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

Zhang, Jinfa; Abdelraheem, Abdelraheem; Ma, Jianjiang; Dever, Jane K.; Wheeler, Terry A.; Hake, Kater; Wedegaertner, Tom; Yu, Jie-Ae

doi:10.1007/s00438-021-01846-2

Cited by 20 publications

(10 citation statements)

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“…However, these resistant cultivars are not homozygous in resistance as reflected by their various levels of MR. Many QTLs for resistance to FOV4 in Upland cotton have been recently reported (Zhang et al, 2015 , 2022 ; Wang et al, 2018 ; Abdelraheem et al, 2020 ). Our studies show that the disease progression model is plant genotype dependent.…”

Section: Discussionmentioning

confidence: 99%

Studies of Evaluation Methods for Resistance to Fusarium Wilt Race 4 (Fusarium oxysporum f. sp. vasinfectum) in Cotton: Effects of Cultivar, Planting Date, and Inoculum Density on Disease Progression

et al. 2022

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Fusarium wilt caused by Fusarium oxysporum f. sp. vasinfectum race 4 (FOV4) is an early season disease causing root rot, seedling wilt, and death. To develop an appropriate field evaluation method for resistance to FOV4 in cotton breeding, the objectives of this study were to investigate the effects of cultivar, planting date, and inoculum density on disease progression in 2020–2021. Results showed that the usual local mid-April planting had the lowest disease severity (DSR) or mortality rate (MR) in 2020 and 2021. DSR or MR increased at the late April and early May plantings in both years and reached the highest at the early May planting in 2020, while MR in 2021 was followed by a decrease in the late May planting and reached the highest in the mid-June planting. Local daily low temperatures between mid-April and mid-June were favorable for FOV4 infections, whereas daily high temperatures at 35°C or higher suppressed wilt severity. When seedlings at the 2-true leaf stage were inoculated with 104, 105, 106, and 107 conidia ml−1 per plant in 2020, DSR was low but a linear relationship between inoculum density and DSR was observed. When a FOV4-infested soil supplemented with artificial inoculation was used, disease progression in three moderately susceptible or moderately resistant cultivars followed a linear model, while it followed a quadratic model in the highly susceptible Pima S-7 cultivar only. Among the other three cultivars, FM 2334GLT had the lowest DSR or MR except for one planting date in both years, followed by PHY 725 RF and Pima PHY 881 RF in ascending order, which were consistent with the difference in regression coefficients of the linear models. This study demonstrates that disease progression curves due to FOV4 can be used to compare responses to FOV4 infections among cotton genotypes in cotton breeding and genetic studies, regardless of planting date and inoculation method.

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Section: Discussionmentioning

confidence: 99%

Studies of Evaluation Methods for Resistance to Fusarium Wilt Race 4 (Fusarium oxysporum f. sp. vasinfectum) in Cotton: Effects of Cultivar, Planting Date, and Inoculum Density on Disease Progression

et al. 2022

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“…Studies include FOV4 identification and molecular characterization (Bell et al., 2019; Diaz et al., 2021; Liu & Wagner, 2022; Zhu et al., 2019; Zhu, Abdelraheem, Wheeler et al., 2021), genome sequencing of FOV4 (Seo et al., 2020; Srivastava et al., 2021), resistance evaluation methods (Parris et al., 2021; Zhang, Abdelraheem, Zhu, Wheeler, Dever, Nichols, & Wedegaertner, 2021), large scale germplasm screening for FOV4 resistance in the greenhouse (Zhang, Abdelraheem, Zhu, Wheeler, Dever, Frelichowski et al., 2020; Zhang, Abdelraheem, Zhu, Wheeler, Dever, Elkins‐Arce et al., 2020) and field (Zhang, Abdelraheem, Zhu, Wheeler, Dever, Elkins‐Arce et al., 2020), defense differences (Puckhaber et al., 2018), quantitative trait locus (QTL) mapping for FOV4 resistance (Abdelraheem, Elassbli et al., 2020; Zhu et al., unpublished data, 2022), and selection of cotton for FOV4 resistance in breeding programs (Ulloa et al., 2021; Zhang, Abdelraheem, Zhu, Wheeler, Dever, Elkins‐Arce et al., 2020). In collective efforts between New Mexico and Texas public researchers, we have screened numerous cotton germplasm lines for FOV4 resistance (Abdelraheem et al., 2021b; Zhang, Abdelraheem, Zhu, Wheeler, Dever, Frelichowski et al., 2020; Zhang, Abdelraheem, Zhu, Wheeler, Dever, Yu et al., 2021), studied the quantitative genetic basis of FOV4 resistance in a set of Pima cotton genotypes (Abdelraheem et al., 2021a), mapped QTL for FOV4 resistance (Abdelraheem, Wedegaertner et al., 2020; Zhang, Abdelraheem, Ma et al., 2022; Zhu et al., unpublished data, 2022), compared infection processes in the cotton root between susceptible and resistant Pima lines (Zhu et al., 2022), estimated experimental errors in the field (Zhang, Zhu, Abdelraheem et al., 2021), and investigated the effects of cotton cultivar and growth stage, root wounding, planting date, inoculum density, and temperature on the FOV4‐associated disease development (Zhang, Abdelraheem, Zhu, Wheeler, Dever, Nichols, & Wedegaertner, 2021; Zhang, Abdelraheem, Zhu et al., 2022; Zhu, Abdelraheem, Wheeler et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Studies of evaluation parameters for resistance to Fusarium wilt in cotton caused by Fusarium wilt race 4 (Fusarium oxysporumf. sp.vasinfectum)

Zhang

Elkins‐Arce²,

Wheeler³

et al. 2022

Crop Science

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Fusarium wilt, caused by Fusarium oxysporum f. sp. vasinfectum race 4 (FOV4), is an early season vascular disease with symptoms including seedling wilt and mortality. The objectives of this study were to investigate the relationship between mortality rate (MR) and disease severity rating (DSR) based on root vascular staining (RVS)-DSR and stem vascular discoloration (SVD)-DSR in the field and the relationship of MR in controlled conditions with MR and DSR in the field. Results from two field tests and two greenhouse tests each with a Latin square design for eight cultivars of cotton (Gossypium spp.) and two field progeny-row tests were analyzed. In the field, MR at the square stage was significantly correlated with both DSR (RVS) and DSR (SVD) at crop maturity, and they were also significantly correlated with DSR based on both MR and RVS-DSR (MR+RVS) and both MR and SVD-DSR (MR+SVD). The results show that DSR (MR+RVS) was the most accurate in assessing FOV4 resistance, and DSR (SVD) and DSR (MR+SVD) can be used in combination with DSR (RVS) and DSR (MR+RVS), or as the substitutes for RVS. Mortality rate in the greenhouse was significantly correlated with MR and DSR (MR+RVS) and DSR (MR+SVD) in the field, indicating consistency between evaluations under both conditions. Furthermore, foliar symptoms-based MR and DSR under controlledconditions were significantly correlated, with coefficients of variation at 20 to 30% in other related studies. The results confirm the validity of using the two parameters in greenhouse evaluations for FOV4 resistance in cotton.

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“…In the US, numerous Upland cotton accessions and germplasm lines have been evaluated for FOV4 resistance under the field and/or greenhouse conditions (Ulloa et al 2006, 2020; Hutmacher et al 2013; Abdelraheem et al 2020; Zhang et al 2020a, 2022d). Breeding lines and cultivars with improved FOV4 resistance have been developed and released through germplasm registrations in the public sector (Ulloa et al 2009, 2016, 2022, 2023; Zhang et al 2016, 2020a).…”

Section: Introductionmentioning

confidence: 99%

Targeted development of diagnostic SNP markers for resistance to Fusarium wilt race 4 in Upland cotton (Gossypium hirsutum)

Zhang

Wheeler²,

Dever³

et al. 2023

Preprint

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Fusarium wilt caused by the soil-borne fungus Fusarium oxysporum f. sp. vasinfectum (FOV) race 4 (FOV4) has become one of the most important emerging diseases in US cotton production. Numerous QTLs have been reported for resistance to FOV; however, no major FOV4-resistance QTL or gene has been identified and used in breeding Upland cotton (Gossypium hirsutum) for FOV4 resistance. In this study, a panel of 223 Chinese Upland cotton accessions was evaluated for FOV4 resistance based on seedling mortality rate (MR) and stem and root vascular discoloration (SVD and RVD). SNP markers were developed based on targeted genome sequencing using AgriPlex Genomics. The chromosome region at 2.130-2.292 Mb on D03 was significantly correlated with both SVD and RVD but not with MR. Based on the two most significant SNP markers, accessions homozygous for AA or TT SNP genotype averaged significantly lower SVD (0.88 vs. 2.54) and RVD (1.46 vs. 3.02) than those homozygous for CC or GG SNP genotype. The results suggested that a gene or genes within the region conferred resistance to vascular discoloration caused by FOV4. The Chinese Upland accessions had 37.22% homozygous AA or TT SNP genotype and 11.66% heterozygous AC or TG SNP genotype, while 32 US elite public breeding lines all had the CC or GG SNP genotype. Among 463 obsolete US Upland accessions, only 0.86% possessed the AA or TT SNP genotype. This study, for the first time, has developed diagnostic SNPs for marker-assisted selection and identified FOV4-resistant Upland germplasms with the SNPs.

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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

Cited by 20 publications

References 52 publications

Studies of Evaluation Methods for Resistance to Fusarium Wilt Race 4 (Fusarium oxysporum f. sp. vasinfectum) in Cotton: Effects of Cultivar, Planting Date, and Inoculum Density on Disease Progression

Studies of Evaluation Methods for Resistance to Fusarium Wilt Race 4 (Fusarium oxysporum f. sp. vasinfectum) in Cotton: Effects of Cultivar, Planting Date, and Inoculum Density on Disease Progression

Studies of evaluation parameters for resistance to Fusarium wilt in cotton caused by Fusarium wilt race 4 (Fusarium oxysporumf. sp.vasinfectum)

Targeted development of diagnostic SNP markers for resistance to Fusarium wilt race 4 in Upland cotton (Gossypium hirsutum)

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