Network analysis reveals the strengthening of microbial interaction in biological soil crust development in the Mu Us Sandy Land, northwestern China. (May 2020)
- Record Type:
- Journal Article
- Title:
- Network analysis reveals the strengthening of microbial interaction in biological soil crust development in the Mu Us Sandy Land, northwestern China. (May 2020)
- Main Title:
- Network analysis reveals the strengthening of microbial interaction in biological soil crust development in the Mu Us Sandy Land, northwestern China
- Authors:
- Zhou, Hong
Gao, Ying
Jia, Xiaohong
Wang, Mengmeng
Ding, Junjun
Cheng, Long
Bao, Fang
Wu, Bo - Abstract:
- Abstract: Although studies examining changes in the structure and diversity of microbial communities in biological soil crusts (BSCs) have increased, microbial interactions in BSCs are not currently fully understood. In this study, we applied a random matrix theory (RMT)-based network approach to construct bacterial, fungal and bacteria-fungal interaction networks for the four developmental stages of BSCs (bare sand, physical crusts, algae crusts and moss crusts) in the Mu Us Sandy Land, northwestern China. Our results showed that Firmicutes, Proteobacteria, Cyanobacteria and Actinobacteria were the keystone phylum in bacterial networks in the four developmental stages, respectively. Ascomycota was the keystone phylum in the fungal networks in all stages, and Basidiomycota was a further keystone phylum in the algae and moss crust networks. With the development of BSCs, complexity in bacterial and fungal networks increased, becoming more clustered and connected, indicating a strengthened pattern in microbial interactions with BSC development. Positive links dominated in all networks, showing that microbial synergism was important in the development of BSCs. Interestingly, with the development of BSCs, the proportion of negative links in bacterial networks increased and they decreased in fungal networks, suggesting more inter-community competition was present in the bacterial communities and less inter-community competition was present in the fungal communities. EnvironmentalAbstract: Although studies examining changes in the structure and diversity of microbial communities in biological soil crusts (BSCs) have increased, microbial interactions in BSCs are not currently fully understood. In this study, we applied a random matrix theory (RMT)-based network approach to construct bacterial, fungal and bacteria-fungal interaction networks for the four developmental stages of BSCs (bare sand, physical crusts, algae crusts and moss crusts) in the Mu Us Sandy Land, northwestern China. Our results showed that Firmicutes, Proteobacteria, Cyanobacteria and Actinobacteria were the keystone phylum in bacterial networks in the four developmental stages, respectively. Ascomycota was the keystone phylum in the fungal networks in all stages, and Basidiomycota was a further keystone phylum in the algae and moss crust networks. With the development of BSCs, complexity in bacterial and fungal networks increased, becoming more clustered and connected, indicating a strengthened pattern in microbial interactions with BSC development. Positive links dominated in all networks, showing that microbial synergism was important in the development of BSCs. Interestingly, with the development of BSCs, the proportion of negative links in bacterial networks increased and they decreased in fungal networks, suggesting more inter-community competition was present in the bacterial communities and less inter-community competition was present in the fungal communities. Environmental factors, especially total carbon and total organic carbon, constrained most bacterial and fungal communities, respectively. Our findings provided a new insight into understanding BSC developmental mechanisms and ecological functions in a desert ecosystem composed of a sandy land landscape in arid and semi-arid regions. Highlights: The keystone microbial taxa change with biological soil crust development. Microbial networks become more complex with biological soil crust development. With biological soil crust development, more competitions of bacteria than fungi. Environmental factors constraint microbial interactions of biological soil crusts. Network analysis is an effective method for studying microbial interactions. … (more)
- Is Part Of:
- Soil biology and biochemistry. Volume 144(2020)
- Journal:
- Soil biology and biochemistry
- Issue:
- Volume 144(2020)
- Issue Display:
- Volume 144, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 144
- Issue:
- 2020
- Issue Sort Value:
- 2020-0144-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Biological soil crusts -- Microbial interaction -- Bacterial and fungal communities -- Network analysis -- Random matrix theory (RMT) -- Semi-arid regions
Soil biochemistry -- Periodicals
Soil biology -- Periodicals
Sols -- Biochimie -- Périodiques
Sols -- Biologie -- Périodiques
Sols -- Microbiologie -- Périodiques
Bodembiologie
Biochemie
631.46 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00380717 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.soilbio.2020.107782 ↗
- Languages:
- English
- ISSNs:
- 0038-0717
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8321.820100
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13498.xml