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

Yu, Xingwang; Brown, Jonathan R.; Graham, Sydney E.; Carbajal, Esdras M.; Zuleta, M. Carolina; Milla‐Lewis, Susana R.

doi:10.1371/journal.pone.0224620

Cited by 12 publications

(31 citation statements)

References 27 publications

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“… Morphological traits include leaf width (LW), leaf length (LL), canopy density (CD) and shoot growth orientation (SGO), while drought traits include percent green cover (GC) and normalized difference vegetation index (NDVI) reported in Yu et al (2019) [ 10 ]. Blue color indicates positive correlation, while red color indicates negative correlation, with more intense colors for more extreme correlations.…”

Section: Resultsmentioning

confidence: 99%

“…We further estimated the correlation between morphological traits and the drought related traits previously reported in Yu et al (2019) [ 10 ], which included green cover precent (GC) in greenhouse experiments and normalized difference vegetative index (NDVI) in field trials. In general, LW and LL showed negative correlations with drought related traits, while CD and SGO showed positive correlations ( Fig 2 ).…”

Section: Resultsmentioning

confidence: 99%

“…Yu et al (2018) developed high-density linkage maps containing 2871 single nucleotide polymorphism (SNP) markers from a ‘Raleigh x Seville’ F 1 population in St. Augustinegrass [ 9 ]. This population later proved to be segregating for drought tolerance in both greenhouses and field trials, and QTL controlling several drought-related physiological traits were identified [ 10 ]. Considering the turfgrass water use also could be affected by plant growth and canopy characteristics, we intend to further characterize the morphological traits of ‘Raleigh x Seville’ population, and mapping QTL related to the interest traits, which will shed light on the genetic control of water usage and its potential application in marker-assisted selection in St. Augustinegrass.…”

Section: Introductionmentioning

confidence: 99%

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QTL mapping of morphological characteristics that correlated to drought tolerance in St. Augustinegrass

Lara

Carbajal

et al. 2022

PLoS ONE

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St. Augustinegrass is a warm-season grass species widely utilized as turf in the southeastern U.S. It shows significant variation in plant growth and morphological characteristics, some of which are potentially associated with drought tolerance. However, the genetic basis of these variations is not well understood. Detecting quantitative trait loci (QTL) associated with morphological traits will provide a foundation for the application of genetic and molecular breeding in St. Augustinegrass. In this study, we report QTL associated with morphological traits, including leaf blade width (LW), leaf blade length (LL), canopy density (CD), and shoot growth orientation (SGO) in a St. Augustinegrass ‘Raleigh’ x ‘Seville’ mapping population containing 115 F1 hybrids. Phenotypic data were collected from one greenhouse and two field trials. Single and joint trial analyses were performed, finding significant phenotypic variance among the hybrids for all traits. Interval mapping (IM) and multiple QTL method (MQM) analysis detected seven QTL for CD, four for LL, five for LW, and two for SGO, which were distributed on linkage groups RLG1, RLG9, SLG3, SLG7, SLG8 and SLG9. In addition, three genomic regions where QTL colocalized were identified on Raleigh LG1 and Seville LG3. One genomic region on Seville LG3 overlapped with two previously reported drought-related QTL for leaf relative water content (RWC) and percent green cover (GC). Several candidate genes related to plant development and drought stress response were identified within QTL intervals. The QTL identified in this study represent a first step in identifying genes controlling morphological traits that might accelerate progress in selection of St. Augustinegrass lines with lower water usage.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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QTL mapping of morphological characteristics that correlated to drought tolerance in St. Augustinegrass

Lara

Carbajal

et al. 2022

PLoS ONE

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“…In addition, the genetic correlation of the same trait under different environments (Type B) is useful to quantify the genotype × environment (GE) interaction, and its magnitude ranges from 0 to 1, indicating high and low GE interaction, respectively (Yamada, 1962). The warm‐season turfgrass breeding programs listed above have focused on improvement of several traits such as turfgrass quality (TQ; Schwartz, Kenworthy, Engelke, Genovesi, & Quesenberry, 2009), salt and drought tolerance (Fuentealba et al., 2016; Meeks & Chandra, 2020; Schwartz et al., 2009; Schwartz et al., 2018; Xiang et al., 2017; Zhang et al., 2017), tolerance to extreme temperature (Dunne et al., 2019; Fontanier et al., 2020; Kimball, Isleib, Reynolds, Zuleta, & Milla‐Lewis, 2016; Yu et al., 2019), shade tolerance (Chhetri, Fontanier, Koh, Wu, & Moss, 2019), and biotic stress resistance (Milla‐Lewis et al., 2011; Milla‐Lewis, Youngs, Arrellano, & Cardoza, 2017). The goal of all programs is to develop regionally adapted cultivars; however, most programs are limited to more localized evaluations within their specific agroecosystems.…”

Section: Introductionmentioning

confidence: 99%

Multispecies genotype × environment interaction for turfgrass quality in five turfgrass breeding programs in the southeastern United States

et al. 2021

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In breeding programs, superior parental genotypes are used in crosses to generate novel genetic variability for new selection cycles. Genotypes are usually more adapted to environments where the breeding program is located, since selections are performed under specific agroecosystems. Thus, the objective of this study was to evaluate the performance of bermudagrass (Cynodon Rich. species), St. Augustinegrass [Stenotaphrum secundatum (Walter) Kuntze], seashore paspalum (Paspalum vaginatum Sw.), and zoysiagrass (Zoysia Willd. species) breeding lines from five different breeding programs (North Carolina State University, Oklahoma State University, Texas A&M University System, University of Florida, and University of Georgia) across the southeastern United States. Three breeding nurseries for each species were evaluated for 2 yr at eight locations: Citra and Hague, FL; College Station and Dallas, TX; Griffin and Tifton, GA; Stillwater, OK; and Jackson Springs, NC. Turfgrass quality (TQ) was evaluated (rated on a 1–9 scale) across repeated measurements over time. Data were analyzed using mixed models, and principal component analyses were performed using predicted genotypic values. The narrowest range in variation for TQ performance was observed in seashore paspalum breeding lines, whereas greater variation was observed for St. Augustinegrass and zoysiagrasses. St. Augustinegrass presented the lowest genotype × environment interaction in all nurseries. Specific adaptability was not observed for the lines developed by different breeding programs, with the exception of the bermudagrass lines from Oklahoma State University in Nursery 3.

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“…Genovesi et al [ 9 ] used EST-derived microsatellites (EST-SSRs) to identify heterozygosity and evaluate genetic variation in 25 S. secundatum lines obtained from ploidy crosses. Yu et al [ 10 ] used 2871 SNPs and 81 SSRs to develop a high-density genetic map of S. secundatum and identified putative quantitative trait loci (QTL) related to turf quality.…”

Section: Introductionmentioning

confidence: 99%

Phenotypic and molecular marker analysis uncovers the genetic diversity of the grass Stenotaphrum secundatum

Luo

Zhang

et al. 2020

BMC Genet

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Background Stenotaphrum secundatum is an important grass with a rich variety of accessions and great potential for development as an economically valuable crop. However, little is known about the genetic diversity of S. secundatum , limiting its application and development as a crop. Here, to provide a theoretical basis for further conservation, utilization, and classification of S. secundatum germplasm resources, we used phenotypic and molecular markers (single-nucleotide polymorphisms, SNPs; sequence-related amplified polymorphism, SRAP; inter-simple sequence repeat, ISSR) to analyze the genetic diversity of 49 S. secundatum accessions. Results Based on seven types of phenotypic data, the 49 S. secundatum accessions could be divided into three classes with great variation. We identified 1,280,873 SNPs in the 49 accessions, among which 66.22% were transition SNPs and 33.78% were transversion SNPs. Among these, C/T was the most common (19.12%) and G/C the least common (3.68%). Using 28 SRAP primers, 267 polymorphic bands were detected from the 273 bands amplified. In addition, 27 ISSR markers generated 527 amplification bands, all of which were polymorphic. Both marker types revealed a high level of genetic diversity, with ISSR markers showing a higher percentage of polymorphic loci (100%) than SRAP markers (97.8%). The genetic diversity of the accessions based on SRAP markers ( h = 0.47, I = 0.66) and ISSR markers ( h = 0.45, I = 0.64) supports the notion that the S. secundatum accessions are highly diverse. S. secundatum could be divided into three classes based on the evaluated molecular markers. Conclusions Phenotypic and molecular marker analysis using SNP, SRAP, and ISSR markers revealed great genetic variation among S. secundatum accessions, which were consistently divided into three classes. Our findings provide a theoretical basis for the genetic diversity and classification of S. secundatum . Our results indicate that SNP, SRAP and ISSR markers are reliable and effective for analyzing genetic diversity in S. secundatum . The SNPs identified in this study could be used to distinguish S. secundatum accessions.

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

Cited by 12 publications

References 27 publications

QTL mapping of morphological characteristics that correlated to drought tolerance in St. Augustinegrass

QTL mapping of morphological characteristics that correlated to drought tolerance in St. Augustinegrass

Multispecies genotype × environment interaction for turfgrass quality in five turfgrass breeding programs in the southeastern United States

Phenotypic and molecular marker analysis uncovers the genetic diversity of the grass Stenotaphrum secundatum

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