Biogas Residues Improved Microbial Diversity and Disease Suppression Function under Extent Indigenous Soil Microbial Biomass.
Yubin ZhaoKai HuJiadong YuMd Tariful Alam KhanYafan CaiXiaoling ZhaoZehui ZhengYuegao HuZongjun CuiXiaofen WangPublished in: Life (Basel, Switzerland) (2023)
Indigenous soil microbial biomass (ISMB) plays a key role in maintaining essential functions and biodiversity of soil health. One of the critical unknowns is how the indigenous microorganisms respond to different fertilizers which is directly related to agricultural production. Therefore, we used Mi-Seq sequencing and network analyses to compare the response of ISMB to biogas residue and chemical fertilizers. The results showed that crop production was profoundly influenced by levels of ISMB present and is further dependent on the strategy of fertilizer application. Higher ISMB primarily manifests through retention of richer microbial abundance, a balanced community structure, and tightened co-occurrence within a certain proportion of Nitrospirae , Rhizophlyctidaceae , and Gemmatimonadetes . Compared to chemical fertilizer, biogas residue resulted in higher production with more strongly linked nodes such as Actinobacteria , Chloroflexi and Gemmatimonadetes . Under the same level of ISMB, the microbial diversity was richer and co-occurrence was tighter when biogas residues were applied compared with chemical fertilizer. In addition, the higher level of ISMB with biogas residue applied had a lower abundance of potential fungal pathogens in both bulk and rhizosphere soil compared with chemical fertilizer. This study provides critical data to understand the influence of ISMB and biogas residue on soil ecological system.
Keyphrases
- public health
- sewage sludge
- anaerobic digestion
- microbial community
- antibiotic resistance genes
- heavy metals
- municipal solid waste
- plant growth
- climate change
- single cell
- human health
- healthcare
- mental health
- genome wide
- artificial intelligence
- amino acid
- wastewater treatment
- lymph node
- social media
- risk assessment
- big data
- health information