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Record W958004807 · doi:10.1128/9781555815837.ch20

Dikaryons, Diploids, and Evolution

2014· book-chapter· en· W958004807 on OpenAlexaff
James B. Anderson, Linda M. Kohn

Bibliographic record

VenueASM Press eBooks · 2014
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDikaryonBiologyMating typePloidyGeneticsNuclear geneGenomeEvolutionary biologyGene

Abstract

fetched live from OpenAlex

The majority of the genetic inferences about dikaryons, diploids, and their interactions reviewed by John Raper in Genetics of Sexuality in Higher Fungi in 1966 remain essentially unchanged to the present. This review examines the immediate and long-term consequences of dikaryosis, with comparison to diploidy. In keeping with the theme of Raper's book Genetics of Sexuality in Higher Fungi, it focuses on fungi with prolonged dikaryotic phases, mainly the Hymenomycetes. The four interrelated conclusions of this review are that (i) the known dynamics of nuclear migration and dikaryon formation suggest that mating in nature is asymmetric for male and female function, (ii) the transmissions of nuclear and mitochondrial genomes follow different rules, (iii) dikaryons produce recombinant genotypes without fruiting, and (iv) dikaryons and diploids carry different expectations for evolution. In addition to the genetic differences between diploids and dikaryons their different phenotypic responses may confer advantages or disadvantages depending on conditions. With an enhanced range of phenotypes, dikaryons might be more adept than diploids in coping with heterogeneous environments. It may be possible to make fair comparisons of dikaryotic cell populations with and without opportunities for nuclear-mitochondrial genomic conflict, somatic recombination, and diploidy and to compare the evolutionary outcomes.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.017
GPT teacher head0.191
Teacher spread0.175 · 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 designTheoretical or conceptual
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

Citations48
Published2014
Admission routes1
Has abstractyes

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