Full TGIF Record # 333500
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Web URL(s):https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/150352
    Last checked: 12/06/2023
Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Yu, Xingwang; Rockstad, Greta; Gesteira, Gabriel de Siqueira; Gouveia, Beatriz T.; Milla-Lewis, Susana R.
Author Affiliation:Yu: Presenting Author and Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC; Rockstad and Milla-Lewis: Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC; Gesteria: Department of Horticultural Science, North Carolina State University, Raleigh, NC; Gouveia: Biology, North Carolina State University, Raleigh, NC
Title:Integrating QTL mapping and transcriptomics to reveal the genetic architecture of drought resistance in St. Augustinegrass
Section:Turfgrass breeding, genetic, molecular biology, microbiome oral II
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C05 turfgrass science
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Meeting Info.:St. Louis, Missouri: October 29-November 1, 2023
Source:ASA, CSSA, SSSA International Annual Meeting. 2023, p. 150352.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"Drought resistance is an increasingly important trait for many crops including turfgrasses as more municipalities impose restrictions on frequency and amount of irrigation. Breeding efforts have focused on breeding for drought resistance; however, few have focused on the molecular basis of this trait. QTL mapping provides a method to identify regions of the genome associated with a trait of interest. We previously identified multiple QTL controlling drought-related physiological and morphological traits in a 'Raleigh x Seville' St. Augustinegrass mapping population. With the goal of validating these QTL regions, a biparental population developed from two full sibling lines, XSA 10098 and XSA 10127, was evaluated in two greenhouse trials for drought stress traits including leaf wilting, percent green cover, relative water content, percent recovery, and the area under the leaf wilting-, percent green cover-, and percent recovery curves. Thirteen QTL were identified from a multiple QTL mapping approach, and regions of overlap from this study and previous studies were found on chromosomes 3, 4, 6, and 9. To further explore candidate genes in response to drought resistance, we performed a transcriptomic study between two St. Augustinegrass genotypes contrasting in their drought resistance. The study revealed 2670 differentially expressed genes (DEG) in response to drought stress. Integration between QTL mapping and transcriptomic analysis revealed 12 candidate genes with functions related to drought resistance. These co-localized regions and candidate genes represent target areas from which primers could be designed to implement marker-assisted selection for drought resistance in St. Augustinegrass."
Language:English
References:0
Note:"302-2"
This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Yu, X., G. Rockstad, G. de S. Gesteira, B. T. Gouveia, and S. R. Milla-Lewis. 2023. Integrating QTL mapping and transcriptomics to reveal the genetic architecture of drought resistance in St. Augustinegrass. Agron. Abr. p. 150352.
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https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/150352
    Last checked: 12/06/2023
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