Literature DB >> 26571424

Dissecting the Genetic Architecture of Leaf Rust Resistance in Wheat by QTL Meta-Analysis.

Jose Miguel Soriano1, Conxita Royo1.   

Abstract

Leaf rust is an important disease that causes significant yield losses in wheat. Many studies have reported the identification of quantitative trait loci (QTL) controlling leaf rust resistance; therefore, QTL meta-analysis has become a useful tool for identifying consensus QTL and refining QTL positions among them. In this study, QTL meta-analysis was conducted using reported results on the number, position, and effects of QTL for leaf rust resistance in bread and durum wheat. Investigation of 14 leaf rust resistance traits from 19 studies involving 20 mapping populations and 33 different parental lines provided information for 144 unique QTL that were projected onto the Wheat Composite 2004 reference map. In total, 35 meta-QTL for leaf rust resistance traits were identified in 17 wheat chromosomes and 13 QTL remained as unique QTL. The results will facilitate further work on the cloning of QTL for pyramiding minor- and partial-effect resistance genes to develop varieties with durable resistance to leaf rust.

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Year:  2015        PMID: 26571424     DOI: 10.1094/PHYTO-05-15-0130-R

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  21 in total

1.  Integrating CNVs into meta-QTL identified GBP4 as positional candidate for adult cattle stature.

Authors:  Xiu-Kai Cao; Yong-Zhen Huang; Yi-Lei Ma; Jie Cheng; Zhen-Xian Qu; Yun Ma; Yue-Yu Bai; Feng Tian; Feng-Peng Lin; Yu-Lin Ma; Hong Chen
Journal:  Funct Integr Genomics       Date:  2018-05-08       Impact factor: 3.410

2.  Meta-QTLs for multiple disease resistance involving three rusts in common wheat (Triticum aestivum L.).

Authors:  Neeraj Pal; Irfat Jan; Dinesh Kumar Saini; Kuldeep Kumar; Anuj Kumar; P K Sharma; Sundip Kumar; H S Balyan; P K Gupta
Journal:  Theor Appl Genet       Date:  2022-06-14       Impact factor: 5.574

3.  Meta-QTL analysis and identification of candidate genes for drought tolerance in bread wheat (Triticum aestivum L.).

Authors:  Anuj Kumar; Gautam Saripalli; Irfat Jan; Kuldeep Kumar; P K Sharma; H S Balyan; P K Gupta
Journal:  Physiol Mol Biol Plants       Date:  2020-07-30

4.  A novel QTL QTrl.saw-2D.2 associated with the total root length identified by linkage and association analyses in wheat (Triticum aestivum L.).

Authors:  Xingwei Zheng; Xiaojie Wen; Ling Qiao; Jiajia Zhao; Xiaojun Zhang; Xin Li; Shuwei Zhang; Zujun Yang; Zhijian Chang; Jianli Chen; Jun Zheng
Journal:  Planta       Date:  2019-04-03       Impact factor: 4.116

Review 5.  Integration of sudden death syndrome resistance loci in the soybean genome.

Authors:  Hao-Xun Chang; Mitchell G Roth; Dechun Wang; Silvia R Cianzio; David A Lightfoot; Glen L Hartman; Martin I Chilvers
Journal:  Theor Appl Genet       Date:  2018-02-12       Impact factor: 5.699

6.  Physical mapping of QTL associated with agronomic and end-use quality traits in spring wheat under conventional and organic management systems.

Authors:  Kassa Semagn; Muhammad Iqbal; Hua Chen; Enid Perez-Lara; Darcy H Bemister; Rongrong Xiang; Jun Zou; Muhammad Asif; Atif Kamran; Amidou N'Diaye; Harpinder Randhawa; Brian L Beres; Curtis Pozniak; Dean Spaner
Journal:  Theor Appl Genet       Date:  2021-07-31       Impact factor: 5.699

7.  Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat.

Authors:  Yang Yang; Aduragbemi Amo; Di Wei; Yongmao Chai; Jie Zheng; Pengfang Qiao; Chunge Cui; Shan Lu; Liang Chen; Yin-Gang Hu
Journal:  Theor Appl Genet       Date:  2021-06-17       Impact factor: 5.699

Review 8.  Climate change will influence disease resistance breeding in wheat in Northwestern Europe.

Authors:  Thomas Miedaner; Peter Juroszek
Journal:  Theor Appl Genet       Date:  2021-03-13       Impact factor: 5.699

9.  Quantitative trait loci mapping for free amino acid content using an albino population and SNP markers provides insight into the genetic improvement of tea plants.

Authors:  Rong Huang; Jun-Ya Wang; Ming-Zhe Yao; Chun-Lei Ma; Liang Chen
Journal:  Hortic Res       Date:  2022-01-05       Impact factor: 7.291

10.  Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis.

Authors:  Jose Miguel Soriano; Marcos Malosetti; Martina Roselló; Mark Earl Sorrells; Conxita Royo
Journal:  PLoS One       Date:  2017-05-25       Impact factor: 3.240

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