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Record W2757615688 · doi:10.1139/gen-2017-0068

The Z chromosome is enriched for sperm proteins in two divergent species of Lepidoptera

2017· article· en· W2757615688 on OpenAlexvenueno aff
Andrew J. Mongue, James R. Walters

Bibliographic record

VenueGenome · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyAutosomeGeneticsHeterogametic sexGeneDanausSpermSex linkageGenomeChromosomeW chromosomeX chromosomeLepidoptera genitaliaEvolutionary biologyKaryotype

Abstract

fetched live from OpenAlex

Genes that promote sexual conflict, such as those with a sex-limited fitness benefit, are expected to accumulate differentially on sex chromosomes relative to autosomes. Few tests of this hypothesis exist for male homogametic (ZZ) taxa, however, and most use RNA expression data to identify such genes. Here, we employ a different identification method by using proteomic analysis of sperm cells to identify genes with a sex-limited benefit. We tested for a bias in genomic location of sperm protein genes in two species of Lepidoptera. An excess of sperm protein genes was identified on the Z chromosomes of both the Carolina sphinx moth (Manduca sexta) and the monarch butterfly (Danaus plexippus). Taking into consideration a Z-autosome fusion in monarchs, we discover that the ancestrally sex-linked portion of the genome is the source of this enrichment, while the newly sex-linked portion still appears similar to autosomes in relative abundance of sperm protein genes. Together, these results point to an enrichment of male-beneficial genes on the Z chromosome and demonstrate the usefulness of proteomic datasets in sexual conflict research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.274
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2017
Admission routes1
Has abstractyes

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