Discovery of QTL for stay-green and heat-stress in barley (Hordeum vulgare) grown under simulated abiotic stress conditions

Gous, Peter W.; Hickey, Lee T.; Christopher, Jack; Franckowiak, J. D.; Fox, Glen

doi:10.1007/s10681-015-1542-9

Cited by 41 publications

(34 citation statements)

References 46 publications

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“…To date, numerous studies have identified QTLs associated with general agronomic traits (e.g., yield and plant height) although little work has been done on traits specifically associated with heat stress. Gous et al (2016) mapped a doubled-haploid population derived from a cross between ND24260 (stay-green genotype) and Flagship (high-quality malting genotype) to identify QTLs associated with the stay-green trait under abiotic stress conditions. Ten QTLs were identified, six of which were associated with heat stress and four with drought (Gous et al 2016).…”

Section: High-temperature Stressmentioning

confidence: 99%

“…Gous et al (2016) mapped a doubled-haploid population derived from a cross between ND24260 (stay-green genotype) and Flagship (high-quality malting genotype) to identify QTLs associated with the stay-green trait under abiotic stress conditions. Ten QTLs were identified, six of which were associated with heat stress and four with drought (Gous et al 2016). In addition, Ingvordsen et al (2015a) performed a genome-wide association study on spring barley genotypes under heat stress and elevated CO2 and identified a QTL associated with grain yield under heat stress on chromosome 2H.…”

Section: High-temperature Stressmentioning

confidence: 99%

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Genomic and Genetic Studies of Abiotic Stress Tolerance in Barley

Saadé

Negrão

Plett

et al. 2018

Compendium of Plant Genomes

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Barley is a resilient crop plant with higher tolerance than other cereal plants for several types of abiotic stress. In this chapter, we describe the genetic components underlying barley's response to abiotic stresses, including soil acidity, boron toxicity, soil salinity, drought, temperature, and nutrient deficiency. We describe typical symptoms observed in barley in response to these stresses. We enumerate the major qualitative trait loci (QTLs) identified so far, such as FR-H1 and FR-H2 for low-temperature tolerance. We also discuss candidate genes that are the basis for stress tolerance, such as HVP10, which underlies the HvNax3 locus for salinity tolerance. Although knowledge about barley's responses to abiotic stresses is far from complete, the genetic diversity in cultivated barley and its close wild relatives could be further exploited to improve stress tolerance. To this end, the release of the barley high-quality reference genome provides a powerful tool to facilitate identification of new genes underlying barley's relatively high tolerance to several abiotic stresses. Early research on the genetic control of Al tolerance in barley using the Dayton (Al-tolerant) and Smooth Awn 86 (Al-sensitive) genotypes detected a major locus, Alp, on the long arm of chromosome 4H (4HL) (Minella and Sorrells 1992; Reid 1971). Another early study found that a single gene, named Pht, on

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Section: High-temperature Stressmentioning

confidence: 99%

Section: High-temperature Stressmentioning

confidence: 99%

Genomic and Genetic Studies of Abiotic Stress Tolerance in Barley

Saadé

Negrão

Plett

et al. 2018

Compendium of Plant Genomes

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“…GWAS identified a total of 83 SNPs, distributed in 11 QTL intervals to be associated with the nodal root architectural and anatomical response to water‐deficit stress. Most of the identified SNPs exhibited pleiotropic effects on the root traits across seasons and are proximal to QTL reported for osmotic potential, root elongation, water‐soluble carbohydrate, accumulation of water‐soluble carbohydrate, stay green, heat stress, and drought responsive root/yield‐related traits (Diab et al, ; Raman et al, ; von Korff et al, ; Pasam et al, ; Arifuzzaman et al, ; Gous et al, ). The mechanisms and traits related to WUE, deeper root growth, photosynthesis, and mobilization of photosynthates to grain production are tightly linked to crop adaptive responses to drought stress (Zama‐Allah et al, ; Marajo et al, ; Polanyi Promo et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…The QTL‐5H_2 associated with tXVA and tAXVA was found in the vicinity of Q5HA reported for relative water content and osmotic adjustment (Teulat et al, ). In silico analysis of the QTL‐5H_3 showed that it cosegregates with a diagnostic DArT‐marker ( bPb‐5529 ) detected for heat stress, stay green (Gous et al, ), and root length/root–shoot ratio (Arifuzzaman et al, ) and proximal to QTL detected for water content, WUE, and net photosynthetic rate (Gudys et al, ; Wójcik‐Jagła et al, ; ). The coincidence of the significant QTLs detected in this study with those previously reported for drought stress adaptive response strongly suggest that they may be linked to genes involved water‐deficit response, thus can be exploited to unravel the genetic control and molecular players responsible for root variable responses to soil water depletion.…”

Section: Discussionmentioning

confidence: 99%

“…Analysis of SNP effect on QTL-5H_3 locus showed that genotypes carrying the "C" allele had higher root drought tolerance values than those with "T" alleles in 2013 and 2014 ( Figure 5). tXVA and mNXV Nodal root system size, plant height, harvest index and grain yield (Chloupek et al, 2006) QTL-3H_2 3H tRGA (in 2013, 2014, and 2015) and mAXVA Plant height and a semi-dwarf single recessive gene uzu gene (Chono et al, 2003;Pasam et al, 2012) QTL-3H_3 3H tXVA and mCRA Heading date that was found in the domain of circadian clock/photoperiod pathway homologous gene (Pasam et al, 2012) QTL-5H_2 5H tXVA and tAXVA Relative-water content and osmotic adjustment (Teulat et al, 2001) QTL-5H_3 5H tCRA and tRXSA Heat-stress, stay green (Gous et al, 2016), and root length/root-shoot ratio (Arifuzzaman et al, 2014), DTI for water content (Gudys et al, 2018); water use efficiency and net photosynthetic rate (Wójcik-Jagła et al 2013; QTL-7H 7H tNRpP Haevest index, day to heading yield., water absorption, and plant height (Pillen, Zacharias, & Leon, 2003) Abbreviations: mAXVA, average area of the main shoot nodal root xylem vessel (mm 2 ); mCRA, main shoot axis nodal root cortical area (mm 2 ); mNXV, number of main shoot nodal root xylem vessels; tAXVA, average tiller nodal root xylem vessel area (mm 2 ); tCRA, tiller nodal root cortical area (mm 2 ); tNRpP, number of nodal roots emerged at the tiller; tRGA, tiller nodal root growth angle; tRXSA, tiller nodal root cross sectional area (mm 2 ); tXVA, tiller nodal root xylem vessel area (mm 2 ). 25 epistatic interactions were identified (Table 5; Figure 6).…”

Section: Nodal Root Anatomical Traitsmentioning

confidence: 99%

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Genetic components of root architecture and anatomy adjustments to water‐deficit stress in spring barley

Oyiga

Palczak

Wojciechowski

et al. 2019

Plant Cell & Environment

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Roots perform vital roles for adaptation and productivity under water‐deficit stress, even though their specific functions are poorly understood. In this study, the genetic control of the nodal‐root architectural and anatomical response to water deficit were investigated among diverse spring barley accessions. Water deficit induced substantial variations in the nodal root traits. The cortical, stele, and total root cross‐sectional areas of the main‐shoot nodal roots decreased under water deficit, but increased in the tiller nodal roots. Root xylem density and arrested nodal roots increased under water deficit, with the formation of root suberization/lignification and large cortical aerenchyma. Genome‐wide association study implicated 11 QTL intervals in the architectural and anatomical nodal root response to water deficit. Among them, three and four QTL intervals had strong effects across seasons and on both root architectural and anatomical traits, respectively. Genome‐wide epistasis analysis revealed 44 epistatically interacting SNP loci. Further analyses showed that these QTL intervals contain important candidate genes, including ZIFL2, MATE, and PPIB, whose functions are shown to be related to the root adaptive response to water deprivation in plants. These results give novel insight into the genetic architectures of barley nodal root response to soil water deficit stress in the fields, and thus offer useful resources for root‐targeted marker‐assisted selection.

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QTL mapping reveals malt barley quality improvement in two dryland environments associated with extended grain fill and seminal root traits

Williams,

Lamb,

Lutgen

et al. 2024

Crop Science

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To achieve malt grade and receive full price, barley (Hordeum vulgare L.) crops must meet standards for certain quality traits including percent plump and protein. Terminal drought stress reduces quality and is projected to worsen in barley cultivation areas, underscoring the need for varieties that maintain good malt production with unreliable precipitation. The stay‐green trait extends the grain fill phase between heading and maturity and has been linked to stable quality under dry conditions. However, this relationship can be inconsistent and is not well understood. To effectively leverage a longer grain fill phenotype for drought adaptation, a better grasp of its genetics and environmental interaction is needed. Stay‐green root system differences have been observed and could be at play. We performed correlation and quantitative trait locus (QTL) analysis on grain fill duration, grain quality, and seminal root traits using a recombinant inbred line (RIL) population segregating for stay‐green. Agronomic data were collected in four field trials at two distinct semiarid locations, and roots were measured in a greenhouse assay. Earlier heading and later maturity led to improved quality in both locations and more consistent quality between locations. Earlier heading had a greater influence on quality in the drier environment, while later maturity was more impactful in the less dry environment. We observed co‐locations of seminal root trait QTLs with grain fill duration and grain quality. These QTLs lay the groundwork for further investigation into root phenotypes associated with stay‐green and the deployment of these traits in breeding for drought adaptation.

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Discovery of QTL for stay-green and heat-stress in barley (Hordeum vulgare) grown under simulated abiotic stress conditions

Cited by 41 publications

References 46 publications

Genomic and Genetic Studies of Abiotic Stress Tolerance in Barley

Genomic and Genetic Studies of Abiotic Stress Tolerance in Barley

Genetic components of root architecture and anatomy adjustments to water‐deficit stress in spring barley

QTL mapping reveals malt barley quality improvement in two dryland environments associated with extended grain fill and seminal root traits

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