The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
Impact of Next-Generation Sequencing Technology in Plant–Microbe Interaction Study
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“Recent rapid developments in soil biology have prompted the feasibility of indicators based on genotypic and phenotypic community diversity (Hartmann et al., 2015; Kumari et al., 2017; Nielsen and Winding, 2002; Ritz et al., 2009).”
From Soil quality – A critical review (2018) · cites this paper as Kumari et al., 2017
Citations
Cites
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
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
The rhizosphere microbiome and plant health
Berendsen, R. L., Pieterse, C. M. J., & Bakker, P. A. H. M. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2012.04.001 · Cited by 5,347
Mycorrhizal fungal diversity determines plant biodiversity, ecosystem variability and productivity
van der Heijden, M. G. A., Klironomos, J. N., Ursic, M., Moutoglis, P., Streitwolf‐Engel, R., Böller, T., Wiemken, A., & Sanders, I. R. (1998) · Nature · doi:10.1038/23932 · Cited by 3,587
Structure and functions of the bacterial microbiota of plants
Bulgarelli, D., Schlaeppi, K., Spaepen, S., van Themaat, E. V. L., & Schulze-Lefert, P. (2013) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-050312-120106 · Cited by 3,308
Peng, Y., Leung, H. C. M., Yiu, S., & Chin, F. Y. L. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts174 · Cited by 2,998
Mendes, R., Garbeva, P., & Raaijmakers, J. M. (2013) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12028 · Cited by 2,964
Defining the core Arabidopsis thaliana root microbiome
Lundberg, D. S., Lebeis, S. L., Paredes, S. H., Yourstone, S., Gehring, J., Malfatti, S., Tremblay, J., Engelbrektson, A., Kunin, V., Rio, T. G. D., et al. (2012) · Nature · doi:10.1038/nature11237 · Cited by 2,879
Deciphering the Rhizosphere Microbiome for Disease-Suppressive Bacteria
Mendes, R., Kruijt, M., de Bruijn, I., Dekkers, E., van der Voort, M., Schneider, J. H. M., Piceno, Y. M., DeSantis, T. Z., Andersen, G. L., Bakker, P. A. H. M., et al. (2011) · Science · doi:10.1126/science.1203980 · Cited by 2,866
Revealing structure and assembly cues for Arabidopsis root-inhabiting bacterial microbiota
Bulgarelli, D., Rott, M., Schlaeppi, K., van Themaat, E. V. L., Brocke‐Ahmadinejad, N., Assenza, F., Rauf, P., Hüettel, B., Reinhardt, R., Schmelzer, E., et al. (2012) · Nature · doi:10.1038/nature11336 · Cited by 2,581
Research works printed but not linked: 1
- Yergeau E, Sanschagrin S, Maynard C, St-Arnaud M, Greer CW (2014b) Microbial expression profiles in the rhizosphere of willows depend on soil contamination. ISME J 8:344–358. doi: 10.1038/ismej.2013.163 · DOI
Cited by
Soil quality – A critical review
Bünemann, E. K., Bongiorno, G., Bai, Z., Creamer, R. E., De Deyn, G., de Goede, R., Fleskens, L., Geissen, V., Kuyper, T. W., Mäder, P., et al. (2018) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2018.01.030 · Cited by 2,960
Metadata
- Authors
- Kumari, A., Sumer, S., Jalan, B., Nongbri, P. L., & Laskar, M. A.
- Affiliations
- St. Anthony's College (IN)
- Corresponding author
- Kumari, Archana
- Venue
- Microbial Applications Vol.1
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 269-294
- OpenAlex
- W2604359212
- Cited by
- 13
- References
- 115
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 2 · 2020: 5 · 2018: 1
- FWCI
- 3.03
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant-Microbe Interactions and Immunity
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- next-generation sequencing, plant-microbe interactions, microbial communities, amplicon sequencing, sequencing errors, high-throughput sequencing data analysis
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.
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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.
