The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Unusual biology across a group comprising more than 15% of domain Bacteria
Open accessAbstract
A prominent feature of the bacterial domain is a radiation of major lineages that are defined as candidate phyla because they lack isolated representatives. Bacteria from these phyla occur in diverse environments and are thought to mediate carbon and hydrogen cycles. Genomic analyses of a few representatives suggested that metabolic limitations have prevented their cultivation. Here we reconstructed 8 complete and 789 draft genomes from bacteria representing >35 phyla and documented features that consistently distinguish these organisms from other bacteria. We infer that this group, which may comprise >15% of the bacterial domain, has shared evolutionary history, and describe it as the candidate phyla radiation (CPR). All CPR genomes are small and most lack numerous biosynthetic pathways. Owing to divergent 16S ribosomal RNA (rRNA) gene sequences, 50-100% of organisms sampled from specific phyla would evade detection in typical cultivation-independent surveys. CPR organisms often have self-splicing introns and proteins encoded within their rRNA genes, a feature rarely reported in bacteria. Furthermore, they have unusual ribosome compositions. All are missing a ribosomal protein often absent in symbionts, and specific lineages are missing ribosomal proteins and biogenesis factors considered universal in bacteria. This implies different ribosome structures and biogenesis mechanisms, and underlines unusual biology across a large part of the bacterial domain.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Trees visualized at https://itol.embl.de/itol.cgiusing Netwick files from Hug et al. (2016) concatenated ribosomal proteins in place of 16S rRNA genes (Fig. 3B) indicate that a large radiation of predominantly uncultured mesophilic taxa, which are comprised of potentially symbiotic organisms with small cells and genomes and are referred to as the bacterial candidate phyla radiation (CPR) and the”
From The Emergence of Life (2019) · cites this paper as Brown et al. 2015
Citations
Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
Accelerated Profile HMM Searches
Eddy, S. R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002195 · Cited by 6,975
UniRef: comprehensive and non-redundant UniProt reference clusters
Suzek, B. E., Huang, H., McGarvey, P., Mazumder, R., & Wu, C. H. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm098 · Cited by 1,613
Castelle, C. J., Wrighton, K. C., Thomas, B. C., Hug, L. A., Brown, C. T., Wilkins, M. J., Frischkorn, K. R., Tringe, S. G., Singh, A., Markillie, L. M., et al. (2015) · Current Biology · doi:10.1016/j.cub.2015.01.014 · Cited by 536
Self-citation
Flagged first, then by citations
Research works printed but not linked: 56
- Harris, J. K., Kelley, S. T. & Pace, N. R. New perspective on uncultured bacterial phylogenetic division OP11. Appl. Environ. Microbiol. 70, 845–849 (2004). · DOI
- Wrighton, K. C. et al. Fermentation, hydrogen, and sulfur metabolism in multiple uncultivated bacterial phyla. Science 337, 1661–1665 (2012). · DOI
- Kantor, R. S. et al. Small genomes and sparse metabolisms of sediment-associated bacteria from four candidate phyla. MBio 4, e00708–e00713 (2013). · DOI
- Wrighton, K. C. et al. Metabolic interdependencies between phylogenetically novel fermenters and respiratory organisms in an unconfined aquifer. ISME J. 8, 1452–1463 (2014). · DOI
- Rinke, C. et al. Insights into the phylogeny and coding potential of microbial dark matter. Nature 499, 431–437 (2013). · DOI · Paper page
- Albertsen, M. et al. Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes. Nature Biotechnol. 31, 533–538 (2013). · DOI
- Luef, B. et al. Diverse, uncultivated ultra-small bacterial cells in groundwater. Nature Commun. 6, 6372 (2015). · DOI
- Burt, A. & Koufopanou, V. Homing endonuclease genes: the rise and fall and rise again of a selfish element. Curr. Opin. Genet. Dev. 14, 609–615 (2004). · DOI
- Salman, V., Amann, R., Shub, D. A. & Schulz-Vogt, H. N. Multiple self-splicing introns in the 16S rRNA genes of giant sulfur bacteria. Proc. Natl Acad. Sci. USA 109, 4203–4208 (2012). · DOI
- Quast, C. et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 41, D590–D596 (2013). · DOI · Paper page
- Evguenieva-Hackenberg, E. Bacterial ribosomal RNA in pieces. Mol. Microbiol. 57, 318–325 (2005). · DOI · Paper page
- Raghavan, R., Hicks, L. D. & Minnick, M. F. Toxic introns and parasitic intein in Coxiella burnetii: legacies of a promiscuous past. J. Bacteriol. 190, 5934–5943 (2008). · DOI
- Baker, B. J., Hugenholtz, P., Dawson, S. C. & Banfield, J. F. Extremely acidophilic protists from acid mine drainage host Rickettsiales-lineage endosymbionts that have intervening sequences in their 16S rRNA genes. Appl. Environ. Microbiol. 69, 5512–5518 (2003). · DOI
- Gong, J., Qing, Y., Guo, X. & Warren, A. ‘Candidatus Sonnebornia yantaiensis’, a member of candidate division OD1, as intracellular bacteria of the ciliated protist Paramecium bursaria (Ciliophora, Oligohymenophorea). Syst. Appl. Microbiol. 37, 35–41 (2014). · DOI
- Caporaso, J. G. et al. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 6, 1621–1624 (2012). · DOI · Paper page
- Nawrocki, E. P. in Structural RNA Homology Search and Alignment using Covariance Models (ed. Eddy, S. R. et al.) (Washington Univ. in Saint Louis, 2009).
- Baker, B. J. & Dick, G. J. Omic approaches in microbial ecology: charting the unknown. Microbe 8, 353–360 (2013).
- Yarza, P. et al. Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nature Rev. Microbiol. 12, 635–645 (2014). · DOI
- Akanuma, G. et al. Inactivation of ribosomal protein genes in Bacillus subtilis reveals importance of each ribosomal protein for cell proliferation and cell differentiation. J. Bacteriol. 194, 6282–6291 (2012). · DOI
- Lecompte, O. Comparative analysis of ribosomal proteins in complete genomes: an example of reductive evolution at the domain scale. Nucleic Acids Res. 30, 5382–5390 (2002). · DOI
- Lagkouvardos, I., Jehl, M.-A., Rattei, T. & Horn, M. Signature protein of the PVC superphylum. Appl. Environ. Microbiol. 80, 440–445 (2014). · DOI
- Yutin, N., Puigbò, P., Koonin, E. V. & Wolf, Y. I. Phylogenomics of prokaryotic ribosomal proteins. PLoS ONE 7, e36972 (2012). · DOI
- Nowotny, V. & Nierhaus, K. H. Initiator proteins for the assembly of the 50S subunit from Escherichia coli ribosomes. Proc. Natl Acad. Sci. USA 79, 7238–7242 (1982). · DOI
- Atkins, J. F. & Björk, G. R. A gripping tale of ribosomal frameshifting: extragenic suppressors of frameshift mutations spotlight P-site realignment. Microbiol. Mol. Biol. Rev. 73, 178–210 (2009). · DOI
- Schuwirth, B. S. Structures of the bacterial ribosome at 3.5 Å resolution. Science 310, 827–834 (2005). · DOI
- Nevskaya, N. Ribosomal protein L1 recognizes the same specific structural motif in its target sites on the autoregulatory mRNA and 23S rRNA. Nucleic Acids Res. 33, 478–485 (2005). · DOI
- Shajani, Z., Sykes, M. T. & Williamson, J. R. Assembly of bacterial ribosomes. Annu. Rev. Biochem. 80, 501–526 (2011). · DOI
- Luef, B. et al. Iron-reducing bacteria accumulate ferric oxyhydroxide nanoparticle aggregates that may support planktonic growth. ISME J. 7, 338–350 (2013). · DOI
- Williams, K. H. et al. Acetate availability and its influence on sustainable bioremediation of uranium-contaminated groundwater. Geomicrobiol. J. 28, 519–539 (2011). · DOI
- Peng, Y., Leung, H. C. M., Yiu, S. M. & Chin, F. Y. L. IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth. Bioinformatics 28, 1420–1428 (2012). · DOI
- Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nature Methods 9, 357–359 (2012). · DOI · Paper page
- Hyatt, D. et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11, 119 (2010). · DOI
- Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460–2461 (2010). · DOI
- Kanehisa, M., Goto, S., Sato, Y., Furumichi, M. & Tanabe, M. KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res. 40, D109–D114 (2012). · DOI · Paper page
- Kanehisa, M. & Goto, S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 28, 27 (2000). · DOI · Paper page
- Hug, L. A. et al. Community genomic analyses constrain the distribution of metabolic traits across the Chloroflexi phylum and indicate roles in sediment carbon cycling. Microbiome 1, 22 (2013). · DOI
- Castelle, C. J. et al. Extraordinary phylogenetic diversity and metabolic versatility in aquifer sediment. Nature Commun. 4, 2120 (2013). · DOI
- Dick, G. J. et al. Community-wide analysis of microbial genome sequence signatures. Genome Biol. 10, R85 (2009). · DOI
- Raes, J., Korbel, J. O., Lercher, M. J., von Mering, C. & Bork, P. Prediction of effective genome size in metagenomic samples. Genome Biol. 8, R10 (2007). · DOI
- McLean, J. S. et al. Candidate phylum TM6 genome recovered from a hospital sink biofilm provides genomic insights into this uncultivated phylum. Proc. Natl Acad. Sci. USA 110, E2390–E2399 (2013). · DOI
- Podar, M. et al. Targeted access to the genomes of low-abundance organisms in complex microbial communities. Appl. Environ. Microbiol. 73, 3205–3214 (2007). · DOI
- Marcy, Y. et al. Dissecting biological ‘dark matter’ with single-cell genetic analysis of rare and uncultivated TM7 microbes from the human mouth. Proc. Natl Acad. Sci. USA 104, 11889–11894 (2007). · DOI
- Nawrocki, E. P., Kolbe, D. L. & Eddy, S. R. Infernal 1.0: inference of RNA alignments. Bioinformatics 25, 1335–1337 (2009). · DOI
- Cannone, J. J. et al. The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs. BMC Bioinformatics 3, 2 (2002). · DOI
- Burge, S. W. et al. Rfam 11.0: 10 years of RNA families. Nucleic Acids Res. 41, D226–D232 (2013). · DOI
- Andronescu, M., Condon, A., Hoos, H. H., Mathews, D. H. & Murphy, K. P. Efficient parameter estimation for RNA secondary structure prediction. Bioinformatics 23, i19–i28 (2007). · DOI
- Kearse, M. et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28, 1647–1649 (2012). · DOI
- Finn, R. D. et al. Pfam: the protein families database. Nucleic Acids Res. 42, D222–D230 (2014). · DOI · Paper page
- Kelley, L. A. & Sternberg, M. J. E. Protein structure prediction on the Web: a case study using the Phyre server. Nature Protocols 4, 363–371 (2009). · DOI
- Gilbert, J. A. et al. Meeting report: the terabase metagenomics workshop and the vision of an Earth microbiome project. Stand. Genomic Sci. 3, 243–248 (2010). · DOI
- Walters, W. A. et al. PrimerProspector: de novo design and taxonomic analysis of barcoded polymerase chain reaction primers. Bioinformatics 27, 1159–1161 (2011). · DOI
- Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014). · DOI · Paper page
- Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004). · DOI · Paper page
- Abascal, F., Zardoya, R. & Posada, D. ProtTest: selection of best-fit models of protein evolution. Bioinformatics 21, 2104–2105 (2005). · DOI · Paper page
- Huson, D. H. & Scornavacca, C. Dendroscope 3: an interactive tool for rooted phylogenetic trees and networks. Syst. Biol. 61, 1061–1067 (2012). · DOI
- Zerbino, D. R. & Birney, E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18, 821–829 (2008). · DOI
Cited by
Sorted by citations
Items 401–500 of 1,000
Kim, J. J., Seong, H., Johnson, T., Cha, C., Sul, W., & Chae, J. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.131761 · Cited by 35
Bowers, R. M., Nayfach, S., Schulz, F., Jungbluth, S. P., Ruhl, I. A., Sheremet, A., Lee, J., Goudeau, D., Eloe‐Fadrosh, E. A., Stepanauskas, R., et al. (2021) · The ISME Journal · doi:10.1038/s41396-021-01178-4 · Cited by 38
“Furthermore, after extracting 16S rRNA genes directly from the SAG assemblies, we found that 33% of the 16S rRNA gene sequences either had mismatches to the employed 16S rRNA gene primers or had large introns, both of which are known to hamper efficient amplification [18, 20, 21, 71].”
InfluentialGeesink, P., Wegner, C., Probst, A., Herrmann, M., Dam, H., Kaster, A., & Küsel, K. (2019) · Environmental Microbiology · doi:10.1111/1462-2920.14865 · Cited by 35
Lavy, A., McGrath, D., Carnevali, P. B. M., Wan, J., Dong, W., Tokunaga, T., Thomas, B., Williams, K., Hubbard, S., & Banfield, J. (2018) · bioRxiv · doi:10.1101/423368 · Cited by 35
“However, CPR bacteria, which elude most cultivation efforts (Solden et al., 2016), are likely dependent on other microorganisms for basic cellular building blocks (Kantor et al., 2013; Brown et al., 2015).”
BackgroundSelf-citationMicrobiology: the road to strain-level identification
Marx, V. (2016) · Nature Methods · doi:10.1038/nmeth.3837 · Cited by 35
Relevance of phenotypic information for the taxonomy of not-yet-cultured microorganisms.
Overmann, J., Huang, S., Nübel, U., Hahnke, R., & Tindall, B. (2019) · Systematic and Applied Microbiology · doi:10.1016/j.syapm.2018.08.009 · Cited by 35
Biosynthetic CdS-Thiobacillus thioparus hybrid for solar-driven carbon dioxide fixation
Liu, G., Gao, F., Zhang, H., Wang, L., Gao, C., & Xiong, Y. (2021) · Nano Research · doi:10.1007/s12274-021-3883-0 · Cited by 40
Wiegand, S., Rast, P., Kallscheuer, N., Jogler, M., Heuer, A., Boedeker, C., Jeske, O., Kohn, T., Vollmers, J., Kaster, A., et al. (2021) · Microorganisms · doi:10.3390/microorganisms9071494 · Cited by 34
Sáenz, J., Roldán, F., Junca, H., & Arbeli, Z. (2019) · Journal of Applied Microbiology · doi:10.1111/jam.14231 · Cited by 34
“The most important one is probably primer selection (Klindworth et al. 2013; Brown et al. 2015).”
BackgroundGravuer, K., & Eskelinen, A. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01271 · Cited by 34
“…to continually evaluate prediction of microbial traits, such as growth strategies and resource specialization as additional fully-sequenced genomes from currently uncultured groups become available, such as genomes from the recently-identified candidate phyla radiation (Brown et al., 2015).”
BackgroundMicrobial malaise: how can we classify the microbiome?
Beiko, R. (2015) · Trends in Microbiology · doi:10.1016/j.tim.2015.08.009 · Cited by 34
Lu, Y., Cong, P., Kuang, S., Tang, L., Li, Y., Dong, J., & Song, W. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1005303 · Cited by 39
“And except for Bacillus, most members of all these taxa are considered to be predicted copiotrophic bacteria (Xia et al., 2005; Spain et al., 2009; Albertsen et al., 2013; Mowlick et al., 2014; Naas et al., 2014; Brown et al., 2015; Banerjee et al., 2016), which grow fastly in nutrient-rich conditions (Fierer et al.”
BackgroundGardner, P. P., Watson, R. J., Morgan, X. C., Draper, J. L., Finn, R. D., Morales, S. E., & Stott, M. B. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/202077
“large insertions or diverged primer annealing sites), and consequently these DNA markers may fail to be amplified by PCR [10].”
BackgroundInfluentialMolina, V., Hernández, K. L., Dorador, C., Eissler, Y., Hengst, M., Pérez, V., & Harrod, C. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01823 · Cited by 33
“Moreover, our results allowed us to identify a high number of other potentially active phyla, including Lentisphaerae and also others from the recently described Candidate Phyla Radiation (Brown et al., 2015), e.g., Parcubacteria, Gracilibacteria, OP3 (Omnitrophica), TM6, SR1, Frontiers in Microbiology | www.frontiers…”
BackgroundInfluentialJahn, M. T., Markert, S. M., Ryu, T., Ravasi, T., Stigloher, C., Hentschel, U., & Moitinho‐Silva, L. (2016) · Scientific Reports · doi:10.1038/srep35860 · Cited by 29
Varaljay, V. A., Satagopan, S., North, J. A., Witte, B., Dourado, M. N., Anantharaman, K., Arbing, M. A., McCann, S., Oremland, R. S., Banfield, J. F., et al. (2015) · Environmental Microbiology · doi:10.1111/1462-2920.13138 · Cited by 38
“data series abundance patterns (Brown et al., 2015), these RubisCO scaffolds were confidently assigned to two genomic bins (GWA2_Gallionellales_59_43, GWB2_Gallionellales_58_32).”
InfluentialSelf-citationHoover, R. L., Keffer, J. L., Polson, S. W., & Chan, C. S. (2023) · mSystems · doi:10.1128/msystems.00038-23 · Cited by 33
Zhang, D.-F., He, W., Shao, Z.-Z., Ahmed, I., Zhang, Y.-Q., Li, W.-J., & Zhao, Z. (2023) · International Journal of Systematic and Evolutionary Microbiology · doi:10.1099/ijsem.0.006156 · Cited by 32
Wang, Y.-L., Zhang, Y.-L., Hu, Y., Liu, L., Liu, S.-J., & Zhang, T. (2023) · Microbiome · doi:10.1186/s40168-023-01494-1 · Cited by 32
“7% (Supplementary Table S2 and Figure S1) if using 43 markers specific for CPR lineages [4].”
BackgroundMethodInfluentialWidespread but Poorly Understood Bacteria: Candidate Phyla Radiation
Ji, Y.-H., Zhang, P., Zhou, S., Gao, P., Wang, B., & Jiang, J.-D. (2022) · Microorganisms · doi:10.3390/microorganisms10112232 · Cited by 32
“These CPR microorganisms have ultra-small cells, limited metabolic capacity, and unusual ribosome compositions, and there are self-splicing introns and protein insertions in the 16S rRNA gene, which is rarely reported in normal bacteria [1].”
BackgroundMethodInfluentialRuuskanen, M. O., Colby, G. A., Pierre, K. A. S., Louis, V. L. S., Aris‐Brosou, S., & Poulain, A. J. (2019) · Limnology and Oceanography · doi:10.1002/lno.11334 · Cited by 33
“…taxonomic comparisons of MAGs to reference data, all non-redundant (one per species) complete bacterial and archaeal genomes, and all the available Candidate Phyla Radiation (CPR; Brown et al., 2015; Hug et al., 2016) genomes, were downloaded from the NCBI GenBank database (Benson et al., 2012).”
BackgroundMethodProfiling microbial strains in urban environments using metagenomic sequencing data
Zolfo, M., Asnicar, F., Manghi, P., Pasolli, E., Tett, A., & Segata, N. (2018) · Biology Direct · doi:10.1186/s13062-018-0211-z · Cited by 76
“Indeed, metagenomics has enabled investigations such as those identifying associations between microbial communities and human diseases [1, 4–7] and it has even permitted the discovery of whole new bacterial phyla populating aquatic systems [8].”
BackgroundMcGee, C. F., Byrne, H., Irvine, A., & Wilson, J. (2017) · Mycologia · doi:10.1080/00275514.2017.1349498 · Cited by 32
“Methods currently exist for rebuilding bacterial species genomes obtained from environmental samples (Brown et al. 2015), which can give some indication of potential functionality.”
BackgroundSingle sample resolution of rare microbial dark matter in a marine invertebrate metagenome
Miller, I., Weyna, T., Fong, S., Lim-Fong, G., & Kwan, J. (2016) · Scientific Reports · doi:10.1038/srep34362 · Cited by 32
“In support of this notion, based on a study of Colorado groundwater, Banfield and colleagues recently found that a large and previously unidentified portion of the bacterial tree of life had 16S rRNA genes not amplifiable with standard primers 14 .”
Jaffe, A. L., Konno, M., Kawasaki, Y., Kataoka, C., Béjà, O., Kandori, H., Inoue, K., & Banfield, J. F. (2022) · The ISME Journal · doi:10.1038/s41396-022-01231-w · Cited by 32
“Only recently was it suggested that some members of the candidate phyla radiation (CPR)—a highly diverse group of bacteria originally detected by 16 S rRNA sequencing [1] and subsequently characterized by genomeresolved metagenomics [2, 3]—may be able to use rhodopsins for proton translocation and thus energy generati…”
BackgroundSelf-citationDeep distributed computing to reconstruct extremely large lineage trees
Konno, N., Kijima, Y., Watano, K., Ishiguro, S., Ono, K., Tanaka, M., Mori, H., Masuyama, N., Pratt, D. R., Ideker, T., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-01111-2 · Cited by 32
“Its members are largely uncultivable, resulting in difficulties in morphological or other phenotypic analyses 35 .”
BackgroundGalperin, M. Y., Wolf, Y. I., Garushyants, S. K., Alvarez, R. V., & Koonin, E. V. (2021) · Journal of Bacteriology · doi:10.1128/jb.00058-21 · Cited by 37
“For example, the loss of L1 and/or L9, which was 424 detected in several tiny genomes from “Other bacteria” (Table 1), has been reported to 425 be widespread among the Candidate Phyla Radiation (Patescibacteria), a vast and 426 diversified group of poorly characterized bacteria that are thought to be symbionts or 427…”
BackgroundAlekseev, I., Zverev, A., & Abakumov, E. (2020) · Microorganisms · doi:10.3390/microorganisms8081202 · Cited by 31
“This phylum together with other related candidate phyla have been recently proposed to the CPR supergroup [66], and are characterized by small genomes reduced metabolic capabilities that likely have prevented their cultivation so far [66,67].”
BackgroundChelkha, N., Hasni, I., Louazani, A. C., Levasseur, A., Scola, B. L., & Colson, P. (2020) · Scientific Reports · doi:10.1038/s41598-020-62836-9 · Cited by 31
Methane oxidation and methylotroph population dynamics in groundwater mesocosms
Kuloyo, O., Ruff, S., Cahill, A., Connors, L., Zorz, J., de Angelis, I. H., Nightingale, M., Mayer, B., & Strous, M. (2020) · Environmental Microbiology · doi:10.1111/1462-2920.14929 · Cited by 31
“Gracilibacteria is part of the Candidate Phyla Radiation (CPR) (Brown et al., 2015; Hug et al., 2016), comprised of uncultured bacteria, ubiquitous in groundwater, and having “incomplete” central metabolism (Wrighton et al.”
BackgroundInfluentialHerrmann, M., Geesink, P., Yan, L.-J., Lehmann, R., Totsche, K., & Küsel, K. (2019) · Water Research · doi:10.1016/j.watres.2019.115306 · Cited by 31
The Underestimation of Global Microbial Diversity
Lennon, J., & Locey, K. (2016) · mBio · doi:10.1128/mbio.01298-16 · Cited by 31
“For example, just last year, 35 new candidate phyla were recovered in groundwater from a single aquifer well (5).”
BackgroundWilliams, T., Davín, A. A., Szánthó, L. L., Stamatakis, A., Wahl, N. A., Woodcroft, B., Soo, R. M., Eme, L., Sheridan, P. O., Gubry-Rangin, C., et al. (2024) · The ISME Journal · doi:10.1093/ismejo/wrae129 · Cited by 30
“[33, 34], Patescibacteria/CPR [35, 36], and parasitic fungi such as Microsporidia [37].”
Dwivedi, D., Steefel, C. I., Arora, B., Banfield, J. F., Bargar, J., Boyanov, M. I., Brooks, S. C., Chen, X., Hubbard, S. S., Kaplan, D. I., et al. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac59a9 · Cited by 35
“Meander acts as a sink for organic and inorganic C as well as Fe during the extended baseflow and high-water conditions Dwivedi et al (2018b) Export control points”
BackgroundSelf-citationFunctional diversity of microbial communities in inactive seafloor sulfide deposits.
Dong, X.-Y., Zhang, C., Li, W., Weng, S., Song, W.-Z., Li, J.-T., & Wang, Y. (2021) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiab108 · Cited by 30
Jácome, L. A. P., Lomheim, L., Gaspard, S., & Edwards, E. (2021) · Environmental Science and Technology · doi:10.1021/acs.est.0c07221 · Cited by 30
Gulf of Mexico blue hole harbors high levels of novel microbial lineages
Patin, N., Dietrich, Z., Stancil, A., Quinan, M., Beckler, J., Hall, E., Culter, J., Smith, C., Taillefert, M., & Stewart, F. (2020) · The ISME Journal · doi:10.1038/s41396-021-00917-x · Cited by 30
Carbon Fixation by Marine Ultrasmall Prokaryotes
Lannes, R., Olsson‐Francis, K., Lopez, P., & Bapteste, E. P. (2019) · Genome Biology and Evolution · doi:10.1093/gbe/evz050 · Cited by 38
Ludington, W. B., Seher, T. D., Applegate, O., Li, X., Kliegman, J. I., Langelier, C., Atwill, E. R., Harter, T., & DeRisi, J. L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174930 · Cited by 31
“Specifically enriched are prokaryotes from the recently described nano-bacterial Parcubacteria (OD1) and Microgenomates (OP11), nano-archaeal DPANN and ThaumarchaeotaAigarchaeota-Crenarchaeota-Korarchaeota (TACK) superphyla [2, 3] as well as two distinct clades of Planctomycetes: the OM190 group, and the anammox Broca…”
BackgroundContig annotation tool CAT robustly classifies assembled metagenomic contigs and long sequencesPreprint
Cambuy, D. D., Coutinho, F., & Dutilh, B. (2016) · bioRxiv · doi:10.1101/072868 · Cited by 30
“In recent years, it has become increasingly clear that reference-based annotation of short-read metagenomes may miss an important fraction of the microbial and viral biodiversity in the environment (Dutilh et al., 2014; Brown et al., 2015).”
BackgroundFlood, B. E., Fliss, P. S., Jones, D. S., Dick, G. J., Jain, S., Kaster, A., Winkel, M., Mußmann, M., & Bailey, J. V. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00603 · Cited by 30
“PCR primers were designed using Primer3 (Untergasser et al., 2012).”
BackgroundMethodInfluentialLinking prokaryotic genome size variation to metabolic potential and environment
Rodríguez-Gijón, A., Buck, M., Andersson, A., Izabel-Shen, D., Nascimento, F. J. A., & Garcia, S. (2023) · bioRxiv · doi:10.1038/s43705-023-00231-x · Cited by 29
“In the case of 398 phylum Patescibacteria, we used a custom set of maker genes provided by CheckM (69,74).”
MethodInfluentialUnexpected absence of ribosomal protein genes from metagenome-assembled genomes
Mise, K., & Iwasaki, W. (2022) · ISME Communications · doi:10.1038/s43705-022-00204-6 · Cited by 35
“The first hypothesis may align with the fact that some uncultivated prokaryotes, such as Candidate Phyla Radiation bacteria, lack some ribosomal protein genes [3, 51].”
BackgroundGeesink, P., Taubert, M., Jehmlich, N., von Bergen, M., & Küsel, K. (2022) · Microbiology spectrum · doi:10.1128/spectrum.00437-22 · Cited by 29
“In addition, members of the candidate phyla radiation (CPR), a clade of bacteria that lack critical metabolic pathways (17, 25, 26), have been hypothesized to use necromass as a source of OC and metabolites that they cannot synthesize themselves (27–29).”
BackgroundStrain-Level Variation and Diverse Host Bacterial Responses in Episymbiotic Saccharibacteria
Nie, J., Utter, D., Kerns, K. A., Lamont, E., Hendrickson, E., Liu, J., Wu, T., He, X., McLean, J., & Bor, B. (2022) · mSystems · doi:10.1128/msystems.01488-21 · Cited by 29
“genomes from obligate symbionts that lack universal genes found in free-living bacteria (28, 29).”
BackgroundCurrent Status and Potential Applications of Underexplored Prokaryotes
Goh, K., Shahar, S., Chan, K.-G., Chong, C., Amran, S., Sani, M. H., Zakaria, I. I., & Kahar, U. M. (2019) · Microorganisms · doi:10.3390/microorganisms7100468 · Cited by 29
“(ii) Cells from the environment are in the dormancy stage, and none of the resuscitation approaches can make them appear on the Petri dish, and (iii) having a smaller genome size causes most candidate CPR to lack numerous biosynthesis pathways, to be absent of ATP synthase, and to lack the electron transport chain com…”
BackgroundSizing Up the Uncultured Microbial Majority
Hug, L. (2018) · mSystems · doi:10.1128/msystems.00185-18 · Cited by 29
Self-citationIdeas and perspectives: Strengthening the biogeosciences in environmental research networks
Richter, D., Billings, S., Groffman, P., Kelly, E., Lohse, K., McDowell, W., White, T., Anderson, S. P., Baldocchi, D., Banwart, S., et al. (2018) · Biogeosciences · doi:10.5194/bg-15-4815-2018 · Cited by 29
“The new analyses illuminate not only the identity of organisms but their metabolic capacities, with the diversification of bacteria particularly notable (Brown et al., 2015).”
Cai, L., Krafft, T., Chen, T.-B., Lv, W., Gao, D., & Zhang, H.-Y. (2017) · Bioresource Technology · doi:10.1016/j.biortech.2017.07.118 · Cited by 29
Okazaki, Y., Nakano, S., Toyoda, A., & Tamaki, H. (2022) · mSystems · doi:10.1128/msystems.00433-22 · Cited by 29
“Notably, among these cases, the highest nonsynonymous SNV ratio was observed in rMAG_34, which is affiliated with Levybacteria (OP11), a member of the Candidate phyla radiation (CPR) (71).”
BackgroundInfluentialGoffredi, S., Motooka, C., Fike, D., Gusmão, L., Tilic, E., Rouse, G., & Rodríguez, E. (2021) · BMC Biology · doi:10.1186/s12915-020-00921-1 · Cited by 28
Liu, J., Li, B., Wang, Y., Zhang, G., Jiang, X., & Li, X.-Y. (2019) · Environment International · doi:10.1016/j.envint.2019.104998 · Cited by 28
Getz, E. W., Tithi, S. S., Zhang, L., & Aylward, F. O. (2018) · mBio · doi:10.1128/mbio.01089-18 · Cited by 32
“More recent studies in nonmarine environments have continued to identify small, streamlined genomes, suggesting that these processes may be widespread across the biosphere (17, 18).”
BackgroundPinheiro, J., Biboy, J., Vollmer, W., Hirt, R., Keown, J., Artuyants, A., Black, M. M., Goldstone, D., & Simoes-Barbosa, A. (2018) · mBio · doi:10.1128/mbio.01784-18 · Cited by 28
A novel Chromatiales bacterium is a potential sulfide oxidizer in multiple orders of marine sponges
Lavy, A., Keren, R., Yu, K., Thomas, B., Alvarez-Cohen, L., Banfield, J., & Ilan, M. (2017) · Environmental Microbiology · doi:10.1111/1462-2920.14013 · Cited by 28
“Scaffolding errors introduced by idba_ud were corrected using an in‐house script as described by Brown et al. (2015), and fusion of overlapping scaffolds was done with Geneious version 8.0 [https://www.geneious.com, (Kearse et al., 2012)].”
InfluentialSelf-citationHigh niche specificity and host genetic diversity of groundwater viruses
Gios, E., Mosley, O. E., Hoggard, M., & Handley, K. M. (2024) · The ISME Journal · doi:10.1093/ismejo/wrae035 · Cited by 33
“…it remains unclear how microorganisms with such small cell and genomes sizes (1 ± 0.4 Mbp [24]) are capable of supporting viral infection and replication, and as ultra-small prokaryotes are considered host-dependent themselves [85], what role viruses play in the three-way symbiotic relationship.”
InfluentialRuiz-González, C., Rodríguez-Pie, L., Maister, O., Rodellas, V., Alorda-Keinglass, A., Diego-Feliu, M., Folch, A., García-Orellana, J., & Gasol, J. (2022) · Molecular Ecology · doi:10.1111/mec.16695 · Cited by 27
Hwang, Y., Schulze‐Makuch, D., Arens, F. L., Sáenz, J. S., Adam, P. S., Sager, C., Bornemann, T. L. V., Zhao, W., Zhang, Y., Airo, A., et al. (2021) · Microbiome · doi:10.1186/s40168-021-01177-9 · Cited by 30
“ra2 [98] was used to fix assembly errors in all binned scaffolds.”
MethodAncient and modern geochemical signatures in the 13,500-year sedimentary record of Lake Cadagno
Berg, J., Lepine, M., Laymand, E., Han, X.-G., Vogel, H., Morlock, M., Gajendra, N., Gilli, A., Bernasconi, S., Schubert, C., et al. (2021) · bioRxiv · doi:10.3389/feart.2021.754888 · Cited by 27
“Members of Parcubacteria, which account for 5-10% of reads in the top 35 cm and fall into the enigmatic Candidate Phyla Radiation (Brown et al., 2015), are widespread in diverse oxic and anoxic habitats, including lake water columns and terrestrial aquifers, and are potentially involved in…”
BackgroundInfluentialCampen, R., Kowalski, J., Lyons, W. B., Tulaczyk, S. M., Dachwald, B., Pettit, E. C., Welch, K. A., & Mikucki, J. A. (2019) · Environmental Microbiology · doi:10.1111/1462-2920.14607 · Cited by 29
Microbiota and Biofertilizers: A Sustainable Continuum for Plant and Soil Health
Hakeem, K. R., Dar, G., Mehmood, M. A., & Bhat, R. (2021) · doi:10.1007/978-3-030-48771-3 · Cited by 27
A Comprehensive Review for the Surveillance of Human Pathogenic Microorganisms in Shellfish
Desdouits, M., Reynaud, Y., Philippe, C., & Guyader, F. L. (2023) · Microorganisms · doi:10.3390/microorganisms11092218 · Cited by 26
“Previous MAG studies of environmental [181,182] and gut microbiomes [183] revealed genomic particularities of uncultured bacterial lineages, like reduced genomes missing common biological functions (for example maintenance of osmotic pressure and protection against oxidative stress), slow replication and the absence o…”
BackgroundCharacterization of chlorinated paraffin-degrading bacteria from marine estuarine sediments.
Lyu, L., He, Y., Dong, C., Li, G.-Z., Wei, G.-S., Shao, Z., & Zhang, S. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.129699 · Cited by 26
Hickl, O., Queirós, P., Wilmes, P., May, P., & Heintz‐Buschart, A. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac431 · Cited by 30
Xu, Y.-F., Teng, Y., Dong, X.-Y., Wang, X.-M., Zhang, C., Ren, W.-J., Zhao, L., Luo, Y.-M., & Greening, C. (2021) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2021.108464 · Cited by 26
Savvichev, A., Kadnikov, V., Rusanov, I., Beletsky, A., Krasnova, E., Voronov, D., Kallistova, A., Veslopolova, E., Zakharova, E., Kokryatskaya, N., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01945 · Cited by 26
“Genomics studies of Patescibacteria revealed that they have small genomes (∼1 Mbp or less) with limited capacities for fermentative metabolism, and lacked amino acid, nucleotide, and lipid biosynthetic pathways, which suggests the lifestyle of a scavenger or symbiot/parasit (Brown et al., 2015; Castelle et al., 2018).”
BackgroundZinke, L., Evans, P., Santos-Medellín, C., Schroeder, A. L., Parks, D., Varner, R., Rich, V., Tyson, G., & Emerson, J. (2020) · bioRxiv · doi:10.1101/2020.03.09.984617 · Cited by 26
Blair, K. M., Mears, K. S., Taylor, J. A., Fero, J., Jones, L. A., Gafken, P. R., Whitney, J. C. C., & Salama, N. R. (2018) · Molecular Microbiology · doi:10.1111/mmi.14087 · Cited by 27
“© 2018 John Wiley & Sons Ltd, Molecular Microbiology , 110, 114–127 extensions in MurF from Gram (–), Gram (+), and organisms with minimal or reduced genomes (Brown et al., 2015; Nelson and Stegen, 2015) (data not shown).”
BackgroundNovel approaches in function-driven single-cell genomics
Doud, D. F. R., & Woyke, T. (2017) · FEMS Microbiology Reviews · doi:10.1093/femsre/fux009 · Cited by 30
“, microbes that lack characterized cultured representatives (Rinke et al. 2013; Kamke et al. 2014; Brown et al. 2015) and whose genes often lack functional prediction (Youssef et al.”
BackgroundRNA-Dependent Cysteine Biosynthesis in Bacteria and Archaea
Mukai, T., Crnković, A., Umehara, T., Ivanova, N., Kyrpides, N. C., & Söll, D. G. (2017) · mBio · doi:10.1128/mbio.00561-17 · Cited by 31
“Most importantly, single-cell genomics and the composite-genome approach have dissected microbial dark matter (MDM) (28), the candidate phylum radiation (CPR) (29, 30), and the Asgard archaeal superphylum (31) by detecting and classifying uncultivated microbes (28, 29, 31–34).”
BackgroundBioinformatic Analysis Reveals Archaeal tRNATyr and tRNATrp Identities in Bacteria
Mukai, T., Reynolds, N. M., Crnković, A., & Söll, D. G. (2017) · Life · doi:10.3390/life7010008 · Cited by 25
“While one is Pandoravirus-like, as previously mentioned, the other is most similar to the TyrRS ‘domain’ sequence of the B2-TyrRS species of WS6 bacterium GW2011 GWA2_37_6 (Figures 2 and 3A).”
BackgroundOlm, M., Butterfield, C., Copeland, A., Boles, T. C., Thomas, B., & Banfield, J. (2017) · mBio · doi:10.1128/mbio.01969-16 · Cited by 26
Self-citationMicrobial Ecosystems in Central Andes Extreme Environments
Eugenia Farías, M. (2020) · Springer eBooks · doi:10.1007/978-3-030-36192-1 · Cited by 43
Suarez, C., Rosenqvist, T., Dimitrova, I., Sedlacek, C. J., Modin, O., Paul, C. J., Hermansson, M., & Persson, F. (2024) · Microbiome · doi:10.1186/s40168-024-01762-8 · Cited by 32
“In the phylum Patescibacteria, terminal oxidases are absent [59] and this was also observed for the five Patescibacteria MAGs found in the current study.”
BackgroundLi, J.-T., Jia, P., Wang, X.-J., Ou, S.-N., Yang, T.-T., Feng, S.-W., Lu, J., Fang, Z., Liu, J., Liao, B., et al. (2022) · npj Biofilms and Microbiomes · doi:10.1038/s41522-022-00333-9 · Cited by 25
Vavourakis, C. D., Heijnen, L., Peters, M., Marang, L., Ketelaars, H., & Hijnen, W. (2020) · Environmental Science and Technology · doi:10.1021/acs.est.0c04532 · Cited by 25
Ecogenomics and metabolic potential of the South Atlantic Ocean microbiome
Coutinho, F. H., von Meijenfeldt, F. A. B., Walter, J. M., Haro-Moreno, J. M., López‐Pérez, M., Verk, M. C. V., Thompson, C. C., Cosenza, C. A. N., Appolinario, L., Paranhos, R., et al. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142758 · Cited by 32
Sjöberg, S., Stairs, C. W., Allard, B., Homa, F., Martin, T., Sjöberg, V., Ettema, T., & Dupraz, C. (2020) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiaa169 · Cited by 25
A genome compendium reveals diverse metabolic adaptations of Antarctic soil microorganismsPreprint
Ortiz, M., Leung, P. M., Shelley, G., Goethem, M. W. V., Bay, S. K., Jordaan, K., Vikram, S., Hogg, I. D., Makhalanyane, T. P., Chown, S. L., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.06.239558 · Cited by 27
Huddy, R., Sachdeva, R., Kadzinga, F., Kantor, R. S., Harrison, S., & Banfield, J. (2020) · bioRxiv · doi:10.3389/fmicb.2021.643368 · Cited by 25
“The series coverage information was used to create bins using ABAWACA [20], CONCOCT [21], MaxBin2 [22], and MetaBAT2 [23].”
MethodSelf-citationReconstructing single genomes from complex microbial communities
Kang, D., Rubin, E., & Wang, Z. (2016) · it - Information Technology · doi:10.1515/itit-2016-0011 · Cited by 25
“With a large number of samples, deep sequencing, and customized pre- and post-binning techniques it is possible to form a large number of high quality draft genomes from complex microbial communities [26, 36, 37].”
BackgroundDanczak, R., Yabusaki, S., Williams, K., Fang, Y.-L., Hobson, C., & Wilkins, M. (2016) · Frontiers in Earth Science · doi:10.3389/feart.2016.00057 · Cited by 25
“Using phylogenetic classifications developed by Brown et al. (2015) for OTU assignments, we identified numerous groups within the Microgenomates (OP11) and Parcubacteria (OD1) over the course of this experiment.”
BackgroundMethodInfluentialSelf-citationTong, J., Cui, L., Wang, D.-Q., Wang, X., & Liu, Z. (2022) · Journal of Environmental Chemical Engineering · doi:10.1016/j.jece.2022.108635 · Cited by 24
Genome-Resolved Meta-Analysis of the Microbiome in Oil Reservoirs Worldwide
Hidalgo, K., Sierra-Garcia, I. N., Zafra, G., & de Oliveira, V. D. (2021) · Microorganisms · doi:10.3390/microorganisms9091812 · Cited by 24
“lacking many metabolic functions like amino acid or nucleotide biosynthesis [44].”
BackgroundIbrahim, A., Maatouk, M., Rajaonison, A., Zgheib, R., Haddad, G., Khalil, J. Y. B., Raoult, D., & Bittar, F. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.01069-21 · Cited by 31
“Although CPR members present high interindividual heterogeneity in genomic sequences, they do have certain common characteristics: they are morphologically small (100 to 300 nm) and have reduced genome sizes (usually less than 1 Mbp) (1), high percentages of hypothetical proteins (11), and a single copy of the 16S rRN…”
BackgroundWiegand, S., Dam, H., Riba, J., Vollmers, J., & Kaster, A. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.635506 · Cited by 24
pH and thiosulfate dependent microbial sulfur oxidation strategies across diverse environments
Twible, L. E., Whaley-Martin, K. J., Chen, L.-X., Nelson, T. C., Arrey, J. L. S., Jarolimek, C. V., King, J. J., Ramilo, L., Sonnenberg, H., Banfield, J. F., et al. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1426584 · Cited by 29
“16S rRNA genes were predicted from 1k_scaffolds based on an HMM database in accordance with methods presented by Brown et al. (2015).”
MethodSelf-citationCandidatus List. Lists of names of prokaryotic Candidatus phyla
Oren, A., & Göker, M. (2023) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijsem.0.005821 · Cited by 27
Sauk, A. H., & Hug, L. A. (2022) · ISME Communications · doi:10.1038/s43705-022-00141-4 · Cited by 38
“Previous landfill microbial diversity studies have relied on 16S rRNA gene amplicon sequencing, which may have systematically underestimated the abundance of Patescibacteria due to primer mismatches and long insertions in the rRNA genes [70].”
BackgroundSelf-citationMode and Structure of the Bacterial Community on Human Scalp Hair
Watanabe, K., Nishi, E., Tashiro, Y., & Sakai, K. (2019) · Microbes and Environments · doi:10.1264/jsme2.me19018 · Cited by 23
“In 2nd PCR, a universal primer set for the V4 region of the bacterial 16S rRNA gene and tailed sequences for MiSeq sequencing were used (1-515F, 5ʹ-TCG TCG GCA GCG TCA GAT GTG TAT AAG AGA CAG GTG CCA GCM GCC GCG GTA A-3ʹ and 1-806R, 5ʹ-GTC TCG TGG GCT CGG AGA TGT GTA TAA GAG ACA GGG ACT ACH VGG GTW TCT AAT-3ʹ) (2).”
Zhu, Q., Dupont, C. L., Jones, M. B., Pham, K. M., Jiang, Z., DuPont, H. L., & Highlander, S. K. (2018) · Microbiome · doi:10.1186/s40168-018-0579-0 · Cited by 30
“Phylogenetic analyses have placed novel organisms in proximity to known taxonomic groups—thereby expanding the “tree of life”—but have also revealed striking clustering patterns of a large number of deep branches, known as the candidate phyla radiation (CPR), which includes microbes that are substantially different fr…”
BackgroundTakenaka, R., Aoi, Y., Ozaki, N., Ohashi, A., & Kindaichi, T. (2018) · Materials · doi:10.3390/ma11071129 · Cited by 23
“The CPR comprises >15% of all bacterial diversity and potentially contains >70 phyla [6].”
BackgroundShotgun proteomics of bacterial pathogens: advances, challenges and clinical implications
Šemanjski, M., & Maček, B. (2015) · Expert Review of Proteomics · doi:10.1586/14789450.2016.1132168 · Cited by 22
“groundwater sample and identified a novel potential bacterial phylum, which may comprise more than 15% of the whole bacterial domain [121].”
BackgroundCha, J. H., Kim, N., Ma, J., Lee, S.-H., Koh, G., Yang, S., Beck, S., Byeon, I., Lee, B., & Lee, I. (2025) · bioRxiv · doi:10.1101/2025.03.10.642329 · Cited by 22
Kuroda, K., Nakajima, M., Nakai, R., Hirakata, Y., Kagemasa, S., Kubota, K., Noguchi, T., Yamamoto, K., Satoh, H., Nobu, M., et al. (2024) · mBio · doi:10.1128/mbio.03102-23 · Cited by 22
García-Rodríguez, F., Piccini, C., Carrizo, D., Sánchez-García, L., Pérez, L., Crisci, C., Oaquim, A. B. J., Evangelista, H., Soutullo, Á., Azcune, G., et al. (2021) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.142066 · Cited by 22
Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library
Santana-Pereira, A. L. R., Sandoval-Powers, M., Monsma, S. A., Zhou, J., Santos, S. R., Mead, D. A., & Liles, M. R. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.585398 · Cited by 34
“the library NGS, it is not surprising that a greater number of phyla were observed; however, these ribotypes identified sole from library NGS are affiliated with six classes of Patescibacteria, in addition to Armatimonadetes, Abditibacteria and Candidate division WS 2, all of which were also not identified from the or…”
BackgrounduBin – a manual refining tool for metagenomic bins designed for educational purposesPreprint
Bornemann, T., Esser, S., Stach, T., Burg, T., & Probst, A. (2020) · bioRxiv · doi:10.1101/2020.07.15.204776 · Cited by 22
Carnevali, P. B. M., Lavy, A., Thomas, A., Crits-Christoph, A., Diamond, S., Méheust, R., Olm, M., Sharrar, A., Lei, S.-F., Dong, W., et al. (2020) · bioRxiv · doi:10.1101/2020.05.14.086363 · Cited by 22
“py [44], and contigs that fell below the 1-Kb length minimum after this step were removed from the bins.”
BackgroundSelf-citationMarker genes as predictors of shared genomic function
Sevigny, J. L., Rothenheber, D., Diaz, K., Zhang, Y., Agustsson, K., Bergeron, R., & Thomas, W. (2019) · BMC Genomics · doi:10.1186/s12864-019-5641-1 · Cited by 22
Metadata
- Authors
- Brown, C. T., Hug, L. A., Thomas, B. C., Sharon, I., Castelle, C. J., Singh, A., Wilkins, M. J., Wrighton, K. C., Williams, K. H., & Banfield, J. F.
- Affiliations
- University of California, Berkeley (US)
- The Ohio State University (US)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Banfield, Jillian F.
- ORCID
- Venue
- Nature
- Published
- 2015-06-15
- Volume
- 523
- Issue
- 7559
- Pages
- 208-211
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1528357204
- Cited by
- 1,216
- References
- 63
- Citations by year
- 2026: 56 · 2025: 100 · 2024: 95 · 2023: 125 · 2022: 108 · 2021: 120 · 2020: 144 · 2019: 121 · 2018: 116 · 2017: 104 · 2016: 101 · 2015: 26
- FWCI
- 50.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.osti.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Energy (DESC0004918, DE AC02 05CH11231)
- Joint Genome Institute
- Office of Science
- Biological and Environmental Research
- Pacific Northwest National Laboratory
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- Candidate Phyla Radiation, uncultured bacteria, bacterial evolution, ribosome composition, ribosome biogenesis, self-splicing introns, small genomes, groundwater bacteria, metagenome-assembled genomes, symbionts
- MeSH terms
- Bacteria, Environmental Microbiology, Introns, Phylogeny, Ribosomal Proteins, RNA, Ribosomal, 16S, Genome, Bacterial
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review