Evidence map›Paper›PMID 33123966›Full record

ArticleEcotoxicology (London, England)2021

Metatranscriptomic analysis reveals active microbes and genes responded to short-term Cr(VI) stress.

Zhengsheng Yu, Yaxin Pei, Shuai Zhao, Apurva Kakade, Aman Khan, Monika Sharma, Hajira Zain, Pengya Feng, Jing Ji, Tuoyu Zhou and 3 more

Abstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2021. 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

13 authors.

Zhengsheng Yu *Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Yaxin Pei *Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Shuai ZhaoGansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Science, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Apurva KakadeGansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Science, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Aman KhanMinistry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Monika SharmaGansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Science, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Hajira ZainGansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Science, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Pengya FengGansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Science, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Jing JiMinistry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Tuoyu ZhouMinistry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Haoyang WangMcMaster University, 1280 Main Street West, Hamilton, ON, Canada.
Jingyuan WuThe First Clinical Medical College, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China.
Xiangkai LiMinistry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Tianshuinanlu #222, Lanzhou, 730000, Gansu, PR China. xkli@lzu.edu.cn.ORCID http://orcid.org/0000-0003-2931-7565

Funding

Fundamental Research Funds for the Central Universities lzujbky-2018-it47Gansu Science and Technology Department 17ZD2WA017National Natural Science Foundation of China 31870082
6 · The paper itself

Abstract

Heavy metals have been severely polluting the environment. However, the response mechanism of microbial communities to short-term heavy metals stress remains unclear. In this study, metagenomics (MG) and metatranscriptomics (MT) was performed to observe the microbial response to short-term Cr(VI) stress. MG data showed that 99.1% of species were similar in the control and Cr(VI) treated groups. However, MT data demonstrated that 83% of the microbes were active in which 58.7% increased, while the relative abundance of 41.3% decreased after short-term Cr(VI) incubation. The MT results also revealed 9% of microbes were dormant in samples. Genes associated with oxidative stress, Cr(VI) transport, resistance, and reduction, as well as genes with unknown functions were 2-10 times upregulated after Cr(VI) treatment. To further confirm the function of unknown genes, two genes (314 and 494) were selected to detect the Cr(VI) resistance and reduction ability. The results showed that these genes significantly increased the Cr(VI) remediation ability of Escherichia coli. MT results also revealed an increase in the expression of some rare genera (at least two times) after Cr(VI) treatment, indicating these rare species played a crucial role in microbial response to short-term Cr(VI) stress. In summary, MT is an efficient way to understand the role of active and dormant microbes in specific environmental conditions.

Indexed as

Metals, HeavyMicrobiotaChromiumMetagenomicsChromiumchromium hexavalent ionMetals, HeavyActive microbesDormant microbesFunction-unknown genesRare generaShort-term Cr(VI) stress

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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.