Evidence map›Paper›PMID 18577217›Full record

ArticleBMC evolutionary biology2008

Male-biased genes are overrepresented among novel Drosophila pseudoobscura sex-biased genes.

Muralidhar Metta, Christian Schlötterer

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Gene content evolution on the X chromosome.Current opinion in genetics & development · 2008
    Review
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 at 2 institutions in 1 country.

Muralidhar MettaInstitut für Populationsgenetik, Veterinärmedizinische Universität Wien, Wien, Austria. murali@i122server.vu-wien.ac.at
Christian Schlötterer
University of Veterinary Medicine Vienna · ATUniversity of Vienna · AT

Funding

Austrian Science Fund FWF P 17373
6 · The paper itself

Abstract

backgroundThe origin of functional innovation is among the key questions in biology. Recently, it has been shown that new genes could arise from non-coding DNA and that such novel genes are often involved in male reproduction.

resultsWith the aim of identifying novel genes, we used the technique "generation of longer cDNA fragments from serial analysis of gene expression (SAGE) tags for gene identification (GLGI)" to extend 84 sex-biased 3'end SAGE tags that previously could not be mapped to the D. pseudoobscura transcriptome. Eleven male-biased and 33 female-biased GLGI fragments were obtained, of which 5 male-biased and 3 female-biased tags corresponded to putatively novel genes. This excess of novel genes with a male-biased gene expression pattern is consistent with previous results, which found novel genes to be primarily expressed in male reproductive tissues. 5' RACE analysis indicated that these novel transcripts are very short in length and could contain introns. Interspecies comparisons revealed that most novel transcripts show evidence for purifying selection.

conclusionOverall, our data indicate that among sex-biased genes a considerable number of novel genes (approximately 2-4%) exist in D. pseudoobscura, which could not be predicted based on D. melanogaster gene models.

Indexed as

Genes, InsectAnimalsDNA, ComplementaryDrosophilaEvolution, MolecularFemaleMaleMolecular Sequence DataSex CharacteristicsSpecies SpecificityDNA, Complementary

Identifiers

PMID18577217
PMCPMC2443716
OpenAlexW2158308831

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.