Evidence map›Paper›PMID 28192430›Full record

ArticlePLoS computational biology2017

Computational identification of the selenocysteine tRNA (tRNASec) in genomes.

Didac Santesmasses, Marco Mariotti, Roderic Guigó

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Review
  3. An atlas of plant selenium metabolism.The New phytologist · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Yerba mate (eLife · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Selenoproteins in Health.Molecules (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Unconventional genetic code systems in archaea.Frontiers in microbiology · 2022
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. The algal selenoproteomes.BMC genomics · 2020
    Article
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

3 authors at 2 institutions in 2 countries.

Didac SantesmassesCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.ORCID 0000-0003-3398-8943
Marco MariottiCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.ORCID 0000-0002-7411-4161
Roderic GuigóCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.ORCID 0000-0002-5738-4477
Universitat Pompeu Fabra · ESBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selenocysteine (Sec) is known as the 21st amino acid, a cysteine analogue with selenium replacing sulphur. Sec is inserted co-translationally in a small fraction of proteins called selenoproteins. In selenoprotein genes, the Sec specific tRNA (tRNASec) drives the recoding of highly specific UGA codons from stop signals to Sec. Although found in organisms from the three domains of life, Sec is not universal. Many species are completely devoid of selenoprotein genes and lack the ability to synthesize Sec. Since tRNASec is a key component in selenoprotein biosynthesis, its efficient identification in genomes is instrumental to characterize the utilization of Sec across lineages. Available tRNA prediction methods fail to accurately predict tRNASec, due to its unusual structural fold. Here, we present Secmarker, a method based on manually curated covariance models capturing the specific tRNASec structure in archaea, bacteria and eukaryotes. We exploited the non-universality of Sec to build a proper benchmark set for tRNASec predictions, which is not possible for the predictions of other tRNAs. We show that Secmarker greatly improves the accuracy of previously existing methods constituting a valuable tool to identify tRNASec genes, and to efficiently determine whether a genome contains selenoproteins. We used Secmarker to analyze a large set of fully sequenced genomes, and the results revealed new insights in the biology of tRNASec, led to the discovery of a novel bacterial selenoprotein family, and shed additional light on the phylogenetic distribution of selenoprotein containing genomes. Secmarker is freely accessible for download, or online analysis through a web server at http://secmarker.crg.cat.

Indexed as

AlgorithmsChromosome MappingGenetic MarkersGenomeGenome ComponentsHigh-Throughput Screening AssaysRNA, Transfer, Amino Acid-SpecificRNA, Transfer, Amino AcylSelenocysteineGenetic MarkersRNA, Transfer, Amino Acid-SpecificRNA, Transfer, Amino AcylSelenocysteineselenocysteinyl-tRNAtRNA, selenocysteine-

Identifiers

PMID28192430
PMCPMC5330540
OpenAlexW2588893359

What OpenQuestion holds

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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.