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      QTL-seq identifies cooked grain elongation QTLs near soluble starch synthase and starch branching enzymes in rice ( Oryza sativa L.)

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          Abstract

          Grain quality is one of the main targets that rice breeders focus on to improve elite rice varieties. Several characteristics are considered when determine rice grain quality, such as aroma, amylose content (AC), gelatinization temperature (GT) and, especially, lengthwise grain elongation (GE). GE is a desirable feature in premium rice of high quality, such as India and Pakistan’ Basmati. Inheritance of GE in rice has not been clearly elucidated due to its complex and inconsistent pattern. In this study, we identified QTLs for GE in rice using bulk-segregant analysis (BSA) and whole-genome sequencing based on an F 2 population segregated for GE as well as AC and GT. We identified two QTLs on chromosome 6, qGE6.1 and qGE6.2, and another QTL on chromosome 4, qGE4.1. qGE6.1 and qGE6.2 were located near starch synthase IIa ( SSIIa) and starch branching enzyme III (SBEIII), respectively, and qGE4.1 was located near starch branching enzyme IIa ( SBEIIa). qGE6.1 was considered to be the major QTL for GE based on this population, and SSIIa was suggested to be the best candidate gene associated with the GE trait. The results of this study may be useful for breeding rice with increased grain elongation and different starch properties.

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          QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations.

          The majority of agronomically important crop traits are quantitative, meaning that they are controlled by multiple genes each with a small effect (quantitative trait loci, QTLs). Mapping and isolation of QTLs is important for efficient crop breeding by marker-assisted selection (MAS) and for a better understanding of the molecular mechanisms underlying the traits. However, since it requires the development and selection of DNA markers for linkage analysis, QTL analysis has been time-consuming and labor-intensive. Here we report the rapid identification of plant QTLs by whole-genome resequencing of DNAs from two populations each composed of 20-50 individuals showing extreme opposite trait values for a given phenotype in a segregating progeny. We propose to name this approach QTL-seq as applied to plant species. We applied QTL-seq to rice recombinant inbred lines and F2 populations and successfully identified QTLs for important agronomic traits, such as partial resistance to the fungal rice blast disease and seedling vigor. Simulation study showed that QTL-seq is able to detect QTLs over wide ranges of experimental variables, and the method can be generally applied in population genomics studies to rapidly identify genomic regions that underwent artificial or natural selective sweeps. © 2013 The Authors The Plant Journal © 2013 Blackwell Publishing Ltd.
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            QTL-seq identifies an early flowering QTL located near Flowering Locus T in cucumber.

            Next-generation sequencing enabled a fast discovery of a major QTL controlling early flowering in cucumber, corresponding to the FT gene conditioning flowering time in Arabidopsis. Next-generation sequencing technologies are making it faster and more efficient to establish the association of agronomic traits with molecular markers or candidate genes, which is the requirement for marker-assisted selection in molecular breeding. Early flowering is an important agronomic trait in cucumber (Cucumis sativus L.), but the underlying genetic mechanism is unknown. In this study, we identified a candidate gene for early flowering QTL, Ef1.1 through QTL-seq. Segregation analysis in F2 and BC1 populations derived from a cross between two inbred lines "Muromskij" (early flowering) and "9930" (late flowering) suggested quantitative nature of flowering time in cucumber. Genome-wide comparison of SNP profiles between the early and late-flowering bulks constructed from F2 plants identified a major QTL, designated Ef1.1 on cucumber chromosome 1 for early flowering in Muromskij, which was confirmed by microsatellite marker-based classical QTL mapping in the F2 population. Joint QTL-seq and traditional QTL analysis delimited Ef1.1 to an 890 kb genomic region. A cucumber gene, Csa1G651710, was identified in this region, which is a homolog of the FLOWERING LOCUS T (FT), the main flowering switch gene in Arabidopsis. Quantitative RT-PCR study of the expression level of Csa1G651710 revealed significantly higher expression in early flowering genotypes. Data presented here provide support for Csa1G651710 as a possible candidate gene for early flowering in the cucumber line Muromskij.
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              QTL‐seq for rapid identification of candidate genes for 100‐seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea

              Summary Terminal drought is a major constraint to chickpea productivity. Two component traits responsible for reduction in yield under drought stress include reduction in seeds size and root length/root density. QTL‐seq approach, therefore, was used to identify candidate genomic regions for 100‐seed weight (100SDW) and total dry root weight to total plant dry weight ratio (RTR) under rainfed conditions. Genomewide SNP profiling of extreme phenotypic bulks from the ICC 4958 × ICC 1882 population identified two significant genomic regions, one on CaLG01 (1.08 Mb) and another on CaLG04 (2.7 Mb) linkage groups for 100SDW. Similarly, one significant genomic region on CaLG04 (1.10 Mb) was identified for RTR. Comprehensive analysis revealed four and five putative candidate genes associated with 100SDW and RTR, respectively. Subsequently, two genes (Ca_04364 and Ca_04607) for 100SDW and one gene (Ca_04586) for RTR were validated using CAPS/dCAPS markers. Identified candidate genomic regions and genes may be useful for molecular breeding for chickpea improvement.
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                Author and article information

                Contributors
                theerayut@biotec.or.th
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                6 June 2019
                6 June 2019
                2019
                : 9
                : 8328
                Affiliations
                [1 ]ISNI 0000 0001 0944 049X, GRID grid.9723.f, Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, , Kasetsart University Kamphaeng Saen Campus, ; Nakhon Pathom, 73140 Thailand
                [2 ]ISNI 0000 0001 0944 049X, GRID grid.9723.f, Rice Science Center, , Kasetsart University Kamphaeng Saen Campus, ; Nakhon Pathom, 73140 Thailand
                [3 ]ISNI 0000 0001 2191 4408, GRID grid.425537.2, National Center for Genetic Engineering and Biotechnology (BIOTEC), , National Science and Technology Development Agency (NSTDA), Khlong Luang, ; Pathum Thani, 12120 Thailand
                [4 ]ISNI 0000 0001 0944 049X, GRID grid.9723.f, Faculty of Agriculture at Kamphaeng Saen, , Kasetsart University Kamphaeng Saen Campus, ; Nakhon Pathom, 73140 Thailand
                Article
                44856
                10.1038/s41598-019-44856-2
                6554297
                31171826
                1f0b2e42-346e-4013-bb05-82a2cc43120f
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 September 2018
                : 24 May 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004396, Thailand Research Fund (TRF);
                Award ID: MRG5980006
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                natural variation in plants,plant breeding
                Uncategorized
                natural variation in plants, plant breeding

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