J. Comput. Biol. - Analysis of metabolic evolution in bacteria using whole-genome metabolic models.

Tópicos

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Resumo

Recent advances in the automation of metabolic model reconstruction have led to the availability of draft-quality metabolic models (predicted reaction complements) for multiple bacterial species. These reaction complements can be considered as trait representations and can be used for ancestral state reconstruction to infer the most likely metabolic complements of common ancestors of all bacteria with generated metabolic models. We present here an ancestral state reconstruction for 141 extant bacteria and analyze the reaction gains and losses for these bacteria with respect to their lifestyles and pathogenic nature. A simulated annealing approach is used to look at coordinated metabolic gains and losses in two bacteria. The main losses of Onion yellows phytoplasma OY-M, an obligate intracellular pathogen, are shown (as expected) to be in cell wall biosynthesis. The metabolic gains made by Clostridium difficile CD196 in adapting to its current habitat in the human colon is also analyzed. Our analysis shows that the capability to utilize N-Acetyl-neuraminic acid as a carbon source has been gained, rather than having been present in the Clostridium ancestor, as has the capability to synthesize phthiocerol dimycocerosate, which could potentially aid the evasion of the host immune response. We have shown that the availability of large numbers of metabolic models, along with conventional approaches, has enabled a systematic method to analyze metabolic evolution in the bacterial domain.

Resumo Limpo

recent advanc autom metabol model reconstruct led avail draftqual metabol model predict reaction complement multipl bacteri speci reaction complement can consid trait represent can use ancestr state reconstruct infer like metabol complement common ancestor bacteria generat metabol model present ancestr state reconstruct extant bacteria analyz reaction gain loss bacteria respect lifestyl pathogen natur simul anneal approach use look coordin metabol gain loss two bacteria main loss onion yellow phytoplasma oym oblig intracellular pathogen shown expect cell wall biosynthesi metabol gain made clostridium difficil cd adapt current habitat human colon also analyz analysi show capabl util nacetylneuramin acid carbon sourc gain rather present clostridium ancestor capabl synthes phthiocerol dimycoceros potenti aid evas host immun respons shown avail larg number metabol model along convent approach enabl systemat method analyz metabol evolut bacteri domain

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