The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Gut microbiota mediate caffeine detoxification in the primary insect pest of coffee
Open accessAbstract
The coffee berry borer (Hypothenemus hampei) is the most devastating insect pest of coffee worldwide with its infestations decreasing crop yield by up to 80%. Caffeine is an alkaloid that can be toxic to insects and is hypothesized to act as a defence mechanism to inhibit herbivory. Here we show that caffeine is degraded in the gut of H. hampei, and that experimental inactivation of the gut microbiota eliminates this activity. We demonstrate that gut microbiota in H. hampei specimens from seven major coffee-producing countries and laboratory-reared colonies share a core of microorganisms. Globally ubiquitous members of the gut microbiota, including prominent Pseudomonas species, subsist on caffeine as a sole source of carbon and nitrogen. Pseudomonas caffeine demethylase genes are expressed in vivo in the gut of H. hampei, and re-inoculation of antibiotic-treated insects with an isolated Pseudomonas strain reinstates caffeine-degradation ability confirming their key role.
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
Thompson, J. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.24.4876 · Cited by 38,993
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
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,826
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,885
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Self-citationUltra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
Gouy, M., Guindon, S., & Gascuel, O. (2010) · Molecular Biology and Evolution · doi:10.1093/molbev/msp259 · Cited by 5,782
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
Cole, J. R., Wang, Q., Cardenas, E., Fish, J., Chai, B., Farris, R. J., Kulam-Syed-Mohideen, A. S., McGarrell, D. M., Marsh, T., Garrity, G. M., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn879 · Cited by 4,762
PyNAST: a flexible tool for aligning sequences to a template alignment
Caporaso, J. G., Bittinger, K., Bushman, F. D., DeSantis, T. Z., Andersen, G. L., & Knight, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp636 · Cited by 3,396
Mendes, R., Garbeva, P., & Raaijmakers, J. M. (2013) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12028 · Cited by 2,820
Kind, T., Wohlgemuth, G., Lee, D. Y., Lu, Y., Palazoglu, M., Shahbaz, S., & Fiehn, O. (2009) · Analytical Chemistry · doi:10.1021/ac9019522 · Cited by 1,482
Ingham, R. E., Trofymow, J. A., Ingham, E. R., & Coleman, D. C. (1985) · Ecological Monographs · doi:10.2307/1942528 · Cited by 1,170
Has the Microbiota Played a Critical Role in the Evolution of the Adaptive Immune System?
Lee, Y. K., & Mazmanian, S. K. (2010) · Science · doi:10.1126/science.1195568 · Cited by 1,121
Commensal bacteria play a role in mating preference of Drosophila melanogaster
Sharon, G., Segal, D., Ringo, J. M., Hefetz, A., Zilber-Rosenberg, I., & Rosenberg, E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009906107 · Cited by 832
Impact of training sets on classification of high-throughput bacterial 16s rRNA gene surveys
Werner, J. J., Koren, O., Hugenholtz, P., DeSantis, T. Z., Walters, W. A., Caporaso, J. G., Angenent, L. T., Knight, R., & Ley, R. E. (2012) · The ISME Journal · doi:10.1038/ismej.2011.82 · Cited by 607
Animal Behavior and the Microbiome
Ezenwa, V. O., Gerardo, N. M., Inouye, D. W., Medina, M., & Xavier, J. B. (2012) · Science · doi:10.1126/science.1227412 · Cited by 522
An annotated taxonomic conspectus of the genus Coffea (Rubiaceae)
DAVIS, A. P., GOVAERTS, R., BRIDSON, D. M., & STOFFELEN, P. (2006) · Botanical Journal of the Linnean Society · doi:10.1111/j.1095-8339.2006.00584.x · Cited by 495
Caffeine in Floral Nectar Enhances a Pollinator's Memory of Reward
Wright, G. A., Baker, D. D., Palmer, M. J., Stabler, D., Mustard, J. A., Power, E. F., Borland, A. M., & Stevenson, P. C. (2013) · Science · doi:10.1126/science.1228806 · Cited by 369
Brune, A., Emerson, D., & Breznak, J. A. (1995) · Applied and Environmental Microbiology · doi:10.1128/aem.61.7.2681-2687.1995 · Cited by 330
Caffeine and Related Methylxanthines: Possible Naturally Occurring Pesticides
Nathanson, J. A. (1984) · Science · doi:10.1126/science.6207592 · Cited by 325
Caffeine: a well known but little mentioned compound in plant science
Ashihara, H., & Crozier, A. (2001) · Trends in Plant Science · doi:10.1016/s1360-1385(01)02055-6 · Cited by 300
Attraction, deterrence or intoxication of bees (Apis mellifera) by plant allelochemicals
Detzel, A., & Wink, M. (1993) · Chemoecology · doi:10.1007/bf01245891 · Cited by 294
Nitrogen Fixation by Symbiotic and Free-Living Spirochetes
Lilburn, T. G., Kim, K. S., Ostrom, N. E., Byzek, K. R., Leadbetter, J. R., & Breznak, J. A. (2001) · Science · doi:10.1126/science.1060281 · Cited by 285
Davis, A. P., Tosh, J., Ruch, N., & Fay, M. F. (2011) · Botanical Journal of the Linnean Society · doi:10.1111/j.1095-8339.2011.01177.x · Cited by 283
Economic impact of exotic insect pests in Brazilian agriculture
Oliveira, C. M., Auad, A. M., Mendes, S. M., & Frizzas, M. R. (2013) · Journal of Applied Entomology · doi:10.1111/jen.12018 · Cited by 224
Adaptive horizontal transfer of a bacterial gene to an invasive insect pest of coffee
Acuña, R., Padilla, B. E., Flórez-Ramos, C. P., Rubio, J. D., Herrera, J. C., Benavides, P., Lee, S.-J., Yeats, T. H., Egan, A. N., Doyle, J. J., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121190109 · Cited by 213
Caffeine as a repellent for slugs and snails
Hollingsworth, R. G., Armstrong, J. W., & Campbell, E. (2002) · Nature · doi:10.1038/417915a · Cited by 165
Microbial and enzymatic methods for the removal of caffeine
Gokulakrishnan, S., Krishnan, C., & Gummadi, S. N. (2005) · Enzyme and Microbial Technology · doi:10.1016/j.enzmictec.2005.03.004 · Cited by 145
Paradkar, M. M., & Irudayaraj, J. (2002) · Journal of Food Science · doi:10.1111/j.1365-2621.2002.tb08767.x · Cited by 124
Summers, R. M., Louie, T. M., Yu, C.-L., Gakhar, L., Louie, K., & Subramanian, M. V. (2012) · Journal of Bacteriology · doi:10.1128/jb.06637-11 · Cited by 114
Uefuji, H., Tatsumi, Y., Morimoto, M., et al. (2005) · Plant Molecular Biology · doi:10.1007/s11103-005-8520-x · Cited by 96
Transgenic tobacco plants producing caffeine: a potential new strategy for insect pest control
Kim, Y., Uefuji, H., Ogita, S., et al. (2006) · Transgenic Research · doi:10.1007/s11248-006-9006-6 · Cited by 92
Genome-Wide Screen of Genes Required for Caffeine Tolerance in Fission Yeast
Calvo, I. A., Gabrielli, N., Iglesias-Baena, I., García‐Santamarina, S., Hoe, K., Kim, D. U., Sansó, M., Zuin, A., Pérez, P., Ayté, J., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006619 · Cited by 88
Interspecific evolution: microbial symbiosis, endosymbiosis and gene transfer
Hoffmeister, M., & Martin, W. F. (2003) · Environmental Microbiology · doi:10.1046/j.1462-2920.2003.00454.x · Cited by 77
Distribution, Biosynthesis and Catabolism of Methylxanthines in Plants
Ashihara, H., Kato, M., & Crozier, A. (2010) · Handbook of experimental pharmacology · doi:10.1007/978-3-642-13443-2_2 · Cited by 65
Gauthier, N. (2010) · Biological Journal of the Linnean Society · doi:10.1111/j.1095-8312.2010.01483.x · Cited by 44
Abdelkader, T. S., Chang, S., Kim, T., Song, J., Kim, D. S., & Park, J. (2012) · Journal of Applied Toxicology · doi:10.1002/jat.2787 · Cited by 41
Caffeine and Resistance of Coffee to the Berry Borer Hypothenemus hampei (Coleoptera: Scolytidae)
Filho, O. G., & Mazzafera, P. (2003) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf0347968 · Cited by 40
Metabolism of caffeine-3H in the rat*1, *2
KHANNA, K. (1972) · Toxicology and Applied Pharmacology · doi:10.1016/0041-008x(72)90112-3 · Cited by 38
Cited by
Caterpillars lack a resident gut microbiome
Hammer, T. J., Janzen, D. H., Hallwachs, W., Jaffe, S. P., & Fierer, N. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707186114 · Cited by 481
Gut Microbiotas and Host Evolution: Scaling Up Symbiosis
Shapira, M. (2016) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2016.03.006 · Cited by 448
Plant secondary metabolites in nectar: impacts on pollinators and ecological functions
Stevenson, P. C., Nicolson, S. W., & Wright, G. A. (2017) · Functional Ecology · doi:10.1111/1365-2435.12761 · Cited by 320
Neave, M. J., Michell, C. T., Apprill, A., & Voolstra, C. R. (2017) · Scientific Reports · doi:10.1038/srep40579 · Cited by 264
Li, G., Shi, M., Zhao, S., Li, D., Long, Y., Yang, C., & Zhu, Y. (2020) · Gene · doi:10.1016/j.gene.2019.144197 · Cited by 18
Metadata
- Authors
- Ceja-Navarro, J. A., Vega, F. E., Karaoz, U., Hao, Z., Jenkins, S., Lim, H. C., Kosina, P., Infante, F., Northen, T. R., & Brodie, E. L.
- Venue
- Nature Communications
- Published
- 2015-07-14
- Volume
- 6
- Issue
- 1
- Pages
- 7618-7618
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2267285071
- Cited by
- 512
- References
- 41
- FWCI
- 28.07
- 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
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.