Cloning of TaTPP-6AL1 associated with grain weight in bread wheat and development of functional marker

Zhang, Pengfei; He, Zhonghu; Tian, Xiaohong; Gao, Fengjie; Xu, Dengan; Liu, Jindong; Wen, Weie; Fu, Luping; Li, Genying; Sui, Xinxia; Xia, Xianchun; Wang, Chunping; Cao, Shuanghe

doi:10.1007/s11032-017-0676-y

Cited by 57 publications

(33 citation statements)

References 30 publications

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“…Additionally, a TPS1 gene known to regulate flowering time in Arabidopsis (Wahl et al, 2013) explained around 2% of the heritability in our panel (Figure 6c). In a recent study, a TPP gene on chromosome 6A was revealed to be associated with thousand grain weight in bread wheat and successfully cloned (Zhang et al, 2017). Similarly, we observed about 3% of heritability fraction in the same TPP gene being associated with this particular trait.…”

Section: Trehalose Pathway Genes Revealed Substantial Contributions Tsupporting

confidence: 69%

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Gene-based mapping of trehalose biosynthetic pathway genes reveals association with source- and sink-related yield traits in a spring wheat panel

Lyra

Griffiths

Watson

et al. 2020

Preprint

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SummaryTrehalose 6-phosphate (T6P) signalling regulates carbon use and allocation and is a target to improve crop yields. However, the specific contributions of trehalose phosphate synthase (TPS) and trehalose phosphate phosphatase (TPP) genes to source- and sink-related traits remain largely unknown. We used exome-capture sequencing on TPS and TPP genes to estimate and partition the genetic variation of yield-related traits in a spring wheat (Triticum aestivum) breeding panel with diverse genetic heritage. Twelve phenotypes were directly correlated to TPS and TPP genes including final biomass (source) and spikes and grain numbers and grain filling traits (sink) showing indications of both positive and negative gene selection. Additionally, individual genes explained a substantial proportion of heritability (e.g. 3, 12, and 18% of the variance in gene homeologues most closely related to Arabidopsis TPS1 for final biomass), indicating a considerable contribution of this regulatory pathway to the phenotypic variation. Most importantly, two significant missense point mutations in the exon 6 of the TPS1 gene on chromosome 1D substantially increased plant height and peduncle length which was inversely related to grains per m2. Gene-based prediction resulted in significant gains of predictive ability (6% improvement) for grain weight when gene effects were combined with the whole genome markers, potentially helping breeding programs in designing strategic crosses. Three TPS1 homeologues were particularly significant in trait variation. Our study has generated a wealth of information on the role of natural variation of TPS and TPP genes related to yield potential.

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Section: Trehalose Pathway Genes Revealed Substantial Contributions Tsupporting

confidence: 69%

“…Kretzschmar et al (2015) showed that a TPP gene, OsTPP7, as the genetic determinant in qAG-9-2, a major quantitative trait locus (QTL) for anaerobic germination tolerance. In bread wheat, a TPP gene was associated with grain weight (Zhang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Gene-based mapping of trehalose biosynthetic pathway genes reveals association with source- and sink-related yield traits in a spring wheat panel

Lyra

Griffiths

Watson

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Moreover, few of these studies were conducted for fiber quality genetic dissection, which was far removed from map-based cloning, elaborating the molecular mechanism of fiber development and further application of MAS in breeding programs. Therefore, it is urgent to identify more novel and stable QTL and develop functional markers using high-throughput genotyping as reported in rice and wheat (Wang et al, 2011 ; Zhang P. et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton

et al. 2018

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Cotton fiber quality traits are controlled by multiple quantitative trait loci (QTL), and the improvement of these traits requires extensive germplasm. Herein, an Upland cotton cultivar from America, Acala Maxxa, was crossed with a local high fiber quality cultivar, Yumian 1, and 180 recombinant inbred lines (RILs) were obtained. In order to dissect the genetic basis of fiber quality differences between these parents, a genetic map containing 12116 SNP markers was constructed using the CottonSNP80K assay, which covered 3741.81 cM with an average distance of 0.31 cM between markers. Based on the genetic map and growouts in three environments, we detected a total of 104 QTL controlling fiber quality traits. Among these QTL, 25 were detected in all three environments and 35 in two environments. Meanwhile, 19 QTL clusters were also identified, and nine contained at least one stable QTL (detected in three environments for a given trait). These stable QTL or QTL clusters are priorities for fine mapping, identifying candidate genes, elaborating molecular mechanisms of fiber development, and application in cotton breeding programs by marker-assisted selection (MAS).

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“…Abiotic stress that coincides with the meiotic process can greatly reduce grain number. However, most yield-trait related analyses have focused more on the identification, validation and/or cloning of genes associated with grain weight while few studies have focused on the identification of gene(s) or QTL influencing grain number in wheat, specifically under water stress treatment during meiosis [ 32 – 36 ]. Identification of these chromosome regions/gene(s) associated with grain number would enhance the efficiency of selection and breeding of new wheat varieties with improved water stress resistance.…”

Section: Introductionmentioning

confidence: 99%

Identification and validation of a major chromosome region for high grain number per spike under meiotic stage water stress in wheat (Triticum aestivum L.)

et al. 2018

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Grain number is a major trait for wheat yield under dryland farming. An International Triticeae Mapping Initiative (ITMI) mapping population comprising 105 recombinant inbred lines (RIL) developed from a cross between a Synthetic hexaploid wheat (Triticum aestivum) ‘W7984’ and a spring wheat variety ‘Opata M85’ was used to identify quantitative trait loci (QTL) associated with grain number per spike under two treatment conditions, normal watering and water stress during meiosis. Two major QTL for grain number per spike on the main stem Q.Gnu.uwa-5A-1 and Q.Gnu.uwa-5A-2 with phenotypic variations of 25.71% and 24.93%, respectively, were detected on the long arm of chromosome 5A when plants were exposed to water stress during meiosis. One QTL (Q.Gnu.uwa-2A) with a LOD score of 2.8 was detected on the long arm of chromosome 2A under normal watering condition. The alleles associated with higher grain number per spike under different treatment conditions came from the Synthetic W7984 parent. Two populations developed from crosses Synthetic W7984 × Lang and Synthetic W7984 × Westonia were used to validate the identified QTL under water stress during meiosis. SSR markers Xbarc230 and Xbarc319 linked with the identified QTL on chromosome 5AL were validated in the two F2:4 segregating populations. These closely linked SSR markers could potentially be utilized in marker-assisted selection to reduce yield loss in regions where water stress during meiosis occurs frequently. The identified QTL can be incorporated into elite lines / cultivars to improve wheat grain yield.

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Cloning of TaTPP-6AL1 associated with grain weight in bread wheat and development of functional marker

Cited by 57 publications

References 30 publications

Gene-based mapping of trehalose biosynthetic pathway genes reveals association with source- and sink-related yield traits in a spring wheat panel

Gene-based mapping of trehalose biosynthetic pathway genes reveals association with source- and sink-related yield traits in a spring wheat panel

Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton

Identification and validation of a major chromosome region for high grain number per spike under meiotic stage water stress in wheat (Triticum aestivum L.)

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