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

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Title Understanding population structure and detection of QTLs for curding‑related traits in Indian cauliflower by genotyping by sequencing analysis
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Creator K. N. Rakshita
Shrawan Singh
Veerender Kumar Verma
Brij Bihari Sharma
Navinder Saini
Mir Asif Iquebal
T. K. Behera
 
Subject Indian cauliflower
Population structure
GBS
SNPs
Quantitative trait loci
 
Description Not Available
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. STRU CTU
RE 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.
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Date 2022-03-15T09:53:26Z
2022-03-15T09:53:26Z
2021-10-18
 
Type Research Paper
 
Identifier Rakshita, K.N., Singh, S., Verma, V.K. et al. Understanding population structure and detection of QTLs for curding-related traits in Indian cauliflower by genotyping by sequencing analysis. Funct Integr Genomics 21, 679–693 (2021). https://doi.org/10.1007/s10142-021-00811-x
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http://krishi.icar.gov.in/jspui/handle/123456789/70244
 
Language English
 
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Publisher Not Available