Evidence map›Paper›PMID 25888292›Full record

ArticleBMC genomics2015

Natural variation of gene models in Drosophila melanogaster.

Yerbol Z Kurmangaliyev, Alexander V Favorov, Noha M Osman, Kjong-Van Lehmann, Daniel Campo, Matthew P Salomon, John Tower, Mikhail S Gelfand, Sergey V Nuzhdin

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 7 institutions in 3 countries.

Yerbol Z KurmangaliyevUniversity of Southern California, Los Angeles, CA, USA. kurmanga@usc.edu.
Alexander V FavorovJohns Hopkins University School of Medicine, Baltimore, MD, USA. favorov@sensi.org.
Noha M OsmanUniversity of Southern California, Los Angeles, CA, USA. osman.noha@yahoo.com.
Kjong-Van LehmannMemorial Sloan Kettering Cancer Center, Zuckerman Research Center, New York, NY, USA. lehmann@cbio.mskcc.org.
Daniel CampoUniversity of Southern California, Los Angeles, CA, USA. dcampo@usc.edu.
Matthew P SalomonUniversity of Southern California, Los Angeles, CA, USA. msalomon@usc.edu.
John TowerUniversity of Southern California, Los Angeles, CA, USA. jtower@usc.edu.
Mikhail S GelfandInstitute for Information Transmission Problems (Kharkevich Institute), Moscow, Russia. gelfand@iitp.ru.
Sergey V NuzhdinUniversity of Southern California, Los Angeles, CA, USA. snuzhdin@usc.edu.
University of Southern California · USInstitute for Information Transmission Problems · RUJohns Hopkins University · USLomonosov Moscow State University · RUMemorial Sloan Kettering Cancer Center · USNational Research Centre · EGPeter the Great St. Petersburg Polytechnic University · RU

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
Multi-scale modeling of genetic variation in a developmental networkU01GM103804 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEPACE, ANGELA H, MARJORAM, PAUL · 2013 to 2016
$2.0M
Blended Inheritance As a Genetic Consequence of Unlimited RegenerationR01GM098741 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NUZHDIN, SERGEY V · 2011 to 2014
$1.3M
Quantitative Comparisons between genotypes and model speciesR01GM102227 · NIGMS · UNIVERSITY OF FLORIDA · PI MCINTYRE, LAUREN M. · 2012 to 2015
$1.2M
NHGRI NIH HHS P50 HG002790NIGMS NIH HHS R01 GM098741NIGMS NIH HHS R01GM098741NIGMS NIH HHS R01 GM102227NIGMS NIH HHS U01 GM103804NIGMS NIH HHS UO1 GM103804
6 · The paper itself

Abstract

backgroundVariation within splicing regulatory sequences often leads to differences in gene models among individuals within a species. Two alleles of the same gene may express transcripts with different exon/intron structures and consequently produce functionally different proteins. Matching genomic and transcriptomic data allows us to identify putative regulatory variants associated with changes in splicing patterns.

resultsHere we analyzed natural variation of splicing patterns in the transcriptomes of 81 natural strains of Drosophila melanogaster with known genotypes. We identified dozens of genotype-specific splicing patterns associated with putative cis-splicing quantitative trait loci (sQTL). The majority of changes can be explained by mutations in splice sites. Allelic-imbalance in splicing patterns confirmed that the majority are regulated mainly by cis-genetic effects. Remarkably, allele-specific splicing changes often lead to qualitative changes in gene models, yielding many isoforms not previously annotated. The observed alterations are typically outside protein-coding regions or affect only very short protein segments.

conclusionsOverall, the sets of gene models appear to be flexible within D. melanogaster populations. The observed variation in splicing patterns are predicted to have limited effects on the encoded protein sequences. To our knowledge, this is the first sQTL mapping study in Drosophila.

Indexed as

Genetic VariationModels, GeneticAllelesAllelic ImbalanceAlternative SplicingAnimalsDrosophila melanogasterExonsGene Expression ProfilingGenotypeOpen Reading FramesPolymorphism, Single NucleotideQuantitative Trait LociRNA Splice SitesTranscriptomeRNA Splice Sites

Identifiers

PMID25888292
PMCPMC4373058
OpenAlexW2163229256

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.