Evidence map›Paper›PMID 36212870›Full record

ArticleFrontiers in microbiology2022

Distribution pattern of endophytic bacteria and fungi in tea plants.

Haiyan Lin, Changwei Liu, Zhong Peng, Bin Tan, Kunbo Wang, Zhonghua Liu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Diversity and Advantages of Culturable Endophytic Fungi from Tea (Journal of fungi (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Endophytic bacterial communities in wild rice (Frontiers in plant science · 2023
    Article
  15. Review
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.

Haiyan LinKey Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha, China.
Changwei LiuKey Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha, China.
Zhong PengKey Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha, China.
Bin TanKey Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha, China.
Kunbo WangKey Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha, China.
Zhonghua LiuKey Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endophytes are critical for plant growth and health. Tea is an economically important crop in China. However, little is known about the distribution pattern and potential functions of endophytic communities in tea trees. In this study, two genotypes (BXZ and MF) cultivated under the same conditions were selected, and endophytic bacteria and fungi were analyzed through 16S rRNA and ITS high-throughput sequencing technologies, respectively. For endophytic bacteria, root tissues harbored the most diverse endophytes, followed by stems and old leaves, and new leaves possessed the lowest diversity. In contrast, old leave tissues harbored more diverse endophytic fungi than did root and stem tissues. Most of the dominant endophytes showed obvious cultivar and tissue preferences. Tissue type played a more important role in shaping community structure than did cultivar. Nevertheless, some endophytic bacterial groups, which mainly affiliated to

Indexed as

bacteriaendophytesfungileaftea

Identifiers

PMID36212870
PMCPMC9538792

What OpenQuestion holds

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Registered trials

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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.