Multi-trait and multi-environment QTL analysis reveals the impact of seed colour on seed composition traits in Brassica napus

Yu, Bianyun; Boyle, Kerry; Zhang, Wentao; Robinson, Stephen J.; Higgins, Erin E.; Ehman, Lanette; Relf-Eckstein, Jo-Anne; Rakow, G.; Parkin, Isobel A. P.; Sharpe, Andrew; Fobert, Pierre R.

doi:10.1007/s11032-016-0521-8

Cited by 11 publications

(10 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Quantitative trait loci mapping of seed oil content in oilseed rape has been conducted by several researchers: Burns et al (2003), Chao et al (2017), Chen et al (2010), Chen et al (2013), Delourme et al (2006), Ecke, Uzunova, and Wcißleder (1995), Fu et al (2017, Gajardo et al (2015), Javed et al (2016), Jiang et al (2014, Körber et al (2016), Liu et al (2016b), Qiu et al (2006), Schatzki, Ecke, Becker, andMöllers (2014), Sun et al (2012), Teh and Möllers (2016), Wang et al (2013), Würschum, Liu, Maurer, Abel, andReif (2012), Yu et al (2016), and Zhao et al (2005, 2006, 2012. Based on these studies, all nine C genome chromosomes carry QTL for this trait.…”

Section: Discussionmentioning

confidence: 99%

“…(2013), Würschum, Liu, Maurer, Abel, and Reif (2012), Yu et al. (2016), and Zhao et al. (2005, 2006, 2008, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…It often degrades to hexoses and enter into the biosynthesis of cellulase, starch, protein, and lipids (for review see, Wardlaw [1990] and Braun, Wang, & Ruan [2014]), and the genes involved in these various steps including photosynthesis (for review, see Wang, Hendron, and Kelly [2017]) and metabolism of sucrose (for review, see Stein and Granot [2019]) and their networks affects plant growth and development. Thus, it is obvious that the growth of plant parts or plant traits, including accumulation of storage products, is under genetic control (for review, see Johnson and Lenhard [2011] and Gacek, Bartkowiak‐Broda, and Batley [2018]); and colocalized genes and QTL affecting multiple traits (Lv et al., 2016; Shen, Xiang, Xu, Ge, & Li, 2018) or pleiotropic effect of a gene or QTL on multiple traits (Yu et al., 2016) has been reported in Brassica . Therefore, it is possible that some of the traits investigated in this study would exert a significant effect on the other traits.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mapping of seed quality traits in the C genome of Brassica napus by using a population carrying genome content of B. oleracea and their effect on other traits

Rahman

Kebede

2021

The Plant Genome

View full text Add to dashboard Cite

Increasing seed oil and protein contents and reducing the content of seed glucosinolates (GSLs) in Brassica oilseed crops are important objectives in breeding. By using an oilseed rape (B. napus L.) doubled-haploid (DH) population carrying genome content introgressed from Chinese kale (B. oleracea L.), we mapped quantitative trait loci (QTL) for these seed quality traits and investigated their effect on other traits including seed yield. A stable QTL for seed oil content was identified on chromosome C5 at 40-42 Mb position and a QTL for seed GSL content was identified on C9 at 7-8 Mb position. The C5 and C9 QTL alleles for high oil and GSL contents were derived from Chinese kale, demonstrating that high-oil QTL allele can be found in the parental species of oilseed rape. The low-GSL QTL allele of C9 exerted a significant positive effect on seed protein content, demonstrating that selection for this QTL allele contributed to higher protein content in canola seed. These two QTL were not affected by field environmental conditions and did not exert a significant effect on days to flowering and seed yield. Thus, the genomic regions and the molecular markers identified in this study should be useful in molecular breeding of the seed quality traits in oilseed rape.

show abstract

Section: Discussionmentioning

confidence: 99%

“…(2013), Würschum, Liu, Maurer, Abel, and Reif (2012), Yu et al. (2016), and Zhao et al. (2005, 2006, 2008, 2012).…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mapping of seed quality traits in the C genome of Brassica napus by using a population carrying genome content of B. oleracea and their effect on other traits

Rahman

Kebede

2021

The Plant Genome

View full text Add to dashboard Cite

show abstract

“…Generally, a higher content of oleic acid and a lower content of linoleic acid (high oleic/linoleic acid ratio) in cooking/edible oil is reported to be healthier for human consumption. Many QTLs ( Table 1 ) have been reported for oil content in diploid and amphiploid species of Brassica such as Brassica napus ( 87 , 89 – 91 , 94 , 99 ) and Brassica carinata ( 102 ). In Brassica juncea , QTLs for glucosinolate, gluconapin, sinigrin, glucoiberin, gluconeobrasscin, gluconasturtin, and tocopherol content were mapped in RILs on chromosomes (J18, J1, J4, J9, J7, and J6, respectively) using SSR markers ( 103 ).…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Nutritional Quality of Major Food Crops Through Conventional and Genomics-Assisted Breeding

et al. 2020

View full text Add to dashboard Cite

Nutritional stress is making over two billion world population malnourished. Either our commercially cultivated varieties of cereals, pulses, and oilseed crops are deficient in essential nutrients or the soils in which these crops grow are becoming devoid of minerals. Unfortunately, our major food crops are poor sources of micronutrients required for normal human growth. To overcome the problem of nutritional deficiency, greater emphasis should be laid on the identification of genes/quantitative trait loci (QTLs) pertaining to essential nutrients and their successful deployment in elite breeding lines through marker-assisted breeding. The manuscript deals with information on identified QTLs for protein content, vitamins, macronutrients, micro-nutrients, minerals, oil content, and essential amino acids in major food crops. These QTLs can be utilized in the development of nutrient-rich crop varieties. Genome editing technologies that can rapidly modify genomes in a precise way and will directly enrich the nutritional status of elite varieties could hold a bright future to address the challenge of malnutrition.

show abstract

“…Consensus maps built using freely available MergeMap [ 40 ] and LPMerge algorithms [ 41 ] were reported in different plants, including barley [ 42 , 43 ], cowpea [ 44 ], rapeseed [ 45 ], spring wheat [ 46 ], loblolly pine [ 47 ], cassava [ 48 ], oak [ 49 ], oilseed rape [ 50 ] and faba bean [ 51 ], pear [ 38 ], and two integrated linkage maps in apple [ 5 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

High-density multi-population consensus genetic linkage map for peach

et al. 2018

View full text Add to dashboard Cite

Highly saturated genetic linkage maps are extremely helpful to breeders and are an essential prerequisite for many biological applications such as the identification of marker-trait associations, mapping quantitative trait loci (QTL), candidate gene identification, development of molecular markers for marker-assisted selection (MAS) and comparative genetic studies. Several high-density genetic maps, constructed using the 9K SNP peach array, are available for peach. However, each of these maps is based on a single mapping population and has limited use for QTL discovery and comparative studies. A consensus genetic linkage map developed from multiple populations provides not only a higher marker density and a greater genome coverage when compared to the individual maps, but also serves as a valuable tool for estimating genetic positions of unmapped markers. In this study, a previously developed linkage map from the cross between two peach cultivars ‘Zin Dai’ and ‘Crimson Lady’ (ZC2) was improved by genotyping additional progenies. In addition, a peach consensus map was developed based on the combination of the improved ZC2 genetic linkage map with three existing high-density genetic maps of peach and a reference map of Prunus. A total of 1,476 SNPs representing 351 unique marker positions were mapped across eight linkage groups on the ZC2 genetic map. The ZC2 linkage map spans 483.3 cM with an average distance between markers of 1.38 cM/marker. The MergeMap and LPmerge tools were used for the construction of a consensus map based on markers shared across five genetic linkage maps. The consensus linkage map contains a total of 3,092 molecular markers, consisting of 2,975 SNPs, 116 SSRs and 1 morphological marker associated with slow ripening in peach (SR). The consensus map provides valuable information on marker order and genetic position for QTL identification in peach and other genetic studies within Prunus and Rosaceae.

show abstract

Multi-trait and multi-environment QTL analysis reveals the impact of seed colour on seed composition traits in Brassica napus

Cited by 11 publications

References 49 publications

Mapping of seed quality traits in the C genome of Brassica napus by using a population carrying genome content of B. oleracea and their effect on other traits

Mapping of seed quality traits in the C genome of Brassica napus by using a population carrying genome content of B. oleracea and their effect on other traits

Enhancing the Nutritional Quality of Major Food Crops Through Conventional and Genomics-Assisted Breeding

High-density multi-population consensus genetic linkage map for peach

Contact Info

Product

Resources

About