Evidence map›Paper›PMID 30647070›Full record

ArticleGenetics2019

The Genetics of Mating Song Evolution Underlying Rapid Speciation: Linking Quantitative Variation to Candidate Genes for Behavioral Isolation.

Mingzi Xu, Kerry L Shaw

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
11.8field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Coupling of Barriers to Gene Exchange: Causes and Consequences.Cold Spring Harbor perspectives in biology · 2024
    Review
  4. Genetic Coupling of Mate Recognition Systems in the Genomic Era.Cold Spring Harbor perspectives in biology · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Generation, Coordination, and Evolution of Neural Circuits for Vocal Communication.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Review
  12. 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 at 1 institution in 1 country.

Mingzi XuDepartment of Neurobiology and Behavior, Cornell University, Ithaca, New York 14853 mx52@cornell.edu.ORCID 0000-0001-7947-9138
Kerry L ShawDepartment of Neurobiology and Behavior, Cornell University, Ithaca, New York 14853.ORCID 0000-0001-8300-0425
Cornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differences in mating behaviors evolve early during speciation, eventually contributing to reproductive barriers between species. Knowledge of the genetic and genomic basis of these behaviors is therefore integral to a causal understanding of speciation. Acoustic behaviors are often part of the mating ritual in animal species. The temporal rhythms of mating songs are notably species-specific in many vertebrates and arthropods and often underlie assortative mating. Despite discoveries of mutations that disrupt the temporal rhythm of these songs, we know surprisingly little about genes affecting naturally occurring variation in the temporal pattern of singing behavior. In the rapidly speciating Hawaiian cricket genus

Indexed as

Genetic SpeciationReproductive IsolationSexual Behavior, AnimalVocalization, AnimalAnimalsCyclic Nucleotide-Gated Cation ChannelsEvolution, MolecularGenetic VariationGryllidaeInsect ProteinsMaleCyclic Nucleotide-Gated Cation ChannelsInsect Proteinsbehavioral barriercyclic nucleotide-gated ion channelgenetic architectureInterspecific variationLaupala

Identifiers

PMID30647070
PMCPMC6404256
OpenAlexW2909694874

What OpenQuestion holds

Textmetadata
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.