Data

Genetic mapping and characterization of Verticillium Wilt resistance in a recombinant inbred population of Upland cotton

Commonwealth Scientific and Industrial Research Organisation
Wilson, Iain ; Moncuquet, Philippe ; Yuan, Ray ; Li, Zitong ; Stiller, Warwick ; Zhu, Qian-Hao
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/41ab-xc19&rft.title=Genetic mapping and characterization of Verticillium Wilt resistance in a recombinant inbred population of Upland cotton&rft.identifier=https://doi.org/10.25919/41ab-xc19&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Abstract: Verticillium wilt (VW) is an important and widespread disease of cotton and once established is long lived and difficult to manage. In Australia, the non-defoliating pathotype of Verticillium dahliae is the most common and extremely virulent. Breeding cotton varieties with increased VW resistance is the most economical and effective method of controlling this disease, and is greatly aided by understanding the genetics of resistance. In this study VW resistance was investigated in 240 F7 recombinant inbred lines (RIL) derived from a cross between MCU-5 that has good resistance and Siokra 1-4 which is susceptible. Using a controlled environment bioassay, resistance based on plant survival or shoot biomass was complex but with major contributions from chromosomes D03 and D09. with genomic prediction analysis estimating a prediction value of 0.73 based on survival scores compared to 0.36 for shoot biomass. Transcriptome analysis of MCU-5 and Siokra 1-4 roots infected with VW revealed that the two cultivars displayed very different root transcriptomes. Cross checking between differentially expressed genes that are located to the mapped resistance regions, identified 104 potential candidates associated with VW resistance.&rft.creator=Wilson, Iain &rft.creator=Moncuquet, Philippe &rft.creator=Yuan, Ray &rft.creator=Li, Zitong &rft.creator=Stiller, Warwick &rft.creator=Zhu, Qian-Hao &rft.date=2024&rft.edition=v2&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO, Cotton Seed Distributers Ltd. 2023.&rft_subject=Cotton Transcriptomics Disease Resistance&rft_subject=Plant cell and molecular biology&rft_subject=Plant biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Plant pathology&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO, Cotton Seed Distributers Ltd. 2023.

Access:

Open view details

Accessible for free

Contact Information



Full description

Abstract: Verticillium wilt (VW) is an important and widespread disease of cotton and once established is long lived and difficult to manage. In Australia, the non-defoliating pathotype of Verticillium dahliae is the most common and extremely virulent. Breeding cotton varieties with increased VW resistance is the most economical and effective method of controlling this disease, and is greatly aided by understanding the genetics of resistance. In this study VW resistance was investigated in 240 F7 recombinant inbred lines (RIL) derived from a cross between MCU-5 that has good resistance and Siokra 1-4 which is susceptible. Using a controlled environment bioassay, resistance based on plant survival or shoot biomass was complex but with major contributions from chromosomes D03 and D09. with genomic prediction analysis estimating a prediction value of 0.73 based on survival scores compared to 0.36 for shoot biomass. Transcriptome analysis of MCU-5 and Siokra 1-4 roots infected with VW revealed that the two cultivars displayed very different root transcriptomes. Cross checking between differentially expressed genes that are located to the mapped resistance regions, identified 104 potential candidates associated with VW resistance.

Available: 2024-02-05

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

ACN 633 798 857