| 2 | Metagenomic insights into the effects of submerged plants on functional potential of microbial communities in wetland sediments显示文摘Submerged plants in wetlands play important roles as ecosystem engineers to improve self-purification and promote elemental cycling.However,their effects on the functional capacity of microbial communities in wetland sediments remain poorly understood.Here,we provide detailed metagenomic insights into the biogeochemical potential of microbial communities in wetland sediments with and without submerged plants(i.e.,Vallisneria natans).A large number of functional genes involved in carbon(C),nitrogen(N)and sulfur(S)cycling were detected in the wetland sediments.However,most functional genes showed higher abundance in sediments with submerged plants than in those without plants.Based on the comparison of annotated functional genes in the N and S cycling databases(i.e.,NCycDB and SCycDB),we found that genes involved in nitrogen fixation(e.g.,nifD/H/K/W),assimilatory nitrate reduction(e.g.,nasA and nirA),denitrification(e.g.,nirK/S and nosZ),assimilatory sulfate reduction(e.g.,cysD/H/J/N/Q and sir),and sulfur oxidation(e.g.,glpE,soeA,sqr and sseA)were significantly higher(correctedp<0.05)in vegetated vs.unvegetated sediments.This could be mainly driven by environmental factors including total phosphorus,total nitrogen,and C:N ratio.The binning of metagenomes further revealed that some archaeal taxa could have the potential of methane metabolism including hydrogenotrophic,acetoclastic,and methylotrophic methanogenesis,which are crucial to the wetland methane budget and carbon cycling.This study opens a new avenue for linking submerged plants with microbial functions,and has further implications for understanding global carbon,nitrogen and sulfur cycling in wetland ecosystems. | Binhao Wang Xiafei Zheng Hangjun Zhang Xiaoli Yu Yingli Lian Xueqin Yang Huang Yu Ruiwen Hu Zhili He Fanshu Xiao Qingyun Yan | 2021 | Marine Life Science & Technology2021，3，4： | 1 |
| 3 | Environmental selection and evolutionary process jointly shape genomic and functional profiles of mangrove rhizosphere microbiomes显示文摘Mangrove reforestation with introduced species has been an important strategy to restore mangrove ecosystem functioning.However,how such activities affect microbially driven methane(CH4),nitrogen(N),and sulfur(S)cycling of rhizosphere microbiomes remains unclear.To understand the effect of environmental selection and the evolutionary process on microbially driven biogeochemical cycles in native and introduced mangrove rhizospheres,we analyzed key genomic and functional profiles of rhizosphere microbiomes from native and introduced mangrove species by metagenome sequencing technologies.Compared with the native mangrove(Kandelia obovata,KO),the introduced mangrove(Sonneratia apetala,SA)rhizosphere microbiome had significantly(p<0.05)higher average genome size(AGS)(5.8 vs.5.5 Mb),average 16S ribosomal RNA gene copy number(3.5 vs.3.1),relative abundances of mobile genetic elements,and functional diversity in terms of the Shannon index(7.88 vs.7.84)but lower functional potentials involved in CH4 cycling(e.g.,mcrABCDG and pmoABC),N2 fixation(nifHDK),and inorganic S cycling(dsrAB,dsrC,dsrMKJOP,soxB,sqr,and fccAB).Similar results were also observed from the recovered Proteobacterial metagenome-assembled genomes with a higher AGS and distinct functions in the introduced mangrove rhizosphere.Additionally,salinity and ammonium were identified as the main environmental drivers of functional profiles of mangrove rhizosphere microbiomes through deterministic processes.This study advances our understanding of microbially mediated biogeochemical cycling of CH_(4),N,and S in the mangrove rhizosphere and provides novel insights into the influence of environmental selection and evolutionary processes on ecosystem functions,which has important implications for future mangrove reforestation. | Xiaoli Yu Qichao Tu Jihua Liu Yisheng Peng Cheng Wang Fanshu Xiao Yingli Lian Xueqin Yang Ruiwen Hu Huang Yu Lu Qian Daoming Wu Ziying He Longfei Shu Qiang He Yun Tian Faming Wang Shanquan Wang Bo Wu Zhijian Huang Jianguo He Qingyun Yan Zhili He | 2023 | mLife2023，2，3： | 0 |
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