Genetic architecture of post-harvest tuber quality traits in bush yam (Dioscorea praehensilis Benth.) germplasm through association mapping

A. S. Adewumi, P. A. Asare, O. T. Akintayo, I. I. Adejumobi, M. O. Adu, K. J. Taah, E. Afutu, V. A. Opoku, Adekemi E. Stanley, S. Akaba, Jean M. Mondo, H. Mushoriwa, P. Agre
{"title":"Genetic architecture of post-harvest tuber quality traits in bush yam (Dioscorea praehensilis Benth.) germplasm through association mapping","authors":"A. S. Adewumi, P. A. Asare, O. T. Akintayo, I. I. Adejumobi, M. O. Adu, K. J. Taah, E. Afutu, V. A. Opoku, Adekemi E. Stanley, S. Akaba, Jean M. Mondo, H. Mushoriwa, P. Agre","doi":"10.3389/fhort.2024.1373327","DOIUrl":null,"url":null,"abstract":"Bush yam (Dioscorea praehensilis Benth.) is an important semi-domesticated food crop in West Africa. Limited information on the genetic architecture and its poor post-harvest tuber quality traits significantly hinder its use as food and source of income. Hence, dissecting the genetics underlying the expression of its post-harvest tuber quality traits is essential for establishing proper breeding schemes.In this study, 138 D. praehensilis accessions collected in Ghana were sequenced using Diversity Array Technology (DArTSeq). The materials were profiled for dry matter content (DMC), tuber flesh oxidation (TBOXI) and for tuber flesh hardness (TBhard) during two cropping seasons.Diversity assessment using population structure, principal component analysis and hierarchical clustering methods revealed the presence of three major groups. Six genetic models were used for the trait association analysis using multiple random locus mixed linear model (MrMLM). Sixteen SNP markers distributed across the yam genome were identified to be associated with the evaluated traits. The associated SNP markers displayed a phenotypic variance ranged from 4.22% in TBHard to 16.92% in TBOXI. A total 25 putative candidate genes were identified around the SNP markers. The putative genes were identified to play key roles in tuber bulking, oxidative browning and starch hydroxylase. This study provides a valuable insight on the genetics underlying tuber quality traits in bush yam and opens avenues for developing genomic resources to improve D. praehensilis.","PeriodicalId":504611,"journal":{"name":"Frontiers in Horticulture","volume":"51 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Horticulture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fhort.2024.1373327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Bush yam (Dioscorea praehensilis Benth.) is an important semi-domesticated food crop in West Africa. Limited information on the genetic architecture and its poor post-harvest tuber quality traits significantly hinder its use as food and source of income. Hence, dissecting the genetics underlying the expression of its post-harvest tuber quality traits is essential for establishing proper breeding schemes.In this study, 138 D. praehensilis accessions collected in Ghana were sequenced using Diversity Array Technology (DArTSeq). The materials were profiled for dry matter content (DMC), tuber flesh oxidation (TBOXI) and for tuber flesh hardness (TBhard) during two cropping seasons.Diversity assessment using population structure, principal component analysis and hierarchical clustering methods revealed the presence of three major groups. Six genetic models were used for the trait association analysis using multiple random locus mixed linear model (MrMLM). Sixteen SNP markers distributed across the yam genome were identified to be associated with the evaluated traits. The associated SNP markers displayed a phenotypic variance ranged from 4.22% in TBHard to 16.92% in TBOXI. A total 25 putative candidate genes were identified around the SNP markers. The putative genes were identified to play key roles in tuber bulking, oxidative browning and starch hydroxylase. This study provides a valuable insight on the genetics underlying tuber quality traits in bush yam and opens avenues for developing genomic resources to improve D. praehensilis.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过关联图谱研究灌木山药(Dioscorea praehensilis Benth.)种质收获后块茎质量性状的遗传结构
丛生山药(Dioscorea praehensilis Benth.)是西非一种重要的半家养粮食作物。有关其遗传结构的信息有限,而且其收获后块茎质量性状较差,这大大阻碍了其作为食物和收入来源的用途。在这项研究中,利用多样性阵列技术(DArTSeq)对在加纳收集的 138 个 D. praehensilis 菌株进行了测序。利用种群结构、主成分分析和分层聚类方法对多样性进行了评估,结果显示存在三个主要群体。利用多随机位点混合线性模型(MrMLM)对六个遗传模型进行了性状关联分析。确定了分布在山药基因组中的 16 个 SNP 标记与评估的性状相关。相关 SNP 标记的表型变异范围从 TBHard 的 4.22% 到 TBOXI 的 16.92%。围绕 SNP 标记共鉴定出 25 个推测候选基因。经鉴定,这些推测基因在块茎膨大、氧化变褐和淀粉羟化酶中发挥关键作用。这项研究为了解灌木山药块茎品质性状的遗传学基础提供了宝贵的见解,并为开发基因组资源以改良 D. praehensilis 开辟了途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Trellising is advantageous over ground culture for out-of-season, protected production and storage of sweet acorn squash Application of commercial seaweed extract-based biostimulants to enhance adventitious root formation in ornamental cutting propagation protocols: a review Development and validation of an innovative headspace collection technique: volatile organic compound patterns emitted by different developmental stages of Halyomorpha halys Enhancing nutrient uptake and grapefruit (Citrus paradisi) growth through soil application of beneficial bacteria (Bacillus spp.) Production and verification of novel Osmanthus hybrids
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1