Biology subjects

Cordero, O. X.

Publications and source records attributed to Cordero, O. X..

33 records · Page 2Linked to original sources

bioRxiv2021

Ecological stochasticity and phage induction diversify bacterioplankton communities at the microscale

In many natural environments, microorganisms self-assemble around heterogeneously distributed resource patches. The growth and collapse of populations on resource patches can unfold within spatial ranges of a few hundred micrometers or less, making such microscale ecosystems hotspots of biological interactions and nutrient fluxes. Despite the potential importance of patch-level dynamics for the large-scale evolution and function of microbial communities, we have not yet been able to delineate the ecological processes that control natural populations at the microscale. Here, we addressed this challenge in the context of microbially-mediated degradation of particulate organic matter by characterizing the natural marine communities that assembled on over one thousand individual microscale chitin particles. Through shotgun metagenomics, we found significant variation in microscale community composition despite the similarity in initial species pools across replicates. Strikingly, a subset of particles was highly populated by rare chitin-degrading strains; we hypothesized that their conditional success reflected the impact of stochastic colonization and growth on community assembly. In contrast to the conserved functional structures that emerge in ecosystems at larger scales, this taxonomic variability translated to a wide range of predicted chitinolytic abilities and growth returns at the level of individual particles. We found that predation by temperate bacteriophages, especially of degrader strains, was a significant contributor to the variability in the bacterial compositions and yields observed across communities. Our study suggests that initial stochasticity in assembly states at the microscale, amplified through biotic interactions, may have significant consequences for the diversity and functionality of microbial communities at larger scales. Significance StatementThe biogeochemical consequences of the degradation of particulate organic matter by microorganisms represent the cumulative effect of microbial activity on individual microscale resource patches. The ecological processes controlling community dynamics in these highly localized microenvironments remain poorly understood. Here, we find that complex marine communities growing on microscale resource particles diverge both taxonomically and functionally despite assembling under identical abiotic conditions from a common species pool. We show that this variability stems from bacteriophage predation and history-dependent factors in community assembly, which create stochastic dynamics that are spatially structured at the microscale. This microscale stochasticity may have significant consequences for the coexistence, evolution, and function of diverse bacterial and viral populations in the global ocean.

microbiology↗

bioRxiv2021

Particle foraging strategies promote microbial diversity in marine environments

Microbial foraging in patchy environments, where resources are fragmented into particles or pockets embedded in a large matrix, plays a key role in natural environments. In the oceans and freshwater systems, particle-associated bacteria can interact with particle surfaces in different ways: some colonize only during short transients, while others form long-lived, stable colonies. We do not yet understand the ecological mechanisms by which both short-term and long-term colonizers can coexist. Here, we address this problem with a mathematical model that explains how marine populations with different detachment rates from particles can stably coexist. In our model, populations grow only while on particles, but also face the increased risk of mortality by predation and sinking. Key to coexistence is the idea that detachment from particles modulates both net growth and mortality, but in opposite directions, creating a trade-off between them. While slow-detaching populations show the highest growth return (i.e., produce more net offspring), they are more susceptible to suffer higher rates of mortality than fast-detaching populations. Surprisingly, fluctuating environments, manifesting as blooms of particles (favoring growth) and predators (favoring mortality) significantly expand the likelihood that populations with different detachment rates can coexist. Our study shows how the spatial ecology of microbes in the ocean can lead to a predictable diversification of foraging strategies and the coexistence of multiple taxa on a single growth-limiting resource.

ecology↗

bioRxiv2021

Stress-induced cross-feeding of internal metabolites provides a dynamic mechanism of microbial cooperation

Metabolic cross-feeding plays vital roles in promoting ecological diversity. While some microbes depend on exchanges of essential nutrients for growth, forces driving the extensive cross-feeding needed to support the coexistence of free-living microbes are poorly understood. Here we characterize bacterial physiology under self-acidification, and establish that extensive excretion of key metabolites following acidification provides a collaborative, inter-species mechanism of stress resistance. This collaboration occurs not only between species isolated from the same community, but also between unrelated species with complementary (glycolytic vs. gluconeogenic) modes of metabolism. Cultures of such communities cycle through different phases in growth-dilution experiments, comprising of exponential growth, growth arrest upon acidification, collaborative stress relief, and growth recovery, with each phase involving distinct physiological states of individual species. Our findings challenge the static view of ecosystems commonly portrayed in ecological models, and offer an alternative dynamical view based on growth advantages of different species in different phases.

microbiology↗

bioRxiv2021

Hierarchical control of microbial community assembly

Metabolic processes that fuel the growth of heterotrophic microbial communities are initiated by specialized biopolymer degraders that decompose complex forms of organic matter. It is unclear, however, to what extent degraders control the downstream assembly of the community that follows polymer breakdown. Investigating a model marine microbial community that degrades chitin, we show that chitinases secreted by different degraders produce oligomers of specific chain lengths that not only select for specialized consumers but also influence the metabolites secreted by these consumers into a shared resource pool. Each species participating in the breakdown cascade exhibits unique hierarchical preferences for substrates, which underlies the sequential colonization of metabolically distinct groups as resource availability changes over time. By identifying the metabolic underpinnings of microbial community assembly, we reveal a hierarchical crossfeeding structure that allows biopolymer degraders to shape the dynamics of community assembly. One sentence summarySpecialized biopolymer degraders direct the trajectory of microbial community assembly through interconnected modes of nutrient crossfeeding.

microbiology↗

bioRxiv2021

Interactions between strains govern the eco-evolutionary dynamics of microbial communities

Genomic data has revealed that genotypic variants of the same species, i.e., strains, coexist and are abundant in natural microbial communities. However, it is not clear if strains are ecologically equivalent, or if they exhibit distinct interactions and dynamics. Here, we address this problem by tracking 10 microbial communities from the pitcher plant Sarracenia purpurea in the laboratory for more than 300 generations. Using metagenomic sequencing, we reconstruct their dynamics over time and across scales, from distant phyla to closely related genotypes. We find that interactions between naturally occurring strains govern eco-evolutionary dynamics. Surprisingly, even fine-scale variants differing only by 100 base pairs can exhibit vastly different dynamics. We show that these differences may stem from ecological interactions in the communities, which are specific to strains, not species. Finally, by analyzing genomic differences between strains, we identify major functional hubs such as transporters, regulators, and carbohydrate-catabolizing enzymes, which might be the basis for strain-specific interactions. Our work shows that strains are the relevant level of diversity at which to study the long-term dynamics of microbiomes.

microbiology↗

bioRxiv2020

Public good exploitation in natural bacterioplankton communities

Microorganisms such as bacteria often interact with their environment through extracellular molecules that increase access to limiting resources. These secretions can act as public goods, creating incentives for exploiters, a.k.a cheaters, to invade and steal public goods away from producers. This phenomenon has been studied extensively in microbiology due to its implications for the evolution of cooperation, but little is known about the occurrence and impact of public good exploiters in the environment. Here, we develop a new genomic approach to systematically identify bacteria that can exploit public goods produced during the degradation of polysaccharides. Focusing on chitin - the second most abundant biopolymer on the planet, we show that public good exploiters are active in natural marine microbial communities that assemble on chitin particles, invading during early stages of colonization and potentially hindering degradation. Unlike in classical studies of social evolution, exploiters and polysaccharide degraders are not isogenic and instead belong to distant lineages, facilitating their coexistence. Our approach opens novel avenues to use the wealth of genomic data available to infer ecological roles and interactions among microbes.

microbiology↗

bioRxiv2020

Evolutionary ecology of natural comammox Nitrospira populations

Microbes commonly exists in diverse and complex communities where species interact, and their genomic repertoires evolve over time. Our understanding of species interactions and evolution has increased in the last decades, but most studies of evolutionary dynamics are based on single species in isolation or in experimental systems composed of few interacting species. Here, we use the microbial ecosystem found in groundwater-fed sand filters as a model to avoid this limitation. In these open systems, diverse microbial communities experience relatively stable conditions, and the coupling between chemical and biological processes is generally well defined. Metagenomic analysis of 12 sand filters revealed systematic co-occurrence of at least five comammox Nitrospira species, likely promoted by low ammonium concentrations. These Nitrospira species showed intra-population sequence diversity, although possible clonal expansion was detected in few abundant local comammox populations. They showed low homologous recombination and strong purifying selection, the latter process being especially strong in genes essential in energy metabolism. Positive selection was detected on genes related to resistance to foreign DNA and phages. We found that, compared to other habitats, groundwater-fed sand filters impose strong purifying selection and low recombination on comammox Nitrospira populations. These results suggest that evolutionary processes are more affected by habitat type than by species identity. Together, this study improves our understanding of species interactions and evolution in complex microbial communities, and sheds light on the environmental dependency of evolutionary processes.

microbiology↗

bioRxiv2020

A fundamental structure-function mapping in the ocean microbiome

Recent work on microbial communities from various environments has shown that coexisting microorganisms with similar metabolic functions can be combined into high level "functional groups", which explain a larger proportion of variance in abiotic parameters than any individual taxon. However, the general rules by which taxa should be aggregated into functional groups remain elusive. Here, we show that two conditions are required for species-assemblages to explain a higher percentage of variance in abiotic factors than single taxa. 1) consistent taxa-environment correlations, and 2) weak or negative correlations (i.e. complementarity) between taxa. Applying this recipe to the ocean microbiome, we found that the best grouping of taxa is one that partitions it into only two groups, a core and a flexible assemblage. The core assemblage is enriched in Cyanobacteria and oligotrophic heterotrophs, and was strongly correlated to the first principal component of the taxa-sample matrix. The flexible assemblage instead was enriched in metabolically versatile copiotrophs, abundant at higher depths. This simple core / flexible bipartition explained the most variance in abiotic parameters and outperformed annotation-based functional groups as well as individual taxa. It therefore represents the simplest and best grouping of taxa that can be extracted from current ocean microbiome surveys.

ecology↗

bioRxiv2019

Context-dependent dynamics lead to the assembly of functionally distinct pitcher-plant microbiomes

Niche construction through interspecific interactions can condition future community states on past ones. However, the extent to which such history dependency can steer communities towards functionally different states remains a subject of active debate. Using bacterial communities collected from wild pitchers of the carnivorous pitcher plant, Sarracenia purpurea, we tested the effects of history on composition and function across communities assembled in synthetic pitcher plant microcosms. We found that the diversity of assembled communities was determined by the diversity of the system at early, pre-assembly stages. Species composition was also contingent on early community states, not only because of differences in the species pool, but also because the same species had different dynamics in different community contexts. Importantly, compositional differences were proportional to differences in function, as profiles of resource use were strongly correlated with composition, despite convergence in respiration rates. Early differences in community structure can thus propagate to mature communities, conditioning their functional repertoire.

ecology↗

bioRxiv2019

Illuminating microbial species-specific effects on organic matter remineralization in marine sediments

Marine microorganisms play a fundamental role in the global carbon cycle by mediating the sequestration of organic matter in ocean waters and sediments. A better understanding of how biological factors, such as microbial community composition, influence the lability and fate of organic matter is needed. Here, we explored the extent to which organic matter remineralization is influenced by species-specific metabolic capabilities. We carried out aerobic time-series incubations of Guaymas basin sediments to quantify the dynamics of carbon utilization by two different heterotrophic marine isolates. Continuous measurement of respiratory CO2 production and its carbon isotopic compositions (13C and 14C) shows species-specific differences in the rate, quantity, and type of organic matter remineralized. Each species was incubated with hydrothermally-influenced vs. unimpacted sediments, resulting in a ~3-fold difference in respiratory CO2 yield across the experiments. Genomic analysis indicated that the observed carbon utilization patterns may be attributed in part to the number of gene copies encoding for extracellular hydrolytic enzymes. Our results demonstrate that the lability and remineralization of organic matter in marine environments is not only a function of chemical composition and/or environmental conditions, but also a function of the microorganisms that are present and active.

microbiology↗

bioRxiv2019

Cooperation and spatial self-organization determine ecosystem function for polysaccharide-degrading bacteria

The recycling of particulate organic matter (POM) by microbes is a key part of the global carbon cycle, one which is mediated by the extracellular hydrolysis of polysaccharides and the production of public goods that can trigger social behaviors in bacteria. Despite the potential importance of these microbial interactions, their role in regulating of ecosystem function remains unclear. In this study, we developed a computational and experimental model system to address this challenge and studied how POM depolymerization rate and its uptake efficiency -two main ecosystem function parameters- depended on social interactions and spatial self-organization on particle surfaces. We found an emergent trade-off between rate and efficiency resulting from the competition between oligosaccharide diffusion and cellular uptake, with low rate and high efficiency being achieved through cell-to-cell cooperation between degraders. Bacteria cooperated by aggregating in cell-clusters of ~10-20m, where cells were able to share public goods. This phenomenon, which was independent of any explicit group-level regulation, led to the emergence of critical cell concentrations below which degradation did not occur, despite all resources being available in excess. By contrast, when particles were labile and turnover rates were high, aggregation promoted competition and decreased the efficiency of carbon utilization. Our study shows how social interactions and cell aggregation determine the rate and efficiency of particulate carbon turnover in environmentally relevant scenarios.\n\nSignificance StatementMicroorganisms can cooperate by secreting public goods that benefit local neighbors, however, the impact of cooperation on ecosystem functions remains poorly constrained. We here pair computation and experiment to show that bacterial cooperation mediates the degradation of polysaccharide particles recalcitrant to hydrolysis in aquatic environments. On particle surfaces, cooperation emerges through the self-organization of cells into ~10-20m clusters that promote cooperative uptake of hydrolysis products. The transition between cooperation and competition in aggregates is mitigated by individual cell behaviors such as motility and chemotaxis, that promote reorganization on the particle surface. When cooperation is required, the degradation of recalcitrant biopolymers can only take place when degraders exceed a critical cell concentration, underscoring the importance of microbial interactions for ecosystem function.

ecology↗

bioRxiv2019

Multicellular behavior enables cooperation in microbial cell aggregates

During the degradation of biological materials such as biopolymers, extracellular enzymes liberate oligosaccharides that act as common goods and become available for all cells in the local neighborhood. This phenomenon can lead to cooperative growth, whereby cell-cell aggregation increases both the per-capita availability of resources and the per cell growth rate. However, aggregation can also have detrimental consequences for growth, as gradients form within aggregates limiting the resource accessibility. We used a computational model to show that high bacterial densities and high enzyme secretion rates restrict cooperation in aggregates larger than 10m, due to the emergence of polymer and oligomer counter-gradients. We compared these predictions against experiments performed with two well-studied alginate degrading Vibrios, one of which displayed a strong density dependent growth. We observed that both strains can form large aggregates (<50m), overcoming diffusion limitation by rearranging their internal structure. The non-cooperative, strong enzyme producer formed aggregates with internal channels that allowed exchange between the bulk environment and the aggregate core, whereas the cooperative, weak enzyme producer formed dense aggregates that developed a hollow structure as they grew. These internal structures allowed cells to avoid overcrowded areas near the core, enabling the development of large cell aggregates. Our study shows that bacterial behavior can help overcome competition imposed by resource gradients within cell aggregates.

microbiology↗

bioRxiv2018

Modular assembly of polysaccharide-degrading microbial communities in the ocean

Many complex biological systems such as metabolic networks can be divided into functional and organizational subunits, called modules, which provide the flexibility to assemble novel multi-functional hierarchies by a mix and match of simpler components. Here we show that polysaccharide-degrading microbial communities in the ocean can also assemble in a modular fashion. Using synthetic particles made of a variety of polysaccharides commonly found in the ocean, we showed that the particle colonization dynamics of natural bacterioplankton assemblages can be understood as the aggregation of species modules of two main types: a first module type made of narrow niche-range primary degraders, whose dynamics are controlled by particle polysaccharide composition, and a second module type containing broad niche-range, substrate-independent taxa whose dynamics are controlled by interspecific interactions, in particular cross-feeding via organic acids, amino acids and other metabolic byproducts. As a consequence of this modular logic, communities can be predicted to assemble by a sum of substrate-specific primary degrader modules, one for each complex polysaccharide in the particle, connected to a single broad-niche range consumer module. We validate this model by showing that a linear combination of the communities on single-polysaccharide particles accurately predicts community composition on mixed-polysaccharide particles. Our results suggest thus that the assembly of heterotrophic communities that degrade complex organic materials follow simple design principles that can be exploited to engineer heterotrophic microbiomes.

microbiology↗

bioRxiv2018

Strain-level diversity drives alternative community types in millimeter scale granular biofilms

Microbial communities are often highly diverse in their composition, both at the level of coarse-grained taxa such as genera as well as at the level of strains within species. This variability can be driven by both extrinsic factors like temperature, pH, etc., as well as by intrinsic ones, such as demographic fluctuations or ecological interactions. The relative contributions of these factors and the taxonomic level at which they influence community structure remain poorly understood, in part because of the difficulty of identifying true community replicates assembled under the same environmental parameters. Here, we address this problem using an activated granular sludge reactor in which millimeter scale biofilm granules represent true community replicates whose differences in composition are expected to be driven primarily by biotic factors. Using 142 shotgun metagenomes of single biofilm granules we found that, at the commonly used genuslevel resolution, community replicates varied much more in their composition than would be expected from neutral assembly processes. This variation, however, did not translate into any clear partitioning into discrete community types, i.e. the equivalent of enterotypes in the human gut. However, a strong partition into community types did emerge at the strain level for the most abundant organism: strains of Candidatus Accumulibacter that coexisted in the metacommunity--i.e. the reactor--excluded each other within community replicates. Single-granule communities maintained a significant lineage structure, whereby the strain phylogeny of Accumulibacter correlated with the overall species composition of the community, indicating high potential for co-diversification among species and communities. Our results suggest that due to the high functional redundancy and competition between close relatives, alternative community types are most likely observed at the level of recently differentiated genotypes but not higher orders of genetic resolution.

microbiology↗

bioRxiv2018

Micro-scale ecology regulates particulate organic matter turnover in model marine microbial communities

The degradation of particulate organic matter in the ocean is a central process in the global carbon cycle, the mode and tempo of which is determined by the bacterial communities that assemble on particle surfaces. Although recent studies have shed light on the dynamics of community assembly on particles -which serve as hotspots of microbial activity in the ocean, the mapping from community composition to function, i.e. particle degradation, remains completely unexplored. Using a collection of marine bacteria cultured from different stages of succession on chitin micro-particles we found that the hydrolytic power of communities is highly dependent on community composition. Different particle degrading taxa -all of which were early successional species during colonization- displayed characteristic particle half-lives that differed by ~170 hours, comparable to the residence time of particles in the oceans mixed layer1. These half-lives were in general longer in multispecies communities, where the growth of obligate cross-feeders limited the ability of degraders to colonize and consume particles. Remarkably, above a certain critical initial ratio of cross-feeder to degrader cells, particle degradation was completely blocked along with the growth of all members of the community. We showed that this interaction occurred between a variety of strains of different taxonomic origins and that it only appears when bacteria interact with particles, suggesting a mechanism by which non-degrading secondary consumers occlude access to the particle resource. Overall, our results show that micro-scale community ecology on particle surfaces can have significant impact on carbon turnover in the ocean.

microbiology↗