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Lin YC, Mansfeld BN, Tang X, Colle M, Chen F, Weng Y, Fei Z, Grumet R. Identification of QTL associated with resistance to Phytophthora fruit rot in cucumber ( Cucumis sativus L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1281755. [PMID: 38046614 PMCID: PMC10693349 DOI: 10.3389/fpls.2023.1281755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/30/2023] [Indexed: 12/05/2023]
Abstract
Phytophthora fruit rot (PFR) caused by the soilborne oomycete pathogen, Phytophthora capsici, can cause severe yield loss in cucumber. With no resistant variety available, genetic resources are needed to develop resistant varieties. The goal of this work was to identify quantitative trait loci (QTL) associated with resistance to PFR using multiple genomic approaches and populations. Two types of resistances have been identified: age-related resistance (ARR) and young fruit resistance. ARR occurs at 12-16 days post pollination (dpp), coinciding with the end of exponential fruit growth. A major QTL for ARR was discovered on chromosome 3 and a candidate gene identified based on comparative transcriptomic analysis. Young fruit resistance, which is observed during the state of rapid fruit growth prior to commercial harvest, is a quantitative trait for which multiple QTL were identified. The largest effect QTL, qPFR5.1, located on chromosome 5 was fine mapped to a 1-Mb region. Genome-wide association studies (GWAS) and extreme-phenotype genome-wide association study (XP-GWAS) for young fruit resistance were also performed on a cucumber core collection representing > 96% of the genetic diversity of the USDA cucumber germplasm. Several SNPs overlapped with the QTL identified from QTL-seq analysis on biparental populations. In addition, novel SNPs associated with the resistance were identified from the germplasm. The resistant alleles were found mostly in accessions from India and South Asia, the center of diversity for cucumber. The results from this work can be applied to future disease resistance studies and marker-assisted selection in breeding programs.
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Affiliation(s)
- Ying-Chen Lin
- Department of Horticulture, Graduate Program in Plant Breeding, Genetics and Biotechnology, Michigan State University, East Lansing, MI, United States
| | - Ben N. Mansfeld
- Department of Horticulture, Graduate Program in Plant Breeding, Genetics and Biotechnology, Michigan State University, East Lansing, MI, United States
| | - Xuemei Tang
- Boyce Thompson Institute, Cornell University, Ithaca, NY, United States
| | - Marivi Colle
- Department of Horticulture, Graduate Program in Plant Breeding, Genetics and Biotechnology, Michigan State University, East Lansing, MI, United States
| | - Feifan Chen
- Department of Plant and Agroecosystem Sciences, University of Wisconsin, Madison, WI, United States
| | - Yiqun Weng
- Department of Plant and Agroecosystem Sciences, University of Wisconsin, Madison, WI, United States
- Vegetable Crops Research Unit, United States Department of Agriculture-Agriculture Research Service (USDA-ARS), Madison, WI, United States
| | - Zhangjun Fei
- Boyce Thompson Institute, Cornell University, Ithaca, NY, United States
- Robert W. Holley Center for Agriculture and Health, United States Department of Agriculture-Agriculture Research Service (USDA-ARS), Ithaca, NY, United States
| | - Rebecca Grumet
- Department of Horticulture, Graduate Program in Plant Breeding, Genetics and Biotechnology, Michigan State University, East Lansing, MI, United States
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Palmer NA, Sarath G, Bowman MJ, Saathoff AJ, Edmé SJ, Mitchell RB, Tobias CM, Madhavan S, Scully ED, Sattler SE. Divergent Metabolic Changes in Rhizomes of Lowland and Upland Switchgrass ( Panicum virgatum) from Early Season through Dormancy Onset. PLANTS (BASEL, SWITZERLAND) 2023; 12:1732. [PMID: 37111955 PMCID: PMC10143016 DOI: 10.3390/plants12081732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 06/19/2023]
Abstract
High-biomass-yielding southerly adapted switchgrasses (Panicum virgatum L.) frequently suffer from unpredictable winter hardiness at more northerly sites arising from damage to rhizomes that prevent effective spring regrowth. Previously, changes occurring over the growing season in rhizomes sampled from a cold-adapted tetraploid upland cultivar, Summer, demonstrated a role for abscisic acid (ABA), starch accumulation, and transcriptional reprogramming as drivers of dormancy onset and potential keys to rhizome health during winter dormancy. Here, rhizome metabolism of a high-yielding southerly adapted tetraploid switchgrass cultivar, Kanlow-which is a significant source of genetics for yield improvement-was studied over a growing season at a northern site. Metabolite levels and transcript abundances were combined to develop physiological profiles accompanying greening through the onset of dormancy in Kanlow rhizomes. Next, comparisons of the data to rhizome metabolism occurring in the adapted upland cultivar Summer were performed. These data revealed both similarities as well as numerous differences in rhizome metabolism that were indicative of physiological adaptations unique to each cultivar. Similarities included elevated ABA levels and accumulation of starch in rhizomes during dormancy onset. Notable differences were observed in the accumulation of specific metabolites, the expression of genes encoding transcription factors, and several enzymes linked to primary metabolism.
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Affiliation(s)
- Nathan A. Palmer
- Wheat, Sorghum, and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (N.A.P.); (A.J.S.); (S.J.E.); (R.B.M.); (S.E.S.)
| | - Gautam Sarath
- Wheat, Sorghum, and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (N.A.P.); (A.J.S.); (S.J.E.); (R.B.M.); (S.E.S.)
| | - Michael J. Bowman
- Bioenergy Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, United States Department of Agriculture, 1815 North University St., Peoria, IL 61604, USA;
| | - Aaron J. Saathoff
- Wheat, Sorghum, and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (N.A.P.); (A.J.S.); (S.J.E.); (R.B.M.); (S.E.S.)
| | - Serge J. Edmé
- Wheat, Sorghum, and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (N.A.P.); (A.J.S.); (S.J.E.); (R.B.M.); (S.E.S.)
| | - Robert B. Mitchell
- Wheat, Sorghum, and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (N.A.P.); (A.J.S.); (S.J.E.); (R.B.M.); (S.E.S.)
| | - Christian M. Tobias
- Division of Plant Systems-Production, National Institute of Food and Agriculture, United States Department of Agriculture, Beacon Complex, Kansas City, MO 64133, USA;
| | | | - Erin D. Scully
- Stored Products Insect and Engineering Research Unit, Agricultural Research Service, United States Department of Agriculture, Manhattan, KS 66502, USA;
| | - Scott E. Sattler
- Wheat, Sorghum, and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (N.A.P.); (A.J.S.); (S.J.E.); (R.B.M.); (S.E.S.)
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Tilhou NW, Poudel HP, Lovell J, Mamidi S, Schmutz J, Daum C, Zane M, Yoshinaga Y, Lipzen A, Casler MD. Genomic prediction of switchgrass winter survivorship across diverse lowland populations. G3 (BETHESDA, MD.) 2023; 13:jkad014. [PMID: 36648238 PMCID: PMC9997553 DOI: 10.1093/g3journal/jkad014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/15/2022] [Accepted: 12/16/2022] [Indexed: 01/18/2023]
Abstract
In the North-Central United States, lowland ecotype switchgrass can increase yield by up to 50% compared with locally adapted but early flowering cultivars. However, lowland ecotypes are not winter tolerant. The mechanism for winter damage is unknown but previously has been associated with late flowering time. This study investigated heading date (measured for two years) and winter survivorship (measured for three years) in a multi-generation population generated from two winter-hardy lowland individuals and diverse southern lowland populations. Sequencing data (311,776 markers) from 1,306 individuals were used to evaluate genome-wide trait prediction through cross-validation and progeny prediction (n = 52). Genetic variance for heading date and winter survivorship was additive with high narrow-sense heritability (0.64 and 0.71, respectively) and reliability (0.68 and 0.76, respectively). The initial negative correlation between winter survivorship and heading date degraded across generations (F1r = -0.43, pseudo-F2r = -0.28, pseudo-F2 progeny r = -0.15). Within-family predictive ability was moderately high for heading date and winter survivorship (0.53 and 0.52, respectively). A multi-trait model did not improve predictive ability for either trait. Progeny predictive ability was 0.71 for winter survivorship and 0.53 for heading date. These results suggest that lowland ecotype populations can obtain sufficient survival rates in the northern United States with two or three cycles of effective selection. Despite accurate genomic prediction, naturally occurring winter mortality successfully isolated winter tolerant genotypes and appears to be an efficient method to develop high-yielding, cold-tolerant switchgrass cultivars.
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Affiliation(s)
- Neal W Tilhou
- Department of Agronomy, University of Wisconsin, 1575 Linden Dr, Madison, WI 53706, USA
| | - Hari P Poudel
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, T1J 4B1 Canada
| | - John Lovell
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Sujan Mamidi
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Christopher Daum
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Lawrence, CA 94704, USA
| | - Matthew Zane
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Lawrence, CA 94704, USA
| | - Yuko Yoshinaga
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Lawrence, CA 94704, USA
| | - Anna Lipzen
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Lawrence, CA 94704, USA
| | - Michael D Casler
- Department of Agronomy, University of Wisconsin, 1575 Linden Dr, Madison, WI 53706, USA
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