bioRxiv Science⌕ Search

Biology subjects

Kiefl, E.

Publications and source records attributed to Kiefl, E..

5 recordsLinked to original sources

A high-resolution diel survey of surface ocean metagenomes, metatranscriptomes, and transfer RNA transcripts

The roles of marine microbes in ecosystem processes are inherently linked to their ability to sense, respond, and ultimately adapt to environmental change. Capturing the nuances of this perpetual dialogue and its long-term implications requires insight into the subtle drivers of microbial responses to environmental change that are most accessible at the shortest scales of time. Here, we present a multi-omics dataset comprising surface ocean metagenomes, metatranscriptomes, tRNA transcripts, and biogeochemical measurements, collected every 1.5 hours for 48 hours at two stations within coastal and adjacent offshore waters of the tropical Pacific Ocean. We expect that this integrated dataset of multiple sequence types and environmental parameters will facilitate novel insights into microbial ecology, microbial physiology, and ocean biogeochemistry and help investigate the different mechanisms of adaptation that drive microbial responses to environmental change.

microbiology↗

A highly conserved and globally prevalent cryptic plasmid is among the most numerous mobile genetic elements in the human gut

Plasmids are extrachromosomal genetic elements that often encode fitness enhancing features. However, many bacteria carry cryptic plasmids that do not confer clear beneficial functions. We identified one such cryptic plasmid, pBI143, which is ubiquitous across industrialized gut microbiomes, and is 14 times as numerous as crAssphage, currently established as the most abundant genetic element in the human gut. The majority of mutations in pBI143 accumulate in specific positions across thousands of metagenomes, indicating strong purifying selection. pBI143 is monoclonal in most individuals, likely due to the priority effect of the version first acquired, often from ones mother. pBI143 can transfer between Bacteroidales and although it does not appear to impact bacterial host fitness in vivo, can transiently acquire additional genetic content. We identified important practical applications of pBI143, including its use in identifying human fecal contamination and its potential as an inexpensive alternative for detecting human colonic inflammatory states.

microbiology↗

Structure-informed microbial population genetics elucidate selective pressures that shape protein evolution

Comprehensive sampling of natural genetic diversity with metagenomics enables highly resolved insights into the interplay between ecology and evolution. However, intra-population genomic variation represents the outcome of both stochastic and selective forces, making it difficult to identify whether variants are maintained by adaptive, neutral, or purifying processes. This is partly due to the reliance on gene sequences to interpret variants, which disregards the physical properties of three-dimensional gene products that define the functional landscape on which selection acts. Here we describe an approach to analyze genetic variation in the context of predicted protein structures, and apply it to study a marine microbial population within the SAR11 subclade 1a.3.V, which dominates low-latitude surface oceans. Our analyses reveal a tight association between the patterns of nonsynonymous polymorphism, selective pressures, and structural properties of proteins such as per-site relative solvent accessibility and distance to ligands, which explain up to 59% of genetic variance in some genes. In glutamine synthetase, a central gene in nitrogen metabolism, we observe decreased occurrence of nonsynonymous variants from ligand binding sites as a function of nitrate concentrations in the environment, revealing genetic targets of distinct evolutionary pressures maintained by nutrient availability. Our data also reveals that rare codons are purified from ligand binding sites when genes are under high selection, demonstrating the utility of structure-aware analyses to study the variants that likely impact translational processes. Overall, our work yields insights into the governing principles of evolution that shape the genetic diversity landscape within a globally abundant population, and makes available a software framework for structure-aware investigations of microbial population genetics. SignificanceIncreasing availability of metagenomes offers new opportunities to study evolution, but the equal treatment of all variants limits insights into drivers of sequence diversity. By capitalizing on recent advances in protein structure prediction capabilities, our study examines subtle evolutionary dynamics of a microbial population that dominates surface oceans through the lens of structural biology. We demonstrate the utility of structure-informed metrics to understand the distribution of nonsynonymous polymorphism, establish insights into the impact of changing nutrient availability on protein evolution, and show that even synonymous variants are scrutinized strictly to maximize translational efficiency when selection is high. Overall, our work illustrates new opportunities for discovery at the intersection between metagenomics and structural bioinformatics, and offers an interactive and scalable software platform to visualize and analyze genetic variants in the context of predicted protein structures and ligand-binding sites.

microbiology↗

Early-life microbial intervention reduces colitis risk promoted by antibiotic-induced gut dysbiosis

Perturbations in the early life gut microbiome are associated with increased risk to complex immune disorder like inflammatory bowel diseases. We previously showed maternal antibiotic-induced gut dysbiosis vertically passed to offspring increases experimental colitis risk in IL-10 gene deficient (IL-10-/-) mice. While this could arise from emergence of pathobionts or loss/lack of essential microbes needed for appropriate immunological education, our findings suggest the latter. A dominant Bacteroides strain absent following antibiotic-induced perturbation was cultivated from murine fecal samples. Addition of this strain into mice with antibiotic-induced dysbiosis significantly promoted immune tolerance and reduced incidence of colitis in IL-10-/- mice, but only if engrafted early in life, and not during adulthood. Thus, key members of the gut microbiome are essential for development of immune tolerance to commensal microbes in early life and their addition in presence of gut dysbiosis during this period can reduce colitis risk in genetically prone hosts. HighlightsO_LISpecific gut microbes promote early life immune tolerance to key commensal microbes C_LIO_LILoss of early life keystone microbes increases colitis risk in genetically prone hosts C_LIO_LIEmergence of absent commensal microbes late in life worsened colitis outcome C_LIO_LIEarly life exposure to a missing keystone Bacteroides strain reduced colitis risk C_LI

microbiology↗

The global biogeography of amino acid variants within a single SAR11 population is governed by natural selection

The diversity and geographical distribution of populations within major marine microbial lineages are largely governed by temperature and its co-variables. However, neither the mechanisms by which genomic heterogeneity emerges within a single population nor how it drives the partitioning of ecological niches are well understood. Here we took advantage of billions of metagenomic reads to study one of the most abundant and widespread microbial populations in the surface ocean. We characterized its substantial amount of genomic heterogeneity using single-amino acid variants (SAAVs), and identified systematic purifying selection and adaptive mechanisms governing non-synonymous variation within this population. Our Deep Learning analysis of SAAVs across metagenomes revealed two main ecological niches that reflect large-scale oceanic current temperatures, as well as six proteotypes demarcating finer-resolved niches. We identified significantly more protein variants in cold currents and an increased number of protein sweeps in warm currents, exposing a global pattern of alternating genomic diversity for this SAR11 population as it drifts along with surface ocean currents. Overall, the geographic partitioning of SAAVs suggests natural selection, rather than neutral evolution, is the main driver of the evolution of SAR11 in surface oceans.

microbiology↗