Literature DB >> 30548723

CropSNPdb: a database of SNP array data for Brassica crops and hexaploid bread wheat.

Armin Scheben1, Brent Verpaalen1, Cynthia T Lawley2, Chon-Kit K Chan1,3, Philipp E Bayer1, Jacqueline Batley1, David Edwards1.   

Abstract

Advances in sequencing technology have led to a rapid rise in the genomic data available for plants, driving new insights into the evolution, domestication and improvement of crops. Single nucleotide polymorphisms (SNPs) are a major component of crop genomic diversity, and are invaluable as genetic markers in research and breeding programs. High-throughput SNP arrays, or 'SNP chips', can generate reproducible sets of informative SNP markers and have been broadly adopted. Although there are many public repositories for sequencing data, which are routinely uploaded, there are no formal repositories for crop SNP array data. To make SNP array data more easily accessible, we have developed CropSNPdb (http://snpdb.appliedbioinformatics.com.au), a database for SNP array data produced by the Illumina Infinium™ hexaploid bread wheat (Triticum aestivum) 90K and Brassica 60K arrays. We currently host SNPs from datasets covering 526 Brassica lines and 309 bread wheat lines, and provide search, download and upload utilities for users. CropSNPdb provides a useful repository for these data, which can be applied for a range of genomics and molecular crop-breeding activities.
© 2018 The Authors The Plant Journal © 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Triticum aestivumzzm321990; Brassica; database; single nucleotide polymorphism genotyping array

Mesh:

Substances:

Year:  2019        PMID: 30548723     DOI: 10.1111/tpj.14194

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  3 in total

1.  Candidate Rlm6 resistance genes against Leptosphaeria. maculans identified through a genome-wide association study in Brassica juncea (L.) Czern.

Authors:  Hua Yang; Nur Shuhadah Mohd Saad; Muhammad Ishaq Ibrahim; Philipp E Bayer; Ting Xiang Neik; Anita A Severn-Ellis; Aneeta Pradhan; Soodeh Tirnaz; David Edwards; Jacqueline Batley
Journal:  Theor Appl Genet       Date:  2021-03-25       Impact factor: 5.574

2.  PPVED: A machine learning tool for predicting the effect of single amino acid substitution on protein function in plants.

Authors:  Xiangjian Gou; Xuanjun Feng; Haoran Shi; Tingting Guo; Rongqian Xie; Yaxi Liu; Qi Wang; Hongxiang Li; Banglie Yang; Lixue Chen; Yanli Lu
Journal:  Plant Biotechnol J       Date:  2022-04-27       Impact factor: 13.263

3.  Overcoming polyploidy pitfalls: a user guide for effective SNP conversion into KASP markers in wheat.

Authors:  M Makhoul; C Rambla; K P Voss-Fels; L T Hickey; R J Snowdon; C Obermeier
Journal:  Theor Appl Genet       Date:  2020-06-04       Impact factor: 5.699

  3 in total

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