Evidence map›Paper›PMID 35841460›Full record

ArticleAMB Express2022

Diversity of epiphytic bacterial communities on male and female Sargassum thunbergii.

Jing Wang, Zhibo Yang, Gaoge Wang, Shuai Shang, Xuexi Tang, Hui Xiao

Abstract read
In one paragraph

Article in AMB Express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

6 authors.

Jing WangCollege of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
Zhibo YangCollege of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
Gaoge WangCollege of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
Shuai ShangCollege of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
Xuexi TangCollege of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
Hui XiaoCollege of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China. xiaohui@ouc.edu.cn.ORCID http://orcid.org/0000-0001-5654-3846

Funding

Key Technologies Research and Development Program 2019YFD0901204National Natural Science Foundation of China 42006144National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers U1606404Natural Science Foundation of Shandong Province U1806213
6 · The paper itself

Abstract

The epiphytic bacteria are the most abundant microorganisms on marine macroalga. However, there are few studies on the distribution of these epiphytic bacteria on male and female Sargassum thunbergii. In this study, the composition and diversity of epiphytic bacterial communities on male and female S. thunbergii were investigated by using the traditional culture-based method and 16S rDNA high-throughput sequencing. The results showed that the dominant bacterial phyla and genera were the same on both male and female S. thunbergii. However, there were significant differences in the relative abundance of epiphytic bacteria at the genus level. Furthermore, male and female S. thunbergii had their own indicative species and specific bacteria. In addition, the predicted functions of the epiphytic bacteria mainly differed in transport and metabolism, environmental adaptation and spore development. This study enriches the baseline knowledge of epiphytic bacteria related to dioecious algae and paves the way for further studies of the relationships between epiphytic microbial communities and the sex of algae.

Indexed as

16S rDNA high-throughput sequencingDiversityEpiphytic bacteriaMale and femaleSargassum thunbergii

Identifiers

PMID35841460
PMCPMC9288574

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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.