Long-read sequencing sheds light on key bacteria contributing to deadwood decomposition processes

. 2024 Dec 03 ; 19 (1) : 99. [epub] 20241203

Status PubMed-not-MEDLINE Jazyk angličtina Země Anglie, Velká Británie Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid39627869

Grantová podpora
CZ.02.01.01/00/22_008/0004635 Ministry of Education, Youth and Sports of the Czech Republic

Odkazy

PubMed 39627869
PubMed Central PMC11613949
DOI 10.1186/s40793-024-00639-5
PII: 10.1186/s40793-024-00639-5
Knihovny.cz E-zdroje

BACKGROUND: Deadwood decomposition is an essential ecological process in forest ecosystems, playing a key role in nutrient cycling and carbon sequestration by enriching soils with organic matter. This process is driven by diverse microbial communities encompassing specialized functions in breaking down organic matter, but the specific roles of individual microorganisms in this process are still not fully understood. RESULTS: Here, we characterized the deadwood microbiome in a natural mixed temperate forest in Central Europe using PacBio HiFi long-read sequencing and a genome-resolved transcriptomics approach in order to uncover key microbial contributors to wood decomposition. We obtained high quality assemblies, which allowed attribution of complex microbial functions such as nitrogen fixation to individual microbial taxa and enabled the recovery of metagenome-assembled genomes (MAGs) from both abundant and rare deadwood bacteria. We successfully assembled 69 MAGs (including 14 high-quality and 7 single-contig genomes) from 4 samples, representing most of the abundant bacterial phyla in deadwood. The MAGs exhibited a rich diversity of carbohydrate-active enzymes (CAZymes), with Myxococcota encoding the highest number of CAZymes and the full complement of enzymes required for cellulose decomposition. For the first time we observed active nitrogen fixation by Steroidobacteraceae, as well as hemicellulose degradation and chitin recycling by Patescibacteria. Furthermore, PacBio HiFi sequencing identified over 1000 biosynthetic gene clusters, highlighting a vast potential for secondary metabolite production in deadwood, particularly in Pseudomonadota and Myxococcota. CONCLUSIONS: PacBio HiFi long-read sequencing offers comprehensive insights into deadwood decomposition processes by advancing the identification of functional features involving multiple genes. It represents a robust tool for unraveling novel microbial genomes in complex ecosystems and allows the identification of key microorganisms contributing to deadwood decomposition.

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Seibold S, Rammer W, Hothorn T, Seidl R, Ulyshen MD, Lorz J, Cadotte MW, Lindenmayer DB, Adhikari YP, Aragón R, Bae S, Baldrian P, Barimani Varandi H, Barlow J, Bässler C, Beauchêne J, Berenguer E, Bergamin RS, Birkemoe T, Boros G, Brandl R, Brustel H, Burton PJ, Cakpo-Tossou YT, Castro J, Cateau E, Cobb TP, Farwig N, Fernández RD, Firn J, Gan KS, González G, Gossner MM, Habel JC, Hébert C, Heibl C, Heikkala O, Hemp A, Hemp C, Hjältén J, Hotes S, Kouki J, Lachat T, Liu J, Liu Y, Luo Y-H, Macandog DM, Martina PE, Mukul SA, Nachin B, Nisbet K, O’Halloran J, Oxbrough A, Pandey JN, Pavlíček T, Pawson SM, Rakotondranary JS, Ramanamanjato J-B, Rossi L, Schmidl J, Schulze M, Seaton S, Stone MJ, Stork NE, Suran B, Sverdrup-Thygeson A, Thorn S, Thyagarajan G, Wardlaw TJ, Weisser WW, Yoon S, Zhang N, Müller J. The contribution of insects to global forest deadwood decomposition. Nature. 2021;597:77–81. 10.1038/s41586-021-03740-8. PubMed

Baldrian P, López-Mondéjar R, Kohout P. Forest microbiome and global change. Nat Rev Microbiol. 2023;21:487–501. 10.1038/s41579-023-00876-4. PubMed

Baldrian P. Forest microbiome: diversity, complexity and dynamics. FEMS Microbiol Rev. 2016. 10.1093/femsre/fuw040. PubMed

Johnston SR, Boddy L, Weightman AJ. Bacteria in decomposing wood and their interactions with wood-decay fungi. FEMS Microbiol Ecol. 2016;92:179. 10.1093/femsec/fiw179. PubMed

de Boer W, Folman LB, Summerbell RC, Boddy L. Living in a fungal world: impact of fungi on soil bacterial niche development. FEMS Microbiol Rev. 2005;29:795–811. 10.1016/j.femsre.2004.11.005. PubMed

Eastwood DC, Floudas D, Binder M, Majcherczyk A, Schneider P, Aerts A, Asiegbu FO, Baker SE, Barry K, Bendiksby M, Blumentritt M, Coutinho PM, Cullen D, De Vries RP, Gathman A, Goodell B, Henrissat B, Ihrmark K, Kauserud H, Kohler A, LaButti K, Lapidus A, Lavin JL, Lee Y-H, Lindquist E, Lilly W, Lucas S, Morin E, Murat C, Oguiza JA, Park J, Pisabarro AG, Riley R, Rosling A, Salamov A, Schmidt O, Schmutz J, Skrede I, Stenlid J, Wiebenga A, Xie X, Kües U, Hibbett DS, Hoffmeister D, Högberg N, Martin F, Grigoriev IV, Watkinson SC. The plant cell wall–decomposing machinery underlies the functional diversity of forest fungi. Science. 2011;333:762–5. 10.1126/science.1205411. PubMed

Rinne-Garmston KT, Peltoniemi K, Chen J, Peltoniemi M, Fritze H, Mäkipää R. Carbon flux from decomposing wood and its dependency on temperature, wood N 2 fixation rate, moisture and fungal composition in a Norway spruce forest. Glob Change Biol. 2019;25:1852–67. 10.1111/gcb.14594. PubMed PMC

Hoppe B, Krüger D, Kahl T, Arnstadt T, Buscot F, Bauhus J, Wubet T. A pyrosequencing insight into sprawling bacterial diversity and community dynamics in decaying deadwood logs of Fagus sylvatica and Picea abies. Sci Rep. 2015;5:9456. 10.1038/srep09456. PubMed PMC

Tláskal V, Brabcová V, Větrovský T, Jomura M, López-Mondéjar R, Oliveira Monteiro LM, Saraiva JP, Human ZR, Cajthaml T, Nunes Da Rocha U, Baldrian P. Complementary roles of wood-inhabiting fungi and bacteria facilitate deadwood decomposition. mSystems. 2021;6:e01078-20. 10.1128/mSystems.01078-20. PubMed PMC

Tláskal V, Brabcová V, Větrovský T, López-Mondéjar R, Monteiro LMO, Saraiva JP, Da Rocha UN, Baldrian P. Metagenomes, metatranscriptomes and microbiomes of naturally decomposing deadwood. Sci Data. 2021;8:198. 10.1038/s41597-021-00987-8. PubMed PMC

Tláskal V, Zrůstová P, Vrška T, Baldrian P. Bacteria associated with decomposing dead wood in a natural temperate forest. FEMS Microbiol Ecol. 2017. 10.1093/femsec/fix157. PubMed

Parks DH, Rinke C, Chuvochina M, Chaumeil P-A, Woodcroft BJ, Evans PN, Hugenholtz P, Tyson GW. Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life. Nat Microbiol. 2017;2:1533–42. 10.1038/s41564-017-0012-7. PubMed

Bickhart DM, Kolmogorov M, Tseng E, Portik DM, Korobeynikov A, Tolstoganov I, Uritskiy G, Liachko I, Sullivan ST, Shin SB, Zorea A, Andreu VP, Panke-Buisse K, Medema MH, Mizrahi I, Pevzner PA, Smith TPL. Generating lineage-resolved, complete metagenome-assembled genomes from complex microbial communities. Nat Biotechnol. 2022;40:711–9. 10.1038/s41587-021-01130-z. PubMed

Sereika M, Kirkegaard RH, Karst SM, Michaelsen TY, Sørensen EA, Wollenberg RD, Albertsen M. Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing. Nat Methods. 2022;19:823–6. 10.1038/s41592-022-01539-7. PubMed PMC

Tláskal V, Baldrian P. Deadwood-inhabiting bacteria show adaptations to changing carbon and nitrogen availability during decomposition. Front Microbiol. 2021;12: 685303. 10.3389/fmicb.2021.685303. PubMed PMC

Pebesma E. Simple features for R: standardized support for spatial vector data. R J. 2018;10:439. 10.32614/RJ-2018-009.

Sagova-Mareckova M, Cermak L, Novotna J, Plhackova K, Forstova J, Kopecky J. Innovative methods for soil DNA purification tested in soils with widely differing characteristics. Appl Environ Microbiol. 2008;74:2902–7. 10.1128/AEM.02161-07. PubMed PMC

Buchfink B, Reuter K, Drost H-G. Sensitive protein alignments at tree-of-life scale using DIAMOND. Nat Methods. 2021;18:366–8. 10.1038/s41592-021-01101-x. PubMed PMC

Huson DH, Beier S, Flade I, Górska A, El-Hadidi M, Mitra S, Ruscheweyh H-J, Tappu R. MEGAN community edition—interactive exploration and analysis of large-scale microbiome sequencing data. PLOS Comput Biol. 2016;12:e1004957. 10.1371/journal.pcbi.1004957. PubMed PMC

Feng X, Cheng H, Portik D, Li H. Metagenome assembly of high-fidelity long reads with hifiasm-meta. Nat Methods. 2022;19:671–4. 10.1038/s41592-022-01478-3. PubMed PMC

Kolmogorov M, Bickhart DM, Behsaz B, Gurevich A, Rayko M, Shin SB, Kuhn K, Yuan J, Polevikov E, Smith TPL, Pevzner PA. metaFlye: scalable long-read metagenome assembly using repeat graphs. Nat Methods. 2020;17:1103–10. 10.1038/s41592-020-00971-x. PubMed PMC

Kim CY, Ma J, Lee I. HiFi metagenomic sequencing enables assembly of accurate and complete genomes from human gut microbiota. Nat Commun. 2022;13:6367. 10.1038/s41467-022-34149-0. PubMed PMC

Rho M, Tang H, Ye Y. FragGeneScan: predicting genes in short and error-prone reads. Nucleic Acids Res. 2010;38:e191–e191. 10.1093/nar/gkq747. PubMed PMC

Uritskiy GV, DiRuggiero J, Taylor J. MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis. Microbiome. 2018;6:158. 10.1186/s40168-018-0541-1. PubMed PMC

Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25:1043–55. 10.1101/gr.186072.114. PubMed PMC

Shen W, Le S, Li Y, Hu F (2016) SeqKit: a cross-platform and ultrafast toolkit for FASTA/Q file manipulation. Plos One 11(10):e0163962. 10.1371/journal.pone.0163962 PubMed PMC

Olm MR, Brown CT, Brooks B, Banfield JF. dRep: a tool for fast and accurate genomic comparisons that enables improved genome recovery from metagenomes through de-replication. ISME J. 2017;11:2864–8. 10.1038/ismej.2017.126. PubMed PMC

Ondov BD, Treangen TJ, Melsted P, Mallonee AB, Bergman NH, Koren S, Phillippy AM. Mash: fast genome and metagenome distance estimation using MinHash. Genome Biol. 2016;17:132. 10.1186/s13059-016-0997-x. PubMed PMC

Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci. 2009;106:19126–31. 10.1073/pnas.0906412106. PubMed PMC

Chaumeil P-A, Mussig AJ, Hugenholtz P, Parks DH. GTDB-Tk: a toolkit to classify genomes with the genome taxonomy database. Bioinformatics. 2019. 10.1093/bioinformatics/btz848. PubMed PMC

Chklovski A, Parks DH, Woodcroft BJ, Tyson GW. CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning. Nat Methods. 2023;20:1203–12. 10.1038/s41592-023-01940-w. PubMed

Shaffer M, Borton MA, McGivern BB, Zayed AA, La Rosa SL, Solden LM, Liu P, Narrowe AB, Rodríguez-Ramos J, Bolduc B, Gazitúa MC, Daly RA, Smith GJ, Vik DR, Pope PB, Sullivan MB, Roux S, Wrighton KC. DRAM for distilling microbial metabolism to automate the curation of microbiome function. Nucleic Acids Res. 2020;48:8883–900. 10.1093/nar/gkaa621. PubMed PMC

Aroney STN, Newell RJP, Nissen J, Camargo AP, Tyson GW, Woodcroft BJ. CoverM: read coverage calculator for metagenomics; 2024. 10.5281/ZENODO.10531253

Orakov A, Fullam A, Coelho LP, Khedkar S, Szklarczyk D, Mende DR, Schmidt TSB, Bork P. GUNC: detection of chimerism and contamination in prokaryotic genomes. Genome Biol. 2021;22:178. 10.1186/s13059-021-02393-0. PubMed PMC

Větrovský T, Baldrian P, Morais D. SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses. Bioinformatics. 2018;34:2292–4. 10.1093/bioinformatics/bty071. PubMed PMC

Richy E, Fort T, Odriozola I, Kohout P, Barbi F, Martinovic T, Tupek B, Adamczyk B, Lehtonen A, Mäkipää R, Baldrian P. Phosphorus limitation promotes soil carbon storage in a boreal forest exposed to long-term nitrogen fertilization. Glob Change Biol. 2024;30: e17516. 10.1111/gcb.17516. PubMed

Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26:2460–1. 10.1093/bioinformatics/btq461. PubMed

Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods. 2013;10:996–8. 10.1038/nmeth.2604. PubMed

McMurdie PJ, Holmes S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS ONE. 2013;8: e61217. PubMed PMC

Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2012;41:D590–6. 10.1093/nar/gks1219. PubMed PMC

Marcon E, Herault B. entropart: an R package to measure and partition diversity. J Stat Softw. 2015;68:1–26.

Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–9. 10.1038/nmeth.1923. PubMed PMC

West PT, Probst AJ, Grigoriev IV, Thomas BC, Banfield JF. Genome-reconstruction for eukaryotes from complex natural microbial communities. Genome Res. 2018;28:569–80. 10.1101/gr.228429.117. PubMed PMC

Zhang H, Yohe T, Huang L, Entwistle S, Wu P, Yang Z, Busk PK, Xu Y, Yin Y. dbCAN2: a meta server for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 2018;46:W95–101. PubMed PMC

Finn RD, Clements J, Eddy SR. HMMER web server: interactive sequence similarity searching. Nucleic Acids Res. 2011;39:W29–37. 10.1093/nar/gkr367. PubMed PMC

Li H. New strategies to improve minimap2 alignment accuracy. Bioinformatics. 2021;37:4572–4. 10.1093/bioinformatics/btab705. PubMed PMC

Woodcroft BJ, Singleton CM, Boyd JA, Evans PN, Emerson JB, Zayed AAF, Hoelzle RD, Lamberton TO, McCalley CK, Hodgkins SB, Wilson RM, Purvine SO, Nicora CD, Li C, Frolking S, Chanton JP, Crill PM, Saleska SR, Rich VI, Tyson GW. Genome-centric view of carbon processing in thawing permafrost. Nature. 2018;560:49–54. 10.1038/s41586-018-0338-1. PubMed

Aramaki T, Blanc-Mathieu R, Endo H, Ohkubo K, Kanehisa M, Goto S, Ogata H. KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold. Bioinformatics. 2020;36:2251–2. 10.1093/bioinformatics/btz859. PubMed PMC

Besemer J. GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions. Nucleic Acids Res. 2001;29:2607–18. 10.1093/nar/29.12.2607. PubMed PMC

Cantalapiedra CP, Hernández-Plaza A, Letunic I, Bork P, Huerta-Cepas J. eggNOG-mapper v2: functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Mol Biol Evol. 2021;38:5825–9. 10.1093/molbev/msab293. PubMed PMC

Katoh K, Rozewicki J, Yamada KD. MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Brief Bioinform. 2019;20:1160–6. 10.1093/bib/bbx108. PubMed PMC

Criscuolo A, Gribaldo S. BMGE (Block Mapping and Gathering with Entropy): a new software for selection of phylogenetic informative regions from multiple sequence alignments. BMC Evol Biol. 2010;10:210. 10.1186/1471-2148-10-210. PubMed PMC

Nguyen L-T, Schmidt HA, Von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32:268–74. 10.1093/molbev/msu300. PubMed PMC

Blin K, Shaw S, Kloosterman AM, Charlop-Powers Z, van Wezel GP, Medema MH, Weber T. antiSMASH 6.0: improving cluster detection and comparison capabilities. Nucleic Acids Res. 2021;49:W29–35. 10.1093/nar/gkab335. PubMed PMC

Terlouw BR, Blin K, Navarro-Muñoz JC, Avalon NE, Chevrette MG, Egbert S, Lee S, Meijer D, Recchia MJJ, Reitz ZL, van Santen JA, Selem-Mojica N, Tørring T, Zaroubi L, Alanjary M, Aleti G, Aguilar C, Al-Salihi SAA, Augustijn HE, Avelar-Rivas JA, Avitia-Domínguez LA, Barona-Gómez F, Bernaldo-Agüero J, Bielinski VA, Biermann F, Booth TJ, Carrion Bravo VJ, Castelo-Branco R, Chagas FO, Cruz-Morales P, Du C, Duncan KR, Gavriilidou A, Gayrard D, Gutiérrez-García K, Haslinger K, Helfrich EJN, van der Hooft JJJ, Jati AP, Kalkreuter E, Kalyvas N, Kang KB, Kautsar S, Kim W, Kunjapur AM, Li Y-X, Lin G-M, Loureiro C, Louwen JJR, Louwen NLL, Lund G, Parra J, Philmus B, Pourmohsenin B, Pronk LJU, Rego A, Rex DAB, Robinson S, Rosas-Becerra LR, Roxborough ET, Schorn MA, Scobie DJ, Singh KS, Sokolova N, Tang X, Udwary D, Vigneshwari A, Vind K, Vromans SPJM, Waschulin V, Williams SE, Winter JM, Witte TE, Xie H, Yang D, Yu J, Zdouc M, Zhong Z, Collemare J, Linington RG, Weber T, Medema MH. MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters. Nucleic Acids Res. 2023;51:D603–10. 10.1093/nar/gkac1049. PubMed PMC

Navarro-Muñoz JC, Selem-Mojica N, Mullowney MW, Kautsar SA, Tryon JH, Parkinson EI, De Los Santos ELC, Yeong M, Cruz-Morales P, Abubucker S, Roeters A, Lokhorst W, Fernandez-Guerra A, Cappelini LTD, Goering AW, Thomson RJ, Metcalf WW, Kelleher NL, Barona-Gomez F, Medema MH. A computational framework to explore large-scale biosynthetic diversity. Nat Chem Biol. 2020;16:60–8. 10.1038/s41589-019-0400-9. PubMed PMC

Nayfach S, Roux S, Seshadri R, Udwary D, Varghese N, Schulz F, Wu D, Paez-Espino D, Chen I-M, Huntemann M, Palaniappan K, Ladau J, Mukherjee S, Reddy TBK, Nielsen T, Kirton E, Faria JP, Edirisinghe JN, Henry CS, Jungbluth SP, Chivian D, Dehal P, Wood-Charlson EM, Arkin AP, Tringe SG, Visel A, IMG/M Data Consortium, Abreu H, Acinas SG, Allen E, Allen MA, Alteio LV, Andersen G, Anesio AM, Attwood G, Avila-Magaña V, Badis Y, Bailey J, Baker B, Baldrian P, Barton HA, Beck DAC, Becraft ED, Beller HR, Beman JM, Bernier-Latmani R, Berry TD, Bertagnolli A, Bertilsson S, Bhatnagar JM, Bird JT, Blanchard JL, Blumer-Schuette SE, Bohannan B, Borton MA, Brady A, Brawley SH, Brodie J, Brown S, Brum JR, Brune A, Bryant DA, Buchan A, Buckley DH, Buongiorno J, Cadillo-Quiroz H, Caffrey SM, Campbell AN, Campbell B, Carr S, Carroll J, Cary SC, Cates AM, Cattolico RA, Cavicchioli R, Chistoserdova L, Coleman ML, Constant P, Conway JM, Mac Cormack WP, Crowe S, Crump B, Currie C, Daly R, DeAngelis KM, Denef V, Denman SE, Desta A, Dionisi H, Dodsworth J, Dombrowski N, Donohue T, Dopson M, Driscoll T, Dunfield P, Dupont CL, Dynarski KA, Edgcomb V, Edwards EA, Elshahed MS, Figueroa I, Flood B, Fortney N, Fortunato CS, Francis C, Gachon CMM, Garcia SL, Gazitua MC, Gentry T, Gerwick L, Gharechahi J, Girguis P, Gladden J, Gradoville M, Grasby SE, Gravuer K, Grettenberger CL, Gruninger RJ, Guo J, Habteselassie MY, Hallam SJ, Hatzenpichler R, Hausmann B, Hazen TC, Hedlund B, Henny C, Herfort L, Hernandez M, Hershey OS, Hess M, Hollister EB, Hug LA, Hunt D, Jansson J, Jarett J, Kadnikov VV, Kelly C, Kelly R, Kelly W, Kerfeld CA, Kimbrel J, Klassen JL, Konstantinidis KT, Lee LL, Li W-J, Loder AJ, Loy A, Lozada M, MacGregor B, Magnabosco C, Maria da Silva A, McKay RM, McMahon K, McSweeney CS, Medina M, Meredith L, Mizzi J, Mock T, Momper L, Moran MA, Morgan-Lang C, Moser D, Muyzer G, Myrold D, Nash M, Nesbø CL, Neumann AP, Neumann RB, Noguera D, Northen T, Norton J, Nowinski B, Nüsslein K, O’Malley MA, Oliveira RS, Maia De Oliveira V, Onstott T, Osvatic J, Ouyang Y, Pachiadaki M, Parnell J, Partida-Martinez LP, Peay KG, Pelletier D, Peng X, Pester M, Pett-Ridge J, Peura S, Pjevac P, Plominsky AM, Poehlein A, Pope PB, Ravin N, Redmond MC, Reiss R, Rich V, Rinke C, Rodrigues JLM, Rodriguez-Reillo W, Rossmassler K, Sackett J, Salekdeh GH, Saleska S, Scarborough M, Schachtman D, Schadt CW, Schrenk M, Sczyrba A, Sengupta A, Setubal JC, Shade A, Sharp C, Sherman DH, Shubenkova OV, Sierra-Garcia IN, Simister R, Simon H, Sjöling S, Slonczewski J, Correa De Souza RS, Spear JR, Stegen JC, Stepanauskas R, Stewart F, Suen G, Sullivan M, Sumner D, Swan BK, Swingley W, Tarn J, Taylor GT, Teeling H, Tekere M, Teske A, Thomas T, Thrash C, Tiedje J, Ting CS, Tully B, Tyson G, Ulloa O, Valentine DL, Van Goethem MW, VanderGheynst J, Verbeke TJ, Vollmers J, Vuillemin A, Waldo NB, Walsh DA, Weimer BC, Whitman T, Van Der Wielen P, Wilkins M, Williams TJ, Woodcroft B, Woolet J, Wrighton K, Ye J, Young EB, Youssef NH, Yu FB, Zemskaya TI, Ziels R, Woyke T, Mouncey NJ, Ivanova NN, Kyrpides NC, Eloe-Fadrosh EA. A genomic catalog of Earth’s microbiomes. Nat Biotechnol. 2021;39:499–509. 10.1038/s41587-020-0718-6. PubMed PMC

Whitworth DE, Sydney N, Radford EJ. Myxobacterial genomics and post-genomics: a review of genome biology, genome sequences and related ‘omics studies. Microorganisms. 2021;9:2143. 10.3390/microorganisms9102143. PubMed PMC

Nan B, Bandaria JN, Moghtaderi A, Sun I-H, Yildiz A, Zusman DR. Flagella stator homologs function as motors for myxobacterial gliding motility by moving in helical trajectories. Proc Natl Acad Sci. 2013. 10.1073/pnas.1219982110. PubMed PMC

Thiery S, Kaimer C. The predation strategy of Myxococcus xanthus. Front Microbiol. 2020;11:2. 10.3389/fmicb.2020.00002. PubMed PMC

Muñoz-Dorado J, Marcos-Torres FJ, García-Bravo E, Moraleda-Muñoz A, Pérez J. Myxobacteria: moving, killing, feeding, and surviving together. Front Microbiol. 2016. 10.3389/fmicb.2016.00781. PubMed PMC

López-Mondéjar R, Tláskal V, Da Rocha UN, Baldrian P. Global distribution of carbohydrate utilization potential in the prokaryotic tree of life. mSystems. 2022;7:e00829-22. 10.1128/msystems.00829-22. PubMed PMC

Wilhelm RC, Singh R, Eltis LD, Mohn WW. Bacterial contributions to delignification and lignocellulose degradation in forest soils with metagenomic and quantitative stable isotope probing. ISME J. 2019;13:413–29. 10.1038/s41396-018-0279-6. PubMed PMC

Richy E, Cabello-Yeves PJ, Hernandes-Coutinho F, Rodriguez-Valera F, González-Álvarez I, Gandois L, Rigal F, Lauga B. How microbial communities shape peatland carbon dynamics: new insights and implications. Soil Biol Biochem. 2024;191: 109345. 10.1016/j.soilbio.2024.109345.

Choi BY, Lee S, Kim J, Park H, Kim J-H, Kim M, Park S-J, Kim K-T, Ryu H, Shim D. Comparison of endophytic and epiphytic microbial communities in surviving and dead Korean fir (Abies koreana) using metagenomic sequencing. Forests. 2022;13:1932. 10.3390/f13111932.

Kuroda K, Yamamoto K, Nakai R, Hirakata Y, Kubota K, Nobu MK, Narihiro T. Symbiosis between Candidatus patescibacteria and archaea discovered in wastewater-treating bioreactors. MBio. 2022;13:e01711-e1722. 10.1128/mbio.01711-22. PubMed PMC

Wang Y, Gallagher LA, Andrade PA, Liu A, Humphreys IR, Turkarslan S, Cutler KJ, Arrieta-Ortiz ML, Li Y, Radey MC, McLean JS, Cong Q, Baker D, Baliga NS, Peterson SB, Mougous JD. Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle. Cell. 2023;186:4803-4817.e13. 10.1016/j.cell.2023.08.017. PubMed PMC

López-Mondéjar R, Brabcová V, Štursová M, Davidová A, Jansa J, Cajthaml T, Baldrian P. Decomposer food web in a deciduous forest shows high share of generalist microorganisms and importance of microbial biomass recycling. ISME J. 2018;12:1768–78. 10.1038/s41396-018-0084-2. PubMed PMC

Paul EA, Frey SD, editors. Soil microbiology, ecology, and biochemistry. 5th ed. Amsterdam: Elsevier; 2024.

Cherkasov N, Ibhadon AO, Fitzpatrick P. A review of the existing and alternative methods for greener nitrogen fixation. Chem Eng Process Process Intensif. 2015;90:24–33. 10.1016/j.cep.2015.02.004.

Burris RH, Roberts GP. Biological nitrogen fixation. Annu Rev Nutr. 1993;13:317–35. 10.1146/annurev.nu.13.070193.001533. PubMed

Davies-Barnard T, Friedlingstein P. The global distribution of biological nitrogen fixation in terrestrial natural ecosystems. Glob Biogeochem Cycles. 2020;34:e2019GB006387. 10.1029/2019GB006387.

Dos Santos PC, Fang Z, Mason SW, Setubal JC, Dixon R. Distribution of nitrogen fixation and nitrogenase-like sequences amongst microbial genomes. BMC Genomics. 2012;13:162. 10.1186/1471-2164-13-162. PubMed PMC

Zehr JP, Capone DG. Changing perspectives in marine nitrogen fixation. Science. 2020;368:eaay9514. 10.1126/science.aay9514. PubMed

Alleman AB, Garcia Costas A, Mus F, Peters JW. Rnf and fix have specific roles during aerobic nitrogen fixation in Azotobacter vinelandii. Appl Environ Microbiol. 2022;88:e01049-e1122. 10.1128/aem.01049-22. PubMed PMC

Johnson DC, Unciuleac M-C, Dean DR. Controlled expression and functional analysis of iron-sulfur cluster biosynthetic components within Azotobacter vinelandii. J Bacteriol. 2006;188:7551–61. 10.1128/JB.00596-06. PubMed PMC

Tokumoto U. Interchangeability and Distinct properties of bacterial Fe-S cluster assembly systems: functional replacement of the ISC and SUF operons in Escherichia coli with the nifSU-like operon from Helicobacter pylori. J Biochem (Tokyo). 2004;136:199–209. 10.1093/jb/mvh104. PubMed

Sharrar AM, Crits-Christoph A, Méheust R, Diamond S, Starr EP, Banfield JF. Bacterial secondary metabolite biosynthetic potential in soil varies with phylum, depth, and vegetation type. MBio. 2020;11:e00416-e420. 10.1128/mBio.00416-20. PubMed PMC

Crits-Christoph A, Diamond S, Butterfield CN, Thomas BC, Banfield JF. Novel soil bacteria possess diverse genes for secondary metabolite biosynthesis. Nature. 2018;558:440–4. 10.1038/s41586-018-0207-y. PubMed

Waschulin V, Borsetto C, James R, Newsham KK, Donadio S, Corre C, Wellington E. Biosynthetic potential of uncultured Antarctic soil bacteria revealed through long-read metagenomic sequencing. ISME J. 2022;16:101–11. 10.1038/s41396-021-01052-3. PubMed PMC

Brinkmann S, Kurz M, Patras MA, Hartwig C, Marner M, Leis B, Billion A, Kleiner Y, Bauer A, Toti L, Pöverlein C, Hammann PE, Vilcinskas A, Glaeser J, Spohn M, Schäberle TF. Genomic and chemical decryption of the bacteroidetes phylum for its potential to biosynthesize natural products. Microbiol Spectr. 2022;10:e02479-e2521. 10.1128/spectrum.02479-21. PubMed PMC

Uliano-Silva M, Ferreira JGRN, Krasheninnikova K, Darwin Tree of Life Consortium, Blaxter M, Mieszkowska N, Hall N, Holland P, Durbin R, Richards T, Kersey P, Hollingsworth P, Wilson W, Twyford A, Gaya E, Lawniczak M, Lewis O, Broad G, Martin F, Hart M, Barnes I, Formenti G, Abueg L, Torrance J, Myers EW, Durbin R, Blaxter M, McCarthy SA. MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads. BMC Bioinformatics. 2023;24:288. 10.1186/s12859-023-05385-y. PubMed PMC

Galagan JE, Henn MR, Ma L-J, Cuomo CA, Birren B. Genomics of the fungal kingdom: insights into eukaryotic biology. Genome Res. 2005;15:1620–31. 10.1101/gr.3767105. PubMed

Saraiva JP, Bartholomäus A, Toscan RB, Baldrian P, Nunes da Rocha U. Recovery of 197 eukaryotic bins reveals major challenges for eukaryote genome reconstruction from terrestrial metagenomes. Mol Ecol Resour. 2023;23:1066–76. 10.1111/1755-0998.13776. PubMed

Ma B, Lu C, Wang Y, Yu J, Zhao K, Xue R, Ren H, Lv X, Pan R, Zhang J, Zhu Y, Xu J. A genomic catalogue of soil microbiomes boosts mining of biodiversity and genetic resources. Nat Commun. 2023;14:7318. 10.1038/s41467-023-43000-z. PubMed PMC

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