A reference-grade wild soybean genome DOI Creative Commons
Min Xie, Claire Chung, Man‐Wah Li

et al.

Nature Communications, Journal Year: 2019, Volume and Issue: 10(1)

Published: March 14, 2019

Abstract Efficient crop improvement depends on the application of accurate genetic information contained in diverse germplasm resources. Here we report a reference-grade genome wild soybean accession W05, with final assembled size 1013.2 Mb and contig N50 3.3 Mb. The analytical power W05 is demonstrated by several examples. First, identify an inversion at locus determining seed coat color during domestication. Second, translocation event between chromosomes 11 13 some genotypes shown to interfere assignment QTLs. Third, find region containing copy number variations Kunitz trypsin inhibitor ( KTI ) genes. Such findings illustrate this assembly analysis large structural collections. has wide applications comparative genomic evolutionary studies, as well breeding programs.

Language: Английский

Integrating omic approaches for abiotic stress tolerance in soybean DOI Creative Commons
Rupesh Deshmukh, Humira Sonah, Gunvant Patil

et al.

Frontiers in Plant Science, Journal Year: 2014, Volume and Issue: 5

Published: June 3, 2014

Soybean production is greatly influenced by abiotic stresses imposed environmental factors such as drought, water submergence, salt, and heavy metals. A thorough understanding of plant response to stress at the molecular level a prerequisite for its effective management. The mechanism tolerance complex requires information omic understand it effectively. In this regard, enormous progress has been made in omics field areas genomics, transcriptomics, proteomics. emerging ionomics also being employed investigating soybean. Omic approaches generate huge amount data, adequate advancements computational tools have achieved analysis. However, integration omic-scale address genetics physiological questions still challenge. review, we described advances view conventional modern used dissect Emphasis was given quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), genomic selection (GS). Comparative genomics candidate gene are discussed considering identification potential loci, genes, biochemical pathways involved This review provides comprehensive catalog available online resources soybean utilization. We addressed significance phenomics integrated recognized high-throughput multi-dimensional phenotyping major limiting factor improvement

Language: Английский

Citations

269

A High-Density SNP Genotyping Array for Rice Biology and Molecular Breeding DOI Creative Commons
Haodong Chen, Weibo Xie, Hang He

et al.

Molecular Plant, Journal Year: 2013, Volume and Issue: 7(3), P. 541 - 553

Published: Oct. 12, 2013

A high-density single nucleotide polymorphism (SNP) array is critically important for geneticists and molecular breeders. With the accumulation of huge amounts genomic re-sequencing data available technologies accurate SNP detection, it possible to design high-quality rice arrays. Here we report development a its utility. probes were designed by screening more than 10 000 loci extracted from 801 varieties an named RiceSNP50 was produced on Illumina Infinium platform. The contained 51 478 evenly distributed markers, 68% which within genic regions. Several hundred plants with parent/F1 relationships used generate cluster file calling. Application tests showed that this had high genotyping accuracy, could be different objectives. For example, core collection elite clustered fine resolution. Genome-wide association studies (GWAS) analysis correctly identified characterized QTL. Further, successfully variety verification trait introgression. As high-throughput tool, will play role in both functional genomics breeding.

Language: Английский

Citations

258

Evolutionary genomics of grape ( Vitis vinifera ssp. vinifera ) domestication DOI Creative Commons
Yongfeng Zhou, Mélanie Massonnet, Jaleal Sanjak

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2017, Volume and Issue: 114(44), P. 11715 - 11720

Published: Oct. 17, 2017

We gathered genomic data from grapes (

Language: Английский

Citations

258

Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant DOI Creative Commons
Enhua Xia, Fangdong Li, Wei Tong

et al.

Plant Biotechnology Journal, Journal Year: 2019, Volume and Issue: 17(10), P. 1938 - 1953

Published: March 26, 2019

Summary Tea is the world's widely consumed nonalcohol beverage with essential economic and health benefits. Confronted increasing large‐scale omics‐data set particularly genome sequence released in tea plant, construction of a comprehensive knowledgebase urgently needed to facilitate utilization these data sets towards molecular breeding. We hereby present first integrative specially designed web‐accessible database, Plant Information Archive (TPIA; http://tpia.teaplant.org ). The current release TPIA employs comprehensively annotated plant as framework incorporates abundant well‐organized transcriptomes, gene expressions (across species, tissues stresses), orthologs characteristic metabolites determining quality. It also hosts massive transcription factors, polymorphic simple repeats, single nucleotide polymorphisms, correlations, manually curated functional genes globally collected germplasm information. A variety versatile analytic tools (e.g. JBrowse, blast, enrichment analysis, etc.) are established helping users perform further comparative, evolutionary analysis. show case application that provides novel interesting insights into phytochemical content variation section Thea genus Camellia under well‐resolved phylogenetic framework. constructed will serve central gateway for global community better understand biology largely benefits whole industry.

Language: Английский

Citations

243

A reference-grade wild soybean genome DOI Creative Commons
Min Xie, Claire Chung, Man‐Wah Li

et al.

Nature Communications, Journal Year: 2019, Volume and Issue: 10(1)

Published: March 14, 2019

Abstract Efficient crop improvement depends on the application of accurate genetic information contained in diverse germplasm resources. Here we report a reference-grade genome wild soybean accession W05, with final assembled size 1013.2 Mb and contig N50 3.3 Mb. The analytical power W05 is demonstrated by several examples. First, identify an inversion at locus determining seed coat color during domestication. Second, translocation event between chromosomes 11 13 some genotypes shown to interfere assignment QTLs. Third, find region containing copy number variations Kunitz trypsin inhibitor ( KTI ) genes. Such findings illustrate this assembly analysis large structural collections. has wide applications comparative genomic evolutionary studies, as well breeding programs.

Language: Английский

Citations

227