Liang Shen

Summary: Colored (red and green) snow is widespread in Antarctica due to climate warming. This phenomenon reduces snow albedo, accelerates snowmelt, alters microbial functions, and impacts regional geochemical cycles. Diverse microorganisms are associated with this phenomenon, yet their functions remain poorly understood. We employed metagenomic sequencing to reveal the metabolic interactions and functional specialization within microbial communities of colored snow, focusing on carbon, nitrogen, phosphorus, and sulfur metabolism. While broad metabolic profiles were similar between red and green snow, targeted analysis of specific pathways revealed significant enrichment of denitrification and organic‐phosphorus mineralization genes in green snow and labile carbon degradation genes in red snow. Betaproteobacteria were dominant drivers of nitrogen, sulfur, and phosphorus transformation, while diverse eukaryotic algae and bacteria were responsible for carbon fixation. Additionally, we recovered 2257 bacteriophages, 529 algal viruses, and 2302 secondary metabolite gene clusters. Specifically, viruses encoded 126 auxiliary metabolic genes that may influence the elemental cycling of hosts, while secondary metabolites, such as pyoverdine, may assist algal iron acquisition. Our findings offer new insights into the metabolic potentials and interactions of microbial communities in Antarctic colored snow, highlighting their potential relevance to snow biogeochemical processes.

Glaciers have been proposed as evolutionary hotspots for microbial evolution; however, direct evidence for glacial microbial population formation and genomic loci undergoing selective sweeps remains limited. To address this knowledge gap, we investigated the genomic diversity, evolutionary pressures, and adaptive strategies of Cryobacterium, a representative genus of glacier environments. Based on recent gene flow analysis, 18 distinct populations of Cryobacterium were identified, each exhibiting clear discontinuities in gene flow and genetic boundaries. Selective pressure analyses revealed purifying selection within populations, maintaining genetic stability, and positive selection between populations, suggesting adaptive divergence from environmental differences. Notably, half of the populations spanned geographically distant glaciers, suggesting widespread dispersal mechanisms such as atmospheric circulation or glacial fauna migrations. We identified 17 genes under strong selective sweeps, involved in metabolic enzymes, transporters, and gene regulation. Based on the reverse ecology principles, these genes (e.g., glucose-6-phosphate dehydrogenase assembly and RNA polymerase-binding gene), are likely to be critical for cold adaptation. This study provided clear genomic evidence of glacial microbial population formation driven by recent gene flow, significantly enhanced our understanding of microbial adaptation in extreme cold ecosystems, and emphasized the importance of deep genomic sequencing in ecological and evolutionary research.

Microbial thermal adaptation is commonly characterized using the minimum (Tmin), optimum (Topt), and maximum (Tmax) temperatures that define the thermal growth range of microorganisms; with Topt been frequently used to compare microbial thermal characteristics. Although previous studies have shown that Tmin and Topt reflect distinct aspects of microbial thermal physiology, the generality and quantitative limits of this relationship across microbial diversity have not been systematically evaluated. Here, we constructed a dataset of 14 023 microbial growth-temperature records to examine the relationships among Tmin, Topt, and Tmax. While Topt showed strong overall correlations with both Tmax (r = 0.910, R2 = 0.827, Padj < .05) and Tmin (r = 0.793, R2 = 0.628, Padj < .05), the strength of these relationships varied markedly across the temperature spectrum. Within the lower-temperature range, the association between Topt and Tmin became weak and statistically insignificant (r = 0.106, Padj = .200). Furthermore, within 10–30°C Topt range, microorganisms sharing similar Topt values frequently exhibited substantially different Tmin values, indicating considerable variation in their capacity for growth at low temperatures despite comparable Topt. These findings demonstrate that Topt and Tmin provide complementary rather than interchangeable information about microbial thermal characteristics, and Topt alone is insufficient to predict lower thermal growth limits. Our study provides the most comprehensive quantitative assessment to date of the relationship between microbial cardinal growth temperatures, defining the limitations of using Topt to predict lower thermal growth limits and highlighting the importance of explicitly reporting Tmin in ecological, evolutionary and taxonomic studies.

Halophilic microorganisms abound in numerous hypersaline environments, such as salt lakes, salt mines, solar salterns, and salted seafood. In the northwest of Dingbian county (Shaanxi province, China), there exists a belt of hypersaline habitats extending from the west to the north consisting of saline-alkali soil and salt lakes. Theoretically, such a hypersaline environment has a high probability of containing abundant halophilic archaea communities. Nevertheless, there is nearly no systematic research on halophilic archaea in this area. Here, we employed a combination of culture-dependent and culture-independent methods to analyze the collected samples. The high-throughput sequencing results of the archaeal 16S rRNA gene indicated that the richness of halophilic archaea in saline-alkali soils was significantly higher than that in salt lakes. In saline-alkali soils, the Natronomonas genus of archaea was more predominant compared to other genera, while in salt lakes, the Halonotius, Halorubrum, and Haloarcula genera of archaea had relatively higher abundances. However, the dominant families of halophilic archaea in both environments were mainly Haloferacaceae (30.96-72%), Halomicrobiaceae (17-53.19%) and Nanosalinaceae (1-19.08%). Based on the outcomes of pure culture experiments, a total of 26 genera and 98 strains were identified. Among the identified halophilic microorganisms, the predominant species were Halorubrum and Fodinibius, accounting for 33.67% and 13.27%, respectively. The remainder were mostly low-abundance groups within the community, and 22 potential novel taxa were discovered. Additionally, metagenomic technology was employed in our research. The analysis results demonstrated that the microorganisms in this area possess metabolic pathways capable of degrading various pollutants such as atrazine, methane, and dioxins, suggesting that some microorganisms in this area play a positive role in environmental remediation. This study roughly reveals the diversity composition and dominant species of halophilic archaea in these hypersaline environments and provides a scientific basis for the possible ecological functions of microorganisms in this area during long-term survival. It also offers scientific evidence for the development and utilization of halophilic microbial resources and ecological protection.

During acute or chronic uremia, the cumulative harmful effects of uremic toxins result in numerous health problems and, ultimately, mortality. Previous research has identified that uremic retention solutes originate from the gut microbiome, indicating that uremia may be closely associated with gut microbiome dysbiosis. To deepen our understanding of the compositional characteristics of the gut microbiome in patients with uremia and thereby promote precision medicine in the treatment of uremia, we conducted a study of the compositional characteristics of the gut microbiome in 20 patients with uremia. The gut microbiome diversity of uremic patients and the control group showed certain differences. Nonmetric multidimensional scaling analysis showed that the beta diversity of the gut microbiome of uremic patients was significantly different from that of the healthy control individuals, with a distinct clustering effect in the uremic patient group, and it also showed a similarly distinct clustering effect in the healthy control group. The Chao1 index and Sobs index were significantly lower in the uremic patient group than in the healthy control group (P < 0.05). By analyzing the composition and abundance distribution of the gut microbiome in the uremic patient group and healthy control group, we found that the relative abundance of the gut microbiome constituents Fusobacteriota, Enterobacteriaceae, Oscillospirales, Ruminococcaceae, and Lachnospiraceae was significantly increased in the intestines of uremic patients. We also detected the rare taxa Erysipelotrichaceae, which was present only in the uremic patient group. Predictive functional analysis suggested that an increased abundance of Ruminococcaceae and Lachnospirales, which are associated with indoxyl sulfate and phenylacetyl glutamine, and an increased abundance of Oscillospirales, which is associated with pyruvate metabolism, in uremic patients may strongly influence the gut environment according to renal function, resulting in dysbiosis associated with uremic toxin production. Rare taxa such as Erysipelotrichaceae have been suggested to be detrimental to intestinal disease. Further research into these gut microbiomes may provide new ideas for the prevention and treatment of uremia with the gut microbiome.

Background: Microbes in the cold polar and alpine environments play a critical role in feedbacks that amplify the effects of climate change. Defining the cold adapted ecotype is one of the prerequisites for understanding the response of polar and alpine microbes to climate change. Results: Here, we analysed 85 high-quality, de-duplicated genomes of Deinococcus, which can survive in a variety of harsh environments. By leveraging genomic and phenotypic traits with reverse ecology, we defined a cold adapted clade from eight Deinococcus strains isolated from Arctic, Antarctic and high alpine environments. Genome-wide optimization in amino acid composition and regulation and signalling enable the cold adapted clade to produce CO₂ from organic matter and boost the bioavailability of mineral nitrogen. Conclusions: Based primarily on in silico genomic analysis, we defined a potential cold adapted clade in Deinococcus and provided an updated view of the genomic traits and metabolic potential of Deinococcus. Our study would facilitate the understanding of microbial processes in the cold polar and alpine environments.

Delineating cohesive ecological units and determining the genetic basis for their environmental adaptation are among the most important objectives in microbiology. In the last decade, many studies have been devoted to characterizing the genetic diversity in microbial populations to address these issues. However, the impact of extreme environmental conditions, such as temperature and salinity, on microbial ecology and evolution remains unclear so far. In order to better understand the mechanisms of adaptation, we studied the (pan)genome of Exiguobacterium, a poly-extremophile bacterium able to grow in a wide range of environments, from permafrost to hot springs. To have the genome for all known Exiguobacterium type strains, we first sequenced those that were not yet available. Using a reverse-ecology approach, we showed how the integration of phylogenomic information, genomic features, gene and pathway enrichment data, regulatory element analyses, protein amino acid composition and protein structure analyses of the entire Exiguobacterium pangenome allows to sharply delineate ecological units consisting of mesophilic, psychrophilic, halophilic-mesophilic, and halophilic-thermophilic ecotypes. This in-depth study clarified the genetic basis of the defined ecotypes and identified some key mechanisms driving the environmental adaptation to extreme environments. Our study points the way to organizing the vast microbial diversity into meaningful ecologically units, which in turn provides insight into how microbial communities adapt and respond to different environmental conditions in a changing world.

Cold-adapted archaea have diverse ecological roles in a wide range of low-temperature environments. Improving our knowledge of the genomic features that enable psychrophiles to grow in cold environments helps us to understand their adaptive responses. However, samples from typical cold regions such as the remote Arctic and Antarctic are rare, and the limited number of high-quality genomes available leaves us with little data on genomic traits that are statistically associated with cold environmental conditions. In this study, we examined the haloarchaeal genus Halorubrum and defined a new clade that represents six isolates from polar and deep earth environments (‘PD group’ hereafter). The genomic G + C content and amino acid composition of this group distinguishes it from other Halorubrum and the trends are consistent with the established genomic optimization of psychrophiles. The cold adaptation of the PD group was further supported by observations of increased flexibility of proteins encoded across the genome and the findings of a growth test. The PD group Halorubrum exhibited denser genome packing, which confers higher metabolic potential with constant genome size, relative to the reference group, resulting in significant differences in carbon, nitrogen and sulfur metabolic patterns. The most marked feature was the enrichment of genes involved in sulfur cycling, especially the production of sulfite from organic sulfur-containing compounds. Our study provides an updated view of the genomic traits and metabolic potential of Halorubrum and expands the range of sources of cold-adapted haloarchaea.

Meningitis-like infectious disease (MID) (also known as frog cataract and torticollis) is a disease prone to occur in amphibians and reptiles. It is highly contagious and has a high mortality rate. In this study, we sampled and sequenced microbiomes from oral and intestinal samples of five normal and five diseased bullfrogs. The analysis found that the richness, uniformity, and abundance of the microbial community of the diseased bullfrogs were significantly higher than those of the normal bullfrogs in both the oral cavity and the gut. In the diseased group, the abundance of Elizabethkingia significantly increased and that of Lactococcus significantly decreased. It showed that the structure of the microbial community had changed a lot in diseased frogs. After the pathogenic bacteria infected the body, it might be make the decline in the immune function of the body declined, and resulting in some conditional pathogenic bacteria in the water body further infecting the body. As a result, the richness and composition of the microbial community significantly changed. This study can provide a theoretical basis for the control of MID of bullfrogs.

Background: Microorganisms drive critical global biogeochemical cycles and dominate the biomass in Earth’s expansive cold biosphere. Determining the genomic traits that enable psychrophiles to grow in cold environments informs about their physiology and adaptive responses. However, defining important genomic traits of psychrophiles has proven difficult, with the ability to extrapolate genomic knowledge to environmental relevance proving even more difficult.Results: Here we examined the bacterial genus Arthrobacter, and assisted by genome sequences of new Tibetan Plateau isolates, defined a clade, Group C, that represents isolates from polar and alpine environments. Group C had a superior ability to grow at -1ºC, and possessed genome G+C content, amino acid composition, predicted protein stability and functional capacities (e.g., sulfur metabolism and mycothiol biosynthesis) that distinguished it from non-polar or alpine Group A- Arthrobacter. Interrogation of more than 1,000 metagenomes identified an over-representation of Group C in Canadian permafrost communities from a simulated spring-thaw experiment, indicative of niche adaptation, and an under-representation of Group A in all polar and alpine samples, indicative of a general response to environmental temperature.Conclusion: The findings illustrate a capacity to define genomic markers of specific taxa that potentially have value for environmental monitoring of cold environments, including environmental change arising from anthropogenic impact. More broadly, the study illustrates the challenges involved in extrapolating from genomic and physiological data to an environmental setting.