Evidence map›Paper›PMID 34721345›Full record

ArticleFrontiers in microbiology2021

Large-Scale Characterization of the Soil Microbiome in Ancient Tea Plantations Using High-Throughput 16S rRNA and Internal Transcribed Spacer Amplicon Sequencing.

Ling Kui, Guisheng Xiang, Ya Wang, Zijun Wang, Guorong Li, Dawei Li, Jing Yan, Shuang Ye, Chunping Wang, Ling Yang and 11 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  18. Fungal isolates influence the quality ofFrontiers in plant science · 2022
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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

21 authors at 7 institutions in 2 countries.

Ling KuiShenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Guisheng XiangYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Ya WangCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, China.
Zijun WangYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Guorong LiLincang Tea Research Institute, Lincang, China.
Dawei LiYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Jing YanYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Shuang YeYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Chunping WangYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Ling YangYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Shiyu ZhangYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Shuangyan ZhangYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Ling ZhouYunnan Agricultural University Applied Genomics Technology Laboratory, School of Biological Big Data, Yunnan Agricultural University, Kunming, China.
Heng GuiCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China.
Jianchu XuCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China.
Wei ChenCollege of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China.
Jun ZhangShenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Tingyuan HuangGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Aasim MajeedMolecular Genetics Laboratory, Central University of Punjab, Lahore, India.
Jun ShengState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China.
Yang DongState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China.
Yunnan Agricultural University · CNGuangzhou Development Zone Hospital · CNCentral University of Punjab · INChinese Academy of Sciences · CNGuangzhou Center for Disease Control and Prevention · CNKunming Institute of Botany · CNTea Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a special interaction between the environment, soil microorganisms, and tea plants, which constitute the ecosystem of tea plantations. Influenced by environmental factors and human management, the changes in soil microbial community affected the growth, quality, and yield of tea plants. However, little is known about the composition and structure of soil bacterial and fungal communities in 100-year-old tea plantations and the mechanisms by which they are affected. In this regard, we characterized the microbiome of tea plantation soils by considering the bacterial and fungal communities in 448 soil samples from 101 ancient tea plantations in eight counties of Lincang city, which is one of the tea domestication centers in the world. 16S and Internal Transcribed Spacer (ITS) rRNA high-throughput amplicon sequencing techniques were applied in this study. The results showed that the abundance, diversity, and composition of the bacterial and fungal communities have different sensitivity with varying pH, altitude, and latitude. pH and altitude affect soil microbial communities, and bacterial communities are more sensitive than fungi in terms of abundance and diversity to pH. The highest α-diversity of bacterial communities is shown in the pH 4.50-5.00 and 2,200-m group, and fungi peaked in the pH 5.00-5.50 and 900-m group. Because of environmental and geographical factors, all microbes are similarly changing, and further correlations showed that the composition and structure of bacterial communities are more sensitive than fungal communities, which were affected by latitude and altitude. In conclusion, the interference of anthropogenic activities plays a more important role in governing fungal community selection than environmental or geographical factors, whereas for the bacterial community, it is more selective to environment adaptation than to adaptation to human activities.

Indexed as

16S and ITS rRNAancient tea plantationsCamellia sinensis var. assamicafunctionmicrobiome

Identifiers

PMID34721345
PMCPMC8555698
OpenAlexW3207617009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.