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Record W4303615059 · doi:10.1007/s42161-022-01217-9

Culture collections as a source of historic strains for genomic studies in plant pathology

2022· article· en· W4303615059 on OpenAlexfundno aff
Matthew J. Ryan, Lily D. Peck, David Smith, J. Flood, Timothy G. Barraclough

Bibliographic record

VenueJournal of Plant Pathology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
FundersNatural Environment Research CouncilAustralian Centre for International Agricultural ResearchAgriculture and Agri-Food CanadaMinistry of Agriculture of the People's Republic of ChinaDepartment for International Development
KeywordsBiologyAgricultureResource (disambiguation)PathogenicityPopulationGenetic resourcesCommonwealthBiotechnologyEvolutionary biologyLibrary scienceEcologyGeographyArchaeologySociologyMicrobiologyDemography

Abstract

fetched live from OpenAlex

Abstract The first microbial culture collection was established in 1890, and subsequently, over the course of the twentieth century, the number of culture collections grew substantially. One such collection was the CABI-IMI Genetic Resources Collection, informally initiated at the origins of the Commonwealth Mycological Institute in 1920 and established as a UK National Collection in 1947. Its holdings reflect the activities of CABI in agriculture and the environment. Like many collections, it was originally established as a taxonomic reference resource. Over the years, deposits have included strains isolated from disease outbreaks in major crops from all parts of the world. Recent developments in genome sequencing technology and bioinformatic analysis have opened up the potential to characterise historic strains to shed more insights on their biology and evolution. In this paper we describe how the resources held within the CABI-IMI culture collection have helped track the emergence and divergence of Fusarium xylarioides , the coffee wilt pathogen, with a specific focus on the evolution of pathogenicity. Such studies illustrate the value held within the world’s culture collections—their importance in underpinning science and developing our understanding and evolution of plant diseases as well as how the impact of disease can be mitigated in response to climate change, in order to increase yields and feed the world’s burgeoning population.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

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

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 head0.023
GPT teacher head0.265
Teacher spread0.242 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations4
Published2022
Admission routes1
Has abstractyes

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