Evidence map›Paper›PMID 26335107›Full record

ArticleBMC systems biology2015

The Wright stuff: reimagining path analysis reveals novel components of the sex determination hierarchy in Drosophila melanogaster.

Justin M Fear, Michelle N Arbeitman, Matthew P Salomon, Justin E Dalton, John Tower, Sergey V Nuzhdin, Lauren M McIntyre

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.0field-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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

7 authors at 3 institutions in 1 country.

Justin M FearDepartment of Molecular Genetics and Microbiology, University of Florida, CGRC Room 116, PO Box 100266, FL 32610-0266, Gainesville, FL, USA. jfear@ufl.edu.
Michelle N ArbeitmanBiomedical Science, Florida State University, Tallahassee, FL, USA. michelle.arbeitman@med.fsu.edu.
Matthew P SalomonMolecular and Computational Biology, University of California, Los Angeles, CA, USA. msalomon@usc.edu.
Justin E DaltonBiomedical Science, Florida State University, Tallahassee, FL, USA. justin.eric.dalton@gmail.com.
John TowerMolecular and Computational Biology, University of California, Los Angeles, CA, USA. jtower@usc.edu.
Sergey V NuzhdinMolecular and Computational Biology, University of California, Los Angeles, CA, USA. snuzhdin@usc.edu.
Lauren M McIntyreDepartment of Molecular Genetics and Microbiology, University of Florida, CGRC Room 116, PO Box 100266, FL 32610-0266, Gainesville, FL, USA. mcintyre@ufl.edu.
University of California, Los Angeles · USFlorida State University · USUniversity of Florida · US

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
Genes Underlying Reproductive Behavior and PhysiologyR01GM073039 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARBEITMAN, MICHELLE N · 2006 to 2020
$4.4M
AGING-SPECIFIC GENE EXPRESSION IN DROSOPHILAR01AG011833 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOWER, JOHN GERARD · 1994 to 2013
$2.8M
Population Genetic Framework for Neuroanatomical Mechanisms of Behavioral ModificR01MH091561 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NUZHDIN, SERGEY V · 2011 to 2014
$1.6M
Quantitative Comparisons between genotypes and model speciesR01GM102227 · NIGMS · UNIVERSITY OF FLORIDA · PI MCINTYRE, LAUREN M. · 2012 to 2015
$1.2M
NHGRI NIH HHS 5P50HG002790NHGRI NIH HHS P50 HG002790NIA NIH HHS AG011833NIA NIH HHS R01 AG011833NIGMS NIH HHS R01 GM073039NIGMS NIH HHS R01GM073039NIGMS NIH HHS R01 GM102227NIMH NIH HHS R01 MH091561NIMH NIH HHS R01MH091561PHS HHS GMS102227
6 · The paper itself

Abstract

backgroundThe Drosophila sex determination hierarchy is a classic example of a transcriptional regulatory hierarchy, with sex-specific isoforms regulating morphology and behavior. We use a structural equation modeling approach, leveraging natural genetic variation from two studies on Drosophila female head tissues--DSPR collection (596 F1-hybrids from crosses between DSPR sub-populations) and CEGS population (75 F1-hybrids from crosses between DGRP/Winters lines to a reference strain w1118)--to expand understanding of the sex hierarchy gene regulatory network (GRN). This approach is completely generalizable to any natural population, including humans.

resultsWe expanded the sex hierarchy GRN adding novel links among genes, including a link from fruitless (fru) to Sex-lethal (Sxl) identified in both populations. This link is further supported by the presence of fru binding sites in the Sxl locus. 754 candidate genes were added to the pathway, including the splicing factors male-specific lethal 2 and Rm62 as downstream targets of Sxl which are well-supported links in males. Independent studies of doublesex and transformer mutants support many additions, including evidence for a link between the sex hierarchy and metabolism, via Insulin-like receptor.

conclusionsThe genes added in the CEGS population were enriched for genes with sex-biased splicing and components of the spliceosome. A common goal of molecular biologists is to expand understanding about regulatory interactions among genes. Using natural alleles we can not only identify novel relationships, but using supervised approaches can order genes into a regulatory hierarchy. Combining these results with independent large effect mutation studies, allows clear candidates for detailed molecular follow-up to emerge.

Indexed as

Gene Regulatory NetworksModels, GeneticAnimalsComputational BiologyDNA-Binding ProteinsDrosophila melanogasterDrosophila ProteinsFemaleMaleNuclear ProteinsRNA, MessengerSex Determination ProcessesSupervised Machine LearningUnsupervised Machine LearningDNA-Binding ProteinsDrosophila ProteinsDSX protein, DrosophilaNuclear ProteinsRNA, MessengerTra protein, Drosophila

Identifiers

PMID26335107
PMCPMC4558766
OpenAlexW2153036445

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.