Skip to main content
Microbiology Resource Announcements logoLink to Microbiology Resource Announcements
. 2022 Aug 8;11(9):e00360-22. doi: 10.1128/mra.00360-22

Draft Metagenome-Assembled Genome Sequences of Three Novel Ammonia-Oxidizing Nitrososphaera Strains Recovered from Agricultural Soils in Western Colorado

Arsen Yerlan a, Rebecca A Daly a, Reza Keshavarz Afshar b,*, Michael Shaffer a,§, Kelly C Wrighton a,, Bridget B McGivern a,
Editor: Irene L G Newtonc
PMCID: PMC9476989  PMID: 35938822

ABSTRACT

Microbial nitrification is critical to nitrogen loss from agricultural soils. Here, we report three thaumarchaeotal metagenome-assembled genomes (MAGs) representing a new species of Nitrososphaera. These genomes expand the representation of archaeal nitrifiers recovered from arid, agricultural soils.

ANNOUNCEMENT

Ammonium- or urea-based fertilizers are the dominant form of applied nitrogen in agricultural systems (1). Ammonia-oxidizing bacteria and archaea (AOA) are recognized as partially controlling the fate of this nitrogen through nitrification, rapidly converting ammonium to nitrate, which is more mobile and can lead to substantial nitrous oxide (N2O) production (13). The AOA are classified as Thermoproteota (formerly Thaumarchaeota) and have been primarily tracked by marker gene sequencing in soil (4). Here, we report three metagenome-assembled genomes (MAGs) for a novel Nitrososphaera species recovered from agricultural soil in western Colorado.

Soil samples were collected from the Western Colorado Research Center (Fruita, CO, USA; 39°10′47.9994″, −108°42′0″) in February 2021. Surface (0- to 5-cm) soil samples were taken from fallow agricultural plots managed under conventional tillage (n = 1) and an untilled system (n = 1). DNA was extracted from 0.4 g of each soil using the Zymo Quick-DNA fecal/soil microbe microprep kit, following the soil protocol. Metagenomic libraries were prepared using the Tecan Ovation Ultralow v2 system and were sequenced on the NovaSeq 6000 platform on a S4 flow cell at Genomics Shared Resource, Colorado Cancer Center (Denver, CO, USA). The untilled and tilled metagenomes comprised 37.9 Gbp and 28.5 Gbp of 150-bp paired-end reads, respectively. For each metagenome, the read quality was determined using FastQC v0.11.2 (5), the reads were trimmed using Sickle v1.33 (pe -t sanger) (6) and assembled using MEGAHIT v1.2.9 (–k-min 31 –k-max 121 –k-step 10 –mem-flag 1) (7), and the contigs were binned using MetaBat2 v2.12.1 (8). The MAG quality was assessed using CheckM v1.1.2 (9), and the taxonomy was assigned using GTDB-tk v1.5.0 (r202) (10). MAG annotation was performed using DRAM (11) within KBase (12). Default parameters were used unless noted. Two of the Nitrososphaera MAGs (WCRC_1 and WCRC_3) were recovered from the conventional tilled soil metagenome and the other (WCRC_2) from the untilled soil metagenome.

The three MAGs were assigned to a new species in the genus Nitrososphaera using GTDB-tk, where there are currently 14 Nitrososphaera genomic representatives across seven species (GTDB-tk r202) (Fig. 1). The pairwise amino acid identity is 97.67% between the three MAGs, suggesting that they are members of the same species (13). The statistics of these three MAGs are presented in Table 1.

FIG 1.

FIG 1

Phylogenetic tree based on the WCRC Nitrososphaera MAGs and GTDB-tk r202 Nitrososphaera species representatives. The tree is rooted on the species representatives of g_Nitrosocosmicus. The GTDB-tk de_novo_wf workflow was used to generate a multiple-sequence alignment (MSA) using g_Nitrosocosmicus as the outgroup and filtering to g_Nitrososphaera. The resulting MSA was used to construct a maximum likelihood phylogenetic tree using RAxML v8.2.9 (15) with the PROTGAMMAWAG model and 100 bootstraps. Bootstraps for the nodes were all greater than 90% and are sized according to the legend.

TABLE 1.

Metagenome-assembled genome statistics for WCRC_1, WCRC_2, and WCRC_3

Characteristic Data for strain:
WCRC_1 WCRC_2 WCRC_3
Origin soil management Conventional till Untilled Conventional till
BioSample accession no. SAMN26177291 SAMN26177292 SAMN26177293
Genome size (bp) 1,081,057 1,177,263 876,390
No. of contigs 154 181 123
GC content (%) 44.6 44.4 44.7
Longest contig (bp) 29,717 25,749 20,557
N50 (bp) 8,096 7,090 7,633
Completeness (%) 78.8 83.5 71.36
Contamination (%) 1.94 2.91 0.97
No. of predicted coding genes 1,275 1,395 1,050
No. of tRNAs 28 25 20
Encoded rRNA 5S
Mean base coverage (×) 6.05 6.28 10.04

Genome annotation of the Nitrososphaera MAGs supported their roles as AOA. All MAGs encoded the B and C subunits of ammonia monooxygenase (EC 1.14.99.39). While the A subunit is missing across the MAGs, this is likely due to the known challenge of assembling this gene and the incomplete nature of these MAGs (Table 1). In accordance with other observed Thaumarchaeota, hydroxylamine oxidase was absent across the MAGs, while WCRC_1 encoded nitrite reductase (14). Collectively, these MAGs provide genomic context for a novel species of ammonia-oxidizing Nitrososphaera derived from agricultural soils.

Data availability.

The sequencing data for this project have been deposited at GenBank under BioProject accession number PRJNA725542. The MAGs have been deposited under BioSample accession numbers SAMN26177291, SAMN26177292, and SAMN26177293. The metagenomic reads have been deposited in the Sequence Read Archive under accession numbers SRS11831377 and SRS11831378.

ACKNOWLEDGMENTS

We thank Katrina Deiner at the Genomics Core at the University of Colorado Anschutz Medical Campus for sequencing expertise. We also thank the students of the Soil Microbiome Research Experience course (SOCR 481A-5) for their support during data analysis. Finally, we thank the DOE Systems Biology Knowledgebase (KBase) educational team, specifically Elisha Wood-Charlson and Ellen Dow, for assistance with data ingestion into KBase.

KBase is supported 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. B.B.M. and K.C.W. were fully or partially supported by an Early Career Award to K.C.W. from the National Science Foundation under award number 1912915.

Contributor Information

Kelly C. Wrighton, Email: kelly.wrighton@colostate.edu.

Bridget B. McGivern, Email: bridget.mcgivern@colostate.edu.

Irene L. G. Newton, Indiana University, Bloomington

REFERENCES

  • 1.Wendeborn S. 2020. The chemistry, biology, and modulation of ammonium nitrification in soil. Angew Chem Int Ed Engl 59:2182–2202. doi: 10.1002/anie.201903014. [DOI] [PubMed] [Google Scholar]
  • 2.Clark IM, Hughes DJ, Fu Q, Abadie M, Hirsch PR. 2021. Metagenomic approaches reveal differences in genetic diversity and relative abundance of nitrifying bacteria and archaea in contrasting soils. Sci Rep 11:15905. doi: 10.1038/s41598-021-95100-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Tian H, Xu R, Canadell JG, Thompson RL, Winiwarter W, Suntharalingam P, Davidson EA, Ciais P, Jackson RB, Janssens-Maenhout G, Prather MJ, Regnier P, Pan N, Pan S, Peters GP, Shi H, Tubiello FN, Zaehle S, Zhou F, Arneth A, Battaglia G, Berthet S, Bopp L, Bouwman AF, Buitenhuis ET, Chang J, Chipperfield MP, Dangal SRS, Dlugokencky E, Elkins JW, Eyre BD, Fu B, Hall B, Ito A, Joos F, Krummel PB, Landolfi A, Laruelle GG, Lauerwald R, Li W, Lienert S, Maavara T, MacLeod M, Millet DB, Olin S, Patra PK, Prinn RG, Raymond PA, Ruiz DJ, van der Werf GR, et al. 2020. A comprehensive quantification of global nitrous oxide sources and sinks. Nature 586:248–256. doi: 10.1038/s41586-020-2780-0. [DOI] [PubMed] [Google Scholar]
  • 4.Huang L, Chakrabarti S, Cooper J, Perez A, John SM, Daroub SH, Martens-Habbena W. 2021. Ammonia-oxidizing archaea are integral to nitrogen cycling in a highly fertile agricultural soil. ISME Commun 1:19. doi: 10.1038/s43705-021-00020-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Andrews S. 2010. FastQC: a quality control tool for high throughput sequence data. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/.
  • 6.Joshi NA, Fass JN. 2011. Sickle: a sliding-window, adaptive, quality-based trimming tool for FastQ files. https://github.com/najoshi/sickle.
  • 7.Li D, Liu C-M, Luo R, Sadakane K, Lam T-W. 2015. MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics 31:1674–1676. doi: 10.1093/bioinformatics/btv033. [DOI] [PubMed] [Google Scholar]
  • 8.Kang DD, Li F, Kirton E, Thomas A, Egan R, An H, Wang Z. 2019. MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies. PeerJ 7:e7359. doi: 10.7717/peerj.7359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi: 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Chaumeil PA, Mussig AJ, Hugenholtz P, Parks DH. 2019. GTDB-Tk: a toolkit to classify genomes with the genome taxonomy database. Bioinformatics 36:1925–1927. doi: 10.1093/bioinformatics/btz848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.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. 2020. DRAM for distilling microbial metabolism to automate the curation of microbiome function. Nucleic Acids Res 48:8883–8900. doi: 10.1093/nar/gkaa621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Arkin AP, Cottingham RW, Henry CS, Harris NL, Stevens RL, Maslov S, Dehal P, Ware D, Perez F, Canon S, Sneddon MW, Henderson ML, Riehl WJ, Murphy-Olson D, Chan SY, Kamimura RT, Kumari S, Drake MM, Brettin TS, Glass EM, Chivian D, Gunter D, Weston DJ, Allen BH, Baumohl J, Best AA, Bowen B, Brenner SE, Bun CC, Chandonia J-M, Chia J-M, Colasanti R, Conrad N, Davis JJ, Davison BH, DeJongh M, Devoid S, Dietrich E, Dubchak I, Edirisinghe JN, Fang G, Faria JP, Frybarger PM, Gerlach W, Gerstein M, Greiner A, Gurtowski J, Haun HL, He F, Jain R, et al. 2018. KBase: the United States Department of Energy Systems Biology Knowledgebase. Nat Biotechnol 36:566–569. doi: 10.1038/nbt.4163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Konstantinidis KT, Rosselló-Móra R, Amann R. 2017. Uncultivated microbes in need of their own taxonomy. ISME J 11:2399–2406. doi: 10.1038/ismej.2017.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zhalnina KV, Dias R, Leonard MT, Dorr de Quadros P, Camargo FAO, Drew JC, Farmerie WG, Daroub SH, Triplett EW. 2014. Genome sequence of Candidatus Nitrososphaera evergladensis from group I.1b enriched from Everglades soil reveals novel genomic features of the ammonia-oxidizing archaea. PLoS One 9:e101648. doi: 10.1371/journal.pone.0101648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Stamatakis A. 2014. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30:1312–1313. doi: 10.1093/bioinformatics/btu033. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The sequencing data for this project have been deposited at GenBank under BioProject accession number PRJNA725542. The MAGs have been deposited under BioSample accession numbers SAMN26177291, SAMN26177292, and SAMN26177293. The metagenomic reads have been deposited in the Sequence Read Archive under accession numbers SRS11831377 and SRS11831378.


Articles from Microbiology Resource Announcements are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES