Distribution of MITE family Monkey King in rapeseed (Brassica napus L) and its influence on gene expression.

Miniature inverted-repeat transposable elements (MITEs) are a group of class II transposable elements. The MITE Monkey King (MK) was first discovered upstream of BnFLC.A10. In this study, genome resequencing of four selected B. napus accessions, revealed more than 4000 distributed copies of MKs constituting ~2.4 Mb of the B. napus genomic sequence and caused 677 polymorphisms among the four accessions. MK -polymorphism-related markers across 128 natural and 58 synthetic accessions revealed more polymorphic MKs in natural than synthetic accessions. Ten MK -induced indels significantly affected the expression levels of the nearest gene based on RNAseq analysis, six of these effects were subsequently confirmed using qRT-PCR. Decreased expression pattern of MK -derived miRNA-bna-miR6031 was also observed under various stress treatments. Further research focused on the MITE families should promote not only our understanding of gene regulatory networks but also inform crop improvement efforts.

Dissection of the genetic architecture of three seed-quality traits and consequences for breeding in Brassica napus.

Genome-wide association studies (GWASs) combining high-throughput genome resequencing and phenotyping can accelerate the dissection of genetic architecture and identification of genes for plant complex traits. In this study, we developed a rapeseed genomic variation map consisting of 4 542 011 SNPs and 628 666 INDELs. GWAS was performed for three seed-quality traits, including erucic acid content (EAC), glucosinolate content (GSC) and seed oil content (SOC) using 3.82 million polymorphisms in an association panel. Six, 49 and 17 loci were detected to be associated with EAC, GSC and SOC in multiple environments, respectively. The mean total contribution of these loci in each environment was 94.1% for EAC and 87.9% for GSC, notably higher than that for SOC (40.1%). A high correlation was observed between phenotypic variance and number of favourable alleles for associated loci, which will contribute to breeding improvement by pyramiding these loci. Furthermore, candidate genes were detected underlying associated loci, based on functional polymorphisms in gene regions where sequence variation was found to correlate with phenotypic variation. Our approach was validated by detection of well-characterized FAE1 genes at each of two major loci for EAC on chromosomes A8 and C3, along with MYB28 genes at each of three major loci for GSC on chromosomes A9, C2 and C9. Four novel candidate genes were detected by correlation between GSC and SOC and observed sequence variation, respectively. This study provides insights into the genetic architecture of three seed-quality traits, which would be useful for genetic improvement of B. napus.

Association mapping of six yield­related traits in rapeseed (Brassica napus L.).

Yield is one of the most important traits for rapeseed (Brassica napus L.) breeding, but its genetic basis remains largely ambiguous. Association mapping has provided a robust approach to understand the genetic basis of complex agronomic traits in crops. In this study, a panel of 192 inbred lines of B. napus from all over the world was genotyped using 451 single-locus microsatellite markers and 740 amplified fragment length polymorphism markers. Six yield-related traits of these inbred lines were investigated in three consecutive years with three replications, and genome-wide association studies were conducted for these six traits. Using the model controlling both population structure and relative kinship (Q + K), a total of 43 associations (P < 0.001) were detected using the means of the six yield-related traits across 3 years, with two to fourteen markers associated with individual traits. Among these, 18 markers were repeatedly detected in at least 2 years, and 12 markers were located within or close to QTLs identified in previous studies. Six markers commonly associated with correlated traits. Conditional association analysis indicated that five of the associations between markers and correlated traits are caused by one QTL with pleiotropic effects, and the remaining association is caused by linked but independent QTLs. The combination of favorable alleles of multiple associated markers significantly enhances trait performance, illustrating a great potential of utilization of the associations in rapeseed breeding programs.

Genetic structure and linkage disequilibrium pattern of a rapeseed (Brassica napus L.) association mapping panel revealed by microsatellites.

Understanding the population structure and linkage disequilibrium (LD) is a prerequisite for association mapping of complex traits in a target population. In this study, we assessed the genetic diversity, population structure and the extent of LD in a panel of 192 inbred lines of Brassica napus from all over the world using 451 single-locus microsatellite markers. The inbred lines could be divided into P1 and P2 groups by a model-based population structure analysis. Out of the 142 inbred lines in the P1 group, 126 lines were from China and Japan, and the remaining 16 lines were from Europe, Canada and Australia. In the P2 group, 33 out of the 50 lines were from Europe, Canada, and Australia, and the remaining 17 lines were from China. Structure analysis further divided each group into two subgroups. AMOVA, pairwise F (ST) and neutrality analyses confirmed the differentiation between groups and subgroups. More than 80 % of the pairwise kinship estimates between inbred lines were <0.05, indicating that relative kinship is weak in our panel. Only 6 % linked marker pairs showed LD, suggesting the low level of LD in this association panel. The LD decayed within 0.5-1 cM at the genome level, and varied considerably across each group and subgroup, due to the population size, genetic background and genetic drift. The characterization of the population structure and LD patterns would be useful for performing association studies for complex agronomic traits in rapeseed.

Molecular characterization of oilseed rape accessions collected from multi continents for exploitation of potential heterotic group through SSR markers.

Evaluation of the genetic diversity in conventional and modern rapeseed cultivars is essential for conservation, management and utilization of these genetic resources for high yielding hybrid production. The objective of this research was to evaluate a collection of 86 oilseed rape cultivars with 188 simple sequence repeat (SSR) markers to assess the genetic variability, heterotic group identity and relationships within and between the groups identified among the genotypes. A total of 631 alleles at 188 SSR markers were detected including 53 and 84 unique and private alleles respectively, which indicated great richness and uniqueness of genetic variation in these selected cultivars. The mean number of alleles per locus was 3.3 and the average polymorphic information content was 0.35 for all microsatellite loci. Unweighted Pair Group Method with Arithmetic Mean clustering and principal component analysis consistently divided all the cultivars into four distinct groups (I, II, III and IV) which largely coincided with their geographical distributions. The Chinese origin cultivars are predominantly assembled in Group II and showed wide genetic base because of its high allelic abundance at SSR loci while most of the exotic cultivars grouped into Group I and were highly distinct owing to the abundant private and unique alleles. The highest genetic distance was found between Group I and IV, which mainly comprised of exotic and newly synthesized yellow seeded (1728-1 and G1087) breeding lines, respectively. Our study provides important insights into further utilization of exotic Brassica napus accessions in Chinese rapeseed breeding and vice versa.