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Biology subjects

Haas, A. F.

Publications and source records attributed to Haas, A. F..

4 recordsLinked to original sources

Central carbon metabolism switching in lytic versus temperate coral reef viral communities

Coral reefs are declining globally due in part to bacterial overgrowth, a process known as microbialization. However, the role of bacteriophages that may inhibit microbialization by infecting and killing these bacteria remains poorly understood, especially their metabolic impacts on bacterial proliferation. To address this, we analyzed central carbon metabolism gene frequencies in viral communities from healthy (lytic-dominated) and degraded (temperate-dominated) Central Pacific coral reefs. We found that viral metabolism shifted broadly from being dominated by metabolism that builds up pools of central intermediates on degraded reefs dominated by temperate viral infection ("anaplerotic" reactions) to metabolism that consumes these pools to prioritize production of metabolic precursors for virion construction on healthy reefs dominated by lytic infection ("cataplerotic" reactions). This switch was shown by the over-representation of Entner-Doudoroff (ED) glycolysis genes on degraded, temperate-dominated reefs and of pentose phosphate pathway (PPP) and reductive tricarboxylic acid cycle (TCA) genes on healthy, lytic-dominated reefs. As a result of this metabolic dichotomy, our qualitative compartment modeling revealed two distinct ecosystem states: (i) healthy reefs, where lytic viral metabolism enhances viral production and suppresses bacterial overgrowth, and (ii) degraded reefs, where temperate viral metabolism accelerates bacterial proliferation. Because viral switching between lytic and temperate lifestyles is a known function of host physiological state, these findings position viral metabolism as both a driver of reef decline and a conservation lever, with metabolically mediated "re-viralization" offering a novel strategy to restore reef resilience.

ecology↗

Bacteriophage replication strategies are associated with organic matter energy content on coral reefs

Bacteriophages, viruses that infect bacteria, play a crucial role in carbon cycling within marine environments. In coral reefs, dissolved organic matter (DOM) released by benthic primary producers such as algae fuels heterotrophic microbial growth, which can be detrimental to corals. While this microbialization process has been associated with the abundance and replication strategies of bacteriophages, the direct relationship between reef DOM composition and bacteriophage communities remains unclear. Here, we combine metabolomics, metagenomes, and viromes to demonstrate that phage abundances have significant relationships with DOM composition on the reefs of Curacao, Southern Caribbean. By constructing co-occurrence networks between free or cell-associated viruses and exometabolites, we identified thousands of statistically significant associations between phages and organic compounds. While total viral abundances did not significantly correlate with overall dissolved organic carbon (DOC) concentration, cell-associated phages had significantly more positive associations with compounds that had a reduced nominal oxidative state of carbon (NOSC). Furthermore, temperate phages were more frequently correlated with metabolites exhibiting higher Gibbs energy than lytic phages. Six of the ten viruses with the highest number of positive associations with metabolites were temperate (i.e., encoded an integrase or were identified as a prophage), despite this network consisting of approximately 90% lytic viruses. These temperate viruses were predicted to infect members of the genus Sphingobium. Together, these findings reveal a connection between phage replication strategies and DOM energy availability with potential implications for coral reef biogeochemistry. SignificanceCoral reefs are highly dynamic ecosystems where microbial communities and organic matter cycles are intricately linked. This study provides new insights into how bacteriophages interact with dissolved organic matter (DOM) composition, revealing that cell-associated bacteriophages, particularly temperate phages, are associated with more energy-rich organic compounds. These findings suggest that DOM may have a bottom-up influence on the lysis-lysogeny decision of temperate phages infecting their host or that lysogeny may play an underappreciated role in shaping the reef carbon cycle. Energy-rich organic compounds have generally been associated with increased algal abundances and coral decline. By demonstrating significant connections between viral infection strategies and the energy content of DOM, our results highlight the potential for phages to influence coral reef biogeochemistry and health.

microbiology↗

Improving genome-scale metabolic models of incomplete genomes with deep learning

Deciphering the metabolism of microbial species is crucial for understanding their function within complex ecosystems. Genome-scale metabolic models (GSMMs), which predict metabolic traits based on the enzymes encoded in a genome, are promising tools to study microbial ecosystems when genome sequences can be obtained. However, constructing GSMMs for uncultured bacteria is challenging, as metagenome-assembled genomes are typically incomplete, leading to metabolic reconstructions with numerous gaps. Existing methodologies often fill these gaps with the minimum set of reactions necessary to simulate an objective function such as growth. Here we introduce an artificial intelligence-based alternative: the Deep Neural Network Guided Imputation Of Reactomes (DNNGIOR). The DNNGIOR neural network learns weights for missing reactions in incomplete GSMMs from patterns in the presence and absence of metabolic reactions in genomes spanning the bacterial domain. We identified two important factors contributing to prediction accuracy: (1) the frequency of reaction across all bacteria, and (2) the phylogenetic distance between the query and the genomes in the training dataset. Reactions that occur in > 30% of the training genomes can be accurately predicted (Mean F1 score = 0.85). The weights generated by the DNNGIOR network improved the gap-filling of incomplete GSMMs, when assessed on a large and phylogenetically diverse testing dataset and a small set of high-quality manually curated models. The accuracy of DNNGIOR was on average 14 times greater than the standard unweighted gap-filling for draft reconstructions, and 2-9 times greater for manually curated models. DNNGIOR models could also simulate experimentally measured carbon usage profiles with similar accuracy as CarveMe. DNNGIOR is available at https://github.com/MGXlab/DNNGIOR or as a pip package (https://pypi.org/project/dnngior/).

bioinformatics↗

Evidence for a biological source of widespread, reproducible nighttime oxygen spikes in tropical reef ecosystems has implications for coral health

Primary producers release oxygen as the by-product of photosynthetic light reactions during the day. However, a prevalent, globally-occurring nighttime spike in dissolved oxygen in the absence of light challenges the traditional assumption that biological oxygen production is limited to daylight hours, particularly in tropical coral reefs. Here we show: 1) the widespread nature of this phenomenon, 2) its reproducibility across tropical marine ecosystems, 3) the influence of biotic and abiotic factors on this phenomenon across numerous datasets, and 4) the observation of nighttime oxygen spikes in vitro from incubations of coral reef benthic organisms. The data from this study demonstrate that in addition to physical forcing, biological processes are likely responsible for increasing dissolved oxygen at night. Additionally, we demonstrate an association between these nighttime oxygen spikes and measures of both net community calcification and net community production. These results suggest that nighttime oxygen spikes are likely a biological response associated with increased respiration and are most prominent in communities dominated by calcifying organisms.

ecology↗