Literature DB >> 30109392

A 55 K SNP array-based genetic map and its utilization in QTL mapping for productive tiller number in common wheat.

Jiajun Liu1, Wei Luo1, Nana Qin1, Puyang Ding1, Han Zhang1, Congcong Yang1, Yang Mu1, Huaping Tang1, Yaxi Liu1, Wei Li2, Qiantao Jiang1, Guoyue Chen1, Yuming Wei1, Youliang Zheng1, Chunji Liu3, Xiujin Lan4, Jian Ma5.   

Abstract

KEY MESSAGE: A high-density genetic map constructed with a wheat 55 K SNP array was highly consistent with the physical map of this species and it facilitated the identification of a novel major QTL for productive tiller number. Productive tiller number (PTN) plays a key role in wheat grain yield. In this study, a recombinant inbred line population with 199 lines derived from a cross between '20828' and 'Chuannong16' was used to construct a high-density genetic map using wheat 55 K single nucleotide polymorphism (SNP) array. The constructed genetic map contains 12,109 SNP markers spanning 3021.04 cM across the 21 wheat chromosomes. The orders of the genetic and physical positions of these markers are generally in agreement, and they also match well with those based on the 660 K SNP array from which the one used in this study was derived. The ratios of SNPs located in each of the wheat deletion bins were similar among the wheat 9 K, 55 K, 90 K, 660 K and 820 K SNP arrays. Based on the constructed maps, a novel major quantitative trait locus QPtn.sau-4B for PTN was detected across multi-environments in a 0.55 cM interval on 4B and it explained 17.23-45.46% of the phenotypic variance. Twenty common genes in the physical interval between the flanking markers were identified on chromosome 4B of 'Chinese Spring' and wild emmer. These results indicate that wheat 55 K SNP array could be an ideal tool in primary mapping of target genes and the identification of QPtn.sau-4B laid a foundation for the following fine mapping and cloning work.

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Year:  2018        PMID: 30109392     DOI: 10.1007/s00122-018-3164-9

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  34 in total

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