The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Global biogeography of microbial nitrogen-cycling traits in soil
Open accessAbstract
Microorganisms drive much of the Earth’s nitrogen (N) cycle, but we still lack a global overview of the abundance and composition of the microorganisms carrying out soil N processes. To address this gap, we characterized the biogeography of microbial N traits, defined as eight N-cycling pathways, using publically available soil metagenomes. The relative frequency of N pathways varied consistently across soils, such that the frequencies of the individual N pathways were positively correlated across the soil samples. Habitat type, soil carbon, and soil N largely explained the total N pathway frequency in a sample. In contrast, we could not identify major drivers of the taxonomic composition of the N functional groups. Further, the dominant genera encoding a pathway were generally similar among habitat types. The soil samples also revealed an unexpectedly high frequency of bacteria carrying the pathways required for dissimilatory nitrate reduction to ammonium, a little-studied N process in soil. Finally, phylogenetic analysis showed that some microbial groups seem to be N-cycling specialists or generalists. For instance, taxa within the Deltaproteobacteria encoded all eight N pathways, whereas those within the Cyanobacteria primarily encoded three pathways. Overall, this trait-based approach provides a baseline for investigating the relationship between microbial diversity and N cycling across global soils.
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Cites
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Biodiversity loss and its impact on humanity
Cardinale, B. J., Duffy, J. E., Gonzalez, A., Hooper, D. U., Perrings, C., Venail, P., Narwani, A., Mace, G. M., Tilman, D., Wardle, D. A., et al. (2012) · Nature · doi:10.1038/nature11148 · Cited by 7,457 · cited 2×
“Environmental change is altering the distribution of biodiversity, which in turn is a key driver of biogeochemical processes (2, 3).”
BackgroundThe diversity and biogeography of soil bacterial communities
Fierer, N., & Jackson, R. B. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507535103 · Cited by 5,711
Van Der Heijden, M. G. A., Bardgett, R. D., & Van Straalen, N. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01139.x · Cited by 5,053
Prokaryotes: The unseen majority
Whitman, W. B., Coleman, D. C., & Wiebe, W. J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.6578 · Cited by 4,871 · cited 1×
“Microbes catalyze most of the biological transformations of the major elements of life (7), and because of their sheer abundance they account for a large pool of elements in living matter (8).”
BackgroundLauber, C. L., Hamady, M., Knight, R., & Fierer, N. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.00335-09 · Cited by 4,063
The Microbial Engines That Drive Earth's Biogeochemical Cycles
Falkowski, P. G., Fenchel, T., & Delong, E. F. (2008) · Science · doi:10.1126/science.1153213 · Cited by 3,379
Mac Nally, R. (2002) · Biodiversity & Conservation · doi:10.1023/a:1016250716679 · Cited by 554
Rocca, J. D., Hall, E. K., Lennon, J. T., Evans, S. E., Waldrop, M. P., Cotner, J. B., Nemergut, D. R., Graham, E. B., & Wallenstein, M. D. (2015) · The ISME Journal · doi:10.1038/ismej.2014.252 · Cited by 398
Cited by
Jiao, S., Chen, W., Wang, J., Du, N., Li, Q., & Wei, G. (2018) · Microbiome · doi:10.1186/s40168-018-0526-0 · Cited by 759
Microbial indicators for soil quality
Schloter, M., Nannipieri, P., Sørensen, S. J., & van Elsas, J. D. (2018) · Biology and Fertility of Soils · doi:10.1007/s00374-017-1248-3 · Cited by 540
Tu, Q., Lin, L., Cheng, L., Deng, Y., & He, Z. (2019) · Bioinformatics · doi:10.1093/bioinformatics/bty741 · Cited by 470
The molecular processes of urea hydrolysis in relation to ammonia emissions from agriculture
Sigurdarson, J. J., Svane, S., & Karring, H. (2018) · Reviews in Environmental Science and Bio/Technology · doi:10.1007/s11157-018-9466-1 · Cited by 336
Zheng, H., Wang, X., Chen, L., Wang, Z., Xia, Y., Zhang, Y., Wang, H., Luo, X., & Xing, B. (2018) · Plant, Cell & Environment · doi:10.1111/pce.12944 · Cited by 328
Metadata
- Authors
- Nelson, M. B., Martiny, A. C., & Martiny, J. B. H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2016-07-18
- Volume
- 113
- Issue
- 29
- Pages
- 8033-8040
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2477618789
- Cited by
- 569
- References
- 11
- FWCI
- 28.82
- Type
- journal article
- Language
- en
- Open access
- green
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