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Record W3194579716 · doi:10.1007/s13225-021-00487-5

Appressorial interactions with host and their evolution

2021· article· en· W3194579716 on OpenAlexaff
K. W. Thilini Chethana, Ruvishika S. Jayawardena, Yi-Jyun Chen, Sirinapa Konta, Saowaluck Tibpromma, Chayanard Phukhamsakda, Pranami D. Abeywickrama, Milan C. Samarakoon, Chanokned Senwanna, Ausana Mapook, Xia Tang, Deecksha Gomdola, Diana S. Marasinghe, Oundhyalah D. Padaruth, A. Balasuriya, Jianping Xu, Saisamorn Lumyong, Kevin D. Hyde

Bibliographic record

VenueFungal Diversity · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsMcMaster University
FundersIntelligence Community Postdoctoral Research Fellowship ProgramThailand Research Fund
KeywordsAppressoriumBiologyCommensalismHyalineBotanyFungusMicrobiologyBacteriaGenetics

Abstract

fetched live from OpenAlex

Fungi have evolved diverse strategies to acquire nutrients as endophytes, saprobes, symbionts, or pathogens. Appressoria have been intensively studied due to their importance in attaching and breaching the host surface. These specialized infection structures have evolved into various morpho-types: proto-appressoria, hyaline appressoria, melanized (dark) appressoria, and compound appressoria. In this review, we discuss the differences in the formation, differentiation, and function of appressoria among fungi with diverse life strategies. Using DNA sequence information, LSU, 5.8S, SSU and rpb2 gene fragments, we reconstructed the ancestral states for appressorial types in the main phyla of fungi and fungus-like organisms and found that the hyaline appressoria was the most ancestral form. Our analysis estimated proto-appressoria diversification during the Mesozoic period (92–239 million years ago), however, its origin remains inconclusive. Our data suggest that these hyaline appressoria diversified into melanized or compound appressoria, with evidence of adaptive radiation.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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

Citations39
Published2021
Admission routes1
Has abstractyes

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