Literature DB >> 35037201

Doing Genetic and Genomic Biology Using the Legume Information System and Associated Resources.

Sven Redsun1, Sam Hokin1, Connor T Cameron1, Alan M Cleary1, Joel Berendzen1, Sudhansu Dash1, Anne V Brown2, Andrew Wilkey3, Jacqueline D Campbell2,4, Wei Huang2, Scott R Kalberer2, Nathan T Weeks2, Steven B Cannon5, Andrew D Farmer1.   

Abstract

In this chapter, we introduce the main components of the Legume Information System ( https://legumeinfo.org ) and several associated resources. Additionally, we provide an example of their use by exploring a biological question: is there a common molecular basis, across legume species, that underlies the photoperiod-mediated transition from vegetative to reproductive development, that is, days to flowering? The Legume Information System (LIS) holds genetic and genomic data for a large number of crop and model legumes and provides a set of online bioinformatic tools designed to help biologists address questions and tasks related to legume biology. Such tasks include identifying the molecular basis of agronomic traits; identifying orthologs/syntelogs for known genes; determining gene expression patterns; accessing genomic datasets; identifying markers for breeding work; and identifying genetic similarities and differences among selected accessions. LIS integrates with other legume-focused informatics resources such as SoyBase ( https://soybase.org ), PeanutBase ( https://peanutbase.org ), and projects of the Legume Federation ( https://legumefederation.org ).
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  CoNekT; Comparative genomics; Days to flower; GWAS; Gene families; Genome context viewer; InterMine; Legume information system; Pan-genome; ZZBrowse

Mesh:

Year:  2022        PMID: 35037201     DOI: 10.1007/978-1-0716-2067-0_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  28 in total

1.  DAGchainer: a tool for mining segmental genome duplications and synteny.

Authors:  Brian J Haas; Arthur L Delcher; Jennifer R Wortman; Steven L Salzberg
Journal:  Bioinformatics       Date:  2004-07-09       Impact factor: 6.937

2.  Reconstruction of ancestral genome reveals chromosome evolution history for selected legume species.

Authors:  Longhui Ren; Wei Huang; Steven B Cannon
Journal:  New Phytol       Date:  2019-03-23       Impact factor: 10.151

3.  Serum growth hormone, LH and prolactin in the pregnant cow.

Authors:  W D Oxender; H D Hafs; L A Ederton
Journal:  J Anim Sci       Date:  1972-07       Impact factor: 3.159

4.  A Chado case study: an ontology-based modular schema for representing genome-associated biological information.

Authors:  Christopher J Mungall; David B Emmert
Journal:  Bioinformatics       Date:  2007-07-01       Impact factor: 6.937

5.  The Legume Information System (LIS): an integrated information resource for comparative legume biology.

Authors:  Michael D Gonzales; Eric Archuleta; Andrew Farmer; Kamal Gajendran; David Grant; Randy Shoemaker; William D Beavis; Mark E Waugh
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

6.  Genome Context Viewer: visual exploration of multiple annotated genomes using microsynteny.

Authors:  Alan Cleary; Andrew Farmer
Journal:  Bioinformatics       Date:  2018-05-01       Impact factor: 6.937

7.  Tripal v3: an ontology-based toolkit for construction of FAIR biological community databases.

Authors:  Shawna Spoor; Chun-Huai Cheng; Lacey-Anne Sanderson; Bradford Condon; Abdullah Almsaeed; Ming Chen; Anthony Bretaudeau; Helena Rasche; Sook Jung; Dorrie Main; Kirstin Bett; Margaret Staton; Jill L Wegrzyn; F Alex Feltus; Stephen P Ficklin
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

8.  The Origin of the Legumes is a Complex Paleopolyploid Phylogenomic Tangle Closely Associated with the Cretaceous-Paleogene (K-Pg) Mass Extinction Event.

Authors:  Erik J M Koenen; Dario I Ojeda; Freek T Bakker; Jan J Wieringa; Catherine Kidner; Olivier J Hardy; R Toby Pennington; Patrick S Herendeen; Anne Bruneau; Colin E Hughes
Journal:  Syst Biol       Date:  2021-04-15       Impact factor: 15.683

9.  Tripal v1.1: a standards-based toolkit for construction of online genetic and genomic databases.

Authors:  Lacey-Anne Sanderson; Stephen P Ficklin; Chun-Huai Cheng; Sook Jung; Frank A Feltus; Kirstin E Bett; Dorrie Main
Journal:  Database (Oxford)       Date:  2013-10-25       Impact factor: 3.451

10.  Legume information system (LegumeInfo.org): a key component of a set of federated data resources for the legume family.

Authors:  Sudhansu Dash; Jacqueline D Campbell; Ethalinda K S Cannon; Alan M Cleary; Wei Huang; Scott R Kalberer; Vijay Karingula; Alex G Rice; Jugpreet Singh; Pooja E Umale; Nathan T Weeks; Andrew P Wilkey; Andrew D Farmer; Steven B Cannon
Journal:  Nucleic Acids Res       Date:  2015-11-05       Impact factor: 16.971

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  3 in total

1.  HumanMine: advanced data searching, analysis and cross-species comparison.

Authors:  Rachel Lyne; Adrián Bazaga; Daniela Butano; Sergio Contrino; Joshua Heimbach; Fengyuan Hu; Alexis Kalderimis; Mike Lyne; Kevin Reierskog; Radek Stepan; Julie Sullivan; Archie Wise; Yo Yehudi; Gos Micklem
Journal:  Database (Oxford)       Date:  2022-07-12       Impact factor: 4.462

2.  Genome-wide approaches delineate the additive, epistatic, and pleiotropic nature of variants controlling fatty acid composition in peanut (Arachis hypogaea L.).

Authors:  Paul I Otyama; Kelly Chamberlin; Peggy Ozias-Akins; Michelle A Graham; Ethalinda K S Cannon; Steven B Cannon; Gregory E MacDonald; Noelle L Anglin
Journal:  G3 (Bethesda)       Date:  2022-01-04       Impact factor: 3.542

Review 3.  Progress of Genomics-Driven Approaches for Sustaining Underutilized Legume Crops in the Post-Genomic Era.

Authors:  Uday Chand Jha; Harsh Nayyar; Swarup K Parida; Melike Bakır; Eric J B von Wettberg; Kadambot H M Siddique
Journal:  Front Genet       Date:  2022-04-07       Impact factor: 4.772

  3 in total

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