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      QTL and Candidate Gene Identification for Silique Length Based on High-Dense Genetic Map in Brassica napus L.

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          Abstract

          Silique length (SL) is an important yield trait and positively correlates with seeds per silique and seed weight. In the present study, two double haploid (DH) populations, established from crosses Zhongshuang11 × R11 (ZR) and R1 × R2 (RR), containing 280 and 95 DH lines, respectively, were used to map quantitative trait loci (QTL) for SL. A high-dense genetic map from ZR population was constructed comprising 14,658 bins on 19 linkage groups, with map length of 2,198.85 cM and an average marker distance of 0.15 cM. Genetic linkage map from RR population was constructed by using 2,046 mapped markers anchored to 19 chromosomes with 2,217-cM map length and an average marker distance of 1.08 cM. Major QTL qSL_ZR_A09 and qSL_RR_A09b on A09 were identified from ZR and RR populations, respectively. Both QTL could be stably detected in four environments. QTL qSL_RR_A09b and qSL_ZR_A09 were located on 68.5–70.8 cM and 91.33–91.94 cM interval with R 2 values of 14.99–39.07% and 15.00–20.36% in RR and ZR populations, respectively. Based on the physical positions of single nucleotide polymorphism (SNP) markers flanking qSL_ZR_A09 and gene annotation in Arabidopsis, 26 genes were identified with SNP/Indel variation between parents and two genes ( BnaA09g41180D and BnaA09g41380D) were selected as the candidate genes. Expression analysis further revealed BnaA09g41180D, encoding homologs of Arabidopsis fasciclin-like arabinogalactan proteins (FLA3), as the most promising candidate gene for qSL_ZR_A09. The QTL identification and candidate gene analysis will provide new insight into the genomic regions controlling SL in Brassica napus as well as candidate genes underlying the QTL.

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          High-throughput genotyping by whole-genome resequencing.

          The next-generation sequencing technology coupled with the growing number of genome sequences opens the opportunity to redesign genotyping strategies for more effective genetic mapping and genome analysis. We have developed a high-throughput method for genotyping recombinant populations utilizing whole-genome resequencing data generated by the Illumina Genome Analyzer. A sliding window approach is designed to collectively examine genome-wide single nucleotide polymorphisms for genotype calling and recombination breakpoint determination. Using this method, we constructed a genetic map for 150 rice recombinant inbred lines with an expected genotype calling accuracy of 99.94% and a resolution of recombination breakpoints within an average of 40 kb. In comparison to the genetic map constructed with 287 PCR-based markers for the rice population, the sequencing-based method was approximately 20x faster in data collection and 35x more precise in recombination breakpoint determination. Using the sequencing-based genetic map, we located a quantitative trait locus of large effect on plant height in a 100-kb region containing the rice "green revolution" gene. Through computer simulation, we demonstrate that the method is robust for different types of mapping populations derived from organisms with variable quality of genome sequences and is feasible for organisms with large genome sizes and low polymorphisms. With continuous advances in sequencing technologies, this genome-based method may replace the conventional marker-based genotyping approach to provide a powerful tool for large-scale gene discovery and for addressing a wide range of biological questions.
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            Genome‐analysis in Brassica with special reference to the experimental fomartion of B. napus and peculiar mode of fertilisation

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              To clone or not to clone plant QTLs: present and future challenges.

              Recent technical advancements and refinement of analytical methods have enabled the loci (quantitative trait loci, QTLs) responsible for the genetic control of quantitative traits to be dissected molecularly. To date, most plant QTLs have been cloned using a positional cloning approach following identification in experimental crosses. In some cases, an association between sequence variation at a candidate gene and a phenotype has been established by analysing existing genetic accessions. These strategies can be refined using appropriate genetic materials and the latest developments in genomics platforms. We foresee that although QTL analysis and cloning addressing naturally occurring genetic variation should shed light on mechanisms of plant adaptation, a greater emphasis on approaches relying on mutagenesis and candidate gene validation is likely to accelerate the pace of discovering the genes underlying QTLs.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                29 November 2019
                2019
                : 10
                : 1579
                Affiliations
                [1] 1 Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory for Biological Sciences and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs , Wuhan, China
                [2] 2 Graduate School of the Chinese Academy of Agricultural Sciences , Beijing, China
                Author notes

                Edited by: Ryo Fujimoto, Kobe University, Japan

                Reviewed by: Shimna Sudheesh, Department of Economic Development Jobs Transport and Resources, Australia; Xiaodong Wang, Jiangsu Academy of Agricultural Sciences (JAAS), China

                *Correspondence: Hongtao Cheng chenghongtao@ 123456caas.cn ; Qiong Hu huqiong01@ 123456caas.cn

                This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science

                †These authors have contributed equally to this work

                Article
                10.3389/fpls.2019.01579
                6895753
                31850044
                3c46a67b-13f2-4331-9762-55c767b7f298
                Copyright © 2019 Wang, Zaman, Huang, Mei, Liu, Wang, Ding, Hao, Fu, Cheng and Hu

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 August 2019
                : 12 November 2019
                Page count
                Figures: 5, Tables: 5, Equations: 0, References: 61, Pages: 11, Words: 6173
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                oilseed rape,silique length,quantitative trait loci,high-dense genetic map,double haploid population,re-sequencing

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