Evidence map›Paper›PMID 30047084›Full record

ArticleJournal of microbiology (Seoul, Korea)2018

Evidence of the genetic diversity and clonal population structure of Oenococcus oeni strains isolated from different wine-making regions of China.

Dongliang Yu, Kan Shi, Xiangyuan Wen, Fangshu Xie, Tao Wang, Shuwen Liu, Ling He

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Article in Journal of microbiology (Seoul, Korea), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

7 authors.

Dongliang YuCollege of Enology, Northwest Agriculture and Forestry University, Shaanxi, 712100, P. R. China.
Kan ShiCollege of Enology, Northwest Agriculture and Forestry University, Shaanxi, 712100, P. R. China.
Xiangyuan WenCollege of Enology, Northwest Agriculture and Forestry University, Shaanxi, 712100, P. R. China.
Fangshu XieCollege of Enology, Northwest Agriculture and Forestry University, Shaanxi, 712100, P. R. China.
Tao WangSichuan University of Science and Engineering, Sichuan, 643000, P. R. China.
Shuwen LiuCollege of Enology, Northwest Agriculture and Forestry University, Shaanxi, 712100, P. R. China. liushuwen@nwsuaf.edu.cn.
Ling HeCollege of Horticulture, Northwest Agriculture and Forestry University, Shaanxi, 712100, P. R. China. heliurui@nwsuaf.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of the genetic diversity and population structure of Oenococcus oeni (O. oeni) strains from China are lacking compared to other countries and regions. In this study, amplified fragment length polymorphism (AFLP) and multilocus sequence typing (MLST) methods were used to investigate the genetic diversity and regional evolutionary patterns of 38 O. oeni strains isolated from different wine-making regions in China. The results indicated that AFLP was markedly more efficient than MLST for typing O. oeni strains. AFLP distinguished 37 DNA patterns compared to 7 sequence types identified using MLST, corresponding to discriminatory indices of 0.999 and 0.602, respectively. The AFLP results revealed a high level of genetic diversity among the O. oeni strains from different regions of China, since two subpopulations and an intraspecific homology higher than 60% were observed. Phylogenetic analysis of the O. oeni strains using the MLST method also identified two major phylogroups, which were differentiated into two distinct clonal complexes by minimum spanning tree analysis. Neither intragenic nor intergenic recombination verified the existence of the clonal population structure of the O. oeni strains.

Indexed as

Genetic VariationAmplified Fragment Length Polymorphism AnalysisChinaGenotypeMultilocus Sequence TypingOenococcusPhylogenyWineamplified fragment length polymorphismclonal population structuregenetic diversitymultilocus sequence typingOenococcus oeni

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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.