Literature DB >> 34664160

Understanding population structure and detection of QTLs for curding-related traits in Indian cauliflower by genotyping by sequencing analysis.

K N Rakshita1, Shrawan Singh2, Veerender Kumar Verma3, Brij Bihari Sharma1, Navinder Saini4, Mir Asif Iquebal5, T K Behera1.   

Abstract

Curd initiation and development are complex traits and highly responsive for different temperature ranges in cauliflower. The present study was aimed to identify QTLs for eight traits associated with curding behaviour in diverse germplasm of Indian cauliflower. For this, 92 genotypes of cauliflower and 2 each of tropical broccoli and cabbage were genotyped through genotyping by sequencing (GBS). It generated ≈302 million reads (9.1226E + 10 bp) and identified 35,381 SNPs, maximum from chromosome 3 (4735) with a mean value of 3981.1 SNPs. Ts/Tv ratio was 1.74, suggesting transition bias. STRUCTURE analysis revealed delta value of K = 4 and four subpopulations and prominence of population admixture. In total, 121 significant SNPs were detected for eight traits, 38 for Delhi (North Indian plain) and 83 for Barapani (North-East India). Twelve QTLs were detected for traits associated with regulation of curd formation and development, five of which were for marketable curd length, curd width, days to 50% curd harvest and marketable curd weight from Delhi region and seven for curd length, curd width, days to 50% curd harvest, gross plant weight, leaf length, marketable/net curd weight and number of leaves per plant for Barapani area of North East India. The SNPs identified will be useful for development of markers for curding-related traits and their use in breeding varieties with wider curding plasticity.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  GBS; Indian cauliflower; Population structure; Quantitative trait loci; SNPs

Mesh:

Year:  2021        PMID: 34664160     DOI: 10.1007/s10142-021-00811-x

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  5 in total

1.  A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.

Authors:  Robert J Elshire; Jeffrey C Glaubitz; Qi Sun; Jesse A Poland; Ken Kawamoto; Edward S Buckler; Sharon E Mitchell
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

2.  Genome-Based Prediction of Time to Curd Induction in Cauliflower.

Authors:  Arne Rosen; Yaser Hasan; William Briggs; Ralf Uptmoor
Journal:  Front Plant Sci       Date:  2018-02-05       Impact factor: 5.753

3.  Genetic variation of temperature-regulated curd induction in cauliflower: elucidation of floral transition by genome-wide association mapping and gene expression analysis.

Authors:  Claudia Matschegewski; Holger Zetzsche; Yaser Hasan; Lena Leibeguth; William Briggs; Frank Ordon; Ralf Uptmoor
Journal:  Front Plant Sci       Date:  2015-09-10       Impact factor: 5.753

4.  Genome-Wide Single-Nucleotide Polymorphisms Discovery and High-Density Genetic Map Construction in Cauliflower Using Specific-Locus Amplified Fragment Sequencing.

Authors:  Zhenqing Zhao; Honghui Gu; Xiaoguang Sheng; Huifang Yu; Jiansheng Wang; Long Huang; Dan Wang
Journal:  Front Plant Sci       Date:  2016-03-21       Impact factor: 5.753

5.  Genetics and Expression Analysis of Anthocyanin Accumulation in Curd Portion of Sicilian Purple to Facilitate Biofortification of Indian Cauliflower.

Authors:  Shrawan Singh; Pritam Kalia; Rahul Kumar Meena; Manisha Mangal; Sabina Islam; Supradip Saha; Bhoopal S Tomar
Journal:  Front Plant Sci       Date:  2020-01-30       Impact factor: 5.753

  5 in total

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