Open access
Environmental Microbiology
Announcement
8 August 2022

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

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
TABLE 1 Metagenome-assembled genome statistics for WCRC_1, WCRC_2, and WCRC_3
CharacteristicData for strain:
WCRC_1WCRC_2WCRC_3
Origin soil managementConventional tillUntilledConventional till
BioSample accession no.SAMN26177291SAMN26177292SAMN26177293
Genome size (bp)1,081,0571,177,263876,390
No. of contigs154181123
GC content (%)44.644.444.7
Longest contig (bp)29,71725,74920,557
N50 (bp)8,0967,0907,633
Completeness (%)78.883.571.36
Contamination (%)1.942.910.97
No. of predicted coding genes1,2751,3951,050
No. of tRNAs282520
Encoded rRNA5S  
Mean base coverage (×)6.056.2810.04
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.

REFERENCES

1.
Wendeborn S. 2020. The chemistry, biology, and modulation of ammonium nitrification in soil. Angew Chem Int Ed Engl 59:2182–2202.
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.
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.
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.
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.
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.
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.
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.
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.
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.
13.
Konstantinidis KT, Rosselló-Móra R, Amann R. 2017. Uncultivated microbes in need of their own taxonomy. ISME J 11:2399–2406.
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.
15.
Stamatakis A. 2014. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30:1312–1313.

Information & Contributors

Information

Published In

cover image Microbiology Resource Announcements
Microbiology Resource Announcements
Volume 11Number 915 September 2022
eLocator: e00360-22
Editor: Irene L. G. Newton, Indiana University, Bloomington
PubMed: 35938822

History

Received: 12 April 2022
Accepted: 20 July 2022
Published online: 8 August 2022

Contributors

Authors

Arsen Yerlan
Department of Soil and Crop Science, Colorado State University, Fort Collins, Colorado, USA
Department of Soil and Crop Science, Colorado State University, Fort Collins, Colorado, USA
Reza Keshavarz Afshar
Western Colorado Research Center, Fruita, Colorado, USA
Present address: Reza Keshavarz Afshar, Rodale Institute, Kutztown, Pennsylvania, USA.
Michael Shaffer
Department of Soil and Crop Science, Colorado State University, Fort Collins, Colorado, USA
Present address: Michael Shaffer, Merck, Cambridge, Massachusetts, USA.
Department of Soil and Crop Science, Colorado State University, Fort Collins, Colorado, USA
Department of Soil and Crop Science, Colorado State University, Fort Collins, Colorado, USA

Editor

Irene L. G. Newton
Editor
Indiana University, Bloomington

Notes

The authors declare no conflict of interest.

Metrics & Citations

Metrics

Note:

  • For recently published articles, the TOTAL download count will appear as zero until a new month starts.
  • There is a 3- to 4-day delay in article usage, so article usage will not appear immediately after publication.
  • Citation counts come from the Crossref Cited by service.

Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. For an editable text file, please select Medlars format which will download as a .txt file. Simply select your manager software from the list below and click Download.

View Options

Figures

Tables

Media

Share

Share

Share the article link

Share with email

Email a colleague

Share on social media

American Society for Microbiology ("ASM") is committed to maintaining your confidence and trust with respect to the information we collect from you on websites owned and operated by ASM ("ASM Web Sites") and other sources. This Privacy Policy sets forth the information we collect about you, how we use this information and the choices you have about how we use such information.
FIND OUT MORE about the privacy policy