Analysis of QTL for seed oil content in Brassica napus by association mapping and QTL mapping

Fu, Ying; Zhang, Dongqing; Gleeson, Madeleine; Zhang, Yaofeng; Lin, Baogang; Hua, Shuijin; HouDong, Ding; Frauen, Martin; Li, Jiana; Qian, Wei; Yu, Han‐Qing

doi:10.1007/s10681-016-1817-9

Cited by 19 publications

(10 citation statements)

References 49 publications

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“…A number of studies have mapped QTL for seed oil content in mustard (Cheung et al, 1998 ; Mahmood et al, 2006 ; Ramchiary et al, 2007 ; Yadava et al, 2012 ) and rapeseed (Ecke et al, 1995 ; Delourme et al, 2006 ; Qiu et al, 2006 ; Cao et al, 2010 ; Sun et al, 2012 ; Zhao et al, 2012 ; Wang et al, 2013 ; Jiang et al, 2014 ; Fu et al, 2017 ). Most of the studies have used a single bi-parental population with small parental difference for the oil content.…”

Section: Introductionmentioning

confidence: 99%

“…Only two studies in B. napus , Sun et al ( 2012 ) and Wang et al ( 2013 ), have used parents with more than 10% difference in oil content. Recently, Fu et al ( 2017 ) undertook QTL analysis of oil content by association mapping using 142 rapeseed breeding lines with diverse oil content ranging from 37.39 to 55.28%. However, none of these studies have identified and highlighted QTL that would be useful in breeding for oil content in ZE background.…”

Section: Introductionmentioning

confidence: 99%

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QTL Landscape for Oil Content in Brassica juncea: Analysis in Multiple Bi-Parental Populations in High and “0” Erucic Background

et al. 2018

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Increasing oil content in oilseed mustard (Brassica juncea) is a major breeding objective—more so, in the lines that have “0” erucic acid content (< 2% of the seed oil) as earlier studies have shown negative pleiotropic effect of erucic acid loci on the oil content, both in oilseed mustard and rapeseed. We report here QTL analysis of oil content in eight different mapping populations involving seven different parents—including a high oil content line J8 (~49%). The parental lines of the mapping populations contained wide variation in oil content and erucic acid content. The eight mapping populations were categorized into two sets—five populations with individuals segregating for erucic acid (SE populations) and the remaining three with zero erucic acid segregants (ZE populations). Meta-analysis of QTL mapped in individual SE populations identified nine significant C-QTL, with two of these merging most of the major oil QTL that colocalized with the erucic acid loci on the linkage groups A08 and B07. QTL analysis of oil content in ZE populations revealed a change in the landscape of the oil QTL compared to the SE populations, in terms of altered allelic effects and phenotypic variance explained by ZE QTL at the “common” QTL and observation of “novel” QTL in the ZE background. The important loci contributing to oil content variation, identified in the present study could be used in the breeding programmes for increasing the oil content in high erucic and “0” erucic backgrounds.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

QTL Landscape for Oil Content in Brassica juncea: Analysis in Multiple Bi-Parental Populations in High and “0” Erucic Background

et al. 2018

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“…It seemed that oil content and its underlying loci may undergo selection during geographical differentiation in China. However, more experimental evidence, such as a multiple-ecological The oil content showed an additive inheritance in crops [15,[39][40][41], which could facilitate pyramiding associated loci straightforward in the breeding program. In this study, associated markers were widely located on chromosome A03, A04, A08, A09, A10, B01, B06, B07, and B08 (Additional file 1: Table S1) based on the information from previous linkage maps and the physical location on genome [25,[42][43][44].…”

Section: Discussionmentioning

confidence: 99%

Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping

et al. 2020

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Background: Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the main objective in several peanut breeding programs of the world. Tightly linked markers are required for faster development of high oil content peanut varieties through genomics-assisted breeding (GAB), and association mapping is one of the promising approaches for discovery of such associated markers. Results: An association mapping panel consisting of 292 peanut varieties extensively distributed in China was phenotyped for oil content and genotyped with 583 polymorphic SSR markers. These markers amplified 3663 alleles with an average of 6.28 alleles per locus. The structure, phylogenetic relationship, and principal component analysis (PCA) indicated two subgroups majorly differentiating based on geographic regions. Genome-wide association analysis identified 12 associated markers including one (AGGS1014_2) highly stable association controlling up to 9.94% phenotypic variance explained (PVE) across multiple environments. Interestingly, the frequency of the favorable alleles for 12 associated markers showed a geographic difference. Two associated markers (AGGS1014_2 and AHGS0798) with 6.90-9.94% PVE were verified to enhance oil content in an independent RIL population and also indicated selection during the breeding program. Conclusion: This study provided insights into the genetic basis of oil content in peanut and verified highly associated two SSR markers to facilitate marker-assisted selection for developing high-oil content breeding peanut varieties.

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“…A total of 4485 SSR markers obtained from the published literature were used to screen the diverse panel for identifying polymorphic markers [43][44][45][46][47][48][49][50][51]. The polymorphic marker primers labeled with fluorescence dyes were used to perform PCR amplification.…”

Section: Dna Isolation and Genotypingmentioning

confidence: 99%

Dissection of the genetic basis of oil content in Chinese peanut cultivars by association mapping

Liu¹,

Huang²,

Chen³

et al. 2020

Preprint

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Background Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the main objective in these peanut breeding programs. Linked markers for oil content is required for use in genomics-assisted breeding (GAB), and association mapping is one of the promising approaches for discovery of associated markers. Results An association mapping panel consisting of 292 peanut varieties extensively distributed in China were phenotyped for oil content and genotyped with 583 polymorphic SSR markers. These markers amplified 3663 alleles with an average of 6.28 alleles per locus. The results of structure, phylogenetic relationship, and PCA analyses indicated two subgroups majorly differentiating based on geographic regions. Genome-wide association analysis using genetic and phenotypic data identified 12 associated markers including one (AGGS1014_2) highly stable association controlling up to 9.94% phenotypic variance explained (PVE) across multiple environments. Interestingly, the frequency of the favorable alleles for 12 associated markers showed a geographic difference. Two associated markers AGGS1014_2 and AHGS0798 with 6.90-9.94% PVE were verified to enhance oil content in an independent RIL population. The combined genotypes of AGGS1014_2 and AHGS0798 appeared to experience selection during the breeding program. Conclusion This study provided insights into the genetic basis of oil content in peanut and verified that two SSR markers were highly associated with oil content. Our results could facilitate marker-assisted selection for high-oil content breeding.

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Analysis of QTL for seed oil content in Brassica napus by association mapping and QTL mapping

Cited by 19 publications

References 49 publications

QTL Landscape for Oil Content in Brassica juncea: Analysis in Multiple Bi-Parental Populations in High and “0” Erucic Background

QTL Landscape for Oil Content in Brassica juncea: Analysis in Multiple Bi-Parental Populations in High and “0” Erucic Background

Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping

Dissection of the genetic basis of oil content in Chinese peanut cultivars by association mapping

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