What is the difference between phenotypic and phylogenetic classification




















Differentiation in the ability to use various carbon substrates was expected and explains why numerous bacteria can co-exist in a community.

Substrate utilization depends on only on few genes and is thus easily transferred Martiny et al. Similarly, we have consistently observed microdiversity in traits for phosphorus scavenging in a large sample of Bacillus spp. But, why is the phylogenetic signal of complex traits, that requires numerous genes, similar to that observed for simple traits few genes?

An elementary explanation could be that expression of these complex traits finally depends on simple traits: sugars, such as exopolysacharides, in the case of biofilm, surfactin, for swarming, etc. If simple genes are behind the control of social complex traits, the signal will resemble that observed for the distribution of genes encoding enzymes involved in substrate utilization.

There are at least two explanations for what seems to be the intra-specific loss of traits: i real loss due to complete dispensability of the trait, and ii compensated loss due to the availability of public goods.

For the first explanation, some traits would be lost by genetic drift and mutation because natural selection does not maintain them. For example, under the water-abundant conditions of sediment, movement by swimming might allow sufficient mobility for most cells and thus swarming might be dispensable. However, this situation can also be explained by compensated trait loss, as the addition of surfactants has been reported to complement bacteria that are defective in swarming Kearns and Losick, Compensated trait loss Visser et al.

Ellers et al. Although we observed loss of different phenotypes, fitness analysis with non-isogenic strains complicates testing of this hypothesis. Also, we did not observe increased growth rates that were associated with the loss of phenotypic traits, which would have suggested a trade-off. Compensated trait loss through species interactions has been observed in the loss of lipogenic capacity of the parasitic fungus Malassezia globosa that feeds on lipids found on the skin of the host Xu et al.

Another example is loss of arginine biosynthesis in two leaf-cutter ant genera Nygaard et al. The extensive auxotrophy observed is consistent with the notion that compensated trait loss occurs in communities where availability of resources permits the individual loss of traits as long as the community can maintain the given function.

Some traits for the Bacillus spp. All clades had members that scored positive for the evaluated trait, suggesting that members that scored negatively for the phenotype have the potential to manifest the function under different conditions or upon interaction with members of the community.

There is evidence of the extensive signaling that controls biofilm formation Vlamakis et al. Sequencing of the genomes of the Bacillus spp. The different lineages of the Bacillus genus that co-exist in sediment communities of the Churince system are an excellent model for an in-depth study of intra-genus and intra-species trait heterogeneity.

We found microdiversity in social traits suggestive of different ecological strategies of the taxonomic groups. The phylogenetic signal suggests that substrate utilization and social traits conform to a Brownian model of evolution that could be explained by distributed functions in structured communities. MR-T contributed to the conception and design of the study, data acquisition and analysis, interpretation of the results, and preparation of the manuscript; AI-R and IH-G contributed to data acquisition and analysis; ZG-L and LD contributed to data acquisition and analysis, and to interpretation of the results; GO-A participated in the conception and design of the study, and to manuscript preparation; MT contributed to the design, discussion and critical revision of the manuscript, VS participated in obtaining sampling permits, discussion of the results and in a critical revision of the manuscript.

MT is supported by the John Templeton Foundation. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Eugenio Reynoso for specialized technical assistance. The authors acknowledge reviewer for careful reading and expert advice on results interpretation.

A Maximal growth rate was evaluated for each strain at two different glucose concentrations, 5 and 50 mM. B Saturation density was recorded for the different strains at 5 and 50 mM glucose.

Mainly isolates from the B. Anova analysis did not give a significant value for Vmax or saturation density across taxonomic groups. Alcaraz, L. Understanding the evolutionary relationships and major traits of Bacillus through comparative genomics.

BMC Genomics The genome of Bacillus coahuilensis reveals adaptations essential for survival in the relic of an ancient marine environment. Blomberg, S.

Testing for phylogenetic signal in comparative data: behavioral traits are more labile. Evolution 57, — Boon, E. Interactions in the microbiome: communities of organisms and communities of genes. FEMS Microbiol. Burke, C. Composition, uniqueness and variability of the epiphytic bacterial community of the green alga Ulva australis. ISME J. Calvio, C.

Swarming differentiation and swimming motility in Bacillus subtilis are controlled by swrA, a newly identified dicistronic operon. Cerritos, R. Bacillus coahuilensis sp. Cole, J. Acids Res. Cosmina, P. Sequence and analysis of the genetic locus responsible for surfactin synthesis in Bacillus subtilis.

Costerton, J. Microbial biofilms. Crespi, B. The evolution of social behavior in microorganisms. Trends Ecol. Daniels, R. Quorum sensing and swarming migration in bacteria.

Multilevel selection analysis of a microbial social trait. Diggle, S. Evolutionary theory of bacterial quorum sensing: when is a signal not a signal? B Biol. Edgar, R. Nucleic Acids Res. Ellers, J. Ecological interactions drive evolutionary loss of traits. Ewing, B. Basecalling of automated sequencer traces using phred. Accuracy assessment. Genome Res. Foster, K. Kin selection is the key to altruism. Frickey, T. Bioinformatics 20, — Fritz, S. Selectivity in mammalian extinction risk and threat types: a new measure of phylogenetic signal strength in binary traits.

Goberna, M. Predicting microbial traits with phylogenies. Goldfarb, K. Differential growth responses of soil bacterial taxa to carbon substrates of varying chemical recalcitrance. Google Maps Map of Churince. Cannibalism by sporulating bacteria. Science , — Goto, K.

Application of the partial 16S rDNA sequence as an index for rapid identification of species in the genus Bacillus. Guindon, S. New Algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3. Hamze, K. Identification of genes required for different stages of dendritic swarming in Bacillus subtilis, with a novel role for phrC.

Microbiology , — Harwood, C. Molecular Biological Methods for Bacillus , 1st Edn. Chichester: John Wylie and Sons. Google Scholar. Huang, X. Huelsenbeck, J. Bioinformatics 17, — Hunt, D. Resource partitioning and sympatric differentiation among closely related bacterioplankton.

Kearns, D. A field guide to bacterial swarming motility. Swarming motility in undomesticated Bacillus subtilis. Kembel, S. Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, — Koeppel, A. Lineage-dependent ecological coherence in bacteria.

Konstantinidis, K. Genomic insights that advance the species definition for prokaryotes. Lane, D. Stackebrandt and M. Letunic, I. Interactive tree of life v2: online annotation and display of phylogenetic trees made easy. Martiny, A. Phylogenetic conservatism of functional traits in microorganisms. McInerney, J. The public goods hypothesis for the evolution of life on Earth. Direct The external nodes represent specific taxa or organisms although they can also represent specific genes.

A clade indicates a group of organisms that all have a particular ancestor in common. Taxonomy refers to the organization of organisms, based on their relatedness. Typically it involves some type of classification scheme, the identification of isolates, and the naming or nomenclature of included organisms.

Many different classification schemes exist, although many have not been appropriate for comparison of microorganisms. A phenetic classification system relies upon the phenotypes or physical appearances of organisms. Phylogenetic classication uses evolutionary relationships of organisms. A genotypic classification compares genes or genomes between organisms. The most popular approach is to use a polyphasic approach, which combines aspects of all three previous systems.

Evolution It is believed that the Earth is 4. Early Earth Conditions on early Earth were most likely extremely hot, anoxic lacking oxygen , with reduced inorganic chemicals in abundance. Metabolic Diversity Initial cells probably had a relatively primitive electron transference system, perhaps through just one carrier, that still allowed for the development of a proton motive force to conserve energy. Ozone Shield Formation The development of an ozone shield around the Earth occurred around 2 billion years ago.

Endosymbiosis Evolution supports the idea of more primitive molecules or organisms being generated first, followed by the more complex components or organisms over time. By Signbrowser Own work [ CC0 ], via Wikimedia Commons Evidence to support this idea includes the fact that mitochondria and chloroplasts: have a single, circular chromosome; undergo binary fission separate from the eukaryotic cell; have 70S sized ribosomes; have a lipid bilayer with a ratio of protein to lipid; and, perhaps most importantly, have rRNA sequences that place them phylogenetically with the bacteria.

Phylogeny Molecular Phylogeny Phylogeny is a reference to the development of an organism evolutionarily. Phylogenetic Trees Phylogenetic trees serve to show a pictorial example of how organisms are believed to be related evolutionarily.

Taxonomy Taxonomy refers to the organization of organisms, based on their relatedness. Classification Systems A phenetic classification system relies upon the phenotypes or physical appearances of organisms.

Study Questions What is the approximate age of earth? What is the age of the oldest microbial fossils? What are thought to be the conditions of early earth?

How would this influence microbial selection? What are the important steps in the evolution of metabolism? What is the endosymbiotic theory and what evidence do we have for it? What is phylogeny? A taxon should be monophyletic all of the members of the taxon should be descendants of a single common ancestor. The characters or features used to identify the taxa must be homologous , which means that they must have a common origin, but not necessarily a common function.

For example, all the parts of a flower—petals, sepals, stamens, and carpels—originate in the same way as leaves from primordia in meristems. Although they now have different functions in the flower they're not photosynthetic , some sepals and petals structurally resemble leaves.

Leaves and the parts of the flower are homologous structures. Some features that look alike do not have a common origin and are said to be analogous. An example of analogous structures is the prickles on two groups of succulent desert plants, the cacti and the euphorbs. Cacti have spines that are modified leaves; euphorbs have thorns that are modified branches.

Spines and thorns look alike and are functionally similar in that both keep animals from eating the plants. Spines and thorns are analogous. This example of analogy is also an example of convergent evolution. The cactus family and the euphorb family both developed the same morphology in response to a desert environment—the cacti in North and South America, the euphorbs in Africa and Asia. The families are not related and have no recent common ancestor. Numerical taxonomy phenetics.

Systematists have tried many ways to make phyletic classifications more subjective. When computers became readily accessible in the s, numerical taxonomy or phenetics became a popular approach.

In practice, measurements were made of a large number of characters of a taxon, at least 60 per plant and often or more. No special importance was attributed to any one of the characters. After the measurements were complete on hundreds of individuals, the data were analyzed statistically with computer programs and cluster analysis or other methods to show purported natural groupings of plants with overall similarities.

Systematists' interpretations were thought to be minimized in this fashion.



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