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ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019

Development of tightly linked markers and identification of candidate genes for Fusarium crown rot resistance in barley by exploiting a near-isogenic line-derived population.

Yunfeng Jiang, Ahsan Habib, Zhi Zheng, Meixue Zhou, Yuming Wei, You-Liang Zheng, Chunji Liu

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Fine mapping of theFrontiers in plant science · 2022
    Article
  5. Article
  6. Article
  7. Identification of a novel genomic region associated with resistance to Fusarium crown rot in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yunfeng JiangCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, St. Lucia, QLD, 4067, Australia.
Ahsan HabibCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, St. Lucia, QLD, 4067, Australia.
Zhi ZhengCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, St. Lucia, QLD, 4067, Australia.
Meixue ZhouSchool of Land and Food and Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 54, Hobart, TAS, 7001, Australia.
Yuming WeiTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
You-Liang ZhengTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Chunji LiuCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, St. Lucia, QLD, 4067, Australia. chunji.liu@csiro.au.ORCID http://orcid.org/0000-0003-3399-7743

Funding

Grains Research and Development Corporation CFF00010
6 · The paper itself

Abstract

key messageThis study demonstrates the feasibility of developing co-segregating markers and identifying candidate genes for Fusarium crown rot resistance in barley based on the generation and exploitation of a near-isogenic line-derived large population. Fusarium crown rot (FCR) is a chronic and severe disease in cereals in semi-arid regions worldwide. Previous studies showed that FCR assessment could be affected by many factors including plant height, growth rate as well as drought stress. Thus, accurate assessment, which is essential for detailed mapping of any locus conferring FCR resistance, is difficult. Targeting one of the resistance loci reported earlier, we developed a near-isogenic line-derived population consisting of 1820 F9 lines. By analysing this population, the Qcrs.cpi-4H locus was mapped to an interval of 0.09 cM covering a physical distance of about 637 kb and 13 markers co-segregating with the targeted locus were developed. Candidate genes underlying the resistance locus were identified by analysing the expression and sequence variation of genes in the targeted interval. The accurate localization and the development of co-segregating markers should facilitate the incorporation of this large-effect QTL into breeding programmes as well as the cloning of gene(s) underlying the locus.

Indexed as

Genetic MarkersPlant BreedingChromosome MappingDisease ResistanceFusariumHordeumPlant DiseasesGenetic Markers

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.