Evidence map›Paper›PMID 33902447›Full record

ArticleBMC genomics2021

Genome of the destructive oomycete Phytophthora cinnamomi provides insights into its pathogenicity and adaptive potential.

Juanita Engelbrecht, Tuan A Duong, S Ashok Prabhu, Mohamed Seedat, Noëlani van den Berg

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
15.3field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 62 citations in OpenAlex.

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  19. Genome resources and whole genome resequencing ofFrontiers in plant science · 2023
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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 1 institution in 1 country.

Juanita EngelbrechtDepartment of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa. juanita.engelbrecht@up.ac.za.
Tuan A DuongDepartment of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa.
S Ashok PrabhuDepartment of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa.
Mohamed SeedatDepartment of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa.
Noëlani van den BergDepartment of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa.
University of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhytophthora cinnamomi is an oomycete pathogen of global relevance. It is considered as one of the most invasive species, which has caused irreversible damage to natural ecosystems and horticultural crops. There is currently a lack of a high-quality reference genome for this species despite several attempts that have been made towards sequencing its genome. The lack of a good quality genome sequence has been a setback for various genetic and genomic research to be done on this species. As a consequence, little is known regarding its genome characteristics and how these contribute to its pathogenicity and invasiveness.

resultsIn this work we generated a high-quality genome sequence and annotation for P. cinnamomi using a combination of Oxford Nanopore and Illumina sequencing technologies. The annotation was done using RNA-Seq data as supporting gene evidence. The final assembly consisted of 133 scaffolds, with an estimated genome size of 109.7 Mb, N50 of 1.18 Mb, and BUSCO completeness score of 97.5%. Genome partitioning analysis revealed that P. cinnamomi has a two-speed genome characteristic, similar to that of other oomycetes and fungal plant pathogens. In planta gene expression analysis revealed up-regulation of pathogenicity-related genes, suggesting their important roles during infection and host degradation.

conclusionThis study has provided a high-quality reference genome and annotation for P. cinnamomi. This is among the best assembled genomes for any Phytophthora species assembled to date and thus resulted in improved identification and characterization of pathogenicity-related genes, some of which were undetected in previous versions of genome assemblies. Phytophthora cinnamomi harbours a large number of effector genes which are located in the gene-poor regions of the genome. This unique genomic partitioning provides P. cinnamomi with a high level of adaptability and could contribute to its success as a highly invasive species. Finally, the genome sequence, its annotation and the pathogenicity effectors identified in this study will serve as an important resource that will enable future studies to better understand and mitigate the impact of this important pathogen.

Indexed as

PhytophthoraEcosystemGenomicsPlant DiseasesVirulenceEffectorsInvasiveOomycetePhytophthoraTwo-speed genome

Identifiers

PMID33902447
PMCPMC8074420
OpenAlexW3158655434

What OpenQuestion holds

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LicenceCC BY
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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.