Evidence map›Paper›PMID 34601593›Full record

ArticleFEMS microbiology ecology2021

Apple endophyte community in relation to location, scion and rootstock genotypes and susceptibility to European canker.

Leone Olivieri, Robert J Saville, Alan C Gange, Xiangming Xu

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Leone OlivieriNIAB EMR, New Road, East Malling, Kent ME19 6BJ, UK.ORCID 0000-0002-1393-0747
Robert J SavilleNIAB EMR, New Road, East Malling, Kent ME19 6BJ, UK.
Alan C GangeDepartment of Biological Sciences, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK.ORCID 0000-0002-9918-1934
Xiangming XuNIAB EMR, New Road, East Malling, Kent ME19 6BJ, UK.ORCID 0000-0002-4567-7117

Funding

Biotechnology and Biological Sciences Research Council BB/P007899/1
6 · The paper itself

Abstract

European apple canker, caused by Neonectria ditissima, is a severe disease of apple. Achieving effective control is difficult with the currently available pesticides. Specific apple endophytes associated with cultivars may partially contribute to the cultivar response to the pathogen and thus could be used for disease management. We sought to determine whether the overall endophyte community differed among cultivars differing in their susceptibility to N. ditissima and to identify specific microbial groups associated with the susceptibility. Using Illumina MiSeq meta-barcoding, we profiled apple tree endophytes in 16 scion-rootstock combinations at two locations and quantified the relative contribution of scion, rootstock and location to the observed variability in the endophyte communities. Endophyte diversity was primarily affected by the orchard location (accounting for 29.4% and 85.9% of the total variation in the PC1 for bacteria and fungi, respectively), followed by the scion genotype (24.3% and 19.5% of PC2), whereas rootstock effects were small (<3% of PC1 and PC2). There were significant differences in the endophyte community between canker-resistant and -susceptible cultivars. Several bacterial and fungal endophyte groups had different relative abundance between susceptible and resistant cultivars. These endophyte groups included putative pathogen antagonists as well as plant pathogens. Their possible ecological roles in the N. ditissima pathosystem are discussed.

Indexed as

HypocrealesMalusEndophytesGenotypePlant DiseasesappleendophytesEuropean apple cankermeta-barcodingmicrobiomeNeonectria ditissima

Identifiers

PMID34601593
PMCPMC8497447

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.