Moss habitats distinctly affect their associated bacterial community structures as revealed by the high-throughput sequencing method

To better understand the factors that influence the distribution of bacteria associated with mosses, the communities inhabiting in five moss species from two different habitats in Beijing Songshan National Nature Reserve were investigated using the high-throughput sequencing method. The sequencing w...

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Bibliographic Details
Published in:World journal of microbiology & biotechnology 2018-04, Vol.34 (4), p.58-13, Article 58
Main Authors: Wang, Su, Tang, Jing Yan, Ma, Jing, Li, Xue Dong, Li, Yan Hong
Format: Article
Language:English
Subjects:
Applied Microbiology
Aquatic habitats
Bacteria
Bacteria - classification
Bacteria - genetics
Bacterial Physiological Phenomena
Beijing
Biochemistry
Biodiversity
Biomedical and Life Sciences
Biotechnology
Branches
Bryophyta
Bryophyta - microbiology
Communities
Community composition
Deoxyribonucleic acid
DNA
DNA, Bacterial - analysis
DNA, Ribosomal - genetics
Ecosystem
Environmental Engineering/Biotechnology
Genera
Habitats
High-Throughput Nucleotide Sequencing - methods
Life Sciences
Microbial Consortia
Microbiology
Mosses
Next-generation sequencing
Original Article
Phylogeny
Ribonucleic acid
RNA
RNA, Bacterial - analysis
RNA, Ribosomal, 16S - genetics
rRNA 16S
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Summary:To better understand the factors that influence the distribution of bacteria associated with mosses, the communities inhabiting in five moss species from two different habitats in Beijing Songshan National Nature Reserve were investigated using the high-throughput sequencing method. The sequencing was performed based on the bacterial 16S rRNA and 16S rDNA libraries. Results showed that there are abundant bacteria inhabiting in all the mosses sampled. The taxonomic analysis of these bacteria showed that they mainly consisted of those in the phyla Proteobacteria and Actinobacteria, and seldom were from phylum Armatimonadetes, Bacteroidetes and Firmicutes. The hierarchical cluster tree, based on the OTU level, divided the bacteria associated with all samples into two branches according to the habitat types of the host (terrestrial and aquatic). The PCoA diagram further divided the bacterial compositions into four groups according to both types of habitats and the data sources (DNA and RNA). There were larger differences in the bacterial community composition in the mosses collected from aquatic habitat than those of terrestrial one, whether at the DNA or RNA level. Thus, this survey supposed that the habitat where the host was growing was a relevant factor influencing bacterial community composition. In addition, the bacterial community detected at the RNA level was more sensitive to the habitat of the growing host, which could also be proved by the significantly differences in the predicted function by PICRUSt and the metabolically active dominant genera between different groups. This study expands the knowledge about the interactions between mosses and microbes.
ISSN:0959-3993
1573-0972
DOI:10.1007/s11274-018-2436-5