Genome Mining, Microbial Interactions, and Molecular Networking Reveals New Dibromoalterochromides from Strains of Pseudoalteromonas of Coiba National Park-Panama

Autor: Librada A. Atencio, Cristopher A. Boya P., Christian Martin H., Luis C. Mejía, Pieter C. Dorrestein, Marcelino Gutiérrez

Publikováno v: Marine Drugs, Vol 18, Iss 9, p 456 (2020)

The marine bacterial genus Pseudoalteromonas is known for their ability to produce antimicrobial compounds. The metabolite-producing capacity of Pseudoalteromonas has been associated with strain pigmentation; however, the genomic basis of their antim

Externí odkaz: https://doaj.org/article/9f317c325cfb41518f433a5399c23d35

Longitudinal effects of growth restriction on the murine gut microbiome and metabolome

Autor: Melissa A. Quinn, Abby E. Pritchard, Joseph R. Visker, Ashley C. McPeek, Ruma Raghuvanshi, Christian Martin H, Austin G. Wellette-Hunsucker, Eric C. Leszczynski, Laura R. McCabe, Karin A. Pfeiffer, Robert A. Quinn, David P. Ferguson

Publikováno v: American Journal of Physiology-Endocrinology and Metabolism. 323:E159-E170

Undernutrition-induced growth restriction in the early stages of life increases the risk of chronic disease in adulthood. Although metabolic impairments have been observed, few studies have characterized the gut microbiome and gut-liver metabolome pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ced15543accc9cfcfa54f51c5a2ef39
https://doi.org/10.1152/ajpendo.00446.2021

Metabolomic signatures of coral bleaching history

Autor: Ty N.F. Roach, Robert A. Quinn, A. Daniel Jones, Jenna Dilworth, Christian Martin H, Crawford Drury

Publikováno v: Nature Ecology & Evolution. 5:495-503

Coral bleaching has a profound impact on the health and function of reef ecosystems, but the metabolomic effects of coral bleaching are largely uncharacterized. Here, untargeted metabolomics was used to analyse pairs of adjacent Montipora capitata co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0c959c7edaf4517d093a0523aae9eef3
https://doi.org/10.1038/s41559-020-01388-7

Feature-based molecular networking in the GNPS analysis environment

Autor: Robert A. Quinn, Mélissa Nothias-Esposito, Oriane Moyne, Neha Garg, Fernando Vargas, Hiroshi Tsugawa, Zdeněk Kameník, Bindesh Shrestha, Julia M. Gauglitz, Sven W. Meyer, Tam Dang, Pieter C. Dorrestein, Michael Witting, Abinesh Sarvepalli, Madeleine Ernst, Alexey Gurevich, Giorgis Isaac, Nikolas Kessler, Zheng Zhang, Robin Schmid, Marcus Ludwig, Ngoc Hung Nguyen, Johannes Rainer, Mingxun Wang, Theodore Alexandrov, Laura-Isobel McCall, Ivan Protsyuk, Audrey Le Gouellec, Pierre-Marie Allard, Sebastian Böcker, Alan K. Jarmusch, Ricardo Silva, Heiko Neuweger, Irina Koester, Ansgar Korf, Oliver Kohlbacher, Anupriya Tripathi, Daniel Petras, Kai Dührkop, Simon Rogers, Julien Paolini, Alexander A. Aksenov, Markus Fleischauer, Oliver Alka, Fabian Aicheler, Steffen Neumann, Kelly C. Weldon, Louis-Félix Nothias, Mustafa Morsy, Christian Martin H, Hosein Mohimani, Vanessa V. Phelan, Nuno Bandeira, Jonathan McSayles, Xavier Cachet, Justin J. J. van der Hooft, Kyo Bin Kang, Florian Zubeil, Tomáš Pluskal, Aiko Barsch, Heejung Yang, Andrés Mauricio Caraballo-Rodríguez

Publikováno v: Nature methods, vol 17, iss 9
Nature methods
Nature Methods
Nature Methods, Nature Publishing Group, 2020, 17 (9), pp.905-908. ⟨10.1038/s41592-020-0933-6⟩
Nat. Methods 17, 905–908 (2020)
Nature Methods 17 (2020) 9
Nature Methods, 17(9), 905-908

Feature-based molecular networking allows the generation of molecular networks for mass spectrometry data that can recognize isomers, incorporate relative quantification and integrate ion mobility data.Molecular networking has become a key method to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a31c0489fe436e78d33f542d30efe91
https://doi.org/10.1038/s41592-020-0933-6

A community resource for paired genomic and metabolomic data mining

Autor: Lars Ridder, Tim S. Bugni, Jamshid Amiri Moghaddam, Florian Huber, Elke Dittmann, Kelly C. Weldon, Louis-Félix Nothias, Douglas Sweeney, Mingxun Wang, Paul R. Jensen, Letícia V. Costa-Lotufo, Christine Beemelmanns, Katherine R. Duncan, Nadine Ziemert, Xuanji Li, Dulce G. Guillén Matus, Chao Du, Neha Garg, Jae Seoun Hur, Elizabeth I. Parkinson, Raphael Reher, Nicholas J. Tobias, Alex A. Blacutt, Emily C Pierce, Michelle Schorn, J. Michael Beman, Simon Rogers, María Victoria Berlanga-Clavero, Martin Baunach, Fan Zhang, Deepa D. Acharya, Harald Gross, Hamada Saad, M. Caroline Roper, Anna Edlund, Jason M. Crawford, Daniel Petras, Alexandra Calteau, Benjamin-Florian Hempel, Seoung Rak Lee, Max Crüsemann, Neil L. Kelleher, Hosein Mohimani, David P. Fewer, Shaurya Chanana, Carmen Saenz, Lena Gerwick, Ki-Hyun Kim, Roderich D. Süssmuth, Jörn Piel, Diego Romero, Marnix H. Medema, Anelize Bauermeister, Christopher Drozd, Regan J. Thomson, Anne Boullie, Michael W. Mullowney, Karine Pires, Andrew C. McAvoy, Alexander A. Aksenov, Saefuddin Aziz, Raquel Castelo-Branco, Julia M. Gauglitz, Mitchell N. Muskat, Bart Cuypers, Emily C. Gentry, Yi Yuan Lee, Eric J. N. Helfrich, Tam Dang, Pieter C. Dorrestein, Liu Cao, Rachel J. Dutton, Gilles P. van Wezel, Helge B. Bode, Margherita Sosio, Asker Daniel Brejnrod, Gajender Aleti, Leonard Kaysser, Amaro E. Trindade-Silva, Willam W. Metcalf, Irina Koester, Tiago Leao, Katherine D. Bauman, Jessica C. Little, Evgenia Glukhov, Ellis C. O’Neill, Justin J. J. van der Hooft, Alyssa M. Demko, Alexander B. Chase, Marc G. Chevrette, Bradley S. Moore, Christian Martin H, Kapil Tahlan, Cameron R. Currie, Allegra T. Aron, Muriel Gugger, Kyo Bin Kang, Víctor J. Carrión, Michael J. Rust, Gabriele M. König, Carlos Molina-Santiago, Søren J. Sørensen, Marianna Iorio, Jean-Claude Dujardin, Daniel Männle, Chung Sub Kim, Laura M. Sanchez, Katherine N. Maloney, Stefan Verhoeven, Tristan de Rond

Publikováno v: Nature Chemical Biology
Nature Chemical Biology, Nature Publishing Group, 2021, ⟨10.1038/s41589-020-00724-z⟩
Nature Chemical Biology 17 (2021) 4
Nature Chemical Biology, 17(4), 363-368
Nature Chemical Biology, 17(4), 363-368. Nature Publishing Group
Nat Chem Biol
Schorn, M A, Verhoeven, S, Ridder, L, Huber, F, Acharya, D D, Aksenov, A A, Aleti, G, Moghaddam, J A, Aron, A T, Aziz, S, Bauermeister, A, Bauman, K D, Baunach, M, Beemelmanns, C, Beman, J M, Berlanga-Clavero, M V, Blacutt, A A, Bode, H B, Boullie, A, Brejnrod, A, Bugni, T S, Calteau, A, Cao, L, Carrión, V J, Castelo-Branco, R, Chanana, S, Chase, A B, Chevrette, M G, Costa-Lotufo, L V, Crawford, J M, Currie, C R, Cuypers, B, Dang, T, de Rond, T, Demko, A M, Dittmann, E, Du, C, Drozd, C, Dujardin, J-C, Dutton, R J, Edlund, A, Fewer, D P, Garg, N, Gauglitz, J M, Gentry, E C, Gerwick, L, Glukhov, E, Gross, H, Gugger, M, Matus, D G G, Helfrich, E J N, Hempel, B-F, Hur, J-S, Iorio, M, Jensen, P R, Kang, K B, Kaysser, L, Kelleher, N L, Kim, C S, Kim, K H, Koester, I, König, G M, Leao, T, Lee, S R, Lee, Y-Y, Li, X, Little, J C, Maloney, K N, Männle, D, Martin H., C, McAvoy, A C, Metcalf, W W, Mohimani, H, Molina-Santiago, C, Moore, B S, Mullowney, M W, Muskat, M, Nothias, L-F, O'Neill, E C, Parkinson, E I, Petras, D, Piel, J, Pierce, E C, Pires, K, Reher, R, Romero, D, Roper, M C, Rust, M, Saad, H, Saenz, C, Sanchez, L M, Sørensen, S J, Sosio, M, Süssmuth, R D, Sweeney, D, Tahlan, K, Thomson, R J, Tobias, N J, Trindade-Silva, A E, van Wezel, G P, Wang, M, Weldon, K C, Zhang, F, Ziemert, N, Duncan, K R, Crüsemann, M, Rogers, S, Dorrestein, P C, Medema, M H & van der Hooft, J J J 2021, ' A community resource for paired genomic and metabolomic data mining ', Nature Chemical Biology, vol. 17, no. 4, pp. 363-368 . https://doi.org/10.1038/s41589-020-00724-z
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Nature Chemical Biology, 2021, ⟨10.1038/s41589-020-00724-z⟩
Nature chemical biology

International audience; Genomics and metabolomics are widely used to explore specialized metabolite diversity. The Paired Omics Data Platform is a community initiative to systematically document links between metabolome and (meta)genome data, aiding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28bab3cd944ad174c6905009e2841f0d
https://hal-pasteur.archives-ouvertes.fr/pasteur-03153704/document