Evidence map›Paper›PMID 35311514›Full record

ArticleApplied and environmental microbiology2022

Phylogenetics of Historical Host Switches in a Bacterial Plant Pathogen.

Alexandra Katz Kahn, Rodrigo P P Almeida

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  3. Article
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  10. Article
  11. Use ofPlants (Basel, Switzerland) · 2022
    Article
  12. Comparative Genomics ofMicroorganisms · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alexandra Katz KahnDepartment of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA.ORCID 0000-0001-6308-238X
Rodrigo P P AlmeidaDepartment of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA.ORCID 0000-0003-2888-9617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xylella fastidiosa is an insect-transmitted bacterial plant pathogen found across the Americas and, more recently, worldwide. X. fastidiosa infects plants of at least 563 species belonging to 82 botanical families. While the species X. fastidiosa infects many plants, particular strains have increased plant specificity. Understanding the molecular underpinnings of plant host specificity in X. fastidiosa is vital for predicting host shifts and epidemics. While there may exist multiple genetic determinants of host range in X. fastidiosa, the drivers of the unique relationships between X. fastidiosa and its hosts should be elucidated. Our objective with this study was to predict the ancestral plant hosts of this pathogen using phylogenetic and genomic methods based on a large data set of pathogen whole-genome data from agricultural hosts. We used genomic data to construct maximum-likelihood (ML) phylogenetic trees of subsets of the core and pan-genomes. With those trees, we ran ML ancestral state reconstructions of plant host at two taxonomic scales (genus and multiorder clades). Both the core and pan-genomes were informative in terms of predicting ancestral host state, giving new insight into the history of the plant hosts of X. fastidiosa. Subsequently, gene gain and loss in the pan-genome were found to be significantly correlated with plant host through genes that had statistically significant associations with particular hosts.

Indexed as

Plant DiseasesXylellaHumansMultilocus Sequence TypingPhylogenyPlantsancestral state reconstructiongenomic diversityhost-pathogen interactionshost specificitypan-genomephylogenetic analysisphylogenomicsphytopathogensplant microbiologypolicymakingquarantinetradeXylella fastidiosa

Identifiers

PMID35311514
PMCPMC9004383

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.