Harsha Vardhan Rayudu Jamedar, Prasad Gandham, Prasad Bajaj, Srinivas Thati, V. Srinivasa Rao, Rajeev K. Varshney, Rachit K. Saxena
{"title":"鉴定鸽子豆(Cajanus cajan L.)种子蛋白质含量的优良单倍型","authors":"Harsha Vardhan Rayudu Jamedar, Prasad Gandham, Prasad Bajaj, Srinivas Thati, V. Srinivasa Rao, Rajeev K. Varshney, Rachit K. Saxena","doi":"10.1007/s13562-024-00884-2","DOIUrl":null,"url":null,"abstract":"<p>Pigeonpea (<i>Cajanus cajan</i> L.) is an important source of quality dietary protein for over a billion people worldwide. The seeds of pigeonpea contain approximately 20–22% digestible protein, which makes it a valuable source of nutrition. Despite this, there has been little attention paid to enhancing the seed protein content (SPC) through genetic means. Recently, high-protein germplasm lines have been discovered in the secondary gene pool, which presents an opportunity to breed for high-protein cultivars. To accelerate the breeding process, genomics-assisted breeding (GAB) can be utilized. In this context, this study identified the superior haplotypes for the genes that control SPC in pigeonpea. Whole-genome re-sequencing (WGRS) data from 344 pigeonpea genotypes were analyzed to identify the superior haplotypes for 57 SPC governing genes. A total of 231 haplotypes in 43 candidate genes were identified, and haplo-pheno analysis was performed to provide superior haplotypes for 10 genes. The identification of superior haplotypes and genotypes will greatly facilitate the development of protein-rich pigeonpea seeds through the application of haplotype-based breeding (HBB).</p>","PeriodicalId":16835,"journal":{"name":"Journal of Plant Biochemistry and Biotechnology","volume":"27 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of superior haplotypes for seed protein content in pigeonpea (Cajanus cajan L.)\",\"authors\":\"Harsha Vardhan Rayudu Jamedar, Prasad Gandham, Prasad Bajaj, Srinivas Thati, V. Srinivasa Rao, Rajeev K. Varshney, Rachit K. Saxena\",\"doi\":\"10.1007/s13562-024-00884-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Pigeonpea (<i>Cajanus cajan</i> L.) is an important source of quality dietary protein for over a billion people worldwide. The seeds of pigeonpea contain approximately 20–22% digestible protein, which makes it a valuable source of nutrition. Despite this, there has been little attention paid to enhancing the seed protein content (SPC) through genetic means. Recently, high-protein germplasm lines have been discovered in the secondary gene pool, which presents an opportunity to breed for high-protein cultivars. To accelerate the breeding process, genomics-assisted breeding (GAB) can be utilized. In this context, this study identified the superior haplotypes for the genes that control SPC in pigeonpea. Whole-genome re-sequencing (WGRS) data from 344 pigeonpea genotypes were analyzed to identify the superior haplotypes for 57 SPC governing genes. A total of 231 haplotypes in 43 candidate genes were identified, and haplo-pheno analysis was performed to provide superior haplotypes for 10 genes. The identification of superior haplotypes and genotypes will greatly facilitate the development of protein-rich pigeonpea seeds through the application of haplotype-based breeding (HBB).</p>\",\"PeriodicalId\":16835,\"journal\":{\"name\":\"Journal of Plant Biochemistry and Biotechnology\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Plant Biochemistry and Biotechnology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s13562-024-00884-2\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Plant Biochemistry and Biotechnology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s13562-024-00884-2","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Identification of superior haplotypes for seed protein content in pigeonpea (Cajanus cajan L.)
Pigeonpea (Cajanus cajan L.) is an important source of quality dietary protein for over a billion people worldwide. The seeds of pigeonpea contain approximately 20–22% digestible protein, which makes it a valuable source of nutrition. Despite this, there has been little attention paid to enhancing the seed protein content (SPC) through genetic means. Recently, high-protein germplasm lines have been discovered in the secondary gene pool, which presents an opportunity to breed for high-protein cultivars. To accelerate the breeding process, genomics-assisted breeding (GAB) can be utilized. In this context, this study identified the superior haplotypes for the genes that control SPC in pigeonpea. Whole-genome re-sequencing (WGRS) data from 344 pigeonpea genotypes were analyzed to identify the superior haplotypes for 57 SPC governing genes. A total of 231 haplotypes in 43 candidate genes were identified, and haplo-pheno analysis was performed to provide superior haplotypes for 10 genes. The identification of superior haplotypes and genotypes will greatly facilitate the development of protein-rich pigeonpea seeds through the application of haplotype-based breeding (HBB).
期刊介绍:
The Journal publishes review articles, research papers, short communications and commentaries in the areas of plant biochemistry, plant molecular biology, microbial and molecular genetics, DNA finger printing, micropropagation, and plant biotechnology including plant genetic engineering, new molecular tools and techniques, genomics & bioinformatics.