reference. All the protein-encoding cp genes were core, in which only one gene ycf2 was discordant for an additional copy in only one accession (Table S2). All four species of the ribosome genes appeared twice in 1,327 accessions, but 3 of the 25 species of tRNAs had different copy numbers in the population, and all were different in a few samples (< 1%). In general, all cp genes were found in 1,327 accessions, but only four of them had different copies in a small number of accessions.
Without regarding to the mitotype-specific ORFs in the mt genomes, none was missing in any assembled accessions, and only 3 ORFs (orf108a, orf115c and orf131) and 1 tRNA (trmH) were found to have different copy numbers in less than 1% accessions (Table S3). As a summary of the above information, all protein-coding genes of the mt genome were core, and 4 were differed in the copy number.
Identification of the cytoplasm haplotype
The cp genomes are known to be highly conserved, whereas extensive recombination and sequence gain and loss, induced by rearrangement, are observed in mt genomes [49, 53, 54]. Therefore, the sequence variants in mt genomes account for the majority of cytoplasm-specific sequences. To distinguish the cytoplasmic types of all assembled accessions, 12 mitotype-specific markers (genome-specific sequences, > 100 bp) developed by Heng et al.  and 34 homologous ORFs  which is not consistent in six Brassica mitotypes were used for searching in each mt genome. We defined the cytoplasmic type for the sample that completely conformed to the relationship between mitochondrial type and MSSs/ORFs. Samples that met the corresponding conditions of mixed MSSs and ORFs were defined as the "like" type based on structural comparison.
Four major types of mitotypes were detected in the 1,456 assembled accessions. There were 1,215 cases of nap cytoplasm, 170 cases of cam cytoplasm, 53 cases of pol cytoplasm, and the remaining 18 cases of ole cytoplasm (Table 1, Supplementary Table S4). The nap-type accessions accounted for 83% of the group, indicating that nap mitotype was predominant in natural B. napus . Accessions with same cytoplasm type exhibited consistent organelle genome structure supported by Mugsy  alignments. To check the structural characterization of organelle genomes, four cp and four mt genomes from different cytoplasms were selected to construct multiple genome alignments and identify large-scale rearrangements by Mauve (http://darlinglab.org/mauve/mauve.html) (Figure S3). The cp genomes from different cytoplasms showed collinearity for the whole genome. However, the four mt genome mitotypes had rearrangements. The cam and pol were found to be completely collinear as they shared all same collinear blocks in a consistent order and direction, but at least three recombination events had occurred between any other two mt genomes.
To explore whether a certain correlation or bias existed between ecotypes and mitotypes, we separately established the distribution of different cytoplasms in three ecotypes and that of different ecotypes in four cytoplasms (Figure S4). No significant differences were observed in the distribution of cytoplasms among the three ecotypes, which was similar to the overall distribution, with the exception of 28% of the cam type in the spring group, which was less than 10% in the other three groups. However, the ratio of the three ecotypes in different cytoplasmic types showed inconformity. The pol-type accessions were mainly semi-winter (83.63%), and only two ecotypes (61.11% of the winter and 35% of the semi-winter ecotype) were detected in the ole accessions. The numbers of three ecotypes in cam were approximate. The ratio of the semi-winter, spring, and winter ecotypes in the nap accessions was 2:1:4.
Genome-wide cytoplasmic variations in Brassica
A total of 4,115 and 450 primary variants were detected in assembled cp and mt genomes, respectively. After removing single sample-specific variants, 2,092 high-quality variants were obtained from the cp genomes, including 1,660 SNPs (79.35%) and 433 small InDels (20.65%). Additionally, 254 SNPs (77.91%) and 72 small InDels (22.09%) were identified in the mt genomes, reaching a density of 13 and 1.5 variants per kb in the cp and mt genomes, correspondingly (Table 2). In the whole population, the number of SNPs and small InDels detected in cpDNAs were much higher than that detected in mtDNAs, but the number in each subgroup was lower in cpDNAs, indicating that SNP/small InDels between different cytoplasm were more abundant in cp than in mt, whereas no structural variations were detected in cpDNAs.
The cp variants were evenly distributed along the reference genome, except for two inverted-repeat regions, whose reads were skipped due to multiple alignments (Fig. 2). Of the overall 1,327 cp variants, 53% were located in upstream/downstream regions, 11% were in introns, and 31% of the variants were found in coding regions, of which 43% were predicted to be non-synonymous or frameshift (Table 3, Table S5), resulting in a potentially different functional protein encoding. The distribution of the variants along the genome was consistent with the overall distribution of the four cytoplasm types.
The mt variants were scattered throughout the whole reference genome but were enriched (P-value < 0.0001, phyper test) in the coding region. Of note, 45% of the variants were located in the coding region, which constituted a much higher frequency than the 28% of the genome sequences in all coding areas. Of the variants in the coding region, 58% were predicted to be functionally affected (Table S5). The ratio of cp variants detected in four cytoplasm types were not similar to that of mt genomes. Additionally, inconsistent transition/transversion (Ts/Tv) ratio was also observed (Table 2). The proportion of four mitotypes was approximate 1 in the mt genomes, whereas range from 0.29 to 0.78 in the cp genomes, suggestint the Ts/Tv proportion in cpDNA was lower than that in mtDNA. There were four common cp SNPs and 57 common mt SNPs in the four subgroups (nap, pol, cam, and ole mitotypes). Except for pol, most the cp variants of each genotype were specific, whereas only a small proportion of the mt variants were specific (Figure S5).
Diversity analysis of cytoplasmic genomes
Nucleotide diversity (π) and fixation index (Fst) analyses were conducted for both the cp and mt genomes based on whole-genome variants. We found that each of the subgroups in the cp and mt genomes had similar and small mean nucleotide diversity. The highest diversity was 7.77 × 10–5 in pol of the mt genome, the lowest was 1.76 × 10–5 in nap of the cp genome (Fig. 3A,B). However, it was higher among all accessions, as the nucleotide diversity of the whole assembled cpDNA and mtDNA was 6.68 × 10–4 and 1.63 × 10–4, respectively. On the other hand, except group cam and pol, the genetic distance (Fst) between each two populations in the cp genome ranged from 0.810 to 0.916 and in the mt genome from 0.440 to 0.630 (Fig. 3A,B), showing a high degree of differentiation among these four cytoplasmic groups, which was more intuitively displayed in the PCA plot (Fig. 4A,D). The differentiation degree between cam and pol was lower than those between other groups in both mt and cp, indicating a close evolutionary origin.
The cp genomes exhibited smaller intra-group nucleotide diversity than those of the mt ones but had greater inter-group differences, implying that the differences in the cp genomes among different cytoplasmic types were reflected in single-base polymorphism, while a conservative genome structure was maintained, which was different from the mitochondrial genome.
The diversity along the organellar genomes in the four cytoplasm types (nap, cam, pol, and ole) was estimated based on 500-bp sliding windows and a 100-bp step size. Consistent results (P > 0.05 in t-test) between the subgroups were observed in the mt genomes, but significant differences existed in the cp genomes (P < 0.01 in t-test) (Fig. 3C,D). Several regions had higher polymorphism between two of the four subgroups. To detect those genomic regions, we calculated the reduction of diversity (ROD)  values based on the nucleotide diversity ratio of the whole group to nap, cam, pol, and ole using 500-bp windows (Supplementary Table S6). The regions with the top 1% ROD values were excluded. Continuous windows were then merged into 11 regions (Table 4).
Genetic structure and phylogenetic relationship
To investigate the genetic structure and phylogenetic relationship between the B. napus, their diploid progenitors, and synthetic rapeseed organellar genomes, SNPs for 199 B. rapa and 119 B. oleracea accessions , together with 31 synthetic B. napus accessions  (11 accessions were from unpublished sequencing data) were detected by mapping reads to B. napus organellar pan-genomes. Next, we performed principal component analysis (PCA) as well as phylogenetic tree and population structure analyses after filtering sites with a minor allele frequency (MAF) < 0.02 in B. napus, but with a MAF < 0.005 in three species for preservation of the species-specific loci. Based on the PCA and maximum likelihood (ML) tree results, we founded that Brassica accessions with same cytoplasm types organelle genomes were clustered together and possessed nearly identical evolutionary positions in both the cpDNA- and mtDNA-derived trees but were not related to the ecotypes that were affected mainly by the differences in the climate zones and latitudes (Supplementary Figure S6). The correlation coefficient of cpDNA- and mtDNA-derived PC1 was 0.96 (Supplementary Figure S7), indicating that the cp and mt genomes in natural populations of B. napus evolved concurrently, as the PC1 variance proportion was 85.76% for cpDNA, and 51.76% for mtDNA.
The optimal number of population clusters of B. napus accessions was identified as K = 2 based on the results of its population structure which distinguish the nap and the other mitotype clusters (Supplementary Figure S8). However, in the PCA plot, the B. napus accessions further clustered into four groups by PC1 and PC2 (Fig. 4A,D), which exactly corresponded to the nap, cam, pol, and ole mitotypes. The nap and cam subgroups were in proximity at PC1 level in the cp PCA plot.
To investigate the domestication history of different cytoplasm types both within and between the three Brassica species, we constructed a tree incorporating accessions of the B. rapa, B. oleracea, synthetic and natural populations of B. napus. The mt and the cp trees showed similar population structures. The B. napus accessions diverged into three clades, revealing the multiply origin of B. napus (Fig. 4B,C). In a previous study, a few B. napus accessions were grouped with the majority of B. rapa . Consistently, here, almost all B. rapa accessions were grouped closest to cam and followed by pol of B. napus, suggesting that the cam and pol cytoplasms of B. napus might be evolved from the ancestor of B. rapa. In addition, all the B. oleracea accessions were clustered in the ole clade, suggesting another independent cytoplasm originated from B. oleracea (Fig. 4B,C). The materials of the nap mitotype, predominant in natural B. napus, were not grouped together with the cluster of B. rapa or B. oleracea accessions. However, there was one B. rapa accession (SamA_055, ssp. pekinensis) and two synthetic B. napus accessions (ERR479628 and ERR479646), whose female parent were from B. rapa ssp. oleifera 4 × and B. rapa ssp. rapa, respectively, were clustered into the nap clade, while the other synthetic accessions, whose female parent was B. rapa, were clustered into the cam clade and the accessions, whose female parent was from B. oleracea, were clustered into the ole clade. Meanwhile, these three accessions were detected as nap cytoplasm based on MSS mapping, which supported the cluster assessment results. The aforementioned information indicated that the nap cytoplasm might have evolved from that of B. rapa, which had been considered controversial and ambiguous in past studies. To investigate the phylogenetic relationship more clear among different types of cytoplasm, we selected a small amount of representative accessions from each clade and constructed the phylogenetic tree (Figure S9).
MSS markers and mitotype-specific homologous ORFs detection was effective means for identification of cytoplasm type. In this study. we identified four cytoplasm types in 1,456 world-wide B. napus accessions, in which 18 accessions were classified as ole, whose genomes contained identical MSSs and ORFs but lacking double copies for genes specified in ole-type . The ole-type (JF920286) mt genome was reported to be the largest in Brassicaceae species due to the duplication of a 141.8-kb segment , which resulted in different gene numbers of 18 ORFs. However, B. oleracea mt genomes were different due to structure variable and the 141.8 kb segment was not necessarily repetitive just like B. oleracea var. Botrytis . As repeats were more susceptible to errors during the assembly, we used read mapping analysis to examine whether the absence of the 141.8-kb duplication was caused by an assembly defect in the 18 ole-type accessions. Reads used for assembly in each accession were mapped to the corresponding assemblies and the depth along reference was detected after removing the duplicates. The genomic depth curve of 18 ole accessions had uniform distribution along the whole genome, except for several small regions (< 3 kb) exhibiting significant higher depth, which were validated as homologous sequences of the cp genome, and two mitotype-specific regions were uncovered. Consistently with the other three groups (Supplementary Figure S1, S2), no long segment (> 10 kb) had a double coverage depth, revealing that mt genomes of ole-type in B. napus does not contain the repetitive 141.8-kb sequence.
We also detected the mitotypes for the accessions that were not assembled into a single and circular molecule by mapping MSSs to contigs. A few accessions were identified to possess infrequent mitotypes. For example, R4699  had the hau cytoplasm, and other two genomes (R4580, R5025 [4, 15]) had the ogu cytoplasm. The identification of the cytoplasm type can be valuable for extensive application of CMS lines in heterosis-promoting hybrid breeding.
The origin and improvement processes of rapeseed remain unclear and confused despite extensive research has been done as no truly wild B. napus populations are known. B. napus was formed by hybridization of B. rapa and B. oleracea, in which the A subgenome was presumed to originated from European turnip, and C subgenome was still undetermined . Recently, organellar resequnencing and analysis have been taken to investigate the original maternal progenitors of B. napus. In previous studies of organellar genomes of B. napus, the origin of the cam-type and pol-type were consistently considered to directly inherited from B. rapa, but nap-type was controversial and unascertained. It was supposed to have originated from B. oleracea as the nap-type is tightly clustered with a botrytis-type cauliflower B. oleracea in the phylogenetic tree . Similarly, certain sparse C-genome wild species were speculated to have primarily contributed the nap-type cytoplasm and be the corresponding C subgenome to B. napus as the cluster of nap is inserted in the middle of a C-genome clade . It was also supposed in our study that the nap-type was closest to ole-type in mtDNA-based phylogeny (Figure S9). Moreover, the nap-type B. napus was further considered to have been derived from an unidentified or lost mitotype of B. rapa because of its rich germplasm and mt genome evolution . Based on a combination of chloroplast and nuclear genetic markers, the most prevalent chloroplast haplotype was found at low frequencies in B. rapa but was not present within the C genome accessions (wild and cultivated B. oleracea L. and related species) , which was the consistent discovery in our organelle resequncing project. In this study, we collected samples of large populations of B. napus and its two progenitor species (B. rapa and B. oleracea). Using MSS sequences detection and phylogenetic analysis, the predominant nap-type was detected in a small number of B. rapa and the synthetic B. napus, whose female parent was B. rapa for the first time. Thus, we speculated that the nap-type B. napus had been derived from an infrequent mitotype of B. rapa with direct evidence. Additionally, the presence of 53 ole-types in the B. napus population indicated that there also were germplasms at low frequencies whose maternal ancestor was C genome species in natural rapeseed.
The organelle genomes are important for formation of cytoplasmic inheritance related agronomical traits and are effective means to investigate the maternal origins of rapeseed. In this study, the chloroplast and mitochondrial pan-genomes of rapeseed based on B. napus accessions collected globally was constructed and the genome-wide variances and diversity were identified, which provide materials for Brassica breeding by studying of cytoplasmic inheritance related traits and provide information to understanding the overall polymorphism of rapeseed organelle genomes. The phylogenetic tree derived of the B. rapa, B. oleracea, natural and synthetic populations of B. napus revealed the origins of different B. napus cytoplasm haplotypes. The identification of the nap-type in both the B. rapa population and the synthetic B. napus whose female parent was B. rapa, offered novel argument suggesting that B. rapa might be the maternal ancestor of nap-type B. napus. The cytoplasmic haplotypes identification and phylogeny provide novel insights into the organelle genomic evolution of B. napus.
Materials and methods
Samples and resequencing
A total of 1,579 rapeseed accessions originated from two published studies were used for constructing organelle pan-genomes and genetic diversity analysis in our research, of which a worldwide set of 991 germplasm accessions including 3 ecotypes (658 winter, 145 semi-winter, and 188 spring) from 39 countries were collected by the Leibniz Institute of Plant Genetics and Crop Plant Research (https://gbis.ipk-gatersleben.de/gbis2i/faces/index.jsf) in Gatersleben, Germany, and the Provincial Key Laboratory of Crop Gene Resources of Zhejiang University . Another diversity panel comprised by 588 B. napus accessions (74 winter, 428 semi-winter, and 86 spring) includes 466 from Asia, 102 from Europe, 13 from North America, and 7 from Australia . In addition, 31 synthetic B. napus, 199 B. rapa, and 119 B. oleracea accessions were also taken into the investigation of the phylogenetic relationships of B. napus, B. rapa and B. oleracea. The 199 B. rapa and 119 B. oleracea accessions were from Plant breeding germplasm, Company and Genebank . The synthetic accessions were developed by interspecific hybridizations between highly diverse parental origins, in which 20 accessions were conducted by Schmutzer T, et al.  and another 11 accession were sequenced by Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs. Whole-genome DNA of all accessions was extracted from leaves and sequenced using next generation sequencing (NGS) technologies by abovementioned public studies. Detailed information of all the accessions is listed in Supplementary Table 7–9.
Pan-genome assembly and annotation
The quality of the raw reads was checked and the low-quality regions were trimmed from leading and trailing side of reads by Trimmomatic (version 0.36, LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:120) . Then, clean reads were mapped to a mitochondrial genome sequence cluster and a chloroplast genome sequence cluster respectively using BWA  of the Sentieon DNASeq software . Both of the two data set contained the six Brassica species that comprising the Triangle of U  (Table S1). The alignment files were used for mapped paired-end reads extraction and de novo assembly. The cp genomes were assembled using the NOVOPlasty version3.3  with a kmer value of 39 for the cp genomes and the mt genomes were assembled using ARC v1.1.4-beta (http://ibest.github.io/ARC/). The contigs assembled by ARC were first filtered with coverage > 30 and connected to single molecules by a local Perl script based on BLAST alignments.
The quality of the organelle genome assembly were evaluated based on gene and genome level, genes annotation revealed the completeness of the assemblies in terms of gene content. we then performed genome comparative analysis and pair-end reads mapping assessment. The assembled genomes were mapped to the aforementioned reference (public Brassica species organelle genome sequences) using BLASTN. Alignment with identity less than 90% was filtered and only subject with optimal alignment for each sample was retained. The high similarity between assembled genomes and corresponding reference genome revealed the completeness of the assembly. Pair-end reads used for assembly were mapped back to the assembled genomes using BWA  of the Sentieon DNASeq software . After filtered reads with mismatch, deletion, insertion, and soft or hard clipping, we assessed the accuracy of the assembly by measuring the coverage and depth and detected whether there were breakpoints across whole genome.
The cp and mt pan-genomes were constructed based on the whole-genome alignment of all samples. First, all assembled genomes were aligned with each other by BLASTN (version 2.7.1 +)  (-E 1e-30), and the genome that had the largest number of high-quality alignments with other samples was chosen as a reference. All other assemblies were mapped to the chosen reference using Mugsy v1r2.3 . Based on the Mugsy alignments, we detected the insertion fragments (> 10 bp) and the unanchored fragments (> 100 bp) using a local Perl script. The draft genome was edited by inserting the insertion fragments and was supplemented by unanchored fragments which were detected by at least two accessions.
To explore the gene and PAV information of the B. napus accessions, GeSeq  (search identity 85) was employed to annotate the organellar pan-genome and the genomes of all assembled samples using a gene set from the aforementioned Brassica species as a reference. The predicted fragmented genes with coverage or identity less than 60 were excluded. The genome maps were drawn using OGDRAW  and Circos v0.69–9 (http://circos.ca/).
Identification of mitotypes
Twelve MSS markers developed by Heng et al.  and 34 homologous ORFs  inconsistent in six Brassica mitotypes were selected to differentiate the mitotypes of all assembled accessions. We searched the sequence of each of the MSS markers against genome assemblies through BLASTN . Meanwhile, we searched the sequences against published genomes whose mitotypes were known and determined the filter threshold for each MSS, resulted a similarity threshold of 90% for MSS4, 85% for MSS9 and 80% for others. Along with the PAV information of the 34 homologous ORFs, data of associations between the accessions and the cytoplasmic fragments/ORFs were generated, and the mitotypes of the accessions with consistent corresponding relation were determined.
The reads used for assembling were initially mapped to the assembled genomes for each sample, reads without any mismatch were selected and mapped to the organellar pan-genome. For accessions whose mt genomes were not assembled into single molecules, the reads were filtered by mapping to assembled contigs that were linked to the genomes of Brassicaceae. Bam files after removing the duplicates were taken into variant calling process using Haplotyper from Sentieon DNASeq  with options –emit_conf = 20, –call_conf = 20. Variants from B. rapa, B. oleracea, B. napus synthetic and natural groups were merged using bcftools v1.3.1 . To decide the genotypes of all undetected loci for each sample, we performed haplotype-aware consequence calling using samtools v1.3.1  and bcftools, and the genotype was set as N for loci in samples with low depth (depth < = 30) and quality (Q < 20).
Phylogenetic inference and population structure
SNPs with a minor allele frequency greater than 5% and less than 20% missing data were screened out for population structure and phylogenetic inference study. The maximum likelihood (ML) trees were constructed using IQ-TREE v1.6.12 . A best best-fit model determined by ModelFinder  and specifying 1000 replicates was selected for the ultrafast bootstrap. The trees were displayed by an online tool Interactive tree of life (iTOL) v3 (https://itol.embl.de) . Principal component analysis (PCA) among B. napus accessions and estimation of Fst were conducted by GCTA v1.25 . The population structure was inferred by STRUCTURE v2.3.4  which implements a model-based clustering method. Plots were generated with R package ggplot2 (https://cran.r-project.org/web/packages/ggplot2/index.html).
Nucleotide diversity (π) and population fixation statistics (Fst) across three genetic clusters were calculated by vcftools v0.1.13 (https://vcftools.github.io) using a 500-bp sliding window with a 100-bp step. The reduction of diversity (ROD)  values based on nucleotide diversity ratio between nap, cam and pol were calculated to detect the differentiation regions of pairwise genomes.
Availability of data and materials
The raw genome sequences of 1,579 natural Brassica napus can be found in GenBank under SRP155312, PRJNA358784 and PRJNA430009. The raw sequencing data of 20 synthetic B. napus accessions can be found in European Nucleotide Archive (https://www.ebi.ac.uk/ena/browser/home) under the project numbers PRJEB5974 and PRJEB6069. The raw sequences of B. rapa and B. oleracea can be found in the NCBI database under BioProject accession PRJNA312457. The obtained published cp and mt genomes of six Brassica species used for organellar genomes reads extracting were listed in Supplementary Table S1. The datasets of Brassica chloroplast and mitochondrial genome sequences generated during the current study are available at Mendeley Data (https://doi.org/10.17632/9g7kxvgnyr.1).
Principal component analysis
Minor allele frequencies
Allender CJ, King GJ. Origins of the amphiploid species Brassica napus L. investigated by chloroplast and nuclear molecular markers. BMC Plant Biol. 2010;10:54.
Nagaharu U. Genome analysis in Brassica with special reference to the experimental formation of B. napus and peculiar mode of fertilization. Jpn J Bot. 1935;7:389–452.
Chalhoub B, Denoeud F, Liu S, Parkin IA, Tang H, Wang X, et al. Plant genetics. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science. 2014;345:950–3.
Lu K, Wei L, Li X, Wang Y, Wu J, Liu M, et al. Whole-genome resequencing reveals Brassica napus origin and genetic loci involved in its improvement. Nat Commun. 2019;10:1154.
Schmidt R, van Bancroft I. Genetics and Genomics of the Brassicaceae. New York: Springer; 2011. p. 585–96.
Xu X, Liu X, Ge S, Jensen JD, Hu F, Li X, et al. Resequencing 50 accessions of cultivated and wild rice yields markers for identifying agronomically important genes. Nat Biotechnol. 2011;30:105–11.
Zhou Z, Jiang Y, Wang Z, Gou Z, Lyu J, Li W, et al. Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean. Nat Biotechnol. 2015;33:408–14.
Becker HC, Engqvist GM, Karlsson B. Comparison of rapeseed cultivars and resynthesized lines based on allozyme and RFLP markers. Theor Appl Genet. 1995;91:62–7.
Chen S, Nelson MN, Ghamkhar K, Fu T, Cowling WA. Divergent patterns of allelic diversity from similar origins: the case of oilseed rape (Brassica napus L.) in China and Australia. Genome. 2008;51:1–10.
Qian W, Sass O, Meng J, Li M, Frauen M, Jung C. Heterotic patterns in rapeseed (Brassica napus L.): I. Crosses between spring and Chinese semi-winter lines. Theor Appl Genet. 2007;115:27–34.
Sun F, Fan G, Hu Q, Zhou Y, Guan M, Tong C, et al. The high-quality genome of Brassica napus cultivar “ZS11” reveals the introgression history in semi-winter morphotype. Plant J. 2017;92:452–68.
Song JM, Guan Z, Hu J, Guo C, Yang Z, Wang S, et al. Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus. Nat Plants. 2020;6:34–45.
Chen X, Tong C, Zhang X, Song A, Hu M, Dong W, et al. A high-quality Brassica napus genome reveals expansion of transposable elements, subgenome evolution and disease resistance. Plant Biotechnol J. 2021;19:615–30.
Zou J, Mao L, Qiu J, Wang M, Jia L, Wu D, et al. Genome-wide selection footprints and deleterious variations in young Asian allotetraploid rapeseed. Plant Biotechnol J. 2019;17:1998–2010.
Wu D, Liang Z, Yan T, Xu Y, Xuan L, Tang J, et al. Whole-genome resequencing of a worldwide collection of rapeseed accessions reveals the genetic basis of ecotype divergence. Mol Plant. 2019;12:30–43.
Song JM, Liu DX, Xie WZ, Yang Z, Guo L, Liu K, et al. BnPIR: Brassica napus pan-genome information resource for 1689 accessions. Plant Biotechnol J. 2021;19:412–4.
Wicke S, Schneeweiss GM, dePamphilis CW, Müller KF, Quandt D. The evolution of the plastid chromosome in land plants: gene content, gene order, gene function. Plant Mol Biol. 2011;76:273–97.
Notsu Y, Masood S, Nishikawa T, Kubo N, Akiduki G, Nakazono M, et al. The complete sequence of the rice (Oryza sativa L.) mitochondrial genome: frequent DNA sequence acquisition and loss during the evolution of flowering plants. Mol Genet Genomics. 2002;268:434–45.
Tao D, Xu P, Zhou J, Deng X, Li J, Deng W, et al. Cytoplasm affects grain weight and filled-grain ratio in indica rice. BMC Genet. 2011;12:53.
Shi C, Zhu J. Genetic analysis of cytoplasmic and maternal effects for milling quality traits in indica rice. Seed Sci Technol. 1998;26:481–8.
Tao D, Hu F, Yang J, Yang G, Yang Y, Xu P, et al. Cytoplasm and cytoplasm-nucleus interactions affect agronomic traits in japonica rice. Euphytica. 2004;135:129–34.
Khehra AS, Bhalla SK. Cytoplasmic effects on quantitative characters in maize (Zea mays L.). Theor Appl Genet. 1976;47:271–4.
Singh L, Hadley HH. Maternal and cytoplasmic effects on seed protein content in soybeans, Glycine max (L.) merrill1. Crop Sci. 1972;12:583–5.
Liang H, Wang S, Wang T, Zhang H, Zhao S, Zhang M. Genetic analysis of embryo, cytoplasm and maternal effects and their environment interactions for isoflavone content in soybean [Glycine max (L.) Merr.]. Agric Sci China. 2007;6:1051–9.
Wu JG, Shi CH, Zhang HZ. Genetic analysis of embryo, cytoplasmic, and maternal effects and their environment interactions for protein content in Brassica napus L. Aust J Agric Res. 2005;56:69–73.
Wang X, Liu G, Yang Q, Hua W, Liu J, Wang H. Genetic analysis on oil content in rapeseed (Brassica napus L.). Euphytica. 2009;173:17–24.
Hua W, Li RJ, Zhan GM, Liu J, Li J, Wang XF, et al. Maternal control of seed oil content in Brassica napus: the role of silique wall photosynthesis. Plant J. 2012;69:432–44.
Liu J, Hao W, Liu J, Fan S, Zhao W, Deng L, et al. A novel chimeric mitochondrial gene confers cytoplasmic effects on seed oil content in polyploid rapeseed (Brassica napus). Mol Plant. 2019;12:582–96.
Allen JF. Why chloroplasts and mitochondria contain genomes. Comp Funct Genomics. 2003;4:31–6.
Rose RJ. Sustaining life: maintaining chloroplasts and mitochondria and their genomes in plants. Yale J Biol Med. 2019;92:499–510.
Daniell H, Lin CS, Yu M, Chang WJ. Chloroplast genomes: diversity, evolution, and applications in genetic engineering. Genome Biol. 2016;17:134.
Myszczyński K, Górski P, Ślipiko M, Sawicki J. Sequencing of organellar genomes of Gymnomitrion concinnatum (Jungermanniales) revealed the first exception in the structure and gene order of evolutionary stable liverworts mitogenomes. BMC Plant Biol. 2018;18:321.
Rivarola M, Foster JT, Chan AP, Williams AL, Rice DW, Liu X, et al. Castor bean organelle genome sequencing and worldwide genetic diversity analysis. PLoS One. 2011;6:e21743.
Hazkani-Covo E, Martin WF. Quantifying the number of independent organelle DNA insertions in genome evolution and human health. Genome Biol Evol. 2017;9:1190–203.
McManus HA, Fučíková K, Lewis PO, Lewis LA, Karol KG. Organellar phylogenomics inform systematics in the green algal family hydrodictyaceae (Chlorophyceae) and provide clues to the complex evolutionary history of plastid genomes in the green algal tree of life. Am J Bot. 2018;105:315–29.
Wang X, Cheng F, Rohlsen D, Bi C, Wang C, Xu Y, et al. Organellar genome assembly methods and comparative analysis of horticultural plants. Hortic Res. 2018;5:3.
Hao W, Fan S, Hua W, Wang H. Effective extraction and assembly methods for simultaneously obtaining plastid and mitochondrial genomes. PLoS ONE. 2014;9:e108291.
Seol YJ, Kim K, Kang SH, Perumal S, Lee J, Kim CK. The complete chloroplast genome of two Brassica species, Brassica nigra and B Oleracea. Mitochondrial DNA Part A. 2017;28:167–8.
Qiao J, Zhang X, Chen B, Huang F, Xu K, Huang Q, et al. Comparison of the cytoplastic genomes by resequencing: insights into the genetic diversity and the phylogeny of the agriculturally important genus Brassica. BMC Genomics. 2020;21:480.
Chen J, Guan R, Chang S, Du T, Zhang H, Xing H. Substoichiometrically different mitotypes coexist in mitochondrial genomes of Brassica napus L. PLoS ONE. 2011;6:e17662.
An H, Qi X, Gaynor ML, Hao Y, Gebken SC, Mabry ME, et al. Transcriptome and organellar sequencing highlights the complex origin and diversification of allotetraploid Brassica napus. Nat Commun. 2019;10:2878.
Nagata N. Mechanisms for independent cytoplasmic inheritance of mitochondria and plastids in angiosperms. J Plant Res. 2010;123:193–9.
Cheng L, Nam J, Chu SH, Rungnapa P, Min MH, Cao Y, et al. Signatures of differential selection in chloroplast genome between japonica and indica. Rice (NY). 2019;12:65.
Cheng L, Kim KW, Park YJ. Evidence for selection events during domestication by extensive mitochondrial genome analysis between japonica and indica in cultivated rice. Sci Rep. 2019;9:10846.
Schmutzer T, Samans B, Dyrszka E, Ulpinnis C, Weise S, Stengel D, et al. Species-wide genome sequence and nucleotide polymorphisms from the model allopolyploid plant Brassica napus. Sci Data. 2015;2:150072.
Cheng F, Sun R, Hou X, Zheng H, Zhang F, Zhang Y, et al. Subgenome parallel selection is associated with morphotype diversification and convergent crop domestication in Brassica rapa and Brassica oleracea. Nat Genet. 2016;48:1218–24.
Dierckxsens N, Mardulyn P, Smits G. NOVOPlasty: de novo assembly of organelle genomes from whole genome data. Nucleic Acids Res. 2017;45:e18.
Tillich M, Lehwark P, Pellizzer T, Ulbricht-Jones ES, Fischer A, Bock R, et al. GeSeq - versatile and accurate annotation of organelle genomes. Nucleic Acids Res. 2017;45:W6–11.
Chang S, Yang T, Du T, Huang Y, Chen J, Yan J, et al. Mitochondrial genome sequencing helps show the evolutionary mechanism of mitochondrial genome formation in Brassica. BMC Genomics. 2011;12:497.
Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. BLAST+: architecture and applications. BMC Bioinf. 2009;10:421.
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence alignment/map format and samtools. Bioinformatics. 2009;25:2078–9.
L’Homme Y, Stahl RJ, Li XQ, Hameed A, Brown GG. Brassica nap cytoplasmic male sterility is associated with expression of a mtDNA region containing a chimeric gene similar to the pol CMS-associated orf224 gene. Curr Genet. 1997;31:325–35.
Li P, Zhang S, Li F, Zhang S, Zhang H, Wang X, et al. A phylogenetic analysis of chloroplast genomes elucidates the relationships of the six economically important Brassica species comprising the triangle of u. Front Plant Sci. 2017;8:111.
Xue JY, Wang Y, Chen M, Dong S, Shao ZQ, Liu Y. Maternal inheritance of u’s triangle and evolutionary process of brassica mitochondrial genomes. Front Plant Sci. 2020;11:805.
Heng S, Chen F, Wei C, Hu K, Yang Z, Wen J, et al. Identification of different cytoplasms based on newly developed mitotype-specific markers for marker-assisted selection breeding in Brassica napus L. Plant Cell Rep. 2017;36:901–9.
Angiuoli SV, Salzberg SL. Mugsy: fast multiple alignment of closely related whole genomes. Bioinformatics. 2011;27:334–42.
Grewe F, Edger PP, Keren I, Sultan L, Pires JC, Ostersetzer-Biran O, et al. Comparative analysis of 11 Brassicales mitochondrial genomes and the mitochondrial transcriptome of Brassica oleracea. Mitochondrion. 2014;19(Pt B):135–43.
Yang J, Liu G, Zhao N, Chen S, Liu D, Ma W, et al. Comparative mitochondrial genome analysis reveals the evolutionary rearrangement mechanism in Brassica. Plant Biol (Stuttg). 2016;18:527–36.
Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–20.
Li H, Durbin R. Fast and accurate short read alignment with burrows-wheeler transform. Bioinformatics. 2009;25:1754–60.
Kendig KI, Baheti S, Bockol MA, Drucker TM, Hart SN, Heldenbrand JR, et al. Sentieon DNASeq variant calling workflow demonstrates strong computational performance and accuracy. Front Genet. 2019;10:736.
Greiner S, Lehwark P, Bock R. OrganellarGenomeDRAW (OGDRAW) version 1.3.1: expanded toolkit for the graphical visualization of organellar genomes. Nucleic Acids Res. 2019;47:W59–64.
Danecek P, McCarthy SA. BCFtools/csq: haplotype-aware variant consequences. Bioinformatics. 2017;33:2037–9.
Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32:268–74.
Kalyaanamoorthy S, Minh BQ, Wong T, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017;14:587–9.
Letunic I, Bork P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016;44:W242–5.
Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88:76–82.
Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005;14:2611–20.
The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Center of Oil Crops Research Institute, Chinese Academy of Agricultural Sciences.
This research was supported by the Agricultural Science and Technology Innovation Program (CAAS-ZDRW2019003), the National Natural Science Foundation of China (31871664) and the Major Project of Hongshan Laboratory (2021HSZD004). The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Liu, H., Zhao, W., Hua, W. et al. A large-scale population based organelle pan-genomes construction and phylogeny analysis reveal the genetic diversity and the evolutionary origins of chloroplast and mitochondrion in Brassica napus L.. BMC Genomics 23, 339 (2022). https://doi.org/10.1186/s12864-022-08573-x
- Organelle pan-genome
- Cytoplasm haplotype
- Maternal ancestor