Suppr超能文献

基于计算机视觉和全基因组关联研究的大豆花大小表型的遗传分析。

Genetic Analysis of Soybean Flower Size Phenotypes Based on Computer Vision and Genome-Wide Association Studies.

机构信息

College of Agriculture, Northeast Agricultural University, Harbin 150030, China.

National Key Laboratory of Smart Farm Technolog and System, Harbin 150030, China.

出版信息

Int J Mol Sci. 2024 Jul 11;25(14):7622. doi: 10.3390/ijms25147622.

Abstract

The dimensions of organs such as flowers, leaves, and seeds are governed by processes of cellular proliferation and expansion. In soybeans, the dimensions of these organs exhibit a strong correlation with crop yield, quality, and other phenotypic traits. Nevertheless, there exists a scarcity of research concerning the regulatory genes influencing flower size, particularly within the soybean species. In this study, 309 samples of 3 soybean types (123 cultivar, 90 landrace, and 96 wild) were re-sequenced. The microscopic phenotype of soybean flower organs was photographed using a three-eye microscope, and the phenotypic data were extracted by means of computer vision. Pearson correlation analysis was employed to assess the relationship between petal and seed phenotypes, revealing a strong correlation between the sizes of these two organs. Through GWASs, SNP loci significantly associated with flower organ size were identified. Subsequently, haplotype analysis was conducted to screen for upstream and downstream genes of these loci, thereby identifying potential candidate genes. In total, 77 significant SNPs associated with vexil petals, 562 significant SNPs associated with wing petals, and 34 significant SNPs associated with keel petals were found. Candidate genes were screened by candidate sites, and haplotype analysis was performed on the candidate genes. Finally, the present investigation yielded 25 and 10 genes of notable significance through haplotype analysis in the vexil and wing regions, respectively. Notably, , previously documented for its high expression across various plant organs, including flowers, pods, leaves, roots, and seeds, was among these identified genes. The research contributes novel insights to soybean breeding endeavors, particularly in the exploration of genes governing organ development, the selection of field materials, and the enhancement of crop yield. It played a role in the process of material selection during the growth period and further accelerated the process of soybean breeding material selection.

摘要

器官(如花、叶和种子)的大小由细胞增殖和扩张过程决定。在大豆中,这些器官的大小与作物产量、品质和其他表型特征密切相关。然而,关于影响花大小的调控基因的研究相对较少,特别是在大豆物种中。在这项研究中,对 3 种大豆类型(123 个品种、90 个地方品种和 96 个野生品种)的 309 个样本进行了重测序。使用三目显微镜拍摄大豆花器官的微观表型,并通过计算机视觉提取表型数据。通过 Pearson 相关分析评估了花瓣和种子表型之间的关系,发现这两个器官的大小之间存在很强的相关性。通过 GWASs 鉴定与花器官大小显著相关的 SNP 位点。随后,进行单倍型分析以筛选这些位点的上下游基因,从而鉴定潜在的候选基因。总共发现了 77 个与旗瓣大小显著相关的显著 SNP、562 个与翼瓣大小显著相关的显著 SNP 和 34 个与龙骨瓣大小显著相关的显著 SNP。通过候选位点筛选候选基因,并对候选基因进行单倍型分析。最终,通过单倍型分析在旗瓣和翼瓣区域分别筛选出 25 个和 10 个显著意义的基因。值得注意的是, ,先前在包括花、荚、叶、根和种子在内的各种植物器官中都有高表达的记录,是这些鉴定基因中的一员。本研究为大豆育种工作提供了新的见解,特别是在探索控制器官发育的基因、田间材料的选择和提高作物产量方面。它在生长期间的材料选择过程中发挥了作用,并进一步加速了大豆育种材料选择的过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c21/11277310/9a414ccce299/ijms-25-07622-g001.jpg

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