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Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis
BACKGROUND: Genome-wide association studies (GWAS) aim to correlate phenotypic changes with genotypic variation. Upon transcription, single nucleotide variants (SNVs) may alter mRNA structure, with potential impacts on transcript stability, macromolecular interactions, and translation. However, plan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017077/ https://www.ncbi.nlm.nih.gov/pubmed/35440059 http://dx.doi.org/10.1186/s13059-022-02656-4 |
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author | Ferrero-Serrano, Ángel Sylvia, Megan M. Forstmeier, Peter C. Olson, Andrew J. Ware, Doreen Bevilacqua, Philip C. Assmann, Sarah M. |
author_facet | Ferrero-Serrano, Ángel Sylvia, Megan M. Forstmeier, Peter C. Olson, Andrew J. Ware, Doreen Bevilacqua, Philip C. Assmann, Sarah M. |
author_sort | Ferrero-Serrano, Ángel |
collection | PubMed |
description | BACKGROUND: Genome-wide association studies (GWAS) aim to correlate phenotypic changes with genotypic variation. Upon transcription, single nucleotide variants (SNVs) may alter mRNA structure, with potential impacts on transcript stability, macromolecular interactions, and translation. However, plant genomes have not been assessed for the presence of these structure-altering polymorphisms or “riboSNitches.” RESULTS: We experimentally demonstrate the presence of riboSNitches in transcripts of two Arabidopsis genes, ZINC RIBBON 3 (ZR3) and COTTON GOLGI-RELATED 3 (CGR3), which are associated with continentality and temperature variation in the natural environment. These riboSNitches are also associated with differences in the abundance of their respective transcripts, implying a role in regulating the gene's expression in adaptation to local climate conditions. We then computationally predict riboSNitches transcriptome-wide in mRNAs of 879 naturally inbred Arabidopsis accessions. We characterize correlations between SNPs/riboSNitches in these accessions and 434 climate descriptors of their local environments, suggesting a role of these variants in local adaptation. We integrate this information in CLIMtools V2.0 and provide a new web resource, T-CLIM, that reveals associations between transcript abundance variation and local environmental variation. CONCLUSION: We functionally validate two plant riboSNitches and, for the first time, demonstrate riboSNitch conditionality dependent on temperature, coining the term “conditional riboSNitch.” We provide the first pan-genome-wide prediction of riboSNitches in plants. We expand our previous CLIMtools web resource with riboSNitch information and with 1868 additional Arabidopsis genomes and 269 additional climate conditions, which will greatly facilitate in silico studies of natural genetic variation, its phenotypic consequences, and its role in local adaptation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02656-4. |
format | Online Article Text |
id | pubmed-9017077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90170772022-04-19 Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis Ferrero-Serrano, Ángel Sylvia, Megan M. Forstmeier, Peter C. Olson, Andrew J. Ware, Doreen Bevilacqua, Philip C. Assmann, Sarah M. Genome Biol Research BACKGROUND: Genome-wide association studies (GWAS) aim to correlate phenotypic changes with genotypic variation. Upon transcription, single nucleotide variants (SNVs) may alter mRNA structure, with potential impacts on transcript stability, macromolecular interactions, and translation. However, plant genomes have not been assessed for the presence of these structure-altering polymorphisms or “riboSNitches.” RESULTS: We experimentally demonstrate the presence of riboSNitches in transcripts of two Arabidopsis genes, ZINC RIBBON 3 (ZR3) and COTTON GOLGI-RELATED 3 (CGR3), which are associated with continentality and temperature variation in the natural environment. These riboSNitches are also associated with differences in the abundance of their respective transcripts, implying a role in regulating the gene's expression in adaptation to local climate conditions. We then computationally predict riboSNitches transcriptome-wide in mRNAs of 879 naturally inbred Arabidopsis accessions. We characterize correlations between SNPs/riboSNitches in these accessions and 434 climate descriptors of their local environments, suggesting a role of these variants in local adaptation. We integrate this information in CLIMtools V2.0 and provide a new web resource, T-CLIM, that reveals associations between transcript abundance variation and local environmental variation. CONCLUSION: We functionally validate two plant riboSNitches and, for the first time, demonstrate riboSNitch conditionality dependent on temperature, coining the term “conditional riboSNitch.” We provide the first pan-genome-wide prediction of riboSNitches in plants. We expand our previous CLIMtools web resource with riboSNitch information and with 1868 additional Arabidopsis genomes and 269 additional climate conditions, which will greatly facilitate in silico studies of natural genetic variation, its phenotypic consequences, and its role in local adaptation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02656-4. BioMed Central 2022-04-19 /pmc/articles/PMC9017077/ /pubmed/35440059 http://dx.doi.org/10.1186/s13059-022-02656-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ferrero-Serrano, Ángel Sylvia, Megan M. Forstmeier, Peter C. Olson, Andrew J. Ware, Doreen Bevilacqua, Philip C. Assmann, Sarah M. Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis |
title | Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis |
title_full | Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis |
title_fullStr | Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis |
title_full_unstemmed | Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis |
title_short | Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis |
title_sort | experimental demonstration and pan-structurome prediction of climate-associated ribosnitches in arabidopsis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017077/ https://www.ncbi.nlm.nih.gov/pubmed/35440059 http://dx.doi.org/10.1186/s13059-022-02656-4 |
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