Development of a composite core collection from 5,856 Sesame accessions being conserved in the Indian National Genebank.

IF 2.5 Q3 GENETICS & HEREDITY
Pradeep Ruperao, Kapil Tiwari, Vandana Rai, Rashmi Yadav, Mahalingam Angamuthu, Anuj Kumar Singh, Bhemji P Galvadiya, Anshuman Shah, Nitin Gadol, Ajay Kumar, Rajkumar Subramani, Harinder Vishwakarma, Pradheep Kanakasabapathi, Senthilraja Govindasamy, Rasna Maurya, Tamanna Batra, Aravind Jayaraman, Senthil Ramachandran, Abhishek Rathore, Kuldeep Singh, Rakesh Singh, Sanjay Kalia, Ulavappa B Angadi, Sean Mayes, Gyanendra Pratap Singh, Parimalan Rangan
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Abstract

Objectives: A composite core collection (CCC) in sesame (Sesamum indicum L.) will help utilize genetic resources efficiently. This study reports, using genomics tools, a representative minimal set (CCC) that capture maximal genetic diversity from a set of 5,856 sesame accessions being conserved at the National Genebank (NGB) of the ICAR-NBPGR. The CCC will serve as a valuable resource for researchers and breeders to facilitate sesame improvement for traits such as yield, disease resistance, stress resilience, and nutritional content. Ultimately, this work contributes to the broader goal of improving sesame for an ever-increasing demand for vegetable oil, to meet our food security challenges.

Data description: This study presents ddRAD-seq data for a total of 5,856 sesame accessions that includes 2,496 accessions (a subset of 5,856 accessions) that was reported by us recently. Using next-generation sequencing (NGS) short-reads over 2.16 Terabases of sequence data were generated, with each sample averaging 1.2 million reads. The study identifies a set of 1,768 sesame accessions as the CCC that captures maximal diversity, genotypic and phenotypic. This will aid researchers in trait discovery, association studies, pre-breeding, and parental selection for complex traits viz., yield, disease resistance, stress resilience, and other economically important traits.

从印度国家基因库保存的5,856份芝麻种质资源中建立复合核心馆藏。
目的:建立芝麻(Sesamum indicum L.)复合核心种质资源,有助于有效利用芝麻遗传资源。本研究报告了使用基因组学工具,从ICAR-NBPGR国家基因库(NGB)保存的一组5,856份芝麻材料中捕获最大遗传多样性的代表性最小集(CCC)。该中心将为研究人员和育种者提供宝贵的资源,以促进芝麻在产量、抗病性、抗逆性和营养成分等性状方面的改进。最终,这项工作有助于改善芝麻的更广泛目标,以满足不断增长的植物油需求,以应对我们的粮食安全挑战。数据描述:本研究提供了总计5856份芝麻的ddRAD-seq数据,其中包括我们最近报道的2496份(5856份的一个子集)。利用下一代测序技术(NGS)生成了超过2.16 tb的序列数据,每个样本平均为120万reads。该研究确定了一组1768份芝麻材料作为捕获最大多样性,基因型和表型的CCC。这将有助于研究人员进行性状发现、关联研究、预育种和复杂性状的亲本选择,如产量、抗病性、抗逆性和其他经济上重要的性状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.90
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