Evidence map›Paper›PMID 25920668›Full record

ArticleHeredity2015

Genome-wide QTL mapping of saltwater tolerance in sibling species of Anopheles (malaria vector) mosquitoes.

H A Smith, B J White, P Kundert, C Cheng, J Romero-Severson, P Andolfatto, N J Besansky

Abstract read
In one paragraph

Article in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

7 authors.

H A SmithDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
B J WhiteDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
P KundertDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
C ChengDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
J Romero-SeversonDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
P AndolfattoDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
N J BesanskyDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.

Funding

Genetic basis of salt tolerance in Anopheles gambiae s.l.R21AI101459 · NIAID · UNIVERSITY OF NOTRE DAME · PI BESANSKY, NORA JESSIE · 2012 to 2013
$401k
NIAID NIH HHS 1R21AI101459NIAID NIH HHS R21 AI101459
6 · The paper itself

Abstract

Although freshwater (FW) is the ancestral habitat for larval mosquitoes, multiple species independently evolved the ability to survive in saltwater (SW). Here, we use quantitative trait locus (QTL) mapping to investigate the genetic architecture of osmoregulation in Anopheles mosquitoes, vectors of human malaria. We analyzed 1134 backcross progeny from a cross between the obligate FW species An. coluzzii, and its closely related euryhaline sibling species An. merus. Tests of 2387 markers with Bayesian interval mapping and machine learning (random forests) yielded six genomic regions associated with SW tolerance. Overlap in QTL regions from both approaches enhances confidence in QTL identification. Evidence exists for synergistic as well as disruptive epistasis among loci. Intriguingly, one QTL region containing ion transporters spans the 2Rop chromosomal inversion that distinguishes these species. Rather than a simple trait controlled by one or a few loci, our data are most consistent with a complex, polygenic mode of inheritance.

Indexed as

Chromosome MappingQuantitative Trait LociAnimalsAnophelesBayes TheoremChromosome InversionCrosses, GeneticFemaleGenetic MarkersGenotypeInsect VectorsMalePolymorphism, Single NucleotideSalt ToleranceSeawaterSequence Analysis, DNAGenetic Markers

Identifiers

PMID25920668
PMCPMC4611235

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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.