Detection of quantitative trait loci associated with drought tolerance in St. Augustinegrass

Autor: Jessica M. Brown, Xingwang Yu, Esdras M. Carbajal, Sydney E. Graham, Maria C. Zuleta, Susana R. Milla-Lewis
Rok vydání: 2019
Předmět:
Chlorophyll
Pigments
0106 biological sciences
0301 basic medicine
Germplasm
Leaves
Chloroplasts
Genetic Linkage
Stenotaphrum
Plant Science
01 natural sciences
Plant Resistance to Abiotic Stress
Natural Resources
Materials
education.field_of_study
Multidisciplinary
Ecology
biology
Plant Anatomy
Chromosome Mapping
food and beverages
Droughts
Phenotype
Plant Physiology
Physical Sciences
Water Resources
Trait
Medicine
Cellular Structures and Organelles
Cellular Types
Research Article
Genotype
Drought Adaptation
Plant Cell Biology
Science
Quantitative Trait Loci
Materials Science
Drought tolerance
Population
Quantitative trait locus
Poaceae
Research and Analysis Methods
Molecular Genetics
03 medical and health sciences
Plant-Environment Interactions
Plant Cells
Genetics
Plant Defenses
Molecular Biology Techniques
Linkage Mapping
education
Molecular Biology
Organic Pigments
Plant Ecology
Ecology and Environmental Sciences
Gene Mapping
fungi
Biology and Life Sciences
Wilting
Cell Biology
Phenotypic trait
Plant Pathology
biology.organism_classification
Plant Leaves
030104 developmental biology
Agronomy
Genetic Loci
010606 plant biology & botany
Zdroj: PLoS ONE, Vol 14, Iss 10, p e0224620 (2019)
PLoS ONE
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0224620
Popis: St. Augustinegrass (Stenotaphrum secundatum) is a warm-season grass species commonly utilized as turf in the southeastern US. Improvement in the drought tolerance of St. Augustinegrass has significant value within the turfgrass industry. Detecting quantitative trait loci (QTL) associated with drought tolerance will allow for advanced breeding strategies to identify St. Augustinegrass germplasm with improved performance for this trait. A multi-year and multi-environment study was performed to identify QTL in a ‘Raleigh’ x ‘Seville’ mapping population segregating for phenotypic traits associated with drought tolerance. Phenotypic data was collected from a field trial and a two-year greenhouse study, which included relative water content (RWC), chlorophyll content (CHC), leaf firing (LF), leaf wilting (LW), green cover (GC) and normalized difference vegetative index (NDVI). Significant phenotypic variance was observed and a total of 70 QTL were detected for all traits. A genomic region on linkage group R6 simultaneously harbored QTL for RWC, LF and LW in different experiments. In addition, overlapping QTL for GC, LF, LW and NDVI were found on linkage groups R1, R5, R7 and S2. Sequence alignment analysis revealed several drought response genes within these regions. The QTL identified in this study have potential to be used in the future to identify genes associated with drought tolerance and for use in marker-assisted breeding.
Databáze: OpenAIRE
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