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Strand-specific RNA-seq analysis of the Acidithiobacillus ferrooxidans transcriptome in response to magnesium stress

Overview of attention for article published in Archives of Microbiology, April 2018
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Title
Strand-specific RNA-seq analysis of the Acidithiobacillus ferrooxidans transcriptome in response to magnesium stress
Published in
Archives of Microbiology, April 2018
DOI 10.1007/s00203-018-1503-5
Pubmed ID
Authors

Deping Tang, Jiangong Duan, Qiyu Gao, Yang Zhao, Yang Li, Peng Chen, Jianping Zhou, Zhengrong Wu, Ruixiang Xu, Hongyu Li

Abstract

Bioleaching is a promising process for 350 million tons Jinchuan low-grade pentlandite. But, Jinchuan pentlandite has lots of magnesium and high concentration of Mg2+ is harmful to bioleaching microorganisms. Thus, finding a way to improve the adaption of microorganisms to Mg2+ is a key for bioleaching. In the study, we found that oxidizing activity, bioleaching ability and biofilm formation of A.f were inhibited by Mg2+ stress. In addition, we analyzed mRNA and small RNA (sRNA) of Acidithiobacillus ferrooxidans (A.f) under Mg2+ stress by strand-specific RNA-sequencing (ssRNA-seq). After the bioinformatics process, 2475 coding genes were obtained, and there were 33 differential expression genes (DEGs) in 0.1 M-VS-Con, including 28 down-regulated and 5 up-regulated, whereas 52 DEGs were obtained in 0.5 M-VS-Con, including 28 down-regulated and 24 up-regulated. Gene ontology analysis showed most of DEGs were involved in catalytic activity, metabolic process and single-organism process. Furthermore, we identified 636 sRNA and some differential expression sRNA that may respond to Mg2+ stress. Further analysis of DEGs suggested that Mg2+ stress reduced biofilm formation perhaps through inhibiting Type IV Pili-related gene expression and inhibited bacterial activity perhaps through affecting carbon fixation. The study provided the foundation to understand the mechanisms of Mg2+ resistance in A.f and may be helpful to improve bioleaching ability for pentlandit.

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Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 7 33%
Student > Ph. D. Student 5 24%
Student > Bachelor 2 10%
Researcher 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 48%
Agricultural and Biological Sciences 6 29%
Environmental Science 1 5%
Medicine and Dentistry 1 5%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 April 2018.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from Archives of Microbiology
#2,366
of 2,800 outputs
Outputs of similar age
#290,399
of 329,244 outputs
Outputs of similar age from Archives of Microbiology
#21
of 23 outputs
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