Literature DB >> 30643246

Phenotypic and genome-wide association with the local environment of Arabidopsis.

Ángel Ferrero-Serrano1, Sarah M Assmann2.   

Abstract

The environment imposes critical selective forces on all living organisms, and the sessile nature of plants makes them particularly useful for investigating the relationship between genetic variation and environmental adaptation. In the model plant Arabidopsis thaliana, extensive information on phenotypic and genotypic variation is available, but comparable information on environmental variation within the native range of the species is lacking. Here, we compile 204 geoclimatic variables to describe the local environments of Arabidopsis accessions with known collection sites encompassing a wide geo-environmental range, and fully sequenced genomes from the 1001 Genomes Project. We identify candidate adaptive genetic variation associated with these environmental variables, and validate this approach through comparison with previous experimental studies, and by targeted confirmation of a role of the heterotrimeric G-protein γ subunit, AGG3, in cold tolerance, as newly predicted from our environmental genome wide association study (GWAS). To facilitate identification of adaptive variation, we created Arabidopsis CLIMtools : interactive web-based databases of the environment × genome associations and correlations between the local environments and 131 phenotypes compiled from previous experimental GWASs. Our study presents an extensive analysis of the local environments, landscape genomics and phenotypic variation of Arabidopsis, and illustrates how 'in silico GWAS' approaches can inform and complement experimental phenomics studies.

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Year:  2019        PMID: 30643246     DOI: 10.1038/s41559-018-0754-5

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  18 in total

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2.  Enviromics in breeding: applications and perspectives on envirotypic-assisted selection.

Authors:  Rafael T Resende; Hans-Peter Piepho; Guilherme J M Rosa; Orzenil B Silva-Junior; Fabyano F E Silva; Marcos Deon V de Resende; Dario Grattapaglia
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Review 3.  Polygenic adaptation: a unifying framework to understand positive selection.

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Journal:  Nat Rev Genet       Date:  2020-06-29       Impact factor: 53.242

Review 4.  Advancing crop genomics from lab to field.

Authors:  Michael D Purugganan; Scott A Jackson
Journal:  Nat Genet       Date:  2021-05-06       Impact factor: 38.330

5.  Genetic variation, environment and demography intersect to shape Arabidopsis defense metabolite variation across Europe.

Authors:  Ella Katz; Jia-Jie Li; Benjamin Jaegle; Haim Ashkenazy; Shawn R Abrahams; Clement Bagaza; Samuel Holden; Chris J Pires; Ruthie Angelovici; Daniel J Kliebenstein
Journal:  Elife       Date:  2021-05-05       Impact factor: 8.140

6.  Genetic architecture and adaptation of flowering time among environments.

Authors:  Wenjie Yan; Baosheng Wang; Emily Chan; Thomas Mitchell-Olds
Journal:  New Phytol       Date:  2021-02-25       Impact factor: 10.151

7.  Using precision phenotyping to inform de novo domestication.

Authors:  Alisdair R Fernie; Saleh Alseekh; Jie Liu; Jianbing Yan
Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

8.  AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana.

Authors:  Matteo Togninalli; Ümit Seren; Jan A Freudenthal; J Grey Monroe; Dazhe Meng; Magnus Nordborg; Detlef Weigel; Karsten Borgwardt; Arthur Korte; Dominik G Grimm
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

Review 9.  ABA Metabolism and Homeostasis in Seed Dormancy and Germination.

Authors:  Naoto Sano; Annie Marion-Poll
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

10.  Natural Root Cellular Variation in Responses to Osmotic Stress in Arabidopsis thaliana Accessions.

Authors:  Wendy Cajero-Sanchez; Pamela Aceves-Garcia; María Fernández-Marcos; Crisanto Gutiérrez; Ulises Rosas; Berenice García-Ponce; Elena R Álvarez-Buylla; Maria de la Paz Sánchez; Adriana Garay-Arroyo
Journal:  Genes (Basel)       Date:  2019-11-29       Impact factor: 4.096

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