Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.

Inferring the metabolic capabilities of an organism from its genome is a challenging process, relying on computationally-derived or manually curated metabolic networks. Manual curation can correct mistakes in the draft network and add missing reactions based on the literature, but requires significa...

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Main Authors: Daniel Sher, Emma E George, Matthias Wietz, Scott Gifford, Luca Zoccarato, Osnat Weissberg, Coco Koedooder, Waseem Bashir Valiya Kalladi, Marcelo M Barreto Filho, Raul Mireles, Stas Malavin, Michal Liddor Naim, Tal Idan, Vibhaw Shrivastava, Lynne Itelson, Dagan Sade, Alhan Abu Hamoud, Yara Soussan-Farhat, Noga Barak, Peter Karp, Lisa R Moore
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0321141
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author Daniel Sher
Emma E George
Matthias Wietz
Scott Gifford
Luca Zoccarato
Osnat Weissberg
Coco Koedooder
Waseem Bashir Valiya Kalladi
Marcelo M Barreto Filho
Raul Mireles
Stas Malavin
Michal Liddor Naim
Tal Idan
Vibhaw Shrivastava
Lynne Itelson
Dagan Sade
Alhan Abu Hamoud
Yara Soussan-Farhat
Noga Barak
Peter Karp
Lisa R Moore
author_facet Daniel Sher
Emma E George
Matthias Wietz
Scott Gifford
Luca Zoccarato
Osnat Weissberg
Coco Koedooder
Waseem Bashir Valiya Kalladi
Marcelo M Barreto Filho
Raul Mireles
Stas Malavin
Michal Liddor Naim
Tal Idan
Vibhaw Shrivastava
Lynne Itelson
Dagan Sade
Alhan Abu Hamoud
Yara Soussan-Farhat
Noga Barak
Peter Karp
Lisa R Moore
author_sort Daniel Sher
collection DOAJ
description Inferring the metabolic capabilities of an organism from its genome is a challenging process, relying on computationally-derived or manually curated metabolic networks. Manual curation can correct mistakes in the draft network and add missing reactions based on the literature, but requires significant expertise and is often the bottleneck for high-quality metabolic reconstructions. Here, we present a synopsis of a community curation workshop for the model marine bacterium Alteromonas macleodii ATCC 27126 and its genome database in BioCyc, focusing on pathways for utilizing organic carbon and nitrogen sources. Due to the scarcity of biochemical information or gene knock-outs, the curation process relied primarily on published growth phenotypes and bioinformatic analyses, including comparisons with related Alteromonas strains. We report full pathways for the utilization of the algal polysaccharides alginate and pectin in contrast to inconclusive evidence for one-carbon metabolism and mixed acid fermentation, in accordance with the lack of growth on methanol and formate. Pathways for amino acid degradation are ubiquitous across Alteromonas macleodii strains, yet enzymes in the pathways for the degradation of threonine, tryptophan and tyrosine were not identified. Nucleotide degradation pathways are also partial in ATCC 27126. We postulate that demonstrated growth on nitrate as sole nitrogen source proceeds via a nitrate reductase pathway that is a hybrid of known pathways. Our evidence highlights the value of joint and interactive curation efforts, but also shows major knowledge gaps regarding Alteromonas metabolism. The manually-curated metabolic reconstruction is available as a "Tier-2" database on BioCyc.
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spelling doaj-art-8dd5748dc31b481b8fa16e9c2ee833f62025-08-20T02:19:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01204e032114110.1371/journal.pone.0321141Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.Daniel SherEmma E GeorgeMatthias WietzScott GiffordLuca ZoccaratoOsnat WeissbergCoco KoedooderWaseem Bashir Valiya KalladiMarcelo M Barreto FilhoRaul MirelesStas MalavinMichal Liddor NaimTal IdanVibhaw ShrivastavaLynne ItelsonDagan SadeAlhan Abu HamoudYara Soussan-FarhatNoga BarakPeter KarpLisa R MooreInferring the metabolic capabilities of an organism from its genome is a challenging process, relying on computationally-derived or manually curated metabolic networks. Manual curation can correct mistakes in the draft network and add missing reactions based on the literature, but requires significant expertise and is often the bottleneck for high-quality metabolic reconstructions. Here, we present a synopsis of a community curation workshop for the model marine bacterium Alteromonas macleodii ATCC 27126 and its genome database in BioCyc, focusing on pathways for utilizing organic carbon and nitrogen sources. Due to the scarcity of biochemical information or gene knock-outs, the curation process relied primarily on published growth phenotypes and bioinformatic analyses, including comparisons with related Alteromonas strains. We report full pathways for the utilization of the algal polysaccharides alginate and pectin in contrast to inconclusive evidence for one-carbon metabolism and mixed acid fermentation, in accordance with the lack of growth on methanol and formate. Pathways for amino acid degradation are ubiquitous across Alteromonas macleodii strains, yet enzymes in the pathways for the degradation of threonine, tryptophan and tyrosine were not identified. Nucleotide degradation pathways are also partial in ATCC 27126. We postulate that demonstrated growth on nitrate as sole nitrogen source proceeds via a nitrate reductase pathway that is a hybrid of known pathways. Our evidence highlights the value of joint and interactive curation efforts, but also shows major knowledge gaps regarding Alteromonas metabolism. The manually-curated metabolic reconstruction is available as a "Tier-2" database on BioCyc.https://doi.org/10.1371/journal.pone.0321141
spellingShingle Daniel Sher
Emma E George
Matthias Wietz
Scott Gifford
Luca Zoccarato
Osnat Weissberg
Coco Koedooder
Waseem Bashir Valiya Kalladi
Marcelo M Barreto Filho
Raul Mireles
Stas Malavin
Michal Liddor Naim
Tal Idan
Vibhaw Shrivastava
Lynne Itelson
Dagan Sade
Alhan Abu Hamoud
Yara Soussan-Farhat
Noga Barak
Peter Karp
Lisa R Moore
Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.
PLoS ONE
title Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.
title_full Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.
title_fullStr Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.
title_full_unstemmed Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.
title_short Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126.
title_sort collaborative metabolic curation of an emerging model marine bacterium alteromonas macleodii atcc 27126
url https://doi.org/10.1371/journal.pone.0321141
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