Draft genome sequence of a predatory bacterium from northern peatland soil

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Predatory bacteria are abundant in soil, but their diversity and functions remain not fully understood, especially in subarctic regions. Here, we report strain 1-FT3.2, a predatory bacterium obtained from peatland soil in Northern Finland (Pallas, 68 °N). The bacterium was cultivated on Mucilaginibacter cryoferens FT3.2 as prey. Although a pure culture of strain 1-FT3.2 was not obtained, its draft genome was assembled from sequencing reads derived from the co-culture with its prey. The draft genome of 1-FT3.2 is 7.2 Mb in length and 81% complete. Genome analyses suggested that 1-FT3.2 belongs to the family Polyangiaceae (phylum Myxococcota ), which comprises predatory bacteria. The genome annotation revealed (near-)complete metabolic modules of central carbon metabolism and aerobic respiration. Two proviral regions were predicted in the draft genome, both putatively representing tailed phages of the class Caudoviricetes . Several CRISPR-Cas system proteins were also identified. The draft genome sequence could be used in future comparative studies assessing the diversity of predatory bacteria in northern soils or other environments.
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Draft genome sequence of a predatory bacterium from northern peatland soil | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Draft genome sequence of a predatory bacterium from northern peatland soil View ORCID Profile Tatiana Demina , Riina Ihonen , View ORCID Profile Minna K. Männistö , View ORCID Profile Jenni Hultman doi: https://doi.org/10.1101/2025.10.08.681201 Tatiana Demina 1 Department of Microbiology, Faculty of Agriculture and Forestry, University of Helsinki , Finland Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Tatiana Demina For correspondence: tatiana.demina{at}helsinki.fi Riina Ihonen 1 Department of Microbiology, Faculty of Agriculture and Forestry, University of Helsinki , Finland 2 Natural Resources Institute Finland (Luke) , Finland Find this author on Google Scholar Find this author on PubMed Search for this author on this site Minna K. Männistö 2 Natural Resources Institute Finland (Luke) , Finland Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Minna K. Männistö Jenni Hultman 2 Natural Resources Institute Finland (Luke) , Finland Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Jenni Hultman Abstract Full Text Info/History Metrics Preview PDF Abstract Predatory bacteria are abundant in soil, but their diversity and functions remain not fully understood, especially in subarctic regions. Here, we report strain 1-FT3.2, a predatory bacterium obtained from peatland soil in Northern Finland (Pallas, 68 °N). The bacterium was cultivated on Mucilaginibacter cryoferens FT3.2 as prey. Although a pure culture of strain 1-FT3.2 was not obtained, its draft genome was assembled from sequencing reads derived from the co-culture with its prey. The draft genome of 1-FT3.2 is 7.2 Mb in length and 81% complete. Genome analyses suggested that 1-FT3.2 belongs to the family Polyangiaceae (phylum Myxococcota ), which comprises predatory bacteria. The genome annotation revealed (near-)complete metabolic modules of central carbon metabolism and aerobic respiration. Two proviral regions were predicted in the draft genome, both putatively representing tailed phages of the class Caudoviricetes . Several CRISPR-Cas system proteins were also identified. The draft genome sequence could be used in future comparative studies assessing the diversity of predatory bacteria in northern soils or other environments. Introduction Predatory bacteria are important players in microbial food webs ( Hungate et al. 2021 ). Myxobacteria are a group of bacteria associated with the phylum Myxococcota , characterised by group predatory behaviour and a complex lifestyle, where rod-shaped vegetative cells can aggregate into multicellular fruiting bodies and produce spores ( Saggu et al. 2023 ). Myxobacteria are globally distributed and especially abundant in soil ( Zhou et al. 2014 ; Wang et al. 2021 ). Together with other micropredators, myxobacteria play leading roles in carbon sequestration and mineralization in soil ( Lueders et al. 2006 ). Moreover, myxobacteria may dominate among other potential bacterivores and have been suggested to represent one of the keystone taxa in soil microbial food webs ( Petters et al. 2021 ). Still, more data are needed to resolve their taxonomic diversity as well as metabolic and lifestyle capacities across environments, including relatively underexplored subarctic regions. Since soil microbial communities are highly diverse, obtaining complete genomes through metagenomics may be a challenging task ( Anthony et al. 2024 ). Cultivating soil microbes makes it possible to reconstruct their genome sequences reliably and link genetic information to the observed phenotype. In this study, we obtained strain 1-FT3.2, a predatory bacterium from northern peatland soil in the Pallas region, Finland, using Mucilaginibacter cryoferens FT3.2 ( Kumar et al. 2025 ) as prey. M. cryoferens , recently described as a new species, was isolated from Arctic tundra soils in the Kilpisjärvi region, Finland, where it may play important roles in litter decomposition and carbon recycling together with other Mucilaginibacter species (Männistö et al. 2009; Kumar et al. 2025 ). Strain 1-FT3.2 remained in a mixed culture with its prey, but the analyses of its draft genome sequence obtained from the co-culture suggest that it belongs to the Polyangiaceae family. Methods Soil sampling, isolation and cultivation conditions A soil sample was collected from peatland in the Pallas area, Northern Finland, in September 2022 (N67°59’ E24°13’, Figure 1A ). The vegetation was mainly sedges ( Figure 1B ). The sample was collected from a depth of 5 cm with sterile instruments and stored at 4°C. The pure culture of Mucilaginibacter cryoferens FT3.2 ( Kumar et al. 2025 ), was used as the prey for isolating predatory bacteria from the soil sample. Bacteria were cultivated using R2A medium (Neogen), which contained 0.5 g L -1 yeast extract, 0.5 g L -1 meat peptone, 0.5 g L -1 casamino acid, 0.5 g L -1 glucose, and 0.5 g L -1 starch and was adjusted to pH 6. For solid and top agar, 15 and 4 g L -1 of agar (Sigma-Aldrich) were added, respectively. The cultures were grown aerobically at room temperature (RT). Download figure Open in new tab Figure 1. (A, B) Sampling location, Pallas. In (A), additionally, Kilpisjärvi, the original isolation location for the prey, Mucilaginibacter cryoferens FT3.2, is shown. Map modified from Wikimedia Commons (NordNordWest). (C) A representative plate with lysis zones on the M. cryoferens FT3.2 lawn after 14 days of incubation, scale bar, 1 cm. For the isolation, 5 g of the soil sample (wet weight) was resuspended in 50 ml of R2A broth and incubated on a shaker (200 rpm) at RT for two weeks for the sample enrichment. The enriched sample was centrifuged (ThermoScientific F15-6×100y, 30 min, 2,500 g, 20°C) and 100 μl of non-diluted supernatant plated with 300 μl of the M. cryoferens FT3.2 liquid culture and 3 ml of R2A soft agar (46°C) as a top layer on R2A solid agar plates. The plates were incubated aerobically at RT. The observed growth inhibition/lysis zone was picked up with a sterile pipette tip, resuspended in R2A broth, and plated in a top agar layer as before, which was repeated three consecutive times. DNA extraction and sequencing The top agar layers of the semi-confluent plates were collected and resuspended in R2A broth (3 ml per plate), incubated with shaking (∼200 rpm) at RT for one hour and centrifuged (ThermoScientific F15-6×100y, 30 min, 10,000 g, 4°C). The supernatant was collected and stored at 4°C. The stock titers were determined by plating serial dilutions in a top agar layer as described above. DNA was extracted with the GeneJET Genomic DNA Purification Kit (Thermo Scientific) using the manufacturer’s protocol for Gram-negative bacteria and 20 ml of the agar stock as input. Note that the agar stocks contained cells from both M. cryoferens FT3.2 and the new strain. For sequencing, 100 ng of genomic DNA was converted to a sequencing library using the Illumina DNA prep. Samples were dual indexed using the sequencing core unit’s own Nextera primers. Seven cycles were used in the PCR step and DNA was pooled and purified using Illumina’s SPB bead purification. The Library pool was sequenced at 12 pM on the AVITI sequencer (Element Biosciences) using the AVITI 2×150 Sequencing kit Cloudbreak FreeStyle High Output. Sequencing was performed at the DNA Sequencing and Genomics Laboratory (supported by HiLIFE and Biocenter Finland funding), Institute of Biotechnology, University of Helsinki. Genome annotation FastQC v. 0.11.9 ( https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ ) was used to assess the quality of reads. Raw reads were trimmed and adaptors removed with Cutadapt v. 2.7 (-m 50 --nextseq-trim 20) ( Martin 2011 ). Read-based taxonomic profiling was performed using PhyloFlash v. 3.4.2 and SILVA138.1.eukmod database ( Gruber-Vodicka et al. 2020 ). Since the sample contained a mixed culture of the prey strain M. cryoferens FT3.2 and a new potentially predatory strain, SPAdes v. 3.15.5 in the --meta mode was used for genome assembly ( Bankevich et al. 2012 ). BBTools Stats was used for assessing the assembly statistics, Reformat for sorting scaffolds by their GC content, and Dedupe for dereplicating scaffolds (minidentity=95 absorbrc=t absorbmatch=t sort=length) ( sourceforge.net/projects/bbmap/ ). The full-length SSU rRNA gene sequences obtained from the PhyloFlash run and the assembled scaffolds of ≥10 kbp in length were searched with BLASTN ( Altschul et al. 1990 ) against the NCBI nt database using an E-value cutoff of 0.001.The quality of the draft genome of a new strain was assessed with CheckM2 v. 1.0.1 ( Chklovski et al. 2023 ), and GTDB-Tk v. 2.3.2 with GTDB release 226 database ( Chaumeil et al. 2022 ) was used for assigning a taxonomic classification. For the genome annotation, DRAM v. 0.1.2 ( Shaffer et al. 2020 ) was used at KBase ( Arkin et al. 2018 ). Putative (pro)viral sequences were predicted by geNomad v. 1.7 ( Camargo et al. 2023 ) and their quality and completeness assessed with CheckV v. 0.8.1 ( Nayfach et al. 2021 ). Bowtie2 v. 2.5.3 was used for the additional mapping of reads to putative viral sequences ( Langmead and Salzberg 2012 ). Results Isolation After about two weeks of incubating the plates, growth inhibition/lysis areas of 4-5 mm were observed. In subsequent platings, the size of lytic zones reached up to about 1 cm ( Figure 1C ). The central parts of these zones were clear, while edges were hazier. Agar stocks produced lysis zones on the M. cryoferens FT3.2 lawn when diluted up to 10000-fold, but no lysis zones could be observed when titrating filtered stocks (0.22 and 0.45 μm PES LLG-Syringe filters Spheros), suggesting that the origin of the observed lytic zones was not viral. Very small, almost transparent or whitish colonies growing over the lysis zones were observed ( Figure 1C ), but no aggregated structures like fruiting bodies were seen. Despite our attempts, these tiny colonies could not be transferred to a fresh plate for independent growth. An alternative cultivation approach using the myxobacterium-suited CY-C10 medium (( Karwowski et al. 1996 ) modified by omitting antibiotics) and higher incubation temperature (28°C) for stock titration did not improve colony growth visibility. We named the strain causing lytic zones on M. cryoferens FT3.2 as 1-FT3.2. Genome sequencing and assembly Sequencing genomic DNA of a mixed culture resulted in 245,936,278 raw read pairs (150 bp + 150 bp), of which 245,436,350 pairs were retained after read trimming. With the read-based profiling by PhyloFlash, 225,532 reads (0.092% of all reads) could be mapped to SSU rRNA sequences in SILVA database. Of the mapped reads, 212,996 (94%) were assigned to the order Sphingobacteriales ( Bacteroidota ), where the genus Mucilaginibacter belongs to, and 9,050 (4%) were assigned to the order Polyangiales ( Myxococcota ). The rest of the hits constituted less than 0.01% of mapped reads each. Thus, read-based profiling suggested two strains present in the sample, comprising about 98% of reads together. Furthermore, full-length SSU rRNA gene sequences assembled by SPAdes, matched to SILVA database, were only two OTUs with the closest-matching references of Mucilaginibacter sp. M20-56 ( Sphingobacteriales ; GenBank acc. no.: KP899210.1, 99% id., 100% cov.) and Phaselicystis metagenome ( Polyangiales ; GenBank acc. no.: FPLS01001412.1, 95% id., 99% cov.). Additional BLASTN searches of the two detected OTUs against the NCBI nt database resulted in hits to 16S rRNA gene sequences of Mucilaginibacter sp. strain FT3.2 (100% id., 100% cov., 0 E-value) and the members of the order Polyangiales (the genera Minicystis, Sorangium, Chondromyces, Labilithrix, Polyangium , and uncultured bacterium, 91-92% id., 100% cov., 0 E-value), respectively. The assembly of the mixed culture consisted of 6,318 scaffolds, of which 140 scaffolds were longer than 10 kbp and represented 95% of the total length of all scaffolds ( Table 1 ). Most scaffolds longer than 10 kb were characterised by a GC content of either 41-43% (71 scaffolds) or 64-66% (56 scaffolds) ( Figure 2 ). The Mucilaginibacter cryoferens FT3.2 genome GC content is known to be 42.1 % (Genbank acc. no. CP183228.1). Therefore, 56 scaffolds with a GC content of 64-66% were separated from the rest of the assembly, representing strain 1-FT3.2. Dedupe run confirmed the non-redundancy of the assembled draft genome. The total length of the 1-FT3.2 draft genome was 7,202,438 bp with the scaffolds ranging from 13,622 to 664,534 bp ( Table 2 ). Based on the CheckM2 assessment, the genome is 81.3% complete and 0.5% contaminated. View this table: View inline View popup Download powerpoint Table 1. Statistics for the mixed culture assembly, listed as of different minimal scaffold length thresholds. View this table: View inline View popup Download powerpoint Table 2. 1-FT3.2 draft genome features. Download figure Open in new tab Figure 2. The distribution of GC content across assembled scaffolds longer than 10 kbp. Genome classification and annotation In the BLASTN search, the 1-FT3.2 draft genome scaffolds recruited numerous hits to sequences representing the phylum Myxococcota . GTDB-Tk run on the draft genome suggested classifying 1-FT3.2 within the family Polyangiaceae , order Polyangiales , class Polyangia , phylum Myxococcota . With DRAM, no rRNA encoding genes were identified in the draft genome scaffolds. DRAM-based annotations ( Figure 3 ) revealed a few complete metabolic modules: pentose phosphate cycle, citrate cycle (TCA cycle), glyoxylate cycle, cytochrome c oxidase, and F-type ATPase, as well as a near-complete (8/9) glycolysis module, suggesting robust central carbon metabolism and aerobic respiration. Also, arsenate reductase (glutaredoxin), acetyl-CoA synthetase, acetate kinase, and alcohol dehydrogenase were predicted, but no CAZy enzymes. The incomplete nature of the draft genome sequence precludes full understanding of metabolic capacities or the lack of those in 1-FT3.2. Among other DRAM predictions, several different CRISPR-Cas system proteins were identified (Cas1, Cas2, Cas3, CasA, CasB, CasC, CasD, CasE, Cmr1, Cmr2, Cmr3, Cmr4, Cmr5, and Cmr6). About 36% of all predicted proteins had no significant hits to any DRAM database. Download figure Open in new tab Figure 3. Metabolic functions of 1-FT3.2 strain predicted with DRAM. Using geNomad with all scaffolds from the mixed-culture assembly resulted in the prediction of two proviral sequences on scaffolds that belonged to the 1-FT3.2 draft genome: at coordinates 58-30,107 nt in NODE_10_length_239568_cov_144.087670 and 23,906-79,669 nt in NODE_67_length_79671_cov_165.578627. These proviral elements were medium-quality (80 and 53 % complete, respectively) and both assigned as tailed phages within the class Caudoviricetes . In addition, three other short scaffolds (0.2, 5.4, and 6.9 kbp), were identified as viral by geNomad, although the presence of viral genes could be confirmed by CheckV only for one of them. Mapping reads to these three short scaffolds resulted in an overall alignment rate of only 0.00002%, confirming that the nature of the observed lysis zones is unlikely to be viral. Conclusions The genome analysis of 1-FT3.2, the new predatory bacterium strain reported here, placed it within the family Polyangiaceae ( Myxococcota ). Members of this family are terrestrial isolates mainly from soil and plant decay material, characterised by large genomes and high GC content, with some strains being able to degrade cellulose and produce various secondary metabolites (Garcia and Müller 2014). Polyangiaceae representatives are rarely isolated from subarctic soils ( Dawid 2000 ). The draft genome sequence and genome of 1-FT3.2 could be used in future comparative studies aiming to resolve the diversity of the family Polyangiaceae and/or more broadly, predatory bacteria residing in subarctic soils. Although the reported genome is incomplete, it still contributes to increasing the sequenced space of the soil microbiome. Having the strain available for future laboratory studies makes it possible to explore its lifestyle and metabolic capacities in more detail. Data availability Raw reads from the mixed culture are available from NCBI’s Short Read Archive (SRA): PRJNA1337162. The new strain 1-FT3.2 draft genome is available from Figshare: https://doi.org/10.6084/m9.figshare.30277690.v1 . Competing interests No competing interests were disclosed. Grant information The work was supported by the Research Council of Finland (TD: grant 330977, JH: grant 354462) and the Kone Foundation (TD). Acknowledgements We thank Erin Way and Essi Suomilammi for technical assistance. We acknowledge DNA Sequencing and Genomics Laboratory (supported by HiLIFE and Biocenter Finland funding), Institute of Biotechnology, University of Helsinki for sequencing and CSC – IT Center for Science, Finland, for computational resources as well as for technical support. This work is supported as part of the Genomic Sciences Program DOE Systems Biology Knowledgebase (KBase) funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Numbers DE-AC02-05CH11231, DE-AC02-06CH11357, DE-AC05-00OR22725, and DE-AC02-98CH10886. Funder Information Declared Research Council of Finland, https://ror.org/05k73zm37 , 330977 , 354462 Kone Foundation, https://ror.org/05jwty529 References ↵ Altschul , S. F. , W. Gish , W. Miller , E. W. Myers , and D. J. Lipman . 1990 . “ Basic Local Alignment Search Tool .” Journal of Molecular Biology 215 ( 3 ): 403 – 10 . doi: 10.1016/S0022-2836(05)80360-2 . OpenUrl CrossRef PubMed Web of Science ↵ Anthony , Winston E. , Steven D. Allison , Caitlin M. Broderick , et al. 2024 . “ From Soil to Sequence: Filling the Critical Gap in Genome-Resolved Metagenomics Is Essential to the Future of Soil Microbial Ecology .” Environmental Microbiome 19 ( 1 ): 56 . doi: 10.1186/s40793-024-00599-w . OpenUrl CrossRef PubMed ↵ Arkin , Adam P. , Robert W. Cottingham , Christopher S. Henry , et al. 2018 . “ KBase: The United States Department of Energy Systems Biology Knowledgebase .” Nature Biotechnology 36 ( 7 ): 566 – 69 . doi: 10.1038/nbt.4163 . OpenUrl CrossRef PubMed ↵ Bankevich , Anton , Sergey Nurk , Dmitry Antipov , et al. 2012 . “ SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing .” Journal of Computational Biology: A Journal of Computational Molecular Cell Biology 19 ( 5 ): 455 – 77 . doi: 10.1089/cmb.2012.0021 . OpenUrl CrossRef PubMed ↵ Camargo , Antonio Pedro , Simon Roux , Frederik Schulz , et al. 2023 . “ Identification of Mobile Genetic Elements with geNomad .” Nature Biotechnology, ahead of print, September 21 . doi: 10.1038/s41587-023-01953-y . OpenUrl CrossRef PubMed ↵ Chaumeil , Pierre-Alain , Aaron J Mussig , Philip Hugenholtz , and Donovan H Parks . 2022 . “ GTDB-Tk v2: Memory Friendly Classification with the Genome Taxonomy Database .” Bioinformatics 38 ( 23 ): 5315 – 16 . doi: 10.1093/bioinformatics/btac672 . OpenUrl CrossRef PubMed ↵ Chklovski , Alex , Donovan H. Parks , Ben J. Woodcroft , and Gene W. Tyson . 2023 . “ CheckM2: A Rapid, Scalable and Accurate Tool for Assessing Microbial Genome Quality Using Machine Learning .” Nature Methods 20 ( 8 ): 1203 – 12 . doi: 10.1038/s41592-023-01940-w . OpenUrl CrossRef PubMed ↵ Dawid , Wolfgang . 2000 . “ Biology and Global Distribution of Myxobacteria in Soils .” FEMS Microbiology Reviews 24 ( 4 ): 403 – 27 . doi: 10.1111/j.1574-6976.2000.tb00548.x . OpenUrl CrossRef PubMed Web of Science Garcia , Ronald , and Rolf Müller. 2014 . “The Family Polyangiaceae.” In The Prokaryotes . Springer, Berlin, Heidelberg . doi: 10.1007/978-3-642-39044-9_308 . OpenUrl CrossRef ↵ Gruber-Vodicka , Harald R. , Brandon K. B. Seah , and Elmar Pruesse . 2020 . “ phyloFlash: Rapid Small-Subunit rRNA Profiling and Targeted Assembly from Metagenomes .” mSystems 5 ( 5 ): 10 .1128/msystems.00920-20. doi: 10.1128/msystems.00920-20 . OpenUrl CrossRef ↵ Hungate , Bruce A. , Jane C. Marks , Mary E. Power , et al. 2021 . “ The Functional Significance of Bacterial Predators .” mBio 12 ( 2 ): e00466 – 21 . doi: 10.1128/mBio.00466-21 . OpenUrl CrossRef PubMed ↵ Karwowski , J. P. , G. N. Sunga , S. Kadam , and J. B. McAlpine . 1996 . “ A Method for the Selective Isolation ofMyxococcus Directly from Soil .” Journal of Industrial Microbiology 16 ( 4 ): 230 – 36 . doi: 10.1007/BF01570026 . OpenUrl CrossRef PubMed ↵ Kumar , Anil , Minna K Männistö , Marika Pätsi , Lee J Kerkhof , and Max M Häggblom . 2025 . “ Genome Analysis Reveals Diverse Novel Psychrotolerant Mucilaginibacter Species in Arctic Tundra Soils .” ISME Communications 5 ( 1 ): ycaf071 . doi: 10.1093/ismeco/ycaf071 . OpenUrl CrossRef ↵ Langmead , Ben , and Steven L. Salzberg . 2012 . “ Fast Gapped-Read Alignment with Bowtie 2 .” Nature Methods 9 ( 4 ): 357 – 59 . doi: 10.1038/nmeth.1923 . OpenUrl CrossRef PubMed Web of Science ↵ Lueders , Tillmann , Reimo Kindler , Anja Miltner , Michael W. Friedrich , and Matthias Kaestner . 2006 . “ Identification of Bacterial Micropredators Distinctively Active in a Soil Microbial Food Web .” Applied and Environmental Microbiology 72 ( 8 ): 5342 – 48 . doi: 10.1128/AEM.00400-06 . OpenUrl Abstract / FREE Full Text Männistö Minna K. , Marja Tiirola , and Max M. Häggblom . 2009 . “ Effect of Freeze-Thaw Cycles on Bacterial Communities of Arctic Tundra Soil .” Microbial Ecology 58 ( 3 ): 621 – 31 . doi: 10.1007/s00248-009-9516-x . OpenUrl CrossRef PubMed ↵ Martin , Marcel . 2011 . “ Cutadapt Removes Adapter Sequences from High-Throughput Sequencing Reads .” EMBnet.Journal 17 ( 1 ): 1 . doi: 10.14806/ej.17.1.200 . OpenUrl CrossRef ↵ Nayfach , Stephen , Antonio Pedro Camargo , Frederik Schulz , Emiley Eloe-Fadrosh , Simon Roux , and Nikos C. Kyrpides . 2021 . “ CheckV Assesses the Quality and Completeness of Metagenome-Assembled Viral Genomes .” Nature Biotechnology 39 ( 5 ): 578 – 85 . doi: 10.1038/s41587-020-00774-7 . OpenUrl CrossRef PubMed ↵ Petters , Sebastian , Verena Groß , Andrea Söllinger , et al. 2021 . “ The Soil Microbial Food Web Revisited: Predatory Myxobacteria as Keystone Taxa? ” The ISME Journal 15 ( 9 ): 2665 – 75 . doi: 10.1038/s41396-021-00958-2 . OpenUrl CrossRef ↵ Saggu , Sandeep Kaur , Amar Nath , and Shiv Kumar . 2023 . “ Myxobacteria: Biology and Bioactive Secondary Metabolites .” Research in Microbiology 174 ( 7 ): 104079 . doi: 10.1016/j.resmic.2023.104079 . OpenUrl CrossRef ↵ Shaffer , Michael , Mikayla A. Borton , Bridget B. McGivern , et al. 2020 . “ DRAM for Distilling Microbial Metabolism to Automate the Curation of Microbiome Function .” Nucleic Acids Research 48 ( 16 ): 8883 – 900 . doi: 10.1093/nar/gkaa621 . OpenUrl CrossRef PubMed ↵ Wang , Jingjing , Jianing Wang , Shuge Wu , Zheng Zhang , and Yuezhong Li . 2021 . “ Global Geographic Diversity and Distribution of the Myxobacteria .” Microbiology Spectrum 9 ( 1 ): 10 .1128/spectrum.00012-21. doi: 10.1128/spectrum.00012-21 . OpenUrl CrossRef ↵ Zhou , Xiu-wen , Shu-guang Li , Wei Li , et al. 2014 . “ Myxobacterial Community Is a Predominant and Highly Diverse Bacterial Group in Soil Niches .” Environmental Microbiology Reports 6 ( 1 ): 45 – 56 . doi: 10.1111/1758-2229.12107 . OpenUrl CrossRef PubMed View the discussion thread. Back to top Previous Next Posted October 08, 2025. Download PDF Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. 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