Literature DB >> 25736370

Loci and candidate gene identification for resistance to Sclerotinia sclerotiorum in soybean (Glycine max L. Merr.) via association and linkage maps.

Xue Zhao1, Yingpeng Han, Yinghui Li, Dongyuan Liu, Mingming Sun, Yue Zhao, Chunmei Lv, Dongmei Li, Zhijiang Yang, Long Huang, Weili Teng, Lijuan Qiu, Hongkun Zheng, Wenbin Li.   

Abstract

Soybean white mold (SWM), caused by Sclerotinia sclerotiorum ((Lib.) W. Phillips), is currently considered to be the second most important cause of soybean yield loss due to disease. Research is needed to identify SWM-resistant germplasm and gain a better understanding of the genetic and molecular basis of SWM resistance in soybean. Stem pigmentation after treatment with oxaloacetic acid is an effective indicator of resistance to SWM. A total of 128 recombinant inbred lines (RILs) derived from a cross of 'Maple Arrow' (partial resistant to SWM) and 'Hefeng 25' (susceptible) and 330 diverse soybean cultivars were screened for the soluble pigment concentration of their stems, which were treated with oxalic acid. Four quantitative trait loci (QTLs) underlying soluble pigment concentration were detected by linkage mapping of the RILs. Three hundred and thirty soybean cultivars were sequenced using the whole-genome encompassing approach and 25 179 single-nucleotide polymorphisms (SNPs) were detected for the fine mapping of SWM resistance genes by genome-wide association studies. Three out of five SNP markers representing a linkage disequilibrium (LD) block and a single locus on chromosome 13 (Gm13) were significantly associated with the soluble pigment content of stems. Three more SNPs that represented three minor QTLs for the soluble pigment content of stems were identified on another three chromosomes by association mapping. A major locus with the largest effect on Gm13 was found both by linkage and association mapping. Four potential candidate genes involved in disease response or the anthocyanin biosynthesis pathway were identified at the locus near the significant SNPs (<60 kbp). The beneficial allele and candidate genes should be useful in soybean breeding for improving resistance to SWM.
© 2015 The Authors The Plant Journal © 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  GWA mapping; QTL mapping; Sclerotinia sclerotiorum; resistance genes; soybean white mold; stem pigmentation

Mesh:

Year:  2015        PMID: 25736370     DOI: 10.1111/tpj.12810

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  59 in total

1.  Loci and candidate gene identification for resistance to Phytophthora sojae via association analysis in soybean [Glycine max (L.) Merr].

Authors:  Lihong Li; Na Guo; Jingping Niu; Zili Wang; Xiaoxia Cui; Jutao Sun; Tuanjie Zhao; Han Xing
Journal:  Mol Genet Genomics       Date:  2016-01-13       Impact factor: 3.291

2.  Genome-wide association study of inflorescence length of cultivated soybean based on the high-throughout single-nucleotide markers.

Authors:  Jinyang Wang; Xue Zhao; Wei Wang; Yingfan Qu; Weili Teng; Lijuan Qiu; Hongkun Zheng; Yingpeng Han; Wenbin Li
Journal:  Mol Genet Genomics       Date:  2019-02-09       Impact factor: 3.291

3.  Leveraging genomic prediction to scan germplasm collection for crop improvement.

Authors:  Leonardo de Azevedo Peixoto; Tara C Moellers; Jiaoping Zhang; Aaron J Lorenz; Leonardo L Bhering; William D Beavis; Asheesh K Singh
Journal:  PLoS One       Date:  2017-06-09       Impact factor: 3.240

4.  Enhanced resistance to sclerotinia stem rot in transgenic soybean that overexpresses a wheat oxalate oxidase.

Authors:  Xiangdong Yang; Jing Yang; Yisheng Wang; Hongli He; Lu Niu; Dongquan Guo; Guojie Xing; Qianqian Zhao; Xiaofang Zhong; Li Sui; Qiyun Li; Yingshan Dong
Journal:  Transgenic Res       Date:  2018-11-26       Impact factor: 2.788

Review 5.  Breeding for disease resistance in soybean: a global perspective.

Authors:  Feng Lin; Sushil Satish Chhapekar; Caio Canella Vieira; Marcos Paulo Da Silva; Alejandro Rojas; Dongho Lee; Nianxi Liu; Esteban Mariano Pardo; Yi-Chen Lee; Zhimin Dong; Jose Baldin Pinheiro; Leonardo Daniel Ploper; John Rupe; Pengyin Chen; Dechun Wang; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2022-07-05       Impact factor: 5.699

6.  Overexpression of the chitinase gene CmCH1 from Coniothyrium minitans renders enhanced resistance to Sclerotinia sclerotiorum in soybean.

Authors:  Xiangdong Yang; Jing Yang; Haiyun Li; Lu Niu; Guojie Xing; Yuanyu Zhang; Wenjing Xu; Qianqian Zhao; Qiyun Li; Yingshan Dong
Journal:  Transgenic Res       Date:  2020-01-22       Impact factor: 2.788

7.  The genetics of resistance to lettuce drop (Sclerotinia spp.) in lettuce in a recombinant inbred line population from Reine des Glaces × Eruption.

Authors:  Bullo Erena Mamo; Ryan J Hayes; Maria José Truco; Krishna D Puri; Richard W Michelmore; Krishna V Subbarao; Ivan Simko
Journal:  Theor Appl Genet       Date:  2019-06-04       Impact factor: 5.699

8.  Detection and validation of genomic regions associated with resistance to rust diseases in a worldwide hexaploid wheat landrace collection using BayesR and mixed linear model approaches.

Authors:  Raj K Pasam; Urmil Bansal; Hans D Daetwyler; Kerrie L Forrest; Debbie Wong; Joanna Petkowski; Nicholas Willey; Mandeep Randhawa; Mumta Chhetri; Hanif Miah; Josquin Tibbits; Harbans Bariana; Matthew J Hayden
Journal:  Theor Appl Genet       Date:  2017-03-02       Impact factor: 5.699

9.  Analysis of the genetic architecture of maize ear and grain morphological traits by combined linkage and association mapping.

Authors:  Chaoshu Zhang; Zhiqiang Zhou; Hongjun Yong; Xiaochong Zhang; Zhuanfang Hao; Fangjun Zhang; Mingshun Li; Degui Zhang; Xinhai Li; Zhenhua Wang; Jianfeng Weng
Journal:  Theor Appl Genet       Date:  2017-02-18       Impact factor: 5.699

10.  Mapping quantitative trait loci (QTLs) and estimating the epistasis controlling stem rot resistance in cultivated peanut (Arachis hypogaea).

Authors:  Ziliang Luo; Renjie Cui; Carolina Chavarro; Yu-Chien Tseng; Hai Zhou; Ze Peng; Ye Chu; Xiping Yang; Yolanda Lopez; Barry Tillman; Nicholas Dufault; Timothy Brenneman; Thomas G Isleib; Corley Holbrook; Peggy Ozias-Akins; Jianping Wang
Journal:  Theor Appl Genet       Date:  2020-01-23       Impact factor: 5.699

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