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

Author:

Jin Song1ORCID,Tian Huilin1ORCID,Ti Ming1,Song Jia1,Hu Zhenbang12,Zhang Zhanguo23ORCID,Xin Dawei12ORCID,Chen Qingshan12,Zhu Rongsheng23

Affiliation:

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

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

3. College of Arts and Sciences, Northeast Agricultural University, Harbin 150030, China

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, Glyma.07G234200, 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.

Funder

National Key Research and Development Program of the “14th Five Year Plan”

Research and Application of the Key Technologies for Intelligent Farming Decision Platform, An Open Competition Project of Heilongjiang Province, China

Natural Science Foundation of Heilongjiang Province of China

Publisher

MDPI AG

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