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Patterns of microsatellite distribution across eukaryotic genomes
BACKGROUND: Microsatellites, or Simple Sequence Repeats (SSRs), are short tandem repeats of 1–6 nt motifs present in all genomes. Emerging evidence points to their role in cellular processes and gene regulation. Despite the huge resource of genomic information currently available, SSRs have been stu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387519/ https://www.ncbi.nlm.nih.gov/pubmed/30795733 http://dx.doi.org/10.1186/s12864-019-5516-5 |
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author | Srivastava, Surabhi Avvaru, Akshay Kumar Sowpati, Divya Tej Mishra, Rakesh K. |
author_facet | Srivastava, Surabhi Avvaru, Akshay Kumar Sowpati, Divya Tej Mishra, Rakesh K. |
author_sort | Srivastava, Surabhi |
collection | PubMed |
description | BACKGROUND: Microsatellites, or Simple Sequence Repeats (SSRs), are short tandem repeats of 1–6 nt motifs present in all genomes. Emerging evidence points to their role in cellular processes and gene regulation. Despite the huge resource of genomic information currently available, SSRs have been studied in a limited context and compared across relatively few species. RESULTS: We have identified ~ 685 million eukaryotic microsatellites and analyzed their genomic trends across 15 taxonomic subgroups from protists to mammals. The distribution of SSRs reveals taxon-specific variations in their exonic, intronic and intergenic densities. Our analysis reveals the differences among non-related species and novel patterns uniquely demarcating closely related species. We document several repeats common across subgroups as well as rare SSRs that are excluded almost throughout evolution. We further identify species-specific signatures in pathogens like Leishmania as well as in cereal crops, Drosophila, birds and primates. We also find that distinct SSRs preferentially exist as long repeating units in different subgroups; most unicellular organisms show no length preference for any SSR class, while many SSR motifs accumulate as long repeats in complex organisms, especially in mammals. CONCLUSIONS: We present a comprehensive analysis of SSRs across taxa at an unprecedented scale. Our analysis indicates that the SSR composition of organisms with heterogeneous cell types is highly constrained, while simpler organisms such as protists, green algae and fungi show greater diversity in motif abundance, density and GC content. The microsatellite dataset generated in this work provides a large number of candidates for functional analysis and for studying their roles across the evolutionary landscape. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5516-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6387519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63875192019-03-04 Patterns of microsatellite distribution across eukaryotic genomes Srivastava, Surabhi Avvaru, Akshay Kumar Sowpati, Divya Tej Mishra, Rakesh K. BMC Genomics Research Article BACKGROUND: Microsatellites, or Simple Sequence Repeats (SSRs), are short tandem repeats of 1–6 nt motifs present in all genomes. Emerging evidence points to their role in cellular processes and gene regulation. Despite the huge resource of genomic information currently available, SSRs have been studied in a limited context and compared across relatively few species. RESULTS: We have identified ~ 685 million eukaryotic microsatellites and analyzed their genomic trends across 15 taxonomic subgroups from protists to mammals. The distribution of SSRs reveals taxon-specific variations in their exonic, intronic and intergenic densities. Our analysis reveals the differences among non-related species and novel patterns uniquely demarcating closely related species. We document several repeats common across subgroups as well as rare SSRs that are excluded almost throughout evolution. We further identify species-specific signatures in pathogens like Leishmania as well as in cereal crops, Drosophila, birds and primates. We also find that distinct SSRs preferentially exist as long repeating units in different subgroups; most unicellular organisms show no length preference for any SSR class, while many SSR motifs accumulate as long repeats in complex organisms, especially in mammals. CONCLUSIONS: We present a comprehensive analysis of SSRs across taxa at an unprecedented scale. Our analysis indicates that the SSR composition of organisms with heterogeneous cell types is highly constrained, while simpler organisms such as protists, green algae and fungi show greater diversity in motif abundance, density and GC content. The microsatellite dataset generated in this work provides a large number of candidates for functional analysis and for studying their roles across the evolutionary landscape. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5516-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-22 /pmc/articles/PMC6387519/ /pubmed/30795733 http://dx.doi.org/10.1186/s12864-019-5516-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Srivastava, Surabhi Avvaru, Akshay Kumar Sowpati, Divya Tej Mishra, Rakesh K. Patterns of microsatellite distribution across eukaryotic genomes |
title | Patterns of microsatellite distribution across eukaryotic genomes |
title_full | Patterns of microsatellite distribution across eukaryotic genomes |
title_fullStr | Patterns of microsatellite distribution across eukaryotic genomes |
title_full_unstemmed | Patterns of microsatellite distribution across eukaryotic genomes |
title_short | Patterns of microsatellite distribution across eukaryotic genomes |
title_sort | patterns of microsatellite distribution across eukaryotic genomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387519/ https://www.ncbi.nlm.nih.gov/pubmed/30795733 http://dx.doi.org/10.1186/s12864-019-5516-5 |
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