Identification of SSR Markers Associated with Yield-Related Traits and Heterosis Effect in Winter Oilseed Rape (Brassica Napus L.)

Abstract

The identification of markers responsible for regulating important agronomic traits in rapeseed supports breeding and increases the seed yield. Microsatellite (SSR) markers are mainly used as ‘neutral’ genetic markers but are also linked with many biological functions. The objective of this study was identification of microsatellite markers associated with important agronomic traits affecting the seed yield of winter oilseed rape and with the heterosis effect for these traits. The plant material consists of four parental lines, 60 doubled haploid (DH) lines, 60 single cross hybrids, and 60 three-way cross hybrids. The association between molecular markers and observed traits was estimated using regression analysis. Among 89 SSR markers, 43 were polymorphic, and 15 were selected for mapping because they demonstrated stability in both years of observation. These markers were physically mapped in the rapeseed reference genomes and their immediate vicinity was searched to identify candidate genes associated with the studied traits. Six markers (BrGMS3837, BnEMS1119, BrGMS2901, BnGMS0509, BrGMS3688, BrGMS4057), which showed a positive estimation effect in our association analysis, and thus increased the value of a given trait or heterosis effect, turned out to be linked with genes that could be responsible for the development and growth of plants.

The Use of DArTseq Technology to Identify Markers Related to the Heterosis Effects in Selected Traits in Maize

“…In the research presented here, association analysis was used to detect relationships between the effect of heterosis and the genotype of hybrids. Similar studies were conducted on winter oilseed rape [ 54 ].…”

Mapping and candidate gene analysis of clustered bud on the main inflorescence in Brassica napus L.

“…The two significant association regions on the rape genome were distributed as chrA03 28.30-28.50 Mb and chrA03-random 5.77-5.81 Mb, with 22 and 2 candidate genes, respectively. Owing to its rapidity and accuracy, the BSA analysis approach has been applied in various crop fields [31][32][33][34]. Based on the results of BSA analysis, 1292 pairs of SSR primers and 131 pairs of InDel primers were designed, and 27 closely linked molecular markers were screened.…”

Meta-Analysis of Influence of Diversity of Parental Forms on Heterosis and Specific Combining Ability of Their Hybrids

“…Diversity and population structure can vary significantly between morphological traits and molecular markers. Elucidating such discrepancies is crucial for further progress in breeding, as well as for maintaining genetic resources [49][50][51]. In order to achieve better breeding results, classical selection is increasingly being supplemented with test results using molecular markers linked to performance traits.…”

“…The data collected included five crop species: maize , rapeseed [46][47][48][49][50][51][52], pea [53,54], barley [55][56][57], and wheat [58][59][60][61][62]. Datasets that met the following conditions were selected for analysis: (i) the effect of heterosis was calculated only in comparison with the average of the parental forms [63], (ii) Mahalanobis distances [64] were calculated for at least nine traits (t > 8), (iii) the diversity or genetic similarity of the parental forms was calculated according to the formula proposed by Nei and Li [65].…”