Li, Wen-Jun


Publications
26

Insights into chemoautotrophic traits of a prevalent bacterial phylum CSP1-3, herein Sysuimicrobiota

Citation
Liu et al. (2024). National Science Review
Names
Sysuimicrobium Segetimicrobium genomatis Ts Segetimicrobium Geohabitans Sysuimicrobium tengchongense Fervidifonticultor quartus Fervidifonticultor secundus Humicultor Kaftiobacterium Segetimicrobiaceae Geohabitans tengchongensis Ts Sysuimicrobiia Sysuimicrobiota Sysuimicrobiales Sysuimicrobiaceae Kaftiobacterium secundum Ts Kaftiobacteriaceae Thermofontivivens Thermofontiviventaceae Thermofontivivens primus Ts Tepidifontimicrobium thermophilum Ts Tepidifontimicrobium Caldifonticola Sysuimicrobium calidum Ts Fervidifonticultor tertius Fervidifonticultor Humicultoraceae Calidihabitans tengchongensis Ts Calidihabitans Caldifonticola tengchongensis Ts Humicultor tengchongensis Ts Fervidifonticultor primus Ts
Abstract
Abstract Candidate bacterial phylum CSP1-3 has not been cultivated and is poorly understood. Here, we analyzed 112 CSP1-3 metagenome-assembled genomes (MAGs) and showed they are likely facultative anaerobes, with three of five families encoding autotrophy through the reductive glycine pathway (RGP), Wood–Ljungdahl pathway (WLP), or Calvin-Benson-Bassham (CBB), with hydrogen or sulfide as electron donors. Chemoautotrophic enrichments from hot spring sediments and fluorescence in si

Cultivation of novel Atribacterota from oil well provides new insight into their diversity, ecology, and evolution in anoxic, carbon-rich environments

Desertivirga arenae gen. nov., sp. nov. and Desertivirga brevis sp. nov., isolated from desert soil, and reclassification of Pedobacter xinjiangensis as Desertivirga xinjiangensis comb. nov. and Pedobacter mongoliensis as Paradesertivirga mongoliensis gen.nov., comb. nov

Citation
Li et al. (2024). International Journal of Systematic and Evolutionary Microbiology 74 (5)
Names
Desertivirga Paradesertivirga
Abstract
Two novel bacterial strains, designated as SYSU D00823T and SYSU D00873T, were isolated from sandy soil of the Gurbantunggut Desert in Xinjiang, north-west China. SYSU D00823T and SYSU D00873T shared 99.0 % 16S rRNA gene sequence identity, and were both most closely related to Pedobacter xinjiangensis 12157T with 96.1 % and 96.0 % similarities, respectively. Phylogenetic and phylogenomic analyses revealed that the two isolates and P. xinjiangensis 12157T formed a separate distinct cluster in a s

Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes

Citation
Eme et al. (2023). Nature 618 (7967)
Names
Asgardarchaeota
Abstract
AbstractIn the ongoing debates about eukaryogenesis—the series of evolutionary events leading to the emergence of the eukaryotic cell from prokaryotic ancestors—members of the Asgard archaea play a key part as the closest archaeal relatives of eukaryotes1. However, the nature and phylogenetic identity of the last common ancestor of Asgard archaea and eukaryotes remain unresolved2–4. Here we analyse distinct phylogenetic marker datasets of an expanded genomic sampling of Asgard archaea and evalua

Metagenomic Discovery of “ Candidatus Parvarchaeales”-Related Lineages Sheds Light on Adaptation and Diversification from Neutral-Thermal to Acidic-Mesothermal Environments

Citation
Rao et al. (2023). mSystems 8 (2)
Names
“Jingweiarchaeaceae” “Rehaiarchaeum fermentans” “Parvarchaeales” “Haiyanarchaeum thermophilum” “Jingweiarchaeum tengchongense” “Parvarchaeum tengchongense” “Haiyanarchaeum” “Jingweiarchaeum” “Haiyanarchaeaceae” “Jingweiarchaeales” “Rehaiarchaeum”
Abstract
“ Candidatus Parvarchaeales” microbes may represent a lineage uniquely distributed in extreme environments such as AMD and hot springs. However, little is known about the strategies and processes of how they adapted to these extreme environments.

Hyperactive nanobacteria with host-dependent traits pervade Omnitrophota

Citation
Seymour et al. (2023). Nature Microbiology 8 (4)
Names
“Zapsychrus unditaenarius” Velaminicoccus archaeovorus Ts Velaminicoccus Multiplicimicrobium Fredricksoniimonas aquilentivivens Ts “Amyimicrobium” Omnitrophia Omnitrophales Omnitrophaceae Pluralincolimonas frigidipaludosa Ts “Fontincolimonas calida” “Profunditerraquicola sanfordiae” Fredricksoniimonas borealis Duberdicusella sinuisediminis Ts Phelpsiimicrobium noxiivivens Ts Velesiimonas alkalicola Ts Aquitaenariimonas noxiae Ts Aquincolibacterium aerophilum Ts Aquincolibacterium lacustre Multiplicimicrobium inquinatum Ts Pegaeibacterium caenilacustre Ts Danuiimicrobium aquiferis Ts Taenariivivens baikalensis Ts Aquivivens invisus Ts Abzuiibacterium crystallinum Ts Makaraimicrobium Aquincolibacterium Pegaeibacterium Aquivivens Duberdicusellaceae Pluralincolimonadaceae Taenariiviventaceae Aquincolibacteriaceae Aquiviventaceae Duberdicusellales Ghiorseimicrobiales Aquitaenariimonadales Velesiimonadales Aquiviventales Undivivens Taenaricolales Undivivens industriae Ts Sherwoodlollariibacterium unditelluris Ts Sherwoodlollariibacterium “Fontincolimonas” Aquitaenariimonadaceae “Profunditerraquicola” “Profunditerraquicolaceae” “Amyimicrobium silvilacustre” Ghiorseimicrobiaceae Ghiorseimicrobium Ghiorseimicrobium undicola Ts Fredricksoniimonadaceae Fredricksoniimonas Phelpsiimicrobium Pluralincolimonadales Duberdicusella Velesiimonadaceae Velesiimonas Taenaricolaceae Taenaricola Taenaricola geysiri Ts Pluralincolimonas Aquitaenariimonas Makaraimicrobium thalassicum Ts Taenariivivens Danuiimicrobiaceae Danuiimicrobium Aquiviventia Abzuiibacterium Abzuiibacteriaceae Omnitrophus Omnitrophus fodinae Ts Omnitrophota
Abstract
AbstractCandidate bacterial phylum Omnitrophota has not been isolated and is poorly understood. We analysed 72 newly sequenced and 349 existing Omnitrophota genomes representing 6 classes and 276 species, along with Earth Microbiome Project data to evaluate habitat, metabolic traits and lifestyles. We applied fluorescence-activated cell sorting and differential size filtration, and showed that most Omnitrophota are ultra-small (~0.2 μm) cells that are found in water, sediments and soils. Omnitro

Metagenomic discovery ofCandidatusParvarchaeales related lineages sheds light on the adaptation and diversification from neutral-thermal to acidic-mesothermal environments

Citation
Rao et al. (2022).
Names
“Haiyanarchaeum” “Jingweiarchaeales” “Jingweiarchaeum” “Parvarchaeales” “Rehaiarchaeum” “Jingweiarchaeum tengchongense” “Haiyanarchaeum thermophilum” “Rehaiarchaeum fermentans” “Parvarchaeum tengchongense” “Haiyanarchaeaceae” “Jingweiarchaeaceae”
Abstract
AbstractCandidatusParvarchaeales, representing a DPANN archaeal group with limited metabolic potentials and reliance on hosts for their growth, were initially found in acid mine drainage (AMD). Due to the lack of representatives, however, their ecological roles and adaptation to extreme habitats such as AMD, as well as how they diverge across the lineage remain largely unexplored. By applying genome-resolved metagenomics, 28Parvarchaeales-associated metagenome-assembled genomes (MAGs) representi