Evidence map›Paper›PMID 37680359›Full record

ArticleFrontiers in plant science2023

Analysis of changes in bacterial diversity in healthy and bacterial wilt mulberry samples using metagenomic sequencing and culture-dependent approaches.

Ting Yuan, Izhar Hyder Qazi, Jinhao Li, Peijia Yang, Hongyu Yang, Xueyin Zhang, Weili Liu, Jiping Liu

Abstract read
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Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

8 authors.

Ting YuanSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.
Izhar Hyder QaziSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.
Jinhao LiSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.
Peijia YangSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.
Hongyu YangSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.
Xueyin ZhangSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.
Weili LiuSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.
Jiping LiuSouth China Agriculture University, College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mulberry bacterial wilt is a serious destructive soil-borne disease caused by a complex and diverse group of pathogenic bacteria. Given that the bacterial wilt has been reported to cause a serious damage to the yield and quality of mulberry, therefore, elucidation of its main pathogenic groups is essential in improving our understanding of this disease and for the development of its potential control measures. Methods: In this study, combined metagenomic sequencing and culture-dependent approaches were used to investigate the microbiome of healthy and bacterial wilt mulberry samples. Results: The results showed that the healthy samples had higher bacterial diversity compared to the diseased samples. Meanwhile, the proportion of opportunistic pathogenic and drug-resistant bacterial flora represented by Discussion: In conclusion, this study provides a valuable reference for further focused research on the bacterial wilt of mulberry and other plants.

Indexed as

bacterial wiltdrug-resistant bacteriaEnterobacter cloacae complexKlebsiellamulberryopportunistic pathogensRSSC

Identifiers

PMID37680359
PMCPMC10481342

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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.