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Mapping of dynamic QTLs for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in a backcross inbred line population of Upland cotton

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A backcross inbred line population of cotton was evaluated for Fusarium wilt race 4 resistance at different days after inoculation (DAI). Both constitutively expressed and developmentally regulated QTLs were detected.

Abstract

The soil-borne fungus Fusarium oxysporum f. sp. vasinfectum (FOV) race 4 (FOV4) causes Fusarium wilt including seedling mortality in cotton. A backcross inbred line (BIL) population of 181 lines, derived from a bi-parental cross of moderately resistant non-recurrent Hai 7124 (Gossypium barbadense) and recurrent parent CCRI 36 (G. hirsutum), was evaluated under temperature-controlled conditions for FOV4 resistance with artificial inoculations. Based on three replicated tests evaluated at 7, 14, 21, and 28 days after inoculation (DAI), only 2–5 BILs showed lower disease severity ratings (DSR) than the parents while 22–50 BILs were more susceptible, indicating transgressive segregation toward susceptibility. Although DSR were overall congruent between DAI, there were many BILs displaying different responses to FOV4 across DAI. Genetic mapping using 7709 SNP markers identified 42 unique QTLs for four evaluation parameters- disease incidence (DI), DSR, mortality rate (MR), and area under disease progress curve (AUDPC), including 26 for two or more parameters. All five QTLs for AUDPC were co-localized with QTLs for DI, DSR, and/or MR at one or two DAI, indicating the unnecessary use of AUDPC in QTL mapping for FOV4 resistance. Those common QTLs explained the significant positive associations between parameters observed. Ten common QTLs with negative or positive additive effects were detected between DAI. DAI-specific and consistent QTLs were detected between DAI in cotton for the first time, suggesting the existence of both constitutively expressed and developmentally regulated QTLs for FOV4 resistance and the importance of evaluating genetic populations for FOV4 resistance at different growth stages.

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Funding

This research work was supported by Cotton Incorporated (grant numbers 12-257 and 21-076).

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Author notes

  1. Jinfa Zhang, Abdelraheem Abdelraheem and Jianjiang Ma contributed equally.

Authors and Affiliations

  1. Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA

    Jinfa Zhang, Abdelraheem Abdelraheem & Yi Zhu

  2. Texas A&M AgriLife Research, 1102 E. Drew St., Lubbock, TX, 79403, USA

    Jane Dever & Terry A. Wheeler

  3. National Key Laboratory of Cotton Biology, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China

    Jianjiang Ma & Jiwen Yu

  4. Cotton Incorporated, Cary, NC, USA

    Kater Hake & Tom Wedegaertner

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  1. Jinfa Zhang
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  2. Abdelraheem Abdelraheem
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  3. Jianjiang Ma
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  4. Yi Zhu
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  9. Jiwen Yu
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Contributions

JZ and JY conceived and designed the study, and drafted the manuscript. AA and YZ performed the phenotyping experiment and analyzed the data. JM developed SNP markers and performed QTL analysis. JD and TW participated in the study and revised the manuscript. TW and HH supported the study. All authors read and approved the final version of the manuscript.

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Correspondence to Jinfa Zhang or Jiwen Yu.

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Communicated by Bing Yang.

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Zhang, J., Abdelraheem, A., Ma, J. et al. Mapping of dynamic QTLs for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in a backcross inbred line population of Upland cotton. Mol Genet Genomics 297, 319–332 (2022). https://doi.org/10.1007/s00438-021-01846-2

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