Comprehensive lung microbial gene and genome catalogs assist the mechanism survey of Mesomycoplasma hyopneumoniae strains causing pig lung lesions

Jingquan Li , Fei Huang , Yunyan Zhou , Tao Huang , Xinkai Tong , Mingpeng Zhang , Jiaqi Chen , Zhou Zhang , Huipeng Du , Zifeng Liu , Meng Zhou , Yiwen Xiahou , Huashui Ai , Congying Chen , Lusheng Huang

iMeta ›› 2024, Vol. 3 ›› Issue (6) : e258

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iMeta ›› 2024, Vol. 3 ›› Issue (6) :e258 DOI: 10.1002/imt2.258
RESEARCH ARTICLE
Comprehensive lung microbial gene and genome catalogs assist the mechanism survey of Mesomycoplasma hyopneumoniae strains causing pig lung lesions
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Abstract

Understanding the community structure of the lower respiratory tract microbiome is crucial for elucidating its roles in respiratory tract diseases. However, there are few studies about this topic due to the difficulty in obtaining microbial samples from both healthy and disease individuals. Here, using 744 high-depth metagenomic sequencing data of lower respiratory tract microbial samples from 675 well-phenotyped pigs, we constructed a lung microbial gene catalog containing the largest scale of 10,031,593 nonredundant genes to date, 44.8% of which are novel. We obtained 356 metagenome-assembled genomes (MAGs) which were further clustered into 256 species-level genome bins with 41.8% being first reported in the current databases. Based on these data sets and through integrated analysis of the isolation of the related bacterial strains, in vitro infection, and RNA sequencing, we identified and confirmed that Mesomycoplasma hyopneumoniae (M. hyopneumoniae) MAG_47 and its adhesion-related virulence factors (VFs) were associated with lung lesions in pigs. Differential expression levels of adhesion- and immunomodulation-related VFs likely determined the heterogenicity of adhesion and pathogenicity among M. hyopneumoniae strains. M. hyopneumoniae adhesion activated several pathways, including nuclear factor kappa-light-chain-enhancer of activated B, mitogen-activated protein kinase, cell apoptosis, T helper 1 and T helper 2 cell differentiation, tumor necrosis factor signaling, interleukin-6/janus kinase 2/signal transducer and activator of transcription signaling, and response to reactive oxygen species, leading to cilium loss, epithelial cell‒cell barrier disruption, and lung tissue lesions. Finally, we observed the similar phylogenetic compositions of the lung microbiome between humans with Mycoplasma pneumoniae and pigs infected with M. hyopneumoniae. The results provided important insights into pig lower respiratory tract microbiome and its relationship with lung health.

Keywords

adhesion / lung lesions / lung microbiome / Mesomycoplasma hyopneumoniae / metagenome-assembled genomes / pig

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Jingquan Li, Fei Huang, Yunyan Zhou, Tao Huang, Xinkai Tong, Mingpeng Zhang, Jiaqi Chen, Zhou Zhang, Huipeng Du, Zifeng Liu, Meng Zhou, Yiwen Xiahou, Huashui Ai, Congying Chen, Lusheng Huang. Comprehensive lung microbial gene and genome catalogs assist the mechanism survey of Mesomycoplasma hyopneumoniae strains causing pig lung lesions. iMeta, 2024, 3(6): e258 DOI:10.1002/imt2.258

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References

[1]

Holt, Hannah R., Pablo Alarcon, Martina Velasova, Dirk U. Pfeiffer, and Barbara Wieland. 2011. “BPEX Pig Health Scheme: A Useful Monitoring System for Respiratory Disease Control in Pig Farms?” BMC Veterinary Research 7: 82. https://doi.org/10.1186/1746-6148-7-82

[2]

Meyns, Tom, Jan Van Steelant, Emily Rolly, Jeroen Dewulf, Freddy Haesebrouck, and Dominiek Maes. 2011. “A Cross-Sectional Study of Risk Factors Associated With Pulmonary Lesions in Pigs at Slaughter.” The Veterinary Journal 187: 388-392. https://doi.org/10.1016/j.tvjl.2009.12.027

[3]

Merialdi, G., M. Dottori, Paolo Bonilauri, Andrea Luppi, S. Gozio, Paolo Pozzi, B. Spaggiari, and Paolo Martelli. 2012. “Survey of Pleuritis and Pulmonary Lesions in Pigs at Abattoir With a Focus on the Extent of the Condition and Herd Risk Factors.” Veterinary Journal (London, England: 1997) 193: 234-239. https://doi.org/10.1016/j.tvjl.2011.11.009

[4]

Budden, Kurtis F., Shakti D. Shukla, Saima Firdous Rehman, Kate L. Bowerman, Simon Keely, Philip Hugenholtz, Darius P. H. Armstrong-James, et al. 2019. “Functional Effects of the Microbiota in Chronic Respiratory Disease.” The Lancet Respiratory Medicine 7: 907-920. https://doi.org/10.1016/S2213-2600(18)30510-1

[5]

Opriessnig, T., L. G. Giménez-Lirola, and P. G. Halbur. 2011. “Polymicrobial Respiratory Disease in Pigs.” Animal Health Research Reviews 12: 133-148. https://doi.org/10.1017/S1466252311000120

[6]

Charlson, Emily S., Kyle Bittinger, Andrew R. Haas, Ayannah S. Fitzgerald, Ian Frank, Anjana Yadav, Frederic D. Bushman, and Ronald G. Collman. 2011. “Topographical Continuity of Bacterial Populations in the Healthy Human Respiratory Tract.” American Journal of Respiratory and Critical Care Medicine 184: 957-963. https://doi.org/10.1164/rccm.201104-0655OC

[7]

Dai, Wenkui, Heping Wang, Qian Zhou, Dongfang Li, Xin Feng, Zhenyu Yang, Wenjian Wang, et al. 2019. “An Integrated Respiratory Microbial Gene Catalogue to Better Understand the Microbial Aetiology of Mycoplasma pneumoniae Pneumonia.” GigaScience 8: giz093. https://doi.org/10.1093/gigascience/giz093

[8]

Moran Losada, Patricia, Philippe Chouvarine, Marie Dorda, Silke Hedtfeld, Samira Mielke, Angela Schulz, Lutz Wiehlmann, and Burkhard Tümmler. 2016. “The Cystic Fibrosis Lower Airways Microbial Metagenome.” ERJ Open Research 2: 00096-2015. https://doi.org/10.1183/23120541.00096-2015

[9]

Leal Zimmer, Fernanda M. A., Jéssica Andrade Paes, Arnaldo Zaha, and Henrique Bunselmeyer Ferreira. 2020. “Pathogenicity & Virulence of Mycoplasma hyopneumoniae.” Virulence 11: 1600-1622. https://doi.org/10.1080/21505594.2020.1842659

[10]

Maes, Dominiek, Filip Boyen, Bert Devriendt, Peter Kuhnert, Artur Summerfield, and Freddy Haesebrouck. 2021. “Perspectives for Improvement of Mycoplasma hyopneumoniae Vaccines in Pigs.” Veterinary Research 52: 67. https://doi.org/10.1186/s13567-021-00941-x

[11]

Huang, Tao, Mingpeng Zhang, Xinkai Tong, Jiaqi Chen, Guorong Yan, Shaoming Fang, Yuanmei Guo, et al. 2019. “Microbial Communities in Swine Lungs and Their Association With Lung Lesions.” Microbial Biotechnology 12: 289-304. https://doi.org/10.1111/1751-7915.13353

[12]

Takeuti, Karine L., David E. S. N. de Barcellos, Anne C. de Lara, Cintia F. Kunrath, and Maria Pieters. 2017. “Detection of Mycoplasma hyopneumoniae in Naturally Infected Gilts Over Time.” Veterinary Microbiology 203: 215-220. https://doi.org/10.1016/j.vetmic.2017.03.025

[13]

Li, Zhong-Jie, Hai-Yang Zhang, Li-Li Ren, Qing-Bin Lu, Xiang Ren, Cui-Hong Zhang, Yi-Fei Wang, et al. 2021. “Etiological and Epidemiological Features of Acute Respiratory Infections in China.” Nature Communications 12: 5026. https://doi.org/10.1038/s41467-021-25120-6

[14]

Delgado, Luis Fernando, and Anders F. Andersson. 2022. “Evaluating Metagenomic Assembly Approaches for Biome-Specific Gene Catalogues.” Microbiome 10: 72. https://doi.org/10.1186/s40168-022-01259-2

[15]

Charalampous, Themoula, Gemma L. Kay, Hollian Richardson, Alp Aydin, Rossella Baldan, Christopher Jeanes, Duncan Rae, et al. 2019. “Nanopore Metagenomics Enables Rapid Clinical Diagnosis of Bacterial Lower Respiratory Infection.” Nature Biotechnology 37: 783-792. https://doi.org/10.1038/s41587-019-0156-5

[16]

Parks, Donovan H., Christian Rinke, Maria Chuvochina, Pierre-Alain Chaumeil, Ben J. Woodcroft, Paul N. Evans, Philip Hugenholtz, and Gene W. Tyson. 2017. “Recovery of Nearly 8,000 Metagenome-Assembled Genomes Substantially Expands the Tree of Life.” Nature Microbiology 2: 1533-1542. https://doi.org/10.1038/s41564-017-0012-7

[17]

Bowers, Robert M., Nikos C. Kyrpides, Ramunas Stepanauskas, Miranda Harmon-Smith, Devin Doud, T. B. K. Reddy, Frederik Schulz, et al. 2017. “Minimum Information About a Single Amplified Genome (MISAG) and a Metagenome-Assembled Genome (MIMAG) of Bacteria and Archaea.” Nature Biotechnology 35: 725-731. https://doi.org/10.1038/nbt.3893

[18]

Chaumeil, Pierre-Alain, Aaron J. Mussig, Philip Hugenholtz, and Donovan H. Parks. 2020. “GTDB-Tk: a Toolkit to Classify Genomes With the Genome Taxonomy Database.” Bioinformatics 36: 1925-1927. https://doi.org/10.1093/bioinformatics/btz848

[19]

Chen, Lihong, Dandan Zheng, Bo Liu, Jian Yang, and Qi Jin. 2016. “VFDB 2016: Hierarchical and Refined Dataset for Big Data Analysis—10 Years on.” Nucleic Acids Research 44: D694-D697. https://doi.org/10.1093/nar/gkv1239

[20]

Zhang, Mingpeng, Tao Huang, Xiaochang Huang, Xinkai Tong, Jiaqi Chen, Bin Yang, Shijun Xiao, et al. 2019. “New Insights Into Host Adaptation to Swine Respiratory Disease Revealed by Genetic Differentiation and RNA Sequencing Analyses.” Evolutionary Applications 12: 535-548. https://doi.org/10.1111/eva.12737

[21]

Prod'homme, Thomas, Martin S. Weber, Lawrence Steinman, and Scott S. Zamvil. 2006. “A Neuropeptide in Immune-Mediated Inflammation, Y?” Trends in Immunology 27: 164-167. https://doi.org/10.1016/j.it.2006.02.003

[22]

Liu, Yuxuan, Patrizia Mondello, Tatiana Erazo, Neeta Bala Tannan, Zahra Asgari, Elisa de Stanchina, Gouri Nanjangud, et al. 2018. “NOXA Genetic Amplification or Pharmacologic Induction Primes Lymphoma Cells to BCL2 Inhibitor-Induced Cell Death.” Proceedings of the National Academy of Sciences 115: 12034-12039. https://doi.org/10.1073/pnas.1806928115

[23]

Tang, Galvin Le Qian, Jolin Xiao Hui Lai, and Shazib Pervaiz. 2024. “Ubiquitin-Proteasome Pathway-Mediated Regulation of the Bcl-2 Family: Effects and Therapeutic Approaches.” Haematologica 109: 33-43. https://doi.org/10.3324/haematol.2023.283730

[24]

Ferrarini, Mariana Galvão, Scheila Gabriele Mucha, Delphine Parrot, Guillaume Meiffrein, Jose Fernando Ruggiero Bachega, Gilles Comte, Arnaldo Zaha, and Marie-France Sagot. 2018. “Hydrogen Peroxide Production and Myo-Inositol Metabolism As Important Traits for Virulence of Mycoplasma hyopneumoniae.” Molecular Microbiology 108: 683-696. https://doi.org/10.1111/mmi.13957

[25]

Li, Fa-Hong, Na Han, Yong Wang, and Qian Xu. 2018. “Gadd45a Knockdown Alleviates Oxidative Stress Through Suppressing the p38 MAPK Signaling Pathway in the Pathogenesis of Preeclampsia.” Placenta 65: 20-28. https://doi.org/10.1016/j.placenta.2018.03.007

[26]

Sonkar, Vijay K., Alicia S. Eustes, Azaj Ahmed, Melissa Jensen, Mitali V. Solanki, Jagadish Swamy, Rahul Kumar, et al. 2023. “Endogenous SOD2 (Superoxide Dismutase) Regulates Platelet-Dependent Thrombin Generation and Thrombosis During Aging.” Arteriosclerosis, Thrombosis, and Vascular Biology 43: 79-91. https://doi.org/10.1161/ATVBAHA.121.317735

[27]

Lee, Tzu-Han, David Wu, Robert Guzy, Nathan Schoettler, Ayodeji Adegunsoye, Jeffrey Mueller, and Aliya Hussein, et al. 2021. “SARS-CoV-2 Infection Reduces Krüppel-Like Factor 2 in Human Lung Autopsy.” bioRxiv . https://doi.org/10.1101/2021.01.15.426691

[28]

Xiao, Liang, Jordi Estellé, Pia Kiilerich, Yuliaxis Ramayo-Caldas, Zhongkui Xia, Qiang Feng, Suisha Liang, et al. 2016. “A Reference Gene Catalogue of the Pig Gut Microbiome.” Nature Microbiology 1: 16161. https://doi.org/10.1038/nmicrobiol.2016.161

[29]

Chen, Congying, Yunyan Zhou, Hao Fu, Xinwei Xiong, Shaoming Fang, Hui Jiang, Jinyuan Wu, et al. 2021. “Expanded Catalog of Microbial Genes and Metagenome-Assembled Genomes from the Pig Gut Microbiome.” Nature Communications 12: 1106. https://doi.org/10.1038/s41467-021-21295-0

[30]

Yi, Xinzhu, Jingyuan Gao, and Zhang Wang. 2022. “The Human Lung Microbiome—A Hidden Link Between Microbes and Human Health and Diseases.” iMeta 1: e33. https://doi.org/10.1002/imt2.33

[31]

Chang, De, Charles S. Dela Cruz, and Lokesh Sharma. 2020. “Challenges in Understanding Lung Microbiome: It Is NOT Like the Gut Microbiome.” Respirology 25: 244-245. https://doi.org/10.1111/resp.13759

[32]

Man, Wing Ho, Wouter A. A. de Steenhuijsen Piters, and Debby Bogaert. 2017. “The Microbiota of the Respiratory Tract: Gatekeeper to Respiratory Health.” Nature Reviews Microbiology 15: 259-270. https://doi.org/10.1038/nrmicro.2017.14

[33]

Sulaiman, Imran, Sheeja Schuster, and Leopoldo N. Segal. 2020. “Perspectives in Lung Microbiome Research.” Current Opinion in Microbiology 56: 24-29. https://doi.org/10.1016/j.mib.2020.06.001

[34]

Siqueira, Franciele Maboni, Esteban Pérez-Wohlfeil, Fabíola Marques Carvalho, Oswaldo Trelles, Irene Silveira Schrank, Ana Tereza Ribeiro Vasconcelos, and Arnaldo Zaha. 2017. “Microbiome Overview in Swine Lungs.” PLoS One 12: e0181503. https://doi.org/10.1371/journal.pone.0181503

[35]

Li, Zongjie, Xin Wang, Di Di, Ruyi Pan, Yun Gao, Changguang Xiao, Beibei Li, et al. 2021. “Comparative Analysis of the Pulmonary Microbiome in Healthy and Diseased Pigs.” Molecular Genetics And Genomics 296: 21-31. https://doi.org/10.1007/s00438-020-01722-5

[36]

McCumber, Alexander W., Yeon Ji Kim, Omoanghe Samuel Isikhuemhen, Robert M. Tighe, and Claudia K. Gunsch. 2021. “The Environment Shapes Swine Lung Bacterial Communities.” Science of The Total Environment 758: 143623. https://doi.org/10.1016/j.scitotenv.2020.143623

[37]

Karcher, Nicolai, Edoardo Pasolli, Francesco Asnicar, Kun D. Huang, Adrian Tett, Serena Manara, Federica Armanini, et al. 2020. “Analysis of 1321 Eubacterium Rectale Genomes From Metagenomes Uncovers Complex Phylogeographic Population Structure and Subspecies Functional Adaptations.” Genome Biology 21: 138. https://doi.org/10.1186/s13059-020-02042-y

[38]

Assao, Viviane Sisdelli, Thalita Moreira Scatamburlo, Elaine Nery Araujo, Marcus Rebouças Santos, Carlos Eduardo Real Pereira, Roberto Maurício Carvalho Guedes, Gustavo Costa Bressan, et al. 2019. “Genetic Variation of Mycoplasma hyopneumoniae from Brazilian Field Samples.” BMC Microbiology 19: 234. https://doi.org/10.1186/s12866-019-1603-7

[39]

Leitão, Jorge H. 2020. “Microbial Virulence Factors.” International Journal of Molecular Sciences 21: 5320. https://doi.org/10.3390/ijms21155320

[40]

Ferrarini, Mariana G., Franciele M. Siqueira, Scheila G. Mucha, Tony L. Palama, Élodie Jobard, Bénédicte Elena-Herrmann, Ana T. R. Vasconcelos, et al. 2016. “Insights on the Virulence of Swine Respiratory Tract Mycoplasmas Through Genome-Scale Metabolic Modeling.” BMC Genomics 17: 353. https://doi.org/10.1186/s12864-016-2644-z

[41]

Vilei, Edy M., and Joachim Frey. 2001. “Genetic and Biochemical Characterization of Glycerol Uptake in Mycoplasma Mycoides Subsp.Mycoides SC: Its Impact on H2O2Production and Virulence.” Clinical Diagnostic Laboratory Immunology 8: 85-92. https://doi.org/10.1128/cdli.8.1.85-92.2001

[42]

Paz-Sánchez, Yania, Pedro Herráez, Óscar Quesada-Canales, Carlos G. Poveda, Josué Díaz-Delgado, María del Pino Quintana-Montesdeoca, Elena Plamenova Stefanova, and Marisa Andrada. 2021. “Assessment of Lung Disease in Finishing Pigs at Slaughter: Pulmonary Lesions and Implications on Productivity Parameters.” Animals 11: 3604. https://doi.org/10.3390/ani11123604

[43]

Chen, Shifu, Yanqing Zhou, Yaru Chen, and Jia Gu. 2018. “Fastp: an Ultra-Fast All-In-One FASTQ Preprocessor.” Bioinformatics 34: i884-i890. https://doi.org/10.1093/bioinformatics/bty560

[44]

Langmead, Ben, and Steven L. Salzberg. 2012. “Fast Gapped-Read Alignment With Bowtie 2.” Nature Methods 9: 357-359. https://doi.org/10.1038/nmeth.1923

[45]

Li, Dinghua, Chi-Man Liu, Ruibang Luo, Kunihiko Sadakane, and Tak-Wah Lam. 2015. “MEGAHIT: an Ultra-Fast Single-Node Solution for Large and Complex Metagenomics Assembly Via Succinct De Bruijn Graph.” Bioinformatics 31: 1674-1676. https://doi.org/10.1093/bioinformatics/btv033

[46]

Hyatt, Doug, Gwo-Liang Chen, Philip F. LoCascio, Miriam L. Land, Frank W. Larimer, and Loren J. Hauser. 2010. “Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification.” BMC Bioinformatics 11: 119. https://doi.org/10.1186/1471-2105-11-119

[47]

Fu, Limin, Beifang Niu, Zhengwei Zhu, Sitao Wu, and Weizhong Li. 2012. “CD-HIT: Accelerated for Clustering the Next-Generation Sequencing Data.” Bioinformatics 28: 3150-3152. https://doi.org/10.1093/bioinformatics/bts565

[48]

Buchfink, Benjamin, Klaus Reuter, and Hajk-Georg Drost. 2021. “Sensitive Protein Alignments at Tree-Of-Life Scale Using DIAMOND.” Nature Methods 18: 366-368. https://doi.org/10.1038/s41592-021-01101-x

[49]

Kahlke, Tim, and Peter J. Ralph. 2019. “BASTA—Taxonomic Classification of Sequences and Sequence Bins Using Last Common Ancestor Estimations.” Methods in Ecology and Evolution 10: 100-103. https://doi.org/10.1111/2041-210X.13095

[50]

Cantalapiedra, Carlos P., Ana Hernández-Plaza, Ivica Letunic, Peer Bork, and Jaime Huerta-Cepas. 2021. “eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale.” Molecular Biology and Evolution 38: 5825-5829. https://doi.org/10.1093/molbev/msab293

[51]

Bu, Dechao, Haitao Luo, Peipei Huo, Zhihao Wang, Shan Zhang, Zihao He, Yang Wu, et al. 2021. “KOBAS-I: Intelligent Prioritization and Exploratory Visualization of Biological Functions for Gene Enrichment Analysis.” Nucleic Acids Research 49: W317-W325. https://doi.org/10.1093/nar/gkab447

[52]

Mistry, Jaina, Robert D. Finn, Sean R. Eddy, Alex Bateman, and Marco Punta. 2013. “Challenges in Homology Search: HMMER3 and Convergent Evolution of Coiled-Coil Regions.” Nucleic Acids Research 41: e121e121. https://doi.org/10.1093/nar/gkt263

[53]

Altschul, Stephen F., Warren Gish, Webb Miller, Eugene W. Myers, and David J. Lipman. 1990. “Basic Local Alignment Search Tool.” Journal of Molecular Biology 215: 403-410. https://doi.org/10.1016/S0022-2836(05)80360-2

[54]

Li, Junhua, Huijue Jia, Xianghang Cai, Huanzi Zhong, Qiang Feng, Shinichi Sunagawa, Manimozhiyan Arumugam, et al. 2014. “An Integrated Catalog of Reference Genes in the Human Gut Microbiome.” Nature Biotechnology 32: 834-841. https://doi.org/10.1038/nbt.2942

[55]

Kang, Dongwan D., Feng Li, Edward Kirton, Ashleigh Thomas, Rob Egan, Hong An, and Zhong Wang. 2019. “MetaBAT 2: an Adaptive Binning Algorithm for Robust and Efficient Genome Reconstruction From Metagenome Assemblies.” PeerJ 7: e7359. https://doi.org/10.7717/peerj.7359

[56]

Wu, Yu-Wei, Blake A. Simmons, and Steven W. Singer. 2016. “MaxBin 2.0: an Automated Binning Algorithm to Recover Genomes From Multiple Metagenomic Datasets.” Bioinformatics 32: 605-607. https://doi.org/10.1093/bioinformatics/btv638

[57]

Alneberg, Johannes, Brynjar Smári Bjarnason, Ino de Bruijn, Melanie Schirmer, Joshua Quick, Umer Z. Ijaz, Leo Lahti, et al. 2014. “Binning Metagenomic Contigs by Coverage and Composition.” Nature Methods 11: 1144-1146. https://doi.org/10.1038/nmeth.3103

[58]

Uritskiy, Gherman V., Jocelyne DiRuggiero, and James Taylor. 2018. “MetaWRAP—a Flexible Pipeline for Genome-Resolved Metagenomic Data Analysis.” Microbiome 6: 158. https://doi.org/10.1186/s40168-018-0541-1

[59]

Parks, Donovan H., Michael Imelfort, Connor T. Skennerton, Philip Hugenholtz, and Gene W. Tyson. 2015. “CheckM: Assessing the Quality of Microbial Genomes Recovered From Isolates, Single Cells, and Metagenomes.” Genome Research 25: 1043-1055. https://doi.org/10.1101/gr.186072.114

[60]

Nurk, Sergey, Dmitry Meleshko, Anton Korobeynikov, and Pavel A. Pevzner. 2017. “metaSPAdes: a New Versatile Metagenomic Assembler.” Genome Research 27: 824-834. https://doi.org/10.1101/gr.213959.116

[61]

Nissen, Jakob Nybo, Joachim Johansen, Rosa Lundbye Allesøe, Casper Kaae Sønderby, Jose Juan Almagro Armenteros, Christopher Heje Grønbech, Lars Juhl Jensen, et al. 2021. “Improved Metagenome Binning and Assembly Using Deep Variational Autoencoders.” Nature Biotechnology 39: 555-560. https://doi.org/10.1038/s41587-020-00777-4

[62]

Olm, Matthew R., Christopher T. Brown, Brandon Brooks, and Jillian F. Banfield. 2017. “dRep: a Tool for Fast and Accurate Genomic Comparisons That Enables Improved Genome Recovery From Metagenomes Through De-Replication.” The ISME Journal 11: 2864-2868. https://doi.org/10.1038/ismej.2017.126

[63]

Pasolli, Edoardo, Francesco Asnicar, Serena Manara, Moreno Zolfo, Nicolai Karcher, Federica Armanini, and Francesco Beghini, et al. 2019. “Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes From Metagenomes Spanning Age, Geography, and Lifestyle.” Cell 176: 649-662.e20. https://doi.org/10.1016/j.cell.2019.01.001

[64]

Seemann, Torsten. 2014. “Prokka: Rapid Prokaryotic Genome Annotation.” Bioinformatics 30: 2068-2069. https://doi.org/10.1093/bioinformatics/btu153

[65]

Li, Heng, and Richard Durbin. 2009. “Fast and Accurate Short Read Alignment With Burrows-Wheeler Transform.” Bioinformatics 25: 1754-1760. https://doi.org/10.1093/bioinformatics/btp324

[66]

Li, Heng, Bob Handsaker, Alec Wysoker, Tim Fennell, Jue Ruan, Nils Homer, Gabor Marth, Goncalo Abecasis, and Richard Durbin, Subgroup Genome Project Data Processing. 2009. “The Sequence Alignment/Map Format and SAMtools.” Bioinformatics 25: 2078-2079. https://doi.org/10.1093/bioinformatics/btp352

[67]

Liao, Yang, Gordon K. Smyth, and Wei Shi. 2014. “Featurecounts: an Efficient General Purpose Program for Assigning Sequence Reads to Genomic Features.” Bioinformatics 30: 923-930. https://doi.org/10.1093/bioinformatics/btt656

[68]

Kolmogorov, Mikhail, Derek M. Bickhart, Bahar Behsaz, Alexey Gurevich, Mikhail Rayko, Sung Bong Shin, Kristen Kuhn, et al. 2020. “metaFlye: Scalable Long-Read Metagenome Assembly Using Repeat Graphs.” Nature Methods 17: 1103-1110. https://doi.org/10.1038/s41592-020-00971-x

[69]

Feng, Xiaowen, Haoyu Cheng, Daniel Portik, and Heng Li. 2022. “Metagenome Assembly of High-Fidelity Long Reads with Hifiasm-Meta.” Nature Methods 19: 671-674. https://doi.org/10.1038/s41592-022-01478-3

[70]

Asnicar, Francesco, Andrew Maltez Thomas, Francesco Beghini, Claudia Mengoni, Serena Manara, Paolo Manghi, Qiyun Zhu, et al. 2020. “Precise Phylogenetic Analysis of Microbial Isolates and Genomes From Metagenomes Using PhyloPhlAn 3.0.” Nature Communications 11: 2500. https://doi.org/10.1038/s41467-020-16366-7

[71]

Page, Andrew J., Carla A. Cummins, Martin Hunt, Vanessa K. Wong, Sandra Reuter, Matthew T. G. Holden, Maria Fookes, et al. 2015. “Roary: Rapid Large-Scale Prokaryote Pan Genome Analysis.” Bioinformatics 31: 3691-3693. https://doi.org/10.1093/bioinformatics/btv421

[72]

Letunic, Ivica, and Peer Bork. 2021. “Interactive Tree of Life (iTOL) v5: an Online Tool for Phylogenetic Tree Display and Annotation.” Nucleic Acids Research 49: W293-W296. https://doi.org/10.1093/nar/gkab301

[73]

Asnicar, Francesco, George Weingart, Timothy L. Tickle, Curtis Huttenhower, and Nicola Segata. 2015. “Compact Graphical Representation of Phylogenetic Data and Metadata with GraPhlAn.” PeerJ 3: e1029. https://doi.org/10.7717/peerj.1029

[74]

Cheng, L., T. R. Connor, J. Siren, D. M. Aanensen, and J. Corander. 2013. “Hierarchical and Spatially Explicit Clustering of DNA Sequences With BAPS Software.” Molecular Biology and Evolution 30: 1224-1228. https://doi.org/10.1093/molbev/mst028

[75]

Tonkin-Hill, Gerry, John A. Lees, Stephen D. Bentley, Simon D. W. Frost, and Jukka Corander. 2018. “RhierBAPS: an R Implementation of the Population Clustering Algorithm hierBAPS.” Wellcome Open Research 3: 93. https://doi.org/10.12688/wellcomeopenres.14694.1

[76]

Jain, Chirag, Luis M. Rodriguez-R, Adam M. Phillippy, Konstantinos T. Konstantinidis, and Srinivas Aluru. 2018. “High Throughput ANI Analysis of 90K Prokaryotic Genomes Reveals Clear Species Boundaries.” Nature Communications 9: 5114. https://doi.org/10.1038/s41467-018-07641-9

[77]

Wang, Haiyan, Zhenzhen Zhang, Xing Xie, Beibei Liu, Yanna Wei, Yuan Gan, Ting Yuan, et al. 2020. “Paracellular Pathway-Mediated Mycoplasma hyopneumoniae Migration Across Porcine Airway Epithelial Barrier Under Air-Liquid Interface Conditions.” Infection and Immunity 88: e00470-20. https://doi.org/10.1128/iai.00470-20

[78]

Young, Theresa F., Eileen L. Thacker, Barbara Z. Erickson, and Richard F. Ross. 2000. “A Tissue Culture System to Study Respiratory Ciliary Epithelial Adherence of Selected Swine Mycoplasmas.” Veterinary Microbiology 71: 269-279. https://doi.org/10.1016/S0378-1135(99)00176-5

[79]

Wang, Haiyan, Lina He, Beibei Liu, Yanyan Feng, Hao Zhou, Zhenzhen Zhang, Yuzi Wu, et al. 2018. “Establishment and Comparison of Air-Liquid Interface Culture Systems for Primary and Immortalized Swine Tracheal Epithelial Cells.” BMC Cell Biology 19: 10. https://doi.org/10.1186/s12860-018-0162-3

[80]

Meng, Fandan, Nai-Huei Wu, Maren Seitz, Georg Herrler, and Peter Valentin-Weigand. 2016. “Efficient Suilysin-Mediated Invasion and Apoptosis in Porcine Respiratory Epithelial Cells After Streptococcal Infection Under Air-Liquid Interface Conditions.” Scientific Reports 6: 26748. https://doi.org/10.1038/srep26748

[81]

Wu, Yuzi, Yanfei Yu, Lizhong Hua, Yanna Wei, Yuan Gan, Hafizah Yousuf Chenia, Yixuan Wang, et al. 2022. “Genotyping and Biofilm Formation of Mycoplasma Hyopneumoniae and Their Association With Virulence.” Veterinary Research 53: 95. https://doi.org/10.1186/s13567-022-01109-x

[82]

Kopylova, Evguenia, Laurent Noé, and Hélène Touzet. 2012. “SortMeRNA: Fast and Accurate Filtering of Ribosomal RNAs in Metatranscriptomic Data.” Bioinformatics 28: 3211-3217. https://doi.org/10.1093/bioinformatics/bts611

[83]

Dobin, Alexander, Carrie A. Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson, and Thomas R. Gingeras. 2013. “STAR: Ultrafast Universal RNA-seq Aligner.” Bioinformatics 29: 15-21. https://doi.org/10.1093/bioinformatics/bts635

[84]

Pertea, Mihaela, Geo M. Pertea, Corina M. Antonescu, Tsung-Cheng Chang, Joshua T. Mendell, and Steven L. Salzberg. 2015. “StringTie Enables Improved Reconstruction of a Transcriptome From RNA-seq Reads.” Nature Biotechnology 33: 290-295. https://doi.org/10.1038/nbt.3122

[85]

Love, Michael I., Wolfgang Huber, and Simon Anders. 2014. “Moderated Estimation of Fold Change and Dispersion for RNA-seq Data With DESeq. 2.” Genome Biology 15: 550. https://doi.org/10.1186/s13059-014-0550-8

[86]

Bindea, Gabriela, Bernhard Mlecnik, Hubert Hackl, Pornpimol Charoentong, Marie Tosolini, Amos Kirilovsky, Wolf-Herman Fridman, et al. 2009. “ClueGO: a Cytoscape Plug-In to Decipher Functionally Grouped Gene Ontology and Pathway Annotation Networks.” Bioinformatics 25: 1091-1093. https://doi.org/10.1093/bioinformatics/btp101

[87]

Segata, Nicola, Jacques Izard, Levi Waldron, Dirk Gevers, Larisa Miropolsky, Wendy S. Garrett, and Curtis Huttenhower. 2011. “Metagenomic Biomarker Discovery and Explanation.” Genome Biology 12: R60. https://doi.org/10.1186/gb-2011-12-6-r60

[88]

Dixon, Philip. 2003. “VEGAN, a Package of R Functions for Community Ecology.” Journal of Vegetation Science 14: 927-930. https://doi.org/10.1111/j.1654-1103.2003.tb02228.x

[89]

Shannon, Paul, Andrew Markiel, Owen Ozier, Nitin S. Baliga, Jonathan T. Wang, Daniel Ramage, Nada Amin, Benno Schwikowski, and Trey Ideker. 2003. Cytoscape: a Software Environment for Integrated Models of Biomolecular Interaction Networks.” Genome Research 13: 2498-2504. https://doi.org/10.1101/gr.1239303

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