Evidence map›Paper›PMID 27245157›Full record

ArticleBMC bioinformatics2016

Are orphan genes protein-coding, prediction artifacts, or non-coding RNAs?

Neel Prabh, Christian Rödelsperger

Abstract read
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Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Review
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  7. Article
  8. Multiplex PCR Identification ofFoods (Basel, Switzerland) · 2022
    Article
  9. MultipleGenome research · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
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  15. Article
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  19. Article
  20. G3 (Bethesda, Md.) · 2019
    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

2 authors.

Neel PrabhDepartment for Evolutionary Biology, Max-Planck-Institute for Developmental Biology, Spemannstrasse 35, 72076, Tübingen, Germany.
Christian RödelspergerDepartment for Evolutionary Biology, Max-Planck-Institute for Developmental Biology, Spemannstrasse 35, 72076, Tübingen, Germany. christian.roedelsperger@tuebingen.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent genome sequencing projects reveal substantial numbers of taxonomically restricted, so called orphan genes that lack homology with genes from other evolutionary lineages. However, it is not clear to what extent orphan genes are real, genomic artifacts, or represent non-coding RNAs.

resultsHere, we use a simple set of assumptions to test the nature of orphan genes. First, a sequence that is transcribed is considered a real biological entity. Second, every sequence that is supported by proteome data or shows a depletion of non-synonymous substitutions is a protein-coding gene. Using genomic, transcriptomic and proteomic data for the nematode Pristionchus pacificus, we show that between 4129-7997 (42-81 %) of predicted orphan genes are expressed and 3818-7545 (39-76 %) of orphan genes are under negative selection. In three cases that exhibited strong evolutionary constraint but lacked expression evidence in 14 RNA-seq samples, we could experimentally validate the predicted gene structures. Comparing different data sets to infer selection on orphan gene clusters, we find that the presence of a closely related genome provides the most powerful resource to robustly identify evidence of negative selection. However, even in the absence of other genomic data, the availability of paralogous sequences was enough to show negative selection in 8-10 % of orphan genes.

conclusionsOur study shows that the great majority of previously identified orphan genes in P. pacificus are indeed protein-coding genes. Even though this work represents a case study on a single species, our approach can be transferred to genomic data of other non-model organisms in order to ascertain the protein-coding nature of orphan genes.

Indexed as

AnimalsGene ExpressionHumansMultigene FamilyNematodaProteomicsRNA, UntranslatedTranscription, GeneticRNA, UntranslateddN/dSGene expressionNegative selectionNematodesOrphan genesOrthologParalog

Identifiers

PMID27245157
PMCPMC4888513

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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.