A QTL on the short arm of wheat (Triticum aestivum L.) chromosome 3B affects the stability of grain weight in plants exposed to a brief heat shock early in grain filling

Shirdelmoghanloo, Hamid; Taylor, Julian; Lohraseb, Iman; Rabie, Huwaida; Brien, Chris; Timmins, Andy; Martin, Peter; Mather, D. E.; Emebiri, Livinus; Collins, Nicholas C.

doi:10.1186/s12870-016-0784-6

Cited by 65 publications

(56 citation statements)

References 54 publications

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“…A parallel quantitative trait locus mapping study in wheat (Shirdelmoghanloo et al 2016) confirmed that this association can derive from control of these two processes by the same locus. This raises the possibility of using nondestructive measurement of chlorophyll fluorescence or content changes in field plots over the duration of a brief heat wave (e.g.…”

Section: Resultsmentioning

confidence: 75%

“…2), which seemed to be achieved more by having a long GFD in Drysdale, and a high grain filling rate in Frame, Lyallpur-73 and Reeves. However, we have identified quantitative trait loci in wheat that control the SGW response to heat without affecting grain weight under control conditions (Shirdelmoghanloo et al 2016), indicating that a connection between grain weight potential and the heat stability of grain size is not a necessary feature of (all) heat tolerance loci. This is an important point, as the usefulness of a heat tolerance gene in breeding would be seriously limited if it limited yield in the absence of heat stress.…”

Section: Grain Growth and Developmentmentioning

confidence: 91%

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Truncation of grain filling in wheat (Triticum aestivum) triggered by brief heat stress during early grain filling: association with senescence responses and reductions in stem reserves

Shirdelmoghanloo

Cozzolino

Lohraseb

et al. 2016

Functional Plant Biol.

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Abstract. Short heat waves during grain filling can reduce grain size and consequently yield in wheat (Triticum aestivum L.). Grain weight responses to heat represent the net outcome of reduced photosynthesis, increased mobilisation of stem reserves (water-soluble carbohydrates, WSC) and accelerated senescence in the grain. To compare their relative roles in grain weight responses under heat, these characteristics were monitored in nine wheat genotypes subjected to a brief heat stress at early grain filling (37 C maximum for 3 days at 10 days after anthesis). Compared with the five tolerant varieties, the four susceptible varieties showed greater heat-triggered reductions in final grain weight, grain filling duration, flag leaf chla and chlb content, stem WSC and PSII functionality (F v /F m ). Despite the potential for reductions in sugar supply to the developing grains, there was little effect of heat on grain filling rate, suggesting that grain size effects of heat may have instead been driven by premature senescence in the grain. Extreme senescence responses potentially masked stem WSC contributions to grain weight stability. Based on these findings, limiting heat-triggered senescence in the grain may provide an appropriate focus for improving heat tolerance in wheat.

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Section: Resultsmentioning

confidence: 75%

Section: Grain Growth and Developmentmentioning

confidence: 91%

Truncation of grain filling in wheat (Triticum aestivum) triggered by brief heat stress during early grain filling: association with senescence responses and reductions in stem reserves

Shirdelmoghanloo

Cozzolino

Lohraseb

et al. 2016

Functional Plant Biol.

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“…The mapping population was composed of 142 DH lines derived from the F 1 of a cross between the Australian wheat cultivars, Drysdale and Waagan. Both parents were bred for drought tolerance, but Waagan is relatively more heat tolerant than Drysdale (Shirdelmoghanloo et al, 2016). Drysdale has the pedigree Hartog*3/Quarrion and was released in 2002.…”

Section: Methodsmentioning

confidence: 99%

“…Details of the Drysdale ´ Waagan DH population development and genotyping with the 9K SNP array (Cavanagh et al, 2013) have been reported previously by (Shirdelmoghanloo et al, 2016). The total marker set consisted of 2711 single nucleotide polymorphism (SNP) markers, and from these, a subset of 916 markers (33.8%) was selected for QTL analysis.…”

Section: Genetic Linkage Map and Qtl Analysismentioning

confidence: 99%

“…The first was on chromosome 3B and involved a suggestive QTL for epidermal flavonoids (IWA288) and a significant locus for stripe rust (IWA7918), with Waagan as the high-value parent for both traits (Tables 2 and 3). The chromosomal region also harbors significant QTL for heat tolerance in wheat, with both markers (IWA288 and IWA7918) identified by Shirdelmoghanloo et al (2016) for stability of chlorophyll (stay-green) and shoot weight. The other colocation was on chromosome 2B, where a suggestive QTL for epidermal flavonoids (IWA8599) was also associated with stripe rust response, with both parents contributing the beneficial alleles.…”

Section: Qtl Colocationsmentioning

confidence: 99%

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QTL Mapping of Wheat Stripe Rust Resistance in Relation to Epidermal Flavonoids Measured Using a Leaf‐Clip, Optical Sensor

2019

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Epidermal flavonoids have long been suggested as targets for selection in stress‐adaptive crop breeding, but routine selection is neither practicable nor cost effective because of the time‐consuming process involved in phenotyping. In this research, we found that the content of epidermal flavonoids, measured using the chlorophyll fluorescence excitation ratio method, was inversely related to stripe rust (Puccinia striiformis f. sp. tritici [Pst]) response in wheat (Triticum aestivum L.). We investigated the genetic basis by conducting quantitative trait locus (QTL) mapping with a 9K single nucleotide polymorphism (SNP) array in a cross of ‘Drysdale’ × ‘Waagan’ segregating for adult‐plant stripe rust resistance. Data from 3 yr of field experimental trials were analyzed, and heritability estimates for epidermal flavonoids varied from 0.16 to 0.47 across the experiment‐years. In contrast, heritability for stripe rust response varied from 0.79 to 0.84. Eleven QTL were identified for epidermal flavonoids, with a major locus on chromosome 4D, explaining between 19.5 and 47.3% of the phenotypic variation across years. Thirteen QTL were identified for stripe rust response, with the major locus explaining 68% of the phenotypic variation. Quantitative trait loci associated with epidermal flavonoids and stripe rust response were colocated on chromosomes 2B and 3B, but other genetic loci detected for the respective traits were independent. The study has established a genetic basis for epidermal flavonoids measured using the nondestructive, leaf‐clip sensor in wheat, which will encourage further research on the possible exploitation of the compound by breeding and selection.

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Differential QTL underlie wheat grain physical quality when measured using image‐based versus traditional laboratory methods

Emebiri,

Hildebrand

2024

JSFA Reports

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BACKGROUNDThe marketing value of wheat (Triticum aestivum L.) is determined, in parts, by the grain's physical characteristics as they directly or indirectly influence milling performance and baking quality. These characteristics have been measured manually in the past, but now, digital image analysis (DIA) is increasingly being used to replace the slow phenotyping system. Here, we asked whether this could lead to the identification of the same or different genes, when compared to the traditional phenotyping methods.RESULTSWe measured grain physical quality on 142 wheat doubled haploids grown in the field over two years and using quantitative trait locus (QTL) mapping approach we found that (1) for wheat grain weight, the use of DIA provided genetic information that mostly conformed to those obtained using the traditional phenotyping methods, with heritability estimates that were identical across both methods. Majority of the QTL detected were consistent between the traditional versus digital phenotyping methods; (2) a more complex architecture, however, arose from QTL analyses of hectolitre weight (HLW) and percentage of shrivelled grains (SCR). The estimates for heritability varied by as much as 0.24 across methods and more significantly, many of the detected QTL for both traits were method‐specific; (3) though method‐specific, identified QTL mapped to genomic regions known to harbour genes for grain physical traits.CONCLUSIONSTGW is robust to phenotyping method, but a different genetic system underlie HLW and SCR, when these were measured using traditional versus digital image analysis. For these traits, heritability estimates were larger when phenotyped using traditional methods relative to digital image analysis, suggesting that further refinements are required to better correlate digital image analysis with the traditional phenotyping methods.This article is protected by copyright. All rights reserved.

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A QTL on the short arm of wheat (Triticum aestivum L.) chromosome 3B affects the stability of grain weight in plants exposed to a brief heat shock early in grain filling

Cited by 65 publications

References 54 publications

Truncation of grain filling in wheat (Triticum aestivum) triggered by brief heat stress during early grain filling: association with senescence responses and reductions in stem reserves

Truncation of grain filling in wheat (Triticum aestivum) triggered by brief heat stress during early grain filling: association with senescence responses and reductions in stem reserves

QTL Mapping of Wheat Stripe Rust Resistance in Relation to Epidermal Flavonoids Measured Using a Leaf‐Clip, Optical Sensor

Differential QTL underlie wheat grain physical quality when measured using image‐based versus traditional laboratory methods

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