Evidence map›Paper›PMID 35385921›Full record

ArticleThe plant pathology journal2022

Comparative Analyses of Four Complete Genomes in Pseudomonas amygdali Revealed Differential Adaptation to Hostile Environments and Secretion Systems.

Hyejung Jung, Hong-Seop Kim, Gil Han, Jungwook Park, Young-Su Seo

Open access · goldAbstract read
In one paragraph

Article in The plant pathology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 35% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Hyejung JungDepartment of Integrated Biological Science, Pusan National University, Busan 46241, Korea.
Hong-Seop KimKorea Seed & Variety Service, Pyeongchang 25343, Korea.
Gil HanDepartment of Integrated Biological Science, Pusan National University, Busan 46241, Korea.
Jungwook ParkDepartment of Integrated Biological Science, Pusan National University, Busan 46241, Korea.
Young-Su SeoDepartment of Integrated Biological Science, Pusan National University, Busan 46241, Korea.
Pusan National University · KRKorea Forest Service · KRNational Institute of Biological Resources · KR

Funding

Ministry of Education 2019R1A2C2006779Ministry of EnvironmentNakdonggang National Institute of Biological Resources NNIBR202202108National Research Foundation of Korea
6 · The paper itself

Abstract

Pseudomonas amygdali is a hemibiotrophic phytopathogen that causes disease in woody and herbaceous plants. Complete genomes of four P. amygdali pathovars were comparatively analyzed to decipher the impact of genomic diversity on host colonization. The pan-genome indicated that 3,928 core genes are conserved among pathovars, while 504-1,009 are unique to specific pathovars. The unique genome contained many mobile elements and exhibited a functional distribution different from the core genome. Genes involved in O-antigen biosynthesis and antimicrobial peptide resistance were significantly enriched for adaptation to hostile environments. While the type III secretion system was distributed in the core genome, unique genomes revealed a different organization of secretion systems as follows: type I in pv. tabaci, type II in pv. japonicus, type IV in pv. morsprunorum, and type VI in pv. lachrymans. These findings provide genetic insight into the dynamic interactions of the bacteria with plant hosts.

Indexed as

bacterial secretion systempan-genomepathovarPseudomonas amygdali

Identifiers

PMID35385921
PMCPMC9343901
OpenAlexW4220896742

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.