The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Soil pH is the primary factor driving the distribution and function of microorganisms in farmland soils in northeastern China
Open accessAbstract
Purpose: To understand which environmental factors influence the distribution and ecological functions of bacteria in agricultural soil. Method: A broad range of farmland soils was sampled from 206 locations in Jilin province, China. We used 16S rRNA gene-based Illumina HiSeq sequencing to estimated soil bacterial community structure and functions. Result: The dominant taxa in terms of abundance were found to be, Actinobacteria, Acidobacteria, Gemmatimonadetes, Chloroflexi, and Proteobacteria. Bacterial communities were dominantly affected by soil pH, whereas soil organic carbon did not have a significant influence on bacterial communities. Soil pH was significantly positively correlated with bacterial operational taxonomic unit abundance and soil bacterial α-diversity (P<0.05) spatially rather than with soil nutrients. Bacterial functions were estimated using FAPROTAX, and the relative abundance of anaerobic and aerobic chemoheterotrophs, and nitrifying bacteria was 27.66%, 26.14%, and 6.87%, respectively, of the total bacterial community. Generally, the results indicate that soil pH is more important than nutrients in shaping bacterial communities in agricultural soils, including their ecological functions and biogeographic distribution.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
UCHIME improves sensitivity and speed of chimera detection
Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C., & Knight, R. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr381 · Cited by 15,114
The 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
The microbial nitrogen-cycling network
Kuypers, M. M. M., Marchant, H. K., & Kartal, B. (2018) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2018.9 · Cited by 4,490
Decoupling function and taxonomy in the global ocean microbiome
Louca, S., Parfrey, L. W., & Doebeli, M. (2016) · Science · doi:10.1126/science.aaf4507 · Cited by 3,510
Microbial diversity drives multifunctionality in terrestrial ecosystems
Delgado-Baquerizo, M., Maestre, F. T., Reich, P. B., Jeffries, T. C., Gaitan, J. J., Encinar, D., Berdugo, M., Campbell, C. D., & Singh, B. K. (2016) · Nature Communications · doi:10.1038/ncomms10541 · Cited by 2,624
Structure and function of the global topsoil microbiome
Bahram, M., Hildebrand, F., Forslund, S. K., Anderson, J. L., Soudzilovskaia, N. A., Bodegom, P. M., Bengtsson-Palme, J., Anslan, S., Coelho, L. P., Harend, H., et al. (2018) · Nature · doi:10.1038/s41586-018-0386-6 · Cited by 2,538
Function and functional redundancy in microbial systems
Louca, S., Polz, M. F., Mazel, F., Albright, M. B. N., Huber, J. A., O’Connor, M. I., Ackermann, M., Hahn, A. S., Srivastava, D. S., Crowe, S. A., et al. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0519-1 · Cited by 2,207
Microbial diversity and function in soil: from genes to ecosystems
Torsvik, V., & Øvreås, L. (2002) · Current Opinion in Microbiology · doi:10.1016/s1369-5274(02)00324-7 · Cited by 1,922
Metadata
- Authors
- Wang, C.-Y., Zhou, X., Guo, D., Zhao, J.-H., Yan, L., Feng, G.-Z., Gao, Q., Yu, H., & Zhao, L.-P.
- Venue
- Annals of Microbiology
- Published
- 2019-12
- Volume
- 69
- Issue
- 13
- Pages
- 1461-1473
- ISSN
- 0003-4649 (ISSN-L)
- 1590-4261
- 1869-2044
- OpenAlex
- W2996144369
- Cited by
- 287
- References
- 44
- FWCI
- 11.14
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Soil pH is the primary factor driving the distribution and function of microorganisms in farmland soils in northeastern China. https://app.cochat.ai/papers/10.1007/s13213-019-01529-9
- The paper
- Wang, C.-Y., Zhou, X., Guo, D., Zhao, J.-H., Yan, L., Feng, G.-Z., Gao, Q., Yu, H., & Zhao, L.-P. (2019). Soil pH is the primary factor driving the distribution and function of microorganisms in farmland soils in northeastern China. Annals of Microbiology. https://doi.org/10.1007/s13213-019-01529-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.