• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

普通菜豆优良育种系的全基因组重测序。

Whole-genome resequencing of common bean elite breeding lines.

机构信息

Genetics and Plant Breeding, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil.

Biotechnology, Scientific Initiation Scholarship, Brazilian Agricultural Research Corporation, Santo Antônio de Goiás, GO, Brazil.

出版信息

Sci Rep. 2023 Aug 5;13(1):12721. doi: 10.1038/s41598-023-39399-6.

DOI:10.1038/s41598-023-39399-6
PMID:37543642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10404220/
Abstract

The expansion of bean genome technologies has prompted new perspectives on generating resources and knowledge essential to research and implementing biotechnological tools for the practical operations of plant breeding programs. This study aimed to resequence the entire genome (whole genome sequencing-WGS) of 40 bean genotypes selected based on their significance in breeding programs worldwide, with the objective of generating an extensive database for the identification of single nucleotide polymorphisms (SNPs). Over 6 million SNPs were identified, distributed across the 11 bean chromosomes. After quality variant filtering, 420,509 high-quality SNPs were established, with an average of 38,228 SNPs per chromosome. These variants were categorized based on their predicted effects, revealing that the majority exerted a modifier impact on non-coding genome regions (94.68%). Notably, a significant proportion of SNPs occurred in intergenic regions (62.89%) and at least one SNP was identified in 58.63% of the genes annotated in the bean genome. Of particular interest, 7841 SNPs were identified in 85% of the putative plant disease defense-related genes, presenting a valuable resource for crop breeding efforts. These findings provide a foundation for the development of innovative and broadly applicable technologies for the routine selection of superior genotypes in global bean improvement and germplasm characterization programs.

摘要

豆类基因组技术的扩展为生成资源和知识提供了新的视角,这些资源和知识对于研究和实施生物技术工具以及进行植物育种计划的实际操作至关重要。本研究旨在对 40 种豆类基因型进行全基因组重测序(whole genome sequencing-WGS),这些基因型是根据它们在全球育种计划中的重要性选择的,目的是生成一个广泛的数据库,用于识别单核苷酸多态性(SNPs)。共鉴定出超过 600 万个 SNPs,分布在 11 条豆类染色体上。经过质量变异过滤后,确定了 420,509 个高质量 SNPs,每个染色体的平均 SNP 数量为 38,228 个。这些变体根据其预测的效应进行了分类,结果表明,大多数 SNP 对非编码基因组区域(94.68%)具有修饰作用。值得注意的是,大部分 SNP 发生在基因间区域(62.89%),并且在豆类基因组注释的基因中,至少有一个 SNP 存在于 58.63%的基因中。特别值得注意的是,在 85%的假定植物疾病防御相关基因中鉴定到了 7841 个 SNP,这为作物育种工作提供了有价值的资源。这些发现为开发创新的、广泛适用的技术奠定了基础,这些技术可用于常规选择全球豆类改良和种质特性计划中的优良基因型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/cda17555aa71/41598_2023_39399_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/d2ac5a939b07/41598_2023_39399_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/bb678ea69a62/41598_2023_39399_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/6c8f2600c5b1/41598_2023_39399_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/20ff4eb4fa08/41598_2023_39399_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/b6259d4a3c96/41598_2023_39399_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/228a964a3a0d/41598_2023_39399_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/d6c052e45e2d/41598_2023_39399_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/cda17555aa71/41598_2023_39399_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/d2ac5a939b07/41598_2023_39399_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/bb678ea69a62/41598_2023_39399_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/6c8f2600c5b1/41598_2023_39399_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/20ff4eb4fa08/41598_2023_39399_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/b6259d4a3c96/41598_2023_39399_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/228a964a3a0d/41598_2023_39399_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/d6c052e45e2d/41598_2023_39399_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5eb/10404220/cda17555aa71/41598_2023_39399_Fig8_HTML.jpg

相似文献

1
Whole-genome resequencing of common bean elite breeding lines.普通菜豆优良育种系的全基因组重测序。
Sci Rep. 2023 Aug 5;13(1):12721. doi: 10.1038/s41598-023-39399-6.
2
SNP discovery in common bean by restriction-associated DNA (RAD) sequencing for genetic diversity and population structure analysis.通过限制性内切酶相关DNA(RAD)测序进行菜豆单核苷酸多态性(SNP)发现以进行遗传多样性和群体结构分析。
Mol Genet Genomics. 2016 Jun;291(3):1277-91. doi: 10.1007/s00438-016-1182-3. Epub 2016 Mar 1.
3
In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping.利用DArTseq高密度SNP基因分型对巴西普通豆核心种质进行深入的基因组特征分析。
BMC Genomics. 2017 May 30;18(1):423. doi: 10.1186/s12864-017-3805-4.
4
Genome-Wide Association Studies of Anthracnose and Angular Leaf Spot Resistance in Common Bean (Phaseolus vulgaris L.).普通菜豆(Phaseolus vulgaris L.)炭疽病和角斑病抗性的全基因组关联研究。
PLoS One. 2016 Mar 1;11(3):e0150506. doi: 10.1371/journal.pone.0150506. eCollection 2016.
5
Development of molecular markers linked to disease resistance genes in common bean based on whole genome sequence.基于全基因组序列的菜豆抗病基因分子标记的开发。
Plant Sci. 2016 Jan;242:351-357. doi: 10.1016/j.plantsci.2015.09.006. Epub 2015 Sep 9.
6
Resequencing of Common Bean Identifies Regions of Inter-Gene Pool Introgression and Provides Comprehensive Resources for Molecular Breeding.普通菜豆重测序鉴定基因间池渗入区域,并为分子育种提供综合资源。
Plant Genome. 2018 Jul;11(2). doi: 10.3835/plantgenome2017.08.0068.
7
A high-throughput SNP marker system for parental polymorphism screening, and diversity analysis in common bean (Phaseolus vulgaris L.).高通量 SNP 标记系统用于亲本多态性筛选和普通菜豆(Phaseolus vulgaris L.)多样性分析。
Theor Appl Genet. 2013 Feb;126(2):535-48. doi: 10.1007/s00122-012-1999-z. Epub 2012 Nov 3.
8
Fine-mapping of angular leaf spot resistance gene Phg-2 in common bean and development of molecular breeding tools.普通菜豆抗角斑病基因 Phg-2 的精细定位及分子育种工具的开发。
Theor Appl Genet. 2019 Jul;132(7):2003-2016. doi: 10.1007/s00122-019-03334-z. Epub 2019 Apr 11.
9
Uneven recombination rate and linkage disequilibrium across a reference SNP map for common bean (Phaseolus vulgaris L.).参考 SNP 图谱中普通菜豆(Phaseolus vulgaris L.)不均匀的重组率和连锁不平衡。
PLoS One. 2018 Mar 9;13(3):e0189597. doi: 10.1371/journal.pone.0189597. eCollection 2018.
10
Genetic variability and genome-wide association analysis of flavor and texture in cooked beans (Phaseolus vulgaris L.).烹饪豆(菜豆属)风味和质地的遗传变异和全基因组关联分析。
Theor Appl Genet. 2021 Mar;134(3):959-978. doi: 10.1007/s00122-020-03745-3. Epub 2021 Jan 3.

本文引用的文献

1
Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice ( L.) Using SNPs Markers.利用 SNP 标记进行水稻(L.)产量及产量相关性状的全基因组关联分析。
Genes (Basel). 2023 May 15;14(5):1089. doi: 10.3390/genes14051089.
2
Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat.单体型标记 SNP 提高了小麦赤霉病抗性和产量相关性状的基因组预测准确性。
Theor Appl Genet. 2023 Apr 3;136(4):92. doi: 10.1007/s00122-023-04352-8.
3
Meta-QTL Analysis for Yield Components in Common Bean ( L.).
菜豆(Phaseolus vulgaris L.)产量构成因素的Meta-QTL分析
Plants (Basel). 2022 Dec 26;12(1):117. doi: 10.3390/plants12010117.
4
InterPro in 2022.InterPro 在 2022 年。
Nucleic Acids Res. 2023 Jan 6;51(D1):D418-D427. doi: 10.1093/nar/gkac993.
5
Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean.全基因组关联荟萃分析为菜豆疾病抗性库提供了新的见解。
BMC Genomics. 2022 Oct 3;23(1):680. doi: 10.1186/s12864-022-08914-w.
6
Breeding for disease resistance in soybean: a global perspective.大豆抗病性的培育:全球视角。
Theor Appl Genet. 2022 Nov;135(11):3773-3872. doi: 10.1007/s00122-022-04101-3. Epub 2022 Jul 5.
7
Mapping Locus R and predicting candidate gene resistant to Soybean mosaic virus strain SC11 through linkage analysis combined with genome resequencing of the parents in soybean.通过连锁分析结合大豆亲本基因组重测序定位 L 基因并预测抗大豆花叶病毒 SC11 株系的候选基因。
Genomics. 2022 Jul;114(4):110387. doi: 10.1016/j.ygeno.2022.110387. Epub 2022 May 13.
8
Cis-regulatory sequences in plants: Their importance, discovery, and future challenges.植物中的顺式调控序列:重要性、发现和未来挑战。
Plant Cell. 2022 Feb 3;34(2):718-741. doi: 10.1093/plcell/koab281.
9
The aquaporin gene PvXIP1;2 conferring drought resistance identified by GWAS at seedling stage in common bean.通过全基因组关联分析在普通菜豆苗期鉴定出的水通道蛋白基因 PvXIP1;2 赋予抗旱性。
Theor Appl Genet. 2022 Feb;135(2):485-500. doi: 10.1007/s00122-021-03978-w. Epub 2021 Oct 26.
10
Genetic Mapping for Agronomic Traits in IAPAR 81/LP97-28 Population of Common Bean ( L.) under Drought Conditions.干旱条件下菜豆IAPAR 81/LP97-28群体农艺性状的遗传图谱构建
Plants (Basel). 2021 Jul 30;10(8):1568. doi: 10.3390/plants10081568.