Literature DB >> 24467895

SNP discovery and high-density genetic mapping in faba bean (Vicia faba L.) permits identification of QTLs for ascochyta blight resistance.

Sukhjiwan Kaur1, Rohan B E Kimber2, Noel O I Cogan1, Michael Materne3, John W Forster4, Jeffrey G Paull5.   

Abstract

Ascochyta blight, caused by the fungus Ascochyta fabae Speg., is a common and destructive disease of faba bean (Vicia faba L.) on a global basis. Yield losses vary from typical values of 35-40% to 90% under specific environmental conditions. Several sources of resistance have been identified and used in breeding programs. However, introgression of the resistance gene determinants into commercial cultivars as a gene pyramiding approach is reliant on selection of closely linked genetic markers. A total of 14,552 base variants were identified from a faba bean expressed sequence tag (EST) database, and were further quality assessed to obtain a set of 822 high-quality single nucleotide polymorphisms (SNPs). Sub-sets of 336 EST-derived simple sequence repeats (SSRs) and 768 SNPs were further used for high-density genetic mapping of a biparental faba bean mapping population (Icarus×Ascot) that segregates for resistance to ascochyta blight. The linkage map spanned a total length of 1216.8 cM with 12 linkage groups (LGs) and an average marker interval distance of 2.3 cM. Comparison of map structure to the genomes of closely related legume species revealed a high degree of conserved macrosynteny, as well as some rearrangements. Based on glasshouse evaluation of ascochyta blight resistance performed over two years, four genomic regions controlling resistance were identified on Chr-II, Chr-VI and two regions on Chr-I.A. Of these, one (QTL-3) may be identical with quantitative trait loci (QTLs) identified in prior studies, while the others (QTL-1, QTL-2 and QTL-4) may be novel. Markers in close linkage to ascochyta blight resistance genes identified in this study can be further validated and effectively implemented in faba bean breeding programs. Crown
Copyright © 2013. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Breeding; Comparative genetics; Disease resistance; Fungal disease; Grain legumes; Trait dissection

Mesh:

Year:  2013        PMID: 24467895     DOI: 10.1016/j.plantsci.2013.11.014

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  25 in total

1.  QTL delineation for five fiber quality traits based on an intra-specific Gossypium hirsutum L. recombinant inbred line population.

Authors:  Xiaoyun Jia; Hantao Wang; Chaoyou Pang; Qifeng Ma; Junji Su; Hengling Wei; Meizhen Song; Shuli Fan; Shuxun Yu
Journal:  Mol Genet Genomics       Date:  2018-02-08       Impact factor: 3.291

2.  Characterization of drought stress-responsive root transcriptome of faba bean (Vicia faba L.) using RNA sequencing.

Authors:  Salem S Alghamdi; Muhammad A Khan; Megahed H Ammar; Qiwei Sun; Lihua Huang; Hussein M Migdadi; Ehab H El-Harty; Sulieman A Al-Faifi
Journal:  3 Biotech       Date:  2018-11-27       Impact factor: 2.406

3.  Use of synteny to identify candidate genes underlying QTL controlling stomatal traits in faba bean (Vicia faba L.).

Authors:  Hamid Khazaei; Donal M O'Sullivan; Mikko J Sillanpää; Frederick L Stoddard
Journal:  Theor Appl Genet       Date:  2014-09-04       Impact factor: 5.699

4.  Relationship between geographical origin, seed size and genetic diversity in faba bean (Vicia faba L.) as revealed by SSR markers.

Authors:  Şurhan Göl; Sami Doğanlar; Anne Frary
Journal:  Mol Genet Genomics       Date:  2017-05-11       Impact factor: 3.291

Review 5.  Advances in disease and pest resistance in faba bean.

Authors:  Diego Rubiales; Hamid Khazaei
Journal:  Theor Appl Genet       Date:  2022-02-19       Impact factor: 5.699

6.  Saturation mapping of regions determining resistance to Ascochyta blight and broomrape in faba bean using transcriptome-based SNP genotyping.

Authors:  S Ocaña-Moral; N Gutiérrez; A M Torres; E Madrid
Journal:  Theor Appl Genet       Date:  2017-08-08       Impact factor: 5.699

Review 7.  Genomics-assisted breeding in four major pulse crops of developing countries: present status and prospects.

Authors:  Abhishek Bohra; Manish K Pandey; Uday C Jha; Balwant Singh; Indra P Singh; Dibendu Datta; Sushil K Chaturvedi; N Nadarajan; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2014-04-08       Impact factor: 5.699

8.  Development and application of the Faba_bean_130K targeted next-generation sequencing SNP genotyping platform based on transcriptome sequencing.

Authors:  Chenyu Wang; Rong Liu; Yujiao Liu; Wanwei Hou; Xuejun Wang; Yamei Miao; Yuhua He; Yu Ma; Guan Li; Dong Wang; Yishan Ji; Hongyan Zhang; Mengwei Li; Xin Yan; Xuxiao Zong; Tao Yang
Journal:  Theor Appl Genet       Date:  2021-06-12       Impact factor: 5.699

9.  Morphological, molecular characterization, plant pathogenicity and biocontrol of Cladosporium complex groups associated with faba beans.

Authors:  Eman Gamal Abd Elnaser Mohamed El-Dawy; Youssuf Ahmed Gherbawy; Mohamed Ahmed Hussein
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

10.  Large-Scale Transcriptome Analysis in Faba Bean (Vicia faba L.) under Ascochyta fabae Infection.

Authors:  Sara Ocaña; Pedro Seoane; Rocio Bautista; Carmen Palomino; Gonzalo M Claros; Ana M Torres; Eva Madrid
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.