Literature DB >> 36069936

CarrotOmics: a genetics and comparative genomics database for carrot (Daucus carota).

William R Rolling1,2, Douglas Senalik1,2, Massimo Iorizzo3, Shelby Ellison2, Allen Van Deynze4, Philipp W Simon1,2.   

Abstract

CarrotOmics (https://carrotomics.org/) is a comprehensive database for carrot (Daucus carota L.) breeding and research. CarrotOmics was developed using resources available at the MainLab Bioinformatics core (https://www.bioinfo.wsu.edu/) and is implemented using Tripal with Drupal modules. The database delivers access to download or visualize the carrot reference genome with gene predictions, gene annotations and sequence assembly. Other genomic resources include information for 11 224 genetic markers from 73 linkage maps or genotyping-by-sequencing and descriptions of 371 mapped loci. There are records for 1601 Apiales species (or subspecies) and descriptions of 9408 accessions from 11 germplasm collections representing more than 600 of these species. Additionally, 204 Apiales species have phenotypic information, totaling 28 517 observations from 10 041 biological samples. Resources on CarrotOmics are freely available, search functions are provided to find data of interest and video tutorials are available to describe the search functions and genomic tools. CarrotOmics is a timely resource for the Apiaceae research community and for carrot geneticists developing improved cultivars with novel traits addressing challenges including an expanding acreage in tropical climates, an evolving consumer interested in sustainably grown vegetables and a dynamic environment due to climate change. Data from CarrotOmics can be applied in genomic-assisted selection and genetic research to improve basic research and carrot breeding efficiency. DATABASE URL: https://carrotomics.org/. Published by Oxford University Press 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.

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Year:  2022        PMID: 36069936      PMCID: PMC9450951          DOI: 10.1093/database/baac079

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   4.462


  37 in total

1.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

2.  Tripal MapViewer: A tool for interactive visualization and comparison of genetic maps.

Authors:  Katheryn Buble; Sook Jung; Jodi L Humann; Jing Yu; Chun-Huai Cheng; Taein Lee; Stephen P Ficklin; Heidi Hough; Bradford Condon; Margaret E Staton; Jill L Wegrzyn; Dorrie Main
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

3.  MTGD: The Medicago truncatula genome database.

Authors:  Vivek Krishnakumar; Maria Kim; Benjamin D Rosen; Svetlana Karamycheva; Shelby L Bidwell; Haibao Tang; Christopher D Town
Journal:  Plant Cell Physiol       Date:  2014-11-28       Impact factor: 4.927

4.  De novo assembly and characterization of the carrot transcriptome reveals novel genes, new markers, and genetic diversity.

Authors:  Massimo Iorizzo; Douglas A Senalik; Dariusz Grzebelus; Megan Bowman; Pablo F Cavagnaro; Marta Matvienko; Hamid Ashrafi; Allen Van Deynze; Philipp W Simon
Journal:  BMC Genomics       Date:  2011-08-02       Impact factor: 3.969

5.  CarrotDB: a genomic and transcriptomic database for carrot.

Authors:  Zhi-Sheng Xu; Hua-Wei Tan; Feng Wang; Xi-Lin Hou; Ai-Sheng Xiong
Journal:  Database (Oxford)       Date:  2014-09-29       Impact factor: 3.451

6.  Genetic diversity structure of western-type carrots.

Authors:  Katarzyna Stelmach; Alicja Macko-Podgórni; Charlotte Allender; Dariusz Grzebelus
Journal:  BMC Plant Biol       Date:  2021-04-26       Impact factor: 4.215

7.  CottonGen: The Community Database for Cotton Genomics, Genetics, and Breeding Research.

Authors:  Jing Yu; Sook Jung; Chun-Huai Cheng; Taein Lee; Ping Zheng; Katheryn Buble; James Crabb; Jodi Humann; Heidi Hough; Don Jones; J Todd Campbell; Josh Udall; Dorrie Main
Journal:  Plants (Basel)       Date:  2021-12-18

8.  PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes.

Authors:  Cristina M Osuna-Cruz; Andreu Paytuvi-Gallart; Antimo Di Donato; Vicky Sundesha; Giuseppe Andolfo; Riccardo Aiese Cigliano; Walter Sanseverino; Maria R Ercolano
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

9.  Genome-wide association study reveals the genetic basis of fiber quality traits in upland cotton (Gossypium hirsutum L.).

Authors:  Wei Liu; Chengxiang Song; Zhongying Ren; Zhiqiang Zhang; Xiaoyu Pei; Yangai Liu; Kunlun He; Fei Zhang; Junjie Zhao; Jie Zhang; Xingxing Wang; Daigang Yang; Wei Li
Journal:  BMC Plant Biol       Date:  2020-08-27       Impact factor: 4.215

10.  High-throughput sequencing data and the impact of plant gene annotation quality.

Authors:  Aleksia Vaattovaara; Johanna Leppälä; Jarkko Salojärvi; Michael Wrzaczek
Journal:  J Exp Bot       Date:  2019-02-20       Impact factor: 6.992

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