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Record W2787736993 · doi:10.1038/s41559-018-0473-y

Clonal polymorphism and high heterozygosity in the celibate genome of the Amazon molly

2018· article· en· W2787736993 on OpenAlexaff
Wesley C. Warren, Raquel García-Pérez, Sen Xu, Kathrin P. Lampert, Domitille Chalopin, Matthias Stöck, Laurence Loewe, Yuan Lü, Lukas F. K. Kuderna, Patrick Minx, Michael J. Montague, Chad Tomlinson, LaDeana W. Hillier, Daniel N. Murphy, John Wang, Zhongwei Wang, Constantino Macı́as Garcı́a, Gregg C. W. Thomas, Jean-Nicolas Volff, Fabiana Farias, Bronwen Aken, Ronald B. Walter, Kim D. Pruitt, Tomàs Marquès‐Bonet, Matthew W. Hahn, Susanne Kneitz, Michael Lynch, Manfred Schartl

Bibliographic record

VenueNature Ecology & Evolution · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEvolution and Genetic Dynamics
Canadian institutionsMcGill Genome Centre
FundersDivision of Biological InfrastructureNational Institutes of HealthNational Science FoundationGeneralitat de CatalunyaU.S. National Library of MedicineDeutsche ForschungsgemeinschaftNational Center for Research ResourcesEuropean Molecular Biology LaboratoryWellcome Trust
KeywordsBiologyLoss of heterozygosityAsexualityGenomeEvolutionary biologyGeneticsVertebrateGeneAllele

Abstract

fetched live from OpenAlex

The extreme rarity of asexual vertebrates in nature is generally explained by genomic decay due to absence of meiotic recombination, thus leading to extinction of such lineages. We explore features of a vertebrate asexual genome, the Amazon molly, Poecilia formosa, and find few signs of genetic degeneration but unique genetic variability and ongoing evolution. We uncovered a substantial clonal polymorphism and, as a conserved feature from its interspecific hybrid origin, a 10-fold higher heterozygosity than in the sexual parental species. These characteristics seem to be a principal reason for the unpredicted fitness of this asexual vertebrate. Our data suggest that asexual vertebrate lineages are scarce not because they are at a disadvantage, but because the genomic combinations required to bypass meiosis and to make up a functioning hybrid genome are rarely met in nature.

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 score0.002

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 head0.002
GPT teacher head0.206
Teacher spread0.204 · 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

Citations152
Published2018
Admission routes1
Has abstractyes

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