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Genome-wide comparisons reveal broad variations in intraspecific SNP frequencies among species in Agaricomycetes, Basidiomycota

2023· preprint· en· W4321367787 on OpenAlexafffund
Kuan Zhao, Jianping Xu

Bibliographic record

VenueF1000Research · 2023
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsMcMaster University
FundersNatural Science Foundation of Jiangxi ProvinceNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsBiologyGenomeMitochondrial DNANuclear geneAgaricomycetesGeneticsEvolutionary biologyPopulationSNPSingle-nucleotide polymorphismBasidiomycotaGeneGenotypeBotany

Abstract

fetched live from OpenAlex

<ns3:p> <ns3:bold>Background:</ns3:bold> Genome sequence analyses can provide crucial information for understanding population history, speciation, and taxonomy. In Class Agaricomycetes where most mushroom-forming fungi belong, most species so far have been defined based on morphological, ecological, and/or molecular features. At present, there is little information on how species defined based on such features reflect their genome sequence diversity. In this study, we investigated genome-wide single nucleotide polymorphism (SNP) frequencies between strains within species to understand the patterns of variation. </ns3:p> <ns3:p> <ns3:bold>Methods:</ns3:bold> A total of 112 species in 72 genera of Agaricomycetes contained the nuclear and/or mitochondrial genome sequences from at least two strains each in public databases. Together, we obtained 398 and 106 available nuclear and mitochondrial genomes respectively from these taxa. Pairwise strain comparisons of the nuclear and mitochondrial genomes within individual species were conducted to obtain their SNP frequencies. </ns3:p> <ns3:p> <ns3:bold>Results:</ns3:bold> The SNP frequencies between nuclear genomes within individual species ranged 0–7.69% while for the mitochondrial genome, the pairwise strain SNP frequencies ranged 0–4.41%. The Spearman’s non-parametric rank correlation test showed a weak but statistically significant positive correlation between the paired nuclear and mitochondrial genome SNP frequencies. Overall, we observed a significantly higher SNP frequency in the nuclear genome than in the mitochondrial genomes between strains within most species. Interestingly, across the broad Basidiomycetes, the ratios of mitochondrial genome SNPs and nuclear genome SNPs between pairs of strains within each species were almost all lower than 1, with a mean of 0.24. </ns3:p> <ns3:p> <ns3:bold>Conclusions:</ns3:bold> Our analyses revealed broad variations among species in their intraspecific SNP frequencies in both the nuclear and mitochondrial genomes. However, there was broad consensus among the examined species in their mitochondrial to nuclear genome SNP ratios, suggesting that such a ratio could potentially serve as an indicator for genome sequence-based species identification. </ns3:p>

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.002

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 head0.100
GPT teacher head0.290
Teacher spread0.191 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2023
Admission routes2
Has abstractyes

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