Search

Host-adapted microorganisms are generally assumed to have evolved from free-living, environmental microorganisms, as examples of the reverse process are rare. In the phylum Gammaproteobacteria, family Moraxellaceae, the genus Psychrobacter includes strains from a broad ecological distribution including animal bodies as well as sea ice and other nonhost environments. To elucidate the relationship between these ecological niches and Psychrobacter’s evolutionary history, we performed tandem genomic analyses with phenotyping of 85 Psychrobacter accessions. Phylogenomic analysis of the family Moraxellaceae reveals that basal members of the Psychrobacter clade are Moraxella spp., a group of often-pathogenic organisms. Psychrobacter exhibited two broad growth patterns in our phenotypic screen: one group that we called the “flexible ecotype” (FE) had the ability to grow between 4 and 37°C, and the other, which we called the “restricted ecotype” (RE), could grow between 4 and 25°C. The FE group includes phylogenetically basal strains, and FE strains exhibit increased transposon copy numbers, smaller genomes, and a higher likelihood to be bile salt resistant. The RE group contains only phylogenetically derived strains and has increased proportions of lipid metabolism and biofilm formation genes, functions that are adaptive to cold stress. In a 16S rRNA gene survey of polar bear fecal samples, we detect both FE and RE strains, but in in vivo colonizations of gnotobiotic mice, only FE strains persist. Our results indicate the ability to grow at 37°C, seemingly necessary for mammalian gut colonization, is an ancestral trait for Psychrobacter, which likely evolved from a pathobiont. IMPORTANCE Host-associated microbes are generally assumed to have evolved from free-living ones. The evolutionary transition of microbes in the opposite direction, from host associated toward free living, has been predicted based on phylogenetic data but not studied in depth. Here, we provide evidence that the genus Psychrobacter, particularly well known for inhabiting low-temperature, high-salt environments such as sea ice, permafrost soils, and frozen foodstuffs, has evolved from a mammalian-associated ancestor. We show that some Psychrobacter strains retain seemingly ancestral genomic and phenotypic traits that correspond with host association while others have diverged to psychrotrophic or psychrophilic lifestyles.

Host-adapted microbiota are generally thought to have evolved from free-living ancestors. This process is in principle reversible, but examples are few. The genus Psychrobacter (family Moraxellaceae, phylum Gamma-Proteobacteria) includes species inhabiting diverse and mostly polar environments, such as sea ice and marine animals. To probe Psychrobacter’s evolutionary history, we analyzed 85 Psychrobacter strains by comparative genomics and phenotyping under 24 different growth conditions. Genome-based phylogeny shows Psychrobacter are derived from Moraxella, which are warm-adapted pathobionts. Psychrobacter strains form two ecotypes based on growth temperature: flexible (FE, growth at 4 - 37°C), and restricted (RE, 4 - 25°C). FE strains, which can be either phylogenetically basal or derived, have smaller genomes and higher transposon copy numbers. RE strains have larger genomes, and show genomic adaptations towards a psychrophilic lifestyle and are phylogenetically derived only. We then assessed Psychrobacter abundance in 86 mostly wild polar bear stools and tested persistence of select strains in germfree mice. Psychrobacter (both FE and RE) was enriched in stool of polar bears feeding on mammals, but only FE strains persisted in germfree mice. Together these results indicate growth at 37°C is ancestral in Psychrobacter, lost in many derived species, and likely necessary to colonize the mammalian gut.

Across human populations, 16S rRNA gene-based surveys of gut microbiomes have revealed that the bacterial familyChristensenellaceae and the archaeal familyMethanobacteriaceaeco-occur and are enriched in individuals with a lean, compared to an obese, BMI. Whether these association patterns reflect interactions between metabolic partners remains to be ascertained, as well as whether these associations play a role in the lean host phenotype with which they associate. Here, we validated previously reported co-occurrence patterns of the two families, and their association with a lean BMI, with a meta-analysis of 1,821 metagenomes derived from 10 independent studies. Furthermore, we report positive associations at the genus and species level betweenChristensenellaspp. andMethanobrevibacter smithii,the most abundant methanogen of the human gut. By co-culturing threeChristensenellaspp. WithM. smithii,we show thatChristensenellaspp. efficiently support the ofM. smithiivia H2production, far better thanBacteroides thetaiotaomicron.C. minutaforms flocs colonized byM. smithiieven when H2is in excess. In culture withC. minuta, H2consumption byM. smithiishifts the metabolic output ofC. minuta’s fermentation towards acetate rather than butyrate. Together, these results indicate that the widespread co-occurrence of these microbiota is underpinned by both physical and metabolic interactions. Their combined metabolic activity may provide insights into their association with a lean host BMI.ImportanceThe human gut microbiome is made of trillions of microbial cells, most of which areBacteria, with a subset ofArchaea. The bacterial familyChristensenellaceaeand the archaeal familyMethanobacteriaceaeare widespread in human guts. They correlate with each other and with a lean body type. Whether species of these two families interact, and how they affect the body type, are unanswered questions. Here, we showed that species within these families correlate with each other across people. We also demonstrated that particular species of these two families grow together in dense flocs, wherein the bacteria provide hydrogen gas to the archaea, which then make methane. When the archaea are present, the ratio of bacterial products (which are nutrients for humans) is changed. These observations indicate when these species grow together, their products have the potential to affect the physiology of their human host.

Diverse microbial ecosystems underpin life in the sea. Among these microbes are many unicellular eukaryotes that span the diversity of the eukaryotic tree of life. However, genetic tractability has been limited to a few species, which do not represent eukaryotic diversity or environmentally relevant taxa. Here, we report on the development of genetic tools in a range of protists primarily from marine environments. We present evidence for foreign DNA delivery and expression in 13 species never before transformed and for advancement of tools for eight other species, as well as potential reasons for why transformation of yet another 17 species tested was not achieved. Our resource in genetic manipulation will provide insights into the ancestral eukaryotic lifeforms, general eukaryote cell biology, protein diversification and the evolution of cellular pathways., This collaborative effort was supported by the Gordon and Betty Moore Foundation EMS Program of the Marine Microbiology Initiative (grant nos. GBMF4972 and 4972.01 to F.-Y.B.; GBMF4970 and 4970.01 to M.A. and A.Z.W.; GBMF3788 to A.Z.W.; GBMF 4968 and 4968.01 to H.C.; GBMF4984 to V.H.; GBMF4974 and 4974.01 to C. Brownlee; GBMF4964 to Y. Hirakawa; GBMF4961 to T. Mock; GBMF4958 to P.S.; GBMF4957 to A.T.; GBMF4960 to G.J.S.; GBMF4979 to K.C.; GBMF4982 and 4982.01 to J.L.C.; GBMF4964 to P.J.K.; GBMF4981 to P.v.D.; GBMF5006 to A.E.A.; GBMF4986 to C.M.; GBMF4962 to J.A.F.R.; GBMF4980 and 4980.01 to S.L.; GBMF 4977 and 4977.01 to R.F.W.; GBMF4962.01 to C.H.S.; GBMF4985 to J.M.; GBMF4976 and 4976.01 to C.H.; GBMF4963 and 4963.01 to V.E.; GBMF5007 to C.L.D.; GBMF4983 and 4983.01 to J.L.; GBMF4975 and 4975.01 to A.D.T.; GBMF4973 and 4973.01 to I.R.-T. and GBMF4965 to N.K.), by The Leverhulme Trust (RPG-2017-364) to T. Mock and A. Hopes, and by ERD funds (16_019/0000759) from the Czech Ministry of Education to J.L.

Author(s): Faktorova, Drahomira; Nisbet, R Ellen R; Fernandez Robledo, Jose A; Casacuberta, Elena; Sudek, Lisa; Allen, Andrew E; Ares, Manuel; Areste, Cristina; Balestreri, Cecilia; Barbrook, Adrian C; Beardslee, Patrick; Bender, Sara; Booth, David S; Bouget, Francois-Yves; Bowler, Chris; Breglia, Susana A; Brownlee, Colin; Burger, Gertraud; Cerutti, Heriberto; Cesaroni, Rachele; Chiurillo, Miguel A; Clemente, Thomas; Coles, Duncan B; Collier, Jackie L; Cooney, Elizabeth C; Coyne, Kathryn; Docampo, Roberto; Dupont, Christopher L; Edgcomb, Virginia; Einarsson, Elin; Elustondo, Pia A; Federici, Fernan; Freire-Beneitez, Veronica; Freyria, Nastasia J; Fukuda, Kodai; Garcia, Paulo A; Girguis, Peter R; Gomaa, Fatma; Gornik, Sebastian G; Guo, Jian; Hampl, Vladimir; Hanawa, Yutaka; Haro-Contreras, Esteban R; Hehenberger, Elisabeth; Highfield, Andrea; Hirakawa, Yoshihisa; Hopes, Amanda; Howe, Christopher J; Hu, Ian; Ibanez, Jorge; Irwin, Nicholas AT; Ishii, Yuu; Janowicz, Natalia Ewa; Jones, Adam C; Kachale, Ambar; Fujimura-Kamada, Konomi; Kaur, Binnypreet; Kaye, Jonathan Z; Kazana, Eleanna; Keeling, Patrick J; King, Nicole; Klobutcher, Lawrence A; Lander, Noelia; Lassadi, Imen; Li, Zhuhong; Lin, Senjie; Lozano, Jean-Claude; Luan, Fulei; Maruyama, Shinichiro; Matute, Tamara; Miceli, Cristina; Minagawa, Jun; Moosburner, Mark; Najle, Sebastian R; Nanjappa, Deepak; Nimmo, Isabel C; Noble, Luke; Novak Vanclova, Anna MG; Nowacki, Mariusz; Nunez, Isaac; Pain, Arnab; Piersanti, Angela; Pucciarelli, Sandra; Pyrih, Jan; Rest, Joshua S | Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Host genetic variation influences microbiome composition. While studies have focused on associations between the gut microbiome and specific alleles, gene copy number (CN) also varies. We relate microbiome diversity to CN variation of the AMY1 locus, which encodes salivary amylase, facilitating starch digestion. After imputing AMY1-CN for ∼1,000 subjects, we identified taxa differentiating fecal microbiomes of high and low AMY1-CN hosts. In a month-long diet intervention study, we show that diet standardization drove gut microbiome convergence, and AMY1-CN correlated with oral and gut microbiome composition and function. The microbiomes of low-AMY1-CN subjects had enhanced capacity to break down complex carbohydrates. High-AMY1-CN subjects had higher levels of salivary Porphyromonas; their gut microbiota had increased abundance of resistant starch-degrading microbes, produced higher levels of short-chain fatty acids, and drove higher adiposity when transferred to germ-free mice. This study establishes AMY1-CN as a genetic factor associated with microbiome composition and function.

SummaryHost genetic variation influences the composition of the human microbiome. While studies have focused on associations between the microbiome and single nucleotide polymorphisms in genes, their copy number (CN) can also vary. Here, in a study of human subjects including a 2-week standard diet, we relate oral and gut microbiome to CN at theAMY1locus, which encodes the gene for salivary amylase, active in starch degradation. We show that although diet standardization drove gut microbiome convergence,AMY1-CN influenced oral and gut microbiome composition and function. The gut microbiomes of low-AMY1-CN subjects had an enhanced capacity for breakdown of complex carbohydrates. Those of high-AMY1subjects were enriched in microbiota linked to resistant starch fermentation, had higher fecal SCFAs, and drove higher adiposity when transferred to germfree mice. Gut microbiota results were validated in a larger separate population. This study establishesAMY1-CN as a genetic factor patterning microbiome composition and function.

This protocol has been optimized for electroporation of natural communities in coastal surface waters. As natural communities may vary in different places, we recommend to use this protocol as a starting point and re-optimize according to the results. Guidelines are provided.

This protocol has been optimized for electroporation of natural communities in coastal surface waters. As natural communities may vary in different places we recomend to use this protocol as a starting point and re-optimize according to the results. Guidelines are provided.