Evidence map›Paper›PMID 25143005›Full record

ArticleBMC plant biology2014

Comparative in silico analysis of EST-SSRs in angiosperm and gymnosperm tree genera.

Sonali Sachin Ranade, Yao-Cheng Lin, Andrea Zuccolo, Yves Van de Peer, María del Rosario García-Gil

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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  4. The Plastome Sequences ofInternational journal of molecular sciences · 2022
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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

5 authors at 4 institutions in 4 countries.

Sonali Sachin Ranade
Yao-Cheng Lin
Andrea Zuccolo
Yves Van de Peer
María del Rosario García-Gil
Swedish University of Agricultural Sciences · SEGhent University · BEScuola Superiore Sant'Anna · ITVIB-UGent Center for Plant Systems Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimple Sequence Repeats (SSRs) derived from Expressed Sequence Tags (ESTs) belong to the expressed fraction of the genome and are important for gene regulation, recombination, DNA replication, cell cycle and mismatch repair. Here, we present a comparative analysis of the SSR motif distribution in the 5'UTR, ORF and 3'UTR fractions of ESTs across selected genera of woody trees representing gymnosperms (17 species from seven genera) and angiosperms (40 species from eight genera).

resultsOur analysis supports a modest contribution of EST-SSR length to genome size in gymnosperms, while EST-SSR density was not associated with genome size in neither angiosperms nor gymnosperms. Multiple factors seem to have contributed to the lower abundance of EST-SSRs in gymnosperms that has resulted in a non-linear relationship with genome size diversity. The AG/CT motif was found to be the most abundant in SSRs of both angiosperms and gymnosperms, with a relative increase in AT/AT in the latter. Our data also reveals a higher abundance of hexamers across the gymnosperm genera.

conclusionsOur analysis provides the foundation for future comparative studies at the species level to unravel the evolutionary processes that control the SSR genesis and divergence between angiosperm and gymnosperm tree species.

Indexed as

Expressed Sequence Tags3' Untranslated Regions5' Untranslated RegionsCycadopsidaMagnoliopsidaMicrosatellite RepeatsPlant ProteinsTrees3' Untranslated Regions5' Untranslated RegionsPlant Proteins

Identifiers

PMID25143005
PMCPMC4160553
OpenAlexW2016342121

What OpenQuestion holds

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LicenceCC BY
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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.