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利用全基因组关联扫描鉴定白薯蓣(Dioscorea rotundata)优良群体中块根产量和花叶病毒耐性的数量性状核苷酸和候选基因。

Identification of quantitative trait nucleotides and candidate genes for tuber yield and mosaic virus tolerance in an elite population of white guinea yam (Dioscorea rotundata) using genome-wide association scan.

机构信息

International Institute of Tropical Agriculture, PMB 5320, Oyo Road, Ibadan, Oyo State, 200001, Nigeria.

Sierra Leone Agricultural Research Institute, PMB 1313, Tower Hill, Freetown, Sierra Leone.

出版信息

BMC Plant Biol. 2021 Nov 22;21(1):552. doi: 10.1186/s12870-021-03314-w.

DOI:10.1186/s12870-021-03314-w
PMID:34809560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8607609/
Abstract

BACKGROUND

Improvement of tuber yield and tolerance to viruses are priority objectives in white Guinea yam breeding programs. However, phenotypic selection for these traits is quite challenging due to phenotypic plasticity and cumbersome screening of phenotypic-induced variations. This study assessed quantitative trait nucleotides (QTNs) and the underlying candidate genes related to tuber yield per plant (TYP) and yam mosaic virus (YMV) tolerance in a panel of 406 white Guinea yam (Dioscorea rotundata) breeding lines using a genome-wide association study (GWAS).

RESULTS

Population structure analysis using 5,581 SNPs differentiated the 406 genotypes into seven distinct sub-groups based delta K. Marker-trait association (MTA) analysis using the multi-locus linear model (mrMLM) identified seventeen QTN regions significant for TYP and five for YMV with various effects. The seveteen QTNs were detected on nine chromosomes, while the five QTNs were identified on five chromosomes. We identified variants responsible for predicting higher yield and low virus severity scores in the breeding panel through the marker-effect prediction. Gene annotation for the significant SNP loci identified several essential putative genes associated with the growth and development of tuber yield and those that code for tolerance to mosaic virus.

CONCLUSION

Application of different multi-locus models of GWAS identified 22 QTNs. Our results provide valuable insight for marker validation and deployment for tuber yield and mosaic virus tolerance in white yam breeding. The information on SNP variants and genes from the present study would fast-track the application of genomics-informed selection decisions in breeding white Guinea yam for rapid introgression of the targeted traits through markers validation.

摘要

背景

提高产量和对病毒的耐受性是白薯蓣育种计划的首要目标。然而,由于表型的可塑性和表型诱导变异的繁琐筛选,对这些特性进行表型选择极具挑战性。本研究利用全基因组关联研究(GWAS),在 406 个白薯蓣(Dioscorea rotundata)育种系中评估了与单位植物块茎产量(TYP)和芋花叶病毒(YMV)耐受性相关的数量性状核苷酸(QTN)和潜在候选基因。

结果

使用 5581 个 SNP 进行的群体结构分析将 406 个基因型根据 delta K 分为七个不同的亚群。使用多基因线性模型(mrMLM)的标记-性状关联(MTA)分析鉴定了 17 个与 TYP 相关的 QTN 区域和 5 个与 YMV 相关的 QTN 区域,其影响各不相同。这 17 个 QTN 检测到 9 条染色体上,而 5 个 QTN 则检测到 5 条染色体上。通过标记效应预测,我们确定了导致育种群体中产量更高和病毒严重程度评分较低的变异。对显著 SNP 位点的基因注释确定了与块茎产量生长和发育相关的几个重要候选基因,以及编码对花叶病毒耐受性的基因。

结论

不同的 GWAS 多基因模型的应用鉴定了 22 个 QTN。我们的研究结果为白薯蓣的标记验证和应用提供了有价值的信息,以实现产量和花叶病毒耐受性的改良。本研究中 SNP 变异和基因的信息将加速利用基于基因组的选择决策在白薯蓣育种中的应用,通过标记验证快速引入目标特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/209b7f8435cd/12870_2021_3314_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/8a558e71289f/12870_2021_3314_Fig4_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/a385ca1741ce/12870_2021_3314_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/209b7f8435cd/12870_2021_3314_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/1c6e6b0cf81c/12870_2021_3314_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/e49db692b43e/12870_2021_3314_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/d3c00578fd45/12870_2021_3314_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/8a558e71289f/12870_2021_3314_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/1071fa2b5719/12870_2021_3314_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/fb4a0d83d672/12870_2021_3314_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/a385ca1741ce/12870_2021_3314_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d620/8607609/209b7f8435cd/12870_2021_3314_Fig8_HTML.jpg

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