Evidence map›Paper›PMID 24595752›Full record

ArticleEnvironmental science and pollution research international2014

A comparative analysis of endophytic bacterial communities associated with hyperaccumulators growing in mine soils.

Liang Chen, Shenglian Luo, Jueliang Chen, Yong Wan, Xiaojie Li, Chengbin Liu, Feng Liu

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Liang ChenState Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University, Changsha, 410082, People's Republic of China.
Shenglian Luo
Jueliang Chen
Yong Wan
Xiaojie Li
Chengbin Liu
Feng Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between endophytic bacterial communities and hyperaccumulators in heavy metal-polluted sites are not fully understood. In this study, the diversity of stem-associated endophytic bacterial communities of two hyperaccumulators (Solanum nigrum L. and Phytolacca acinosa Roxb.) growing in mine soils was investigated using molecular-based methods. The denaturing gradient gel electrophoresis (DGGE) analysis showed that the endophytic bacterial community structures were affected by both the level of heavy metal pollution and the plant species. Heavy metal in contaminated soil determined, to a large extent, the composition of the different endophytic bacterial communities in S. nigrum growing across soil series (five sampling spots, and the concentration of Cd is from 0.2 to 35.5 mg/kg). Detailed analysis of endophytic bacterial populations by cloning of 16S rRNA genes amplified from the stems of the two plants at the same site revealed a different composition. A total of 51 taxa at the genus level that included α-, β-, and γ-Proteobacteria (68.8% of the two libraries clones), Bacteroidetes (9.0% of the two libraries clones), Firmicutes (2.0% of the two libraries clones), Actinobacteria (16.4% of the two libraries clones), and unclassified bacteria (3.8% of the two libraries clones) were found in the two clone libraries. The most abundant genus in S. nigrum was Sphingomonas (23.35%), while Pseudomonas prevailed in P. acinosa (21.40%). These results suggest that both heavy metal pollution and plant species contribute to the shaping of the dynamic endophytic bacterial communities associated with stems of hyperaccumulators.

Indexed as

MiningSoil MicrobiologyBacteriaDenaturing Gradient Gel ElectrophoresisMetals, HeavyPhylogenyPhytolaccaPlant StemsPolymerase Chain ReactionRNA, Ribosomal, 16SSoilSoil PollutantsSolanum nigrumMetals, HeavyRNA, Ribosomal, 16SSoilSoil Pollutants

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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.