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3. A bioinformatics approach for conceptual genome mining

Author

Duddela, Srikanth and Müller, Rolf

Subjects
Genom, ddc:570, search and matching, Bioinformatik, EM-Algorithmus, bioinformatics, ddc:620, genomes
Abstract

Recent advances in sequencing technology have set the stage for a steadily growing number of microbial whole-genome sequences. At the same time, bioinformatic analysis increasingly sheds light on the genome-encoded capacity of certain microorganisms for the production of secondary metabolites. This work describes the development of a bioinformatic toolkit to underpin discovery and dereplication efforts in a genomics-based workflow aimed at the characterization of multimodular biosynthetic gene clusters from bacterial genomes. Key to the “conceptual genome mining” approach implemented here is the comparison of pathways architectures represented by arrangement and properties of domains in complex PKS-, NRPS- and hybrid pathways rather than resorting to DNA- or protein-level sequence similarity. The new analysis framework named BiosynML toolkit was interfaced to antiSMASH, the de-facto standard for automatic annotation of biosynthetic pathways, and integrated with an existing in-house research database system (Mxbase). BiosynML methods were tested using 42 characterized pathways from 71 myxobacterial genomes and also applied to publicly accessible genomes from relevant microbial taxa. BiosynML tools were ultimately used to create an overview of 1347 pathways of which 783 distinct models were identified. This analysis revealed minimal overlap between suborders and enabled the tentative estimation of myxobacterial secondary metabolite gene cluster richness. Die fortschreitende Verbesserung von Sequenziertechnologien ermöglicht den Zugang zu einer stetig wachsenden Zahl von mikrobiellen Genomsequenzen. Gleichzeitig liefern bioinformatische Methoden ein immer besseres Bild des genetischen Potentials der Mikroorganismen für die Produktion von Sekundärmetaboliten. Die vorliegende Arbeit befasst sich mit der Entwicklung von bioinformatischen Werkzeugen um die Entdeckung, die Dereplikation und letztendlich die Charakterisierung von multimodularen Biosynthesewegen in mikrobiellen Genomen zu unterstützen. Kernstück des Ansatzes ist der „konzept-basierte“ Vergleich der Architekturen von komplexen PKS-, NRPS- und hybriden Genclustern, der sich auf Anordnung und Eigenschaften biosynthetischer Domänen stützt anstelle von Sequenzähnlichkeit. Das neu entwickelte Softwarewerkzeug, genannt BiosynML, wurde mit antiSMASH (dem de-facto Standard für die automatische Annotation von Biosynthesewegen) verknüpft und in eine bestehende Forschungsdatenbank (Mxbase) integriert. BiosynML Methoden wurden anhand der Biosynthesewege für 42 bekannte Naturstoffe in 71 myxobakteriellen Genomsequenzen getestet und auf öffentlich zugängliche Genome relevanter Mikroorganismen angewendet. Die Analyse von 1347 Biosyntheswegen aus den Genomen der Myxobakterien, darunter ein derepliziertes Set von 783 Typen, ergab eine nur minimale Überlappung zwischen Unterordnungen und ermöglichte die Abschätzung der Diversität an myxobakteriellen Sekundärmetaboliten-Genclustern.

Published
2016
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4. Minimum Information about a Biosynthetic Gene cluster: commentary

Author

Medema, Marnix H, Kottmann, Renzo, Yilmaz, Pelin, Cummings, Matthew, Biggins, John B, Blin, Kai, de Bruijn, Irene, Chooi, Yit Heng, Claesen, Jan, Coates, R Cameron, Cruz-Morales, Pablo, Duddela, Srikanth, Dusterhus, Stephanie, Edwards, Daniel J, Fewer, David P, Garg, Neha, Geiger, Christoph, Gomez-Escribano, Juan Pablo, Greule, Anja, Hadjithomas, Michalis, Haines, Anthony S, Helfrich, Eric J N, Hillwig, Matthew L, Ishida, Keishi, Jones, Adam C, Jones, Carla S, Jungmann, Katrin, Kegler, Carsten, Kim, Hyun Uk, Kotter, Peter, Krug, Daniel, Masschelein, Joleen, Melnik, Alexey V, Mantovani, Simone M, Monroe, Emily A, Moore, Marcus, Moss, Nathan, Nutzmann, Hans-Wilhelm, Pan, Guohui, Pati, Amrita, Petras, Daniel, Reen, F Jerry, Rosconi, Federico, Rui, Zhe, Tian, Zhenhua, Tobias, Nicholas J, Tsunematsu, Yuta, Wiemann, Philipp, Wyckoff, Elizabeth, Yan, Xiaohui, Yim, Grace, Yu, Fengan, Xie, Yunchang, Aigle, Bertrand, Apel, Alexander K, Balibar, Carl J, Balskus, Emily P, Barona-Gomez, Francisco, Bechthold, Andreas, Bode, Helge B, Borriss, Rainer, Brady, Sean F, Brakhage, Axel A, Caffrey, Patrick, Cheng, Yi-Qiang, Clardy, Jon, Cox, Russell J, De Mot, Rene, Donadio, Stefano, Donia, Mohamed S, van der Donk, Wilfred A, Dorrestein, Pieter C, Doyle, Sean, Driessen, Arnold J M, Ehling-Schulz, Monika, Entian, Karl-Dieter, Fischbach, Michael A, Gerwick, Lena, Gerwick, William H, Gross, Harald, Gust, Bertolt, Hertweck, Christian, Hofte, Monica, Jensen, Susan E, Ju, Jianhua, Katz, Leonard, Kaysser, Leonard, Klassen, Jonathan L, Keller, Nancy P, Kormanec, Jan, Kuipers, Oscar P, Kuzuyama, Tomohisa, Kyrpides, Nikos C, Kwon, Hyung-Jin, Lautru, Sylvie, Lavigne, Rob, Lee, Chia Y, Linquan, Bai, Liu, Xinyu, Liu, Wen, Luzhetskyy, Andriy, Mahmud, Taifo, Mast, Yvonne, Mendez, Carmen, Metsa-Ketela, Mikko, Micklefield, Jason, Mitchell, Douglas A, Moore, Bradley S, Moreira, Leonilde M, Muller, Rolf, Neilan, Brett A, Nett, Markus, Nielsen, Jens, O'Gara, Fergal, Oikawa, Hideaki, Osbourn, Anne, Osburne, Marcia S, Ostash, Bohdan, Payne, Shelley M, Pernodet, Jean-Luc, Petricek, Miroslav, Piel, Jorn, Ploux, Olivier, Raaijmakers, Jos M, Salas, Jose A, Schmitt, Esther K, Scott, Barry, Seipke, Ryan F, Shen, Ben, Sherman, David H, Sivonen, Kaarina, Smanski, Michael J, Sosio, Margherita, Stegmann, Evi, Sussmuth, Roderich D, Tahlan, Kapil, Thomas, Christopher M, Tang, Yi, Truman, Andrew W, Viaud, Muriel, Walton, Jonathan D, Walsh, Christopher T, Weber, Tilmann, van Wezel, Gilles P, Wilkinson, Barrie, Willey, Joanne M, Wohlleben, Wolfgang, Wright, Gerard D, Ziemert, Nadine, Zhang, Changsheng, Zotchev, Sergey B, Breitling, Rainer, Takano, Eriko, Glockner, Frank Oliver, and Microbial Ecology (ME)

Subjects
international
Abstract

A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.

Published
2015

5. Minimum information about a biosynthetic gene cluster

Author

Medema, Marnix H., Kottmann, Renzo, Yilmaz, Pelin, Cummings, Matthew, Biggins, John B., Kai, Blin, de Bruijn, Irene, Chooi, Yit Heng, Claesen, Jan, Coates, R. Cameron, Cruz-Morales, Pablo, Duddela, Srikanth, Düsterhus, Stephanie, Edwards, Daniel J., Fewer, David P., Garg, Neha, Geiger, Christoph, Gomez-Escribano, Juan Pablo, Greule, Anja, Hadjithomas, Michalis, Haines, Anthony S., Helfrich, Eric J. N., Hillwig, Matthew L., Ishida, Keishi, Jones, Adam C., Jones, Carla S., Jungmann, Katrin, Kegler, Carsten, Kim, Hyun Uk, Kötter, Peter, Krug, Daniel, Masschelein, Joleen, Melnik, Alexey V., Mantovan, Simone M., Monroe, Emily A., Moore, Marcus, Moss, Nathan, Nützmann, Hans-Wilhelm, Pan, Guohui, Pati, Amrita, Petras, Daniel, Reen, F. Jerry, Rosconi, Federico, Rui, Zhe, Tian, Zhenhua, Tobias, Nicholas J., Tsunematsu, Yuta, Wiemann, Philipp, Wyckoff, Elizabeth, Yan, Xiaohui, Yim, Grace, Yu, Fengan, Xie, Yunchang, Aigle, Bertrand, Apel, Alexander K., Balibar, Carl J., Balskus, Emily P., Barona-Gómez, Francisco, Bechthold, Andreas, Bode, Helge Björn, Borriss, Rainer, Brady, Sean F., Brakhage, Axel A., Caffrey, Patrick, Cheng, Yi-Qiang, Clardy, Jon, Cox, Russell J., De Mot, René, Donadio, Stefano, Donia, Mohamed S., van der Donk, Wilfred A., Dorrestein, Pieter C., Doyle, Sean, Driessen, Arnold J. M., Ehling-Schulz, Monika, Entian, Karl-Dieter, Fischbach, Michael A., Gerwick, Lena, Gerwick, William H., Gross, Harald, Gust, Bertolt, Hertweck, Christian, Höfte, Monica, Jensen, Susan E., Ju, Jianhua, Katz, Leonard, Kaysser, Leonard, Klassen, Jonathan L., Keller, Nancy P., Kormanec, Jan, Kuipers, Oscar P., Kuzuyama, Tomohisa, Kyrpides, Nikos C., Kwon, Hyung-Jin, Lautru, Sylvie, Lavigne, Rob, Lee, Chia Y., Linquan, Bai, Liu, Xinyu, Liu, Wen, Luzhetskyy, Andriy, Mahmud, Taifo, Mast, Yvonne, Méndez, Carmen, Metsä-Ketelä, Mikko, Micklefield, Jason, Mitchell, Douglas A., Moore, Bradley S., Moreira, Leonilde M., Müller, Rolf, Neilan, Brett A., Nett, Markus, Nielsen, Jens, O’Gara, Fergal, Oikawa, Hideaki, Osbourn, Anne, Osburne, Marcia S., Ostash, Bohdan, Payne, Shelley M., Pernodet, Jean-Luc, Petricek, Miroslav, Piel, Jörn, Ploux, Olivier, Raaijmakers, Jos M., Salas, José A., Schmitt, Esther K., Scott, Barry, Seipke, Ryan F., Shen, Ben, Sherman, David H., Sivonen, Kaarina, Smanski, Michael J., Sosio, Margherita, Stegmann, Evi, Süssmuth, Roderich D., Tahlan, Kapil, Thomas, Christopher M., Tang, Yi, Truman, Andrew W., Viaud, Muriel, Walton, Jonathan D., Walsh, Christopher T., Weber, Tilmann, van Wezel, Gilles P., Wilkinson, Barrie, Willey, Joanne M., Wohlleben, Wolfgang, Wright, Gerard D., Ziemert, Nadine, Zhang, Changsheng, Zotchev, Sergey B., Breitling, Rainer, Takano, Eriko, Glöckner, Frank Oliver, Medema, Marnix H., Kottmann, Renzo, Yilmaz, Pelin, Cummings, Matthew, Biggins, John B., Kai, Blin, de Bruijn, Irene, Chooi, Yit Heng, Claesen, Jan, Coates, R. Cameron, Cruz-Morales, Pablo, Duddela, Srikanth, Düsterhus, Stephanie, Edwards, Daniel J., Fewer, David P., Garg, Neha, Geiger, Christoph, Gomez-Escribano, Juan Pablo, Greule, Anja, Hadjithomas, Michalis, Haines, Anthony S., Helfrich, Eric J. N., Hillwig, Matthew L., Ishida, Keishi, Jones, Adam C., Jones, Carla S., Jungmann, Katrin, Kegler, Carsten, Kim, Hyun Uk, Kötter, Peter, Krug, Daniel, Masschelein, Joleen, Melnik, Alexey V., Mantovan, Simone M., Monroe, Emily A., Moore, Marcus, Moss, Nathan, Nützmann, Hans-Wilhelm, Pan, Guohui, Pati, Amrita, Petras, Daniel, Reen, F. Jerry, Rosconi, Federico, Rui, Zhe, Tian, Zhenhua, Tobias, Nicholas J., Tsunematsu, Yuta, Wiemann, Philipp, Wyckoff, Elizabeth, Yan, Xiaohui, Yim, Grace, Yu, Fengan, Xie, Yunchang, Aigle, Bertrand, Apel, Alexander K., Balibar, Carl J., Balskus, Emily P., Barona-Gómez, Francisco, Bechthold, Andreas, Bode, Helge Björn, Borriss, Rainer, Brady, Sean F., Brakhage, Axel A., Caffrey, Patrick, Cheng, Yi-Qiang, Clardy, Jon, Cox, Russell J., De Mot, René, Donadio, Stefano, Donia, Mohamed S., van der Donk, Wilfred A., Dorrestein, Pieter C., Doyle, Sean, Driessen, Arnold J. M., Ehling-Schulz, Monika, Entian, Karl-Dieter, Fischbach, Michael A., Gerwick, Lena, Gerwick, William H., Gross, Harald, Gust, Bertolt, Hertweck, Christian, Höfte, Monica, Jensen, Susan E., Ju, Jianhua, Katz, Leonard, Kaysser, Leonard, Klassen, Jonathan L., Keller, Nancy P., Kormanec, Jan, Kuipers, Oscar P., Kuzuyama, Tomohisa, Kyrpides, Nikos C., Kwon, Hyung-Jin, Lautru, Sylvie, Lavigne, Rob, Lee, Chia Y., Linquan, Bai, Liu, Xinyu, Liu, Wen, Luzhetskyy, Andriy, Mahmud, Taifo, Mast, Yvonne, Méndez, Carmen, Metsä-Ketelä, Mikko, Micklefield, Jason, Mitchell, Douglas A., Moore, Bradley S., Moreira, Leonilde M., Müller, Rolf, Neilan, Brett A., Nett, Markus, Nielsen, Jens, O’Gara, Fergal, Oikawa, Hideaki, Osbourn, Anne, Osburne, Marcia S., Ostash, Bohdan, Payne, Shelley M., Pernodet, Jean-Luc, Petricek, Miroslav, Piel, Jörn, Ploux, Olivier, Raaijmakers, Jos M., Salas, José A., Schmitt, Esther K., Scott, Barry, Seipke, Ryan F., Shen, Ben, Sherman, David H., Sivonen, Kaarina, Smanski, Michael J., Sosio, Margherita, Stegmann, Evi, Süssmuth, Roderich D., Tahlan, Kapil, Thomas, Christopher M., Tang, Yi, Truman, Andrew W., Viaud, Muriel, Walton, Jonathan D., Walsh, Christopher T., Weber, Tilmann, van Wezel, Gilles P., Wilkinson, Barrie, Willey, Joanne M., Wohlleben, Wolfgang, Wright, Gerard D., Ziemert, Nadine, Zhang, Changsheng, Zotchev, Sergey B., Breitling, Rainer, Takano, Eriko, and Glöckner, Frank Oliver

Abstract

A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.

Published
2015

6. Minimum Information about a Biosynthetic Gene cluster

Author

Medema, M.H., Kottmann, Renzo, Yilmaz, Pelin, Cummings, Matthew, Biggins, J.B., Blin, Kai, De Bruijn, Irene, Chooi, Yit Heng, Claesen, Jan, Coates, R.C., Cruz-Morales, Pablo, Duddela, Srikanth, Düsterhus, Stephanie, Edwards, Daniel J., Fewer, David P., Garg, Neha, Geiger, Christoph, Gomez-Escribano, Juan Pablo, Greule, Anja, Hadjithomas, Michalis, Haines, Anthony S., Helfrich, Eric J.N., Hillwig, Matthew L., Ishida, Keishi, Jones, Adam C., Jones, Carla S., Jungmann, Katrin, Kegler, Carsten, Kim, Hyun Uk, Kötter, Peter, Krug, Daniel, Masschelein, Joleen, Melnik, Alexey V., Mantovani, Simone M., Monroe, Emily A., Moore, Marcus, Moss, Nathan, Nützmann, Hans Wilhelm, Pan, Guohui, Pati, Amrita, Petras, Daniel, Reen, F.J., Rosconi, Federico, Rui, Zhe, Tian, Zhenhua, Tobias, Nicholas J., Tsunematsu, Yuta, Wiemann, Philipp, Wyckoff, Elizabeth, Yan, Xiaohui, Yim, Grace, Yu, Fengan, Xie, Yunchang, Aigle, Bertrand, Apel, Alexander K., Balibar, Carl J., Balskus, Emily P., Barona-Gómez, Francisco, Bechthold, Andreas, Bode, Helge B., Borriss, Rainer, Brady, Sean F., Brakhage, Axel A., Caffrey, Patrick, Cheng, Yi Qiang, Clardy, Jon, Cox, Russell J., De Mot, René, Donadio, Stefano, Donia, Mohamed S., Van Der Donk, Wilfred A., Dorrestein, Pieter C., Doyle, Sean, Driessen, Arnold J.M., Ehling-Schulz, Monika, Entian, Karl Dieter, Fischbach, Michael A., Gerwick, Lena, Gerwick, William H., Gross, Harald, Gust, Bertolt, Hertweck, Christian, Höfte, Monica, Jensen, Susan E., Ju, Jianhua, Katz, Leonard, Kaysser, Leonard, Klassen, Jonathan L., Keller, Nancy P., Kormanec, Jan, Kuipers, Oscar P., Kuzuyama, Tomohisa, Kyrpides, Nikos C., Kwon, Hyung Jin, Lautru, Sylvie, Lavigne, Rob, Lee, Chia Y., Linquan, Bai, Liu, Xinyu, Liu, Wen, Luzhetskyy, Andriy, Mahmud, Taifo, Mast, Yvonne, Méndez, Carmen, Metsä-Ketelä, Mikko, Micklefield, Jason, Mitchell, Douglas A., Moore, Bradley S., Moreira, Leonilde M., Müller, Rolf, Neilan, Brett A., Nett, Markus, Nielsen, Jens, O'Gara, Fergal, Oikawa, Hideaki, Osbourn, Anne, Osburne, Marcia S., Ostash, Bohdan, Payne, Shelley M., Pernodet, Jean Luc, Petricek, Miroslav, Piel, Jörn, Ploux, Olivier, Raaijmakers, Jos M., Salas, José A., Schmitt, Esther K., Scott, Barry, Seipke, Ryan F., Shen, Ben, Sherman, David H., Sivonen, Kaarina, Smanski, Michael J., Sosio, Margherita, Stegmann, Evi, Süssmuth, Roderich D., Tahlan, Kapil, Thomas, Christopher M., Tang, Yi, Truman, Andrew W., Viaud, Muriel, Walton, Jonathan D., Walsh, Christopher T., Weber, Tilmann, Van Wezel, Gilles P., Wilkinson, Barrie, Willey, Joanne M., Wohlleben, Wolfgang, Wright, Gerard D., Ziemert, Nadine, Zhang, Changsheng, Zotchev, Sergey B., Breitling, Rainer, Takano, Eriko, Glöckner, Frank Oliver, Medema, M.H., Kottmann, Renzo, Yilmaz, Pelin, Cummings, Matthew, Biggins, J.B., Blin, Kai, De Bruijn, Irene, Chooi, Yit Heng, Claesen, Jan, Coates, R.C., Cruz-Morales, Pablo, Duddela, Srikanth, Düsterhus, Stephanie, Edwards, Daniel J., Fewer, David P., Garg, Neha, Geiger, Christoph, Gomez-Escribano, Juan Pablo, Greule, Anja, Hadjithomas, Michalis, Haines, Anthony S., Helfrich, Eric J.N., Hillwig, Matthew L., Ishida, Keishi, Jones, Adam C., Jones, Carla S., Jungmann, Katrin, Kegler, Carsten, Kim, Hyun Uk, Kötter, Peter, Krug, Daniel, Masschelein, Joleen, Melnik, Alexey V., Mantovani, Simone M., Monroe, Emily A., Moore, Marcus, Moss, Nathan, Nützmann, Hans Wilhelm, Pan, Guohui, Pati, Amrita, Petras, Daniel, Reen, F.J., Rosconi, Federico, Rui, Zhe, Tian, Zhenhua, Tobias, Nicholas J., Tsunematsu, Yuta, Wiemann, Philipp, Wyckoff, Elizabeth, Yan, Xiaohui, Yim, Grace, Yu, Fengan, Xie, Yunchang, Aigle, Bertrand, Apel, Alexander K., Balibar, Carl J., Balskus, Emily P., Barona-Gómez, Francisco, Bechthold, Andreas, Bode, Helge B., Borriss, Rainer, Brady, Sean F., Brakhage, Axel A., Caffrey, Patrick, Cheng, Yi Qiang, Clardy, Jon, Cox, Russell J., De Mot, René, Donadio, Stefano, Donia, Mohamed S., Van Der Donk, Wilfred A., Dorrestein, Pieter C., Doyle, Sean, Driessen, Arnold J.M., Ehling-Schulz, Monika, Entian, Karl Dieter, Fischbach, Michael A., Gerwick, Lena, Gerwick, William H., Gross, Harald, Gust, Bertolt, Hertweck, Christian, Höfte, Monica, Jensen, Susan E., Ju, Jianhua, Katz, Leonard, Kaysser, Leonard, Klassen, Jonathan L., Keller, Nancy P., Kormanec, Jan, Kuipers, Oscar P., Kuzuyama, Tomohisa, Kyrpides, Nikos C., Kwon, Hyung Jin, Lautru, Sylvie, Lavigne, Rob, Lee, Chia Y., Linquan, Bai, Liu, Xinyu, Liu, Wen, Luzhetskyy, Andriy, Mahmud, Taifo, Mast, Yvonne, Méndez, Carmen, Metsä-Ketelä, Mikko, Micklefield, Jason, Mitchell, Douglas A., Moore, Bradley S., Moreira, Leonilde M., Müller, Rolf, Neilan, Brett A., Nett, Markus, Nielsen, Jens, O'Gara, Fergal, Oikawa, Hideaki, Osbourn, Anne, Osburne, Marcia S., Ostash, Bohdan, Payne, Shelley M., Pernodet, Jean Luc, Petricek, Miroslav, Piel, Jörn, Ploux, Olivier, Raaijmakers, Jos M., Salas, José A., Schmitt, Esther K., Scott, Barry, Seipke, Ryan F., Shen, Ben, Sherman, David H., Sivonen, Kaarina, Smanski, Michael J., Sosio, Margherita, Stegmann, Evi, Süssmuth, Roderich D., Tahlan, Kapil, Thomas, Christopher M., Tang, Yi, Truman, Andrew W., Viaud, Muriel, Walton, Jonathan D., Walsh, Christopher T., Weber, Tilmann, Van Wezel, Gilles P., Wilkinson, Barrie, Willey, Joanne M., Wohlleben, Wolfgang, Wright, Gerard D., Ziemert, Nadine, Zhang, Changsheng, Zotchev, Sergey B., Breitling, Rainer, Takano, Eriko, and Glöckner, Frank Oliver

Abstract

A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.

Published
2015

7. antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters

Author

Weber, Tilmann, Blin, Kai, Duddela, Srikanth, Krug, Daniel, Kim, Hyun Uk, Bruccoleri, Robert, Lee, Sang Yup, Fischbach, Michael A., Müller, Rolf, Wohlleben, Wolfgang, Weber, Tilmann, Blin, Kai, Duddela, Srikanth, Krug, Daniel, Kim, Hyun Uk, Bruccoleri, Robert, Lee, Sang Yup, Fischbach, Michael A., Müller, Rolf, and Wohlleben, Wolfgang

Abstract

Microbial secondary metabolism constitutes a rich source of antibiotics, chemotherapeutics, insecticides and other high-value chemicals. Genome mining of gene clusters that encode the biosynthetic pathways for these metabolites has become a key methodology for novel compound discovery. In 2011, we introduced antiSMASH, a web server and stand-alone tool for the automatic genomic identification and analysis of biosynthetic gene clusters, available at http://antismash.secondarymetabolites.org. Here, we present version 3.0 of antiSMASH, which has undergone major improvements. A full integration of the recently published ClusterFinder algorithm now allows using this probabilistic algorithm to detect putative gene clusters of unknown types. Also, a new dereplication variant of the ClusterBlast module now identifies similarities of identified clusters to any of 1172 clusters with known end products. At the enzyme level, active sites of key biosynthetic enzymes are now pinpointed through a curated pattern-matching procedure and Enzyme Commission numbers are assigned to functionally classify all enzyme-coding genes. Additionally, chemical structure prediction has been improved by incorporating polyketide reduction states. Finally, in order for users to be able to organize and analyze multiple antiSMASH outputs in a private setting, a new XML output module allows offline editing of antiSMASH annotations within the Geneious software.

Published
2015

8. antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters

Author

Weber, Tilmann, primary, Blin, Kai, additional, Duddela, Srikanth, additional, Krug, Daniel, additional, Kim, Hyun Uk, additional, Bruccoleri, Robert, additional, Lee, Sang Yup, additional, Fischbach, Michael A., additional, Müller, Rolf, additional, Wohlleben, Wolfgang, additional, Breitling, Rainer, additional, Takano, Eriko, additional, and Medema, Marnix H., additional

Published
2015
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10. A bioinformatics approach for conceptual genome mining

Author

Duddela, Srikanth

Abstract

Recent advances in sequencing technology have set the stage for a steadily growing number of microbial whole-genome sequences. At the same time, bioinformatic analysis increasingly sheds light on the genome-encoded capacity of certain microorganisms for the production of secondary metabolites. This work describes the development of a bioinformatic toolkit to underpin discovery and dereplication efforts in a genomics-based workflow aimed at the characterization of multimodular biosynthetic gene clusters from bacterial genomes. Key to the “conceptual genome mining” approach implemented here is the comparison of pathways architectures represented by arrangement and properties of domains in complex PKS-, NRPS- and hybrid pathways rather than resorting to DNA- or protein-level sequence similarity. The new analysis framework named BiosynML toolkit was interfaced to antiSMASH, the de-facto standard for automatic annotation of biosynthetic pathways, and integrated with an existing in-house research database system (Mxbase). BiosynML methods were tested using 42 characterized pathways from 71 myxobacterial genomes and also applied to publicly accessible genomes from relevant microbial taxa. BiosynML tools were ultimately used to create an overview of 1347 pathways of which 783 distinct models were identified. This analysis revealed minimal overlap between suborders and enabled the tentative estimation of myxobacterial secondary metabolite gene cluster richness.

Published
2015

11. Minimum Information about a Biosynthetic Gene cluster.

Author

Medema MH, Kottmann R, Yilmaz P, Cummings M, Biggins JB, Blin K, de Bruijn I, Chooi YH, Claesen J, Coates RC, Cruz-Morales P, Duddela S, Düsterhus S, Edwards DJ, Fewer DP, Garg N, Geiger C, Gomez-Escribano JP, Greule A, Hadjithomas M, Haines AS, Helfrich EJ, Hillwig ML, Ishida K, Jones AC, Jones CS, Jungmann K, Kegler C, Kim HU, Kötter P, Krug D, Masschelein J, Melnik AV, Mantovani SM, Monroe EA, Moore M, Moss N, Nützmann HW, Pan G, Pati A, Petras D, Reen FJ, Rosconi F, Rui Z, Tian Z, Tobias NJ, Tsunematsu Y, Wiemann P, Wyckoff E, Yan X, Yim G, Yu F, Xie Y, Aigle B, Apel AK, Balibar CJ, Balskus EP, Barona-Gómez F, Bechthold A, Bode HB, Borriss R, Brady SF, Brakhage AA, Caffrey P, Cheng YQ, Clardy J, Cox RJ, De Mot R, Donadio S, Donia MS, van der Donk WA, Dorrestein PC, Doyle S, Driessen AJ, Ehling-Schulz M, Entian KD, Fischbach MA, Gerwick L, Gerwick WH, Gross H, Gust B, Hertweck C, Höfte M, Jensen SE, Ju J, Katz L, Kaysser L, Klassen JL, Keller NP, Kormanec J, Kuipers OP, Kuzuyama T, Kyrpides NC, Kwon HJ, Lautru S, Lavigne R, Lee CY, Linquan B, Liu X, Liu W, Luzhetskyy A, Mahmud T, Mast Y, Méndez C, Metsä-Ketelä M, Micklefield J, Mitchell DA, Moore BS, Moreira LM, Müller R, Neilan BA, Nett M, Nielsen J, O'Gara F, Oikawa H, Osbourn A, Osburne MS, Ostash B, Payne SM, Pernodet JL, Petricek M, Piel J, Ploux O, Raaijmakers JM, Salas JA, Schmitt EK, Scott B, Seipke RF, Shen B, Sherman DH, Sivonen K, Smanski MJ, Sosio M, Stegmann E, Süssmuth RD, Tahlan K, Thomas CM, Tang Y, Truman AW, Viaud M, Walton JD, Walsh CT, Weber T, van Wezel GP, Wilkinson B, Willey JM, Wohlleben W, Wright GD, Ziemert N, Zhang C, Zotchev SB, Breitling R, Takano E, and Glöckner FO

Subjects
Alkaloids biosynthesis, Bacteria metabolism, Databases, Genetic, Fungi metabolism, Genetic Markers, International Cooperation, Metagenome, Peptide Biosynthesis, Nucleic Acid-Independent, Peptides metabolism, Plants metabolism, Polyketides metabolism, Polysaccharides biosynthesis, Terminology as Topic, Terpenes metabolism, Bacteria genetics, Computational Biology standards, Fungi genetics, Multigene Family, Plants genetics, Protein Biosynthesis
Published
2015
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