{"title":"Genetic dissection of total protein content, phenolic content and seed quality traits in pigeonpea (Cajanus cajan) using 62K pigeonpea genic SNP chip.","authors":"Megha Ujinwal, Nisha Singh, Sapna Langyan, Nagendra Kumar Singh","doi":"10.1007/s00438-025-02235-9","DOIUrl":null,"url":null,"abstract":"<p><p>Pigeonpea (Cajanus cajan L. Millsp.), South Asia's second most significant pulse crop and source of dietary protein, is facing production issues due to a lack of improved varieties with high nutritional and seed quality compositions, as well as environmental stress. Identification of genes/alleles governing the nutritional and seed quality traits is key for marker-assisted breeding for quality traits in pigeonpea. Hence, the present study was undertaken to unravel the complex genetic architecture of nutritional and seed quality traits in pigeonpea. We conducted a genome-wide association study (GWAS) to identify SNP markers associated with nutritional traits, namely total protein content (TPC), phenolics content, and seed quality traits, such as seed coat colour, length, width, size, shape, and weight using a 62K SNP genotyping chip array. We estimated TPC of a panel of 287 diverse pigeonpea genotypes using Kjeldahl method to identify 5 significant SNPs associated with TPC on chromosomes 6 and 11 (AX-165344137), encoding a putative disease resistance protein, and Chromosome 11 (AX-165358192), encoding a CBL-interacting serine/threonine-protein kinase. We identified five markers associated with the seed coat colour on Chromosomes 5 (AX-165369586), 2 (AX-165370277), and 8 (AX-165400346). Additionally, we identified 4, 6, 2, 3, 6, and 5 SNPs associated with phenolics content, seed length, seed shape, seed width, seed size, and seed weight, respectively. The study's findings are projected to bring considerable benefits to pigeonpea producers in marker-assisted breeding for the production of varieties with improved protein content and seed quality traits corresponded to consumer preferences, as well as promote improved health and nutrition. Therefore, GWAS provides strong support for exploring the genetic mechanisms underlying important pigeonpea qualities and improving breeding strategies.</p>","PeriodicalId":18816,"journal":{"name":"Molecular Genetics and Genomics","volume":"300 1","pages":"44"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Genetics and Genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s00438-025-02235-9","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Pigeonpea (Cajanus cajan L. Millsp.), South Asia's second most significant pulse crop and source of dietary protein, is facing production issues due to a lack of improved varieties with high nutritional and seed quality compositions, as well as environmental stress. Identification of genes/alleles governing the nutritional and seed quality traits is key for marker-assisted breeding for quality traits in pigeonpea. Hence, the present study was undertaken to unravel the complex genetic architecture of nutritional and seed quality traits in pigeonpea. We conducted a genome-wide association study (GWAS) to identify SNP markers associated with nutritional traits, namely total protein content (TPC), phenolics content, and seed quality traits, such as seed coat colour, length, width, size, shape, and weight using a 62K SNP genotyping chip array. We estimated TPC of a panel of 287 diverse pigeonpea genotypes using Kjeldahl method to identify 5 significant SNPs associated with TPC on chromosomes 6 and 11 (AX-165344137), encoding a putative disease resistance protein, and Chromosome 11 (AX-165358192), encoding a CBL-interacting serine/threonine-protein kinase. We identified five markers associated with the seed coat colour on Chromosomes 5 (AX-165369586), 2 (AX-165370277), and 8 (AX-165400346). Additionally, we identified 4, 6, 2, 3, 6, and 5 SNPs associated with phenolics content, seed length, seed shape, seed width, seed size, and seed weight, respectively. The study's findings are projected to bring considerable benefits to pigeonpea producers in marker-assisted breeding for the production of varieties with improved protein content and seed quality traits corresponded to consumer preferences, as well as promote improved health and nutrition. Therefore, GWAS provides strong support for exploring the genetic mechanisms underlying important pigeonpea qualities and improving breeding strategies.
鸽豆(Cajanus cajan L. Millsp.)是南亚第二大豆类作物和膳食蛋白质来源,由于缺乏具有高营养和种子质量成分的改良品种以及环境胁迫,正面临生产问题。控制营养性状和种子品质性状的基因/等位基因的鉴定是鸽豆品质性状标记辅助育种的关键。因此,本研究旨在揭示鸽豆营养和种子品质性状的复杂遗传结构。利用62K SNP基因分型芯片阵列,开展了一项全基因组关联研究(GWAS),以鉴定与营养性状(即总蛋白含量(TPC)、酚类物质含量和种子品质性状(如种皮颜色、长度、宽度、大小、形状和重量)相关的SNP标记。我们使用凯氏定氮法对287个不同基因型的鸽子的TPC进行了估计,并在6号染色体和11号染色体(AX-165344137)和11号染色体(AX-165358192)上鉴定了5个与TPC相关的显著snp,编码一种假定的抗病蛋白,编码一种与ccl相互作用的丝氨酸/苏氨酸蛋白激酶。我们在5号染色体(AX-165369586)、2号染色体(AX-165370277)和8号染色体(AX-165400346)上鉴定了5个与种皮颜色相关的标记。此外,我们还分别鉴定出4、6、2、3、6和5个与酚类物质含量、种子长度、种子形状、种子宽度、种子大小和种子重量相关的snp。预计该研究结果将为鸽子豆生产者带来相当大的好处,通过标记辅助育种,生产出蛋白质含量更高、种子质量特征符合消费者偏好的品种,并促进改善健康和营养。因此,GWAS为探索鸽豆重要品质的遗传机制和改进育种策略提供了强有力的支持。
期刊介绍:
Molecular Genetics and Genomics (MGG) publishes peer-reviewed articles covering all areas of genetics and genomics. Any approach to the study of genes and genomes is considered, be it experimental, theoretical or synthetic. MGG publishes research on all organisms that is of broad interest to those working in the fields of genetics, genomics, biology, medicine and biotechnology.
The journal investigates a broad range of topics, including these from recent issues: mechanisms for extending longevity in a variety of organisms; screening of yeast metal homeostasis genes involved in mitochondrial functions; molecular mapping of cultivar-specific avirulence genes in the rice blast fungus and more.