Antagonism correlates with metabolic similarity in diverse bacteria

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Abstract

Diverse species from all over the bacterial tree of life produce antibiotics to limit the growth of competitors and thereby enhance their resource availability. Here we examined the pairwise inhibition between bacterial species from natural settings. We find that bacteria mainly inhibit the growth of metabolically similar and evolutionary related species, in line with Darwin’s age old competition-relatedness hypothesis. We further find that inhibiting the growth of other species is associated with a generalist lifestyle, suggesting a trade-off between specialists efficiently growing on few resources and generalists who are able to use many resources but have to inhibit the specialists to obtain them. In the Origin of Species, Charles R. Darwin [Darwin C (1859) On the Origin of Species] proposed that the struggle for existence must be most intense among closely related species by means of their functional similarity. It has been hypothesized that this similarity, which results in resource competition, is the driver of the evolution of antagonism among bacteria. Consequently, antagonism should mostly be prevalent among phylogenetically and metabolically similar species. We tested the hypothesis by screening for antagonism among all possible pairwise interactions between 67 bacterial species from 8 different environments: 2,211 pairs of species and 4,422 interactions. We found a clear association between antagonism and phylogenetic distance, antagonism being most likely among closely related species. We determined two metabolic distances between our strains: one by scoring their growth on various natural carbon sources and the other by creating metabolic networks of predicted genomes. For both metabolic distances, we found that the probability of antagonism increased the more metabolically similar the strains were. Moreover, our results were not compounded by whether the antagonism was between sympatric or allopatric strains. Intriguingly, for each interaction the antagonizing strain was more likely to have a wider metabolic niche than the antagonized strain: that is, larger metabolic networks and growth on more carbon sources. This indicates an association between an antagonistic and a generalist strategy.

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Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species.

Ok-Sun Kim, Yong-Joon Cho, Kihyun Lee … (2012)

Despite recent advances in commercially optimized identification systems, bacterial identification remains a challenging task in many routine microbiological laboratories, especially in situations where taxonomically novel isolates are involved. The 16S rRNA gene has been used extensively for this task when coupled with a well-curated database, such as EzTaxon, containing sequences of type strains of prokaryotic species with validly published names. Although the EzTaxon database has been widely used for routine identification of prokaryotic isolates, sequences from uncultured prokaryotes have not been considered. Here, the next generation database, named EzTaxon-e, is formally introduced. This new database covers not only species within the formal nomenclatural system but also phylotypes that may represent species in nature. In addition to an identification function based on Basic Local Alignment Search Tool (blast) searches and pairwise global sequence alignments, a new objective method of assessing the degree of completeness in sequencing is proposed. All sequences that are held in the EzTaxon-e database have been subjected to phylogenetic analysis and this has resulted in a complete hierarchical classification system. It is concluded that the EzTaxon-e database provides a useful taxonomic backbone for the identification of cultured and uncultured prokaryotes and offers a valuable means of communication among microbiologists who routinely encounter taxonomically novel isolates. The database and its analytical functions can be found at http://eztaxon-e.ezbiocloud.net/.

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Phylogenetic overdispersion in Floridian oak communities.

J Cavender-Bares, D D Ackerly, D A Baum … (2004)

Closely related species that occur together in communities and experience similar environmental conditions are likely to share phenotypic traits because of the process of environmental filtering. At the same time, species that are too similar are unlikely to co-occur because of competitive exclusion. In an effort to explain the coexistence of 17 oak species within forest communities in North Central Florida, we examined correlations between the phylogenetic relatedness of oak species, their degree of co-occurrence within communities and niche overlap across environmental gradients, and their similarity in ecophysiological and life-history traits. We show that the oaks are phylogenetically overdispersed because co-occurring species are more distantly related than expected by chance, and oaks within the same clade show less niche overlap than expected. Hence, communities are more likely to include members of both the red oak and the white + live oak clades than only members of one clade. This pattern of phylogenetic overdispersion arises because traits important for habitat specialization show evolutionary convergence. We hypothesize further that certain conserved traits permit coexistence of distantly related congeners. These results provide an explanation for how oak diversity is maintained at the community level in North Central Florida.

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Plant functional traits have globally consistent effects on competition.

Georges Kunstler, Daniel Stein Falster, David A. Coomes … (2016)

Phenotypic traits and their associated trade-offs have been shown to have globally consistent effects on individual plant physiological functions, but how these effects scale up to influence competition, a key driver of community assembly in terrestrial vegetation, has remained unclear. Here we use growth data from more than 3 million trees in over 140,000 plots across the world to show how three key functional traits--wood density, specific leaf area and maximum height--consistently influence competitive interactions. Fast maximum growth of a species was correlated negatively with its wood density in all biomes, and positively with its specific leaf area in most biomes. Low wood density was also correlated with a low ability to tolerate competition and a low competitive effect on neighbours, while high specific leaf area was correlated with a low competitive effect. Thus, traits generate trade-offs between performance with competition versus performance without competition, a fundamental ingredient in the classical hypothesis that the coexistence of plant species is enabled via differentiation in their successional strategies. Competition within species was stronger than between species, but an increase in trait dissimilarity between species had little influence in weakening competition. No benefit of dissimilarity was detected for specific leaf area or wood density, and only a weak benefit for maximum height. Our trait-based approach to modelling competition makes generalization possible across the forest ecosystems of the world and their highly diverse species composition.