Evidence map›Paper›PMID 30795733›Full record

ArticleBMC genomics2019

Patterns of microsatellite distribution across eukaryotic genomes.

Surabhi Srivastava, Akshay Kumar Avvaru, Divya Tej Sowpati, Rakesh K Mishra

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 130 citations in OpenAlex.

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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Surabhi SrivastavaCSIR - Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad, 500007, India.
Akshay Kumar AvvaruCSIR - Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad, 500007, India.
Divya Tej SowpatiCSIR - Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad, 500007, India. tej@ccmb.res.in.
Rakesh K MishraCSIR - Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad, 500007, India. mishra@ccmb.res.in.ORCID http://orcid.org/0000-0001-6636-7380
Centre for Cellular and Molecular Biology · IN

Funding

Council of Scientific and Industrial Research BSC0118Council of Scientific and Industrial Research BSC0121
6 · The paper itself

Abstract

backgroundMicrosatellites, 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.

resultsWe 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.

conclusionsWe 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.

Indexed as

Microsatellite RepeatsAnimalsEukaryotaGenomeGenomicsHumansNucleotide MotifsEvolutionLength preferenceMicrosatellitesPhylogenomicsSSRTandem repeats

Identifiers

PMID30795733
PMCPMC6387519
OpenAlexW2935347158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.