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Record W4414958077 · doi:10.1128/aem.01245-25

The center of wheat domestication drives diversity of <i>Clavibacter</i> pathogens

2025· article· en· W4414958077 on OpenAlexaff
Asma Rahmanzadeh, S. Mohsen Taghavi, Sadegh Zarei, Hamid Abachi, Mozhde Hamidizade, Ardavan Soleimani, Xiang Li, Jiacheng Chuan, Nemanja Kuzmanović, Marie‐Agnès Jacques, Perrine Portier, Ebrahim Osdaghi

Bibliographic record

VenueApplied and Environmental Microbiology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsCanadian Food Inspection Agency
FundersShiraz UniversityIran National Science FoundationNational Science Foundation
KeywordsDomesticationFoothillsPopulationAgricultureGenusDiversity (politics)Cultivated plant taxonomyBiodiversity

Abstract

fetched live from OpenAlex

ABSTRACT Microbial plant pathogens possess higher diversity in the center of domestication of their host plants than in the introduced geographic area of the corresponding crops. In this study, the center of wheat, barley, and oat domestication in the Iranian Plateau was surveyed to shed light on the population structure, taxonomic diversity, and biology of Clavibacter species associated with these crops. Comprehensive field surveys completed with pathological assays and molecular-phylogenetic analyses showed that phylogenetically diverse groups of Clavibacter strains were associated with bacterial mosaic symptoms on small grain cereals in this domestication center. Besides the two previously described species, Clavibacter tessellarius and Clavibacter zhangzhiyongii , three clades of atypical Clavibacter strains, phylogenetically distinct from all described Clavibacter species, were isolated from wheat, barley, and oat in this study. Thus, Clavibacter strains associated with small grain cereals in the center of domestication of these crops belong to at least five taxonomically distinct clades, whereas simultaneous occurrence of multitaxa Clavibacter strains on small grain cereals has never been reported outside the Iranian Plateau. All five phylogenetic Clavibacter clades were capable of inducing mosaic and chlorosis on their host of isolation. Whole genome sequence-based comparative investigations showed that most virulence-associated genomic contents of the five Clavibacter clades isolated in this study were somewhat similar. Data obtained in this study suggest a correlation between the center of wheat, barley, and oat domestication and the high taxonomic diversity of the accompanying Clavibacter pathogens. Additional phylogeographic investigations in the area would strengthen this co-evolutionary hypothesis. IMPORTANCE Members of the gram-positive corynebacterial genus Clavibacter sp. (family Microbacteriaceae ) are seed-borne plant pathogens causing economically important plant diseases on annual crops and vegetables. While comprehensive global-scale studies have been conducted to study the population structure of Clavibacter species infecting tomato, potato, and pepper, phylogenomics investigations have not yet been conducted to monitor the taxonomic diversity, pathogenicity, and origin of Clavibacter strains pathogenic to small grain cereals. Archaeobotanical investigations suggested that human agriculture was established ≈11,000 years ago in the foothills of the Zagros Mountains in Northwestern Iran, while wheat and barley were among the very first crops domesticated in these areas. Thus, the analyses of taxonomic diversity and population structure of Clavibacter strains in the Iranian Plateau would shed light on the correlation between the center of domestication of these crops and the center of diversity of accompanying bacterial pathogens. Our findings showed that most of the Clavibacter strains isolated from small grain cereals in Iran belonged to the two previously described species Clavibacter tessellarius and Clavibacter zhangzhiyongii , while several strains were grouped in three distinct clades, all representing hypothetical novel species in the genus.

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 score0.837
Threshold uncertainty score0.143

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 head0.004
GPT teacher head0.158
Teacher spread0.154 · 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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