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Biology subjects

Graham, E. D.

Publications and source records attributed to Graham, E. D..

4 recordsLinked to original sources

Microbial population dynamics are dominated by stochastic forces in a low biomass subseafloor habitat

The subseafloor is a vast habitat that supports microorganisms that have a global scale impact on geochemical cycles. Many of the endemic microbial communities inhabiting the subseafloor consist of small populations under growth-limited conditions. For small populations, stochastic evolutionary events can have large impacts on intraspecific population dynamics and allele frequencies. These conditions are fundamentally different from those experienced by most microorganisms in surface environments, and it is unknown how small population sizes and growth-limiting conditions influence evolution and population structure in the subsurface. Using a two-year, high-resolution environmental time-series, we examine the dynamics of microbial populations from cold, oxic crustal fluids collected from the subseafloor site North Pond, located near the mid-Atlantic ridge. Our results reveal rapid shifts in overall abundance, allele frequency, and strain abundance across the time points observed, with evidence for homologous recombination between coexisting lineages. We show that the subseafloor aquifer is a dynamic habitat that hosts microbial metapopulations that disperse frequently through the crustal fluids, enabling gene flow and recombination between microbial populations. The dynamism and stochasticity of microbial population dynamics in North Pond suggests that these forces are important drivers in the evolution of microbial populations in the vast subseafloor habitat. Significance StatementThe cold, oxic subseafloor is an understudied habitat that is difficult to access, yet important to global biogeochemical cycles and starkly different compared to microbial habitats on the surface of the Earth. Our understanding of microbial evolution and population dynamics is largely molded by studies of microbes living in surface habitats that can host 10-1,000 times more microbial biomass than is frequently observed in the subsurface. This study provides an opportunity to observe population dynamics within a low biomass, growth-limited environment and reveals that microbial populations in the subseafloor are influenced by changes in selection pressure and gene sweeps. In addition, recombination between strains that have dispersed from elsewhere within the aquifer has an important impact on the evolution of microbial populations. Much of the microbial life on the planet exists under growth-limited conditions and the subseafloor provides a natural laboratory to explore how life evolves in such environments.

microbiology↗

Marine Dadabacteria exhibit genome streamlining and phototrophy-driven niche partitioning

The remineralization of organic material via heterotrophy in the marine environment is performed by a diverse and varied group of microorganisms that can specialize in the type of organic material degraded and the niche they occupy. The marine Dadabacteria are cosmopolitan in the marine environment and belong to a candidate phylum for which there has not been a comprehensive assessment of the available genomic data to date. Here in, we assess the functional potential of the oligotrophic, marine Dadabacteria in comparison to terrestrial, coastal, and subsurface members of the phylum. Our analysis reveals that the marine Dadabacteria have undergone a genome streamlining event, reducing their genome size and the nitrogen content of their DNA and predicted proteome, relative to their terrestrial counterparts. Collectively, the Dadabacteria have the potential to degrade microbial particulate organic matter, specifically peptidoglycan and phospholipids. The marine Dadabacteria belong to two clades with distinct ecological niches in global metagenomic data: a shallow clade with the potential for photoheterotrophy through the use of proteorhodopsin, present predominantly in surface waters up to 100m depth; and a deep clade lacking the potential for photoheterotrophy that is more abundant in the deep photic zone.

microbiology↗

MetaSanity: An integrated, customizable microbial genome evaluation and annotation pipeline

SummaryAs the importance of microbiome research continues to become more prevalent and essential to understanding a wide variety of ecosystems (e.g., marine, built, host-associated, etc.), there is a need for researchers to be able to perform highly reproducible and quality analysis of microbial genomes. MetaSanity incorporates analyses from eleven existing and widely used genome evaluation and annotation suites into a single, distributable workflow, thereby decreasing the workload of microbiologists by allowing for a flexible, expansive data analysis pipeline. MetaSanity has been designed to provide separate, reproducible workflows, that (1) can determine the overall quality of a microbial genome, while providing a putative phylogenetic assignment, and (2) can assign structural and functional gene annotations with varying degrees of specificity to suit the needs of the researcher. The software suite combines the results from several tools to provide broad insights into overall metabolic function and putative extracellular localization of peptidases and carbohydrate-active enzymes. Importantly, this software provides built-in optimization for \"big data\" analysis by storing all relevant outputs in an SQL database, allowing users to query all the results for the elements that will most impact their research.\n\nAvailability and implementationMetaSanity is provided under the GNU General Public License v.3.0 and is available for download at https://github.com/cjneely10/MetaSanity. This application is distributed as a Docker image. MetaSanity is implemented in Python3/Cython and C++.\n\nSupplementary informationSupplementary data are available below.

bioinformatics↗

The Reconstruction of 2,631 Draft Metagenome-Assembled Genomes from the Global Oceans

Microorganisms play a crucial role in mediating global biogeochemical cycles in the marine environment. By reconstructing the genomes of environmental organisms through metagenomics, researchers are able to study the metabolic potential of Bacteria and Archaea that are resistant to isolation in the laboratory. Utilizing the large metagenomic dataset generated from 234 samples collected during the Tara Oceans circumnavigation expedition, we were able to assemble 102 billion paired-end reads into 562 million contigs, which in turn were co-assembled and consolidated in to 7.2 million contigs [≥]2kb in length. Approximately 1 million of these contigs were binned to reconstruct draft genomes. In total, 2,631 draft genomes with an estimated completion of [≥]50% were generated (1,491 draft genomes >70% complete; 603 high-quality genomes >90% complete). A majority of the draft genomes were manually assigned phylogeny based on sets of concatenated phylogenetic marker genes and/or 16S rRNA gene sequences. The draft genomes are now publically available for the research community at-large.

microbiology↗