Evidence map›Paper›PMID 35604510›Full record

ArticleBotanical studies2022

Fungi associated with the potato taste defect in coffee beans from Rwanda.

Amanda R Hale, Paul M Ruegger, Philippe Rolshausen, James Borneman, Jiue-In Yang

Abstract read
In one paragraph

Article in Botanical studies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Amanda R HaleDepartment of Microbiology and Plant Pathology, University of California, Riverside, CA, 92521, USA.
Paul M RueggerDepartment of Microbiology and Plant Pathology, University of California, Riverside, CA, 92521, USA.
Philippe RolshausenDepartment of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA.
James BornemanDepartment of Microbiology and Plant Pathology, University of California, Riverside, CA, 92521, USA.
Jiue-In YangDepartment of Plant Pathology and Microbiology, National Taiwan University, Taipei, 10617, Taiwan. jiueinyang@ntu.edu.tw.

Funding

National Institute of Food and Agriculture 1018013National Institute of Food and Agriculture Hatch projects 1018010
6 · The paper itself

Abstract

backgroundPotato taste defect (PTD) of coffee is characterized by a raw potato like smell that leads to a lower quality taste in the brewed coffee, and harms the commercial value of some East African coffees. Although several causes for PTD have been proposed, none of them have been confirmed. Recently, high throughput sequencing techniques and bioinformatic analysis have shown great potential for identifying putative causal agents of plant diseases. Toward the goal of determining the cause of PTD, we examined raw coffee beans from Rwanda exhibiting varying PTD scores using an Illumina-based sequence analysis of the fungal rRNA ITS region.

resultsSix fungal amplicon sequence variants (ASVs) with high relative abundances correlated with coffee taste scores. Four of these ASVs exhibited negative correlations - Aspergillus versicolor, Penicillium cinnamopurpureum, Talaromyces radicus, and Thermomyces lanuginosus - indicating that they might be causing PTD. Two of these fungi exhibited positive correlations - Kazachstania humilis and Clavispora lusitaniae - indicating that they might be inhibiting organisms that cause PTD.

conclusionsThis study addressed PTD causality from a new angle by examining fungi with high throughput sequencing. To our knowledge, this is the first study characterizing fungi associated with PTD, providing candidates for both causality and biocontrol.

Indexed as

Amplicon sequencingHigh-throughput sequencingMicrobiomerRNA ITS region

Identifiers

PMID35604510
PMCPMC9127006

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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.