The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Honeybee gut microbiota promotes host weight gain via bacterial metabolism and hormonal signaling
Open accessAbstract
Social bees harbor a simple and specialized microbiota that is spatially organized into different gut compartments. Recent results on the potential involvement of bee gut communities in pathogen protection and nutritional function have drawn attention to the impact of the microbiota on bee health. However, the contributions of gut microbiota to host physiology have yet to be investigated. Here we show that the gut microbiota promotes weight gain of both whole body and the gut in individual honey bees. This effect is likely mediated by changes in host vitellogenin, insulin signaling, and gustatory response. We found that microbial metabolism markedly reduces gut pH and redox potential through the production of short-chain fatty acids and that the bacteria adjacent to the gut wall form an oxygen gradient within the intestine. The short-chain fatty acid profile contributed by dominant gut species was confirmed in vitro. Furthermore, metabolomic analyses revealed that the gut community has striking impacts on the metabolic profiles of the gut compartments and the hemolymph, suggesting that gut bacteria degrade plant polymers from pollen and that the resulting metabolites contribute to host nutrition. Our results demonstrate how microbial metabolism affects bee growth, hormonal signaling, behavior, and gut physicochemical conditions. These findings indicate that the bee gut microbiota has basic roles similar to those found in some other animals and thus provides a model in studies of host-microbe interactions.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Phycocyanin in Arthrospira platensis suppresses oxidative stress and leads to anti-inflammatory and insulin-sensitizing effects [106,107,108].”
From Application of Arthrospira platensis for Medicinal Purposes and the Food Industry: A Review of the Literature (2023) · cites this paper as [108]
Experimental — accuracy not yet measured
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
1 retracted
Million, M., Alou, M. T., Khelaifia, S., Bachar, D., Lagier, J., Dione, N., Brah, S., Hugon, P., Lombard, V., Armougom, F., et al. (2016) · Scientific Reports · doi:10.1038/srep26051 · Cited by 204
RetractedAnalysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
den Besten, G., van Eunen, K., Groen, A. K., Venema, K., Reijngoud, D.-J., & Bakker, B. M. (2013) · Journal of Lipid Research · doi:10.1194/jlr.r036012 · Cited by 5,048
Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour
Cryan, J. F., & Dinan, T. G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3346 · Cited by 4,572
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Short chain fatty acids in human large intestine, portal, hepatic and venous blood
Cummings, J. H., Pomare, E. W., Branch, W. J., Naylor, C. P., & Macfarlane, G. T. (1987) · Gut · doi:10.1136/gut.28.10.1221 · Cited by 3,119
Economic valuation of the vulnerability of world agriculture confronted with pollinator decline
Gallai, N., Salles, J.-M., Settele, J., & Vaissière, B. E. (2009) · Ecological Economics · doi:10.1016/j.ecolecon.2008.06.014 · Cited by 2,955
MetaboAnalyst 3.0—making metabolomics more meaningful
Xia, J., Sinelnikov, I. V., Han, B., & Wishart, D. S. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv380 · Cited by 2,680
Bifidobacteria can protect from enteropathogenic infection through production of acetate
Fukuda, S., Toh, H., Hase, K., Oshima, K., Nakanishi, Y., Yoshimura, K., Tobe, T., Clarke, J. M., Topping, D. L., Suzuki, T., et al. (2011) · Nature · doi:10.1038/nature09646 · Cited by 2,387
The role of the gut microbiota in nutrition and health
Flint, H. J., Scott, K. P., Louis, P., & Duncan, S. H. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.156 · Cited by 2,283
The microbiome and butyrate regulate energy metabolism and autophagy in the mammalian colon
Donohoe, D. R., Garge, N., Zhang, X., Sun, W., O'Connell, T. M., Bunger, M. K., & Bultman, S. J. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.02.018 · Cited by 2,003 · cited 1×
“Short-chain fatty acids (SCFAs), namely acetate, propionate, and butyrate, produced by the gut microbiota as main fermentation products of dietary fiber accumulate in the human colon in concentrations up to 80–130 mM (12) and serve as a major energy source for intestinal epithelial cells (13) or as the main respirator…”
BackgroundUsing MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis
Xia, J., & Wishart, D. S. (2016) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.11 · Cited by 1,560
Kind, T., Wohlgemuth, G., Lee, D. Y., Lü, Y., Palazoglu, M., Shahbaz, S., & Fiehn, O. (2009) · Analytical Chemistry · doi:10.1021/ac9019522 · Cited by 1,486
Xia, J., & Wishart, D. S. (2011) · Nature Protocols · doi:10.1038/nprot.2011.319 · Cited by 1,332
Revealing the Bacterial Butyrate Synthesis Pathways by Analyzing (Meta)genomic Data
Vital, M., Howe, A. C., & Tiedje, J. M. (2014) · mBio · doi:10.1128/mbio.00889-14 · Cited by 1,189
Gut microbial communities of social bees
Kwong, W. K., & Moran, N. A. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.43 · Cited by 982
Self-citationDrosophila Microbiome Modulates Host Developmental and Metabolic Homeostasis via Insulin Signaling
Shin, S. C., Kim, S., You, H., Kim, B., Kim, A. C., Lee, K., Yoon, J., Ryu, J.-H., & Lee, W. (2011) · Science · doi:10.1126/science.1212782 · Cited by 956
Functional diversity within the simple gut microbiota of the honey bee
Engel, P., Martinson, V. G., & Moran, N. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202970109 · Cited by 882
Self-citationSmall molecules from the human microbiota
Donia, M. S., & Fischbach, M. A. (2015) · Science · doi:10.1126/science.1254766 · Cited by 760
Gut microbiota–generated metabolites in animal health and disease
Lee, W.-J., & Hase, K. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1535 · Cited by 756
Gut bacteria that prevent growth impairments transmitted by microbiota from malnourished children
Blanton, L. V., Charbonneau, M. R., Salih, T., Barratt, M. J., Venkatesh, S., Ilkaveya, O., Subramanian, S., Manary, M. J., Trehan, I., Jorgensen, J. M., et al. (2016) · Science · doi:10.1126/science.aad3311 · Cited by 735 · cited 1×
“A similar effect of gut microbiota has been documented in humans and mice (21, 22), and the commensal microbiota also influences the systemic development of Drosophila (23).”
BackgroundFLEXBAR—Flexible Barcode and Adapter Processing for Next-Generation Sequencing Platforms
Dodt, M., Roehr, J. T., Ahmed-Begrich, R., & Dieterich, C. (2012) · Biology · doi:10.3390/biology1030895 · Cited by 721
Wheeler, D. E., Buck, N. A., & Evans, J. D. (2006) · Insect Molecular Biology · doi:10.1111/j.1365-2583.2006.00681.x · Cited by 708
Vitellogenin, juvenile hormone, insulin signaling, and queen honey bee longevity
Corona, M., Velarde, R. A., Remolina, S. C., Moran-Lauter, A., Wang, Y., Hughes, K. A., & Robinson, G. E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701909104 · Cited by 691
Quality control for plant metabolomics: reporting MSI‐compliant studies
Fiehn, O., Wohlgemuth, G., Scholz, M., Kind, T., Lee, D. Y., Lü, Y., Moon, S. M., & Nikolau, B. J. (2008) · The Plant Journal · doi:10.1111/j.1365-313x.2007.03387.x · Cited by 677
Lactobacillus plantarum strain maintains growth of infant mice during chronic undernutrition
Schwarzer, M., Makki, K., Storelli, G., Machuca‐Gayet, I., Šrůtková, D., Hermanová, P. P., Martino, M. E., Balmand, S., Hudcovic, T., Heddi, A., et al. (2016) · Science · doi:10.1126/science.aad8588 · Cited by 609
Establishment of Characteristic Gut Bacteria during Development of the Honeybee Worker
Martinson, V. G., Moy, J. K., & Moran, N. A. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.07810-11 · Cited by 605
Self-citationCospeciation of gut microbiota with hominids
Moeller, A. H., Caro‐Quintero, A., Mjungu, D. C., Georgiev, A. V., Lonsdorf, E. V., Muller, M. N., Pusey, A. E., Peeters, M., Hahn, B. H., & Ochman, H. (2016) · Science · doi:10.1126/science.aaf3951 · Cited by 576
Antibiotic exposure perturbs the gut microbiota and elevates mortality in honeybees
Raymann, K., Shaffer, Z., & Moran, N. A. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2001861 · Cited by 566
Self-citationDynamic microbiome evolution in social bees
Kwong, W. K., Medina, L. A., Koch, H., Sing, K., Soh, E. J. Y., Ascher, J. S., Jaffé, R., & Moran, N. A. (2017) · Science Advances · doi:10.1126/sciadv.1600513 · Cited by 558
Self-citationRoutes of Acquisition of the Gut Microbiota of the Honey Bee Apis mellifera
Powell, J. E., Martinson, V. G., Urban‐Mead, K. R., & Moran, N. A. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.01861-14 · Cited by 557
Self-citationSIGNALING AND FUNCTION OF INSULIN-LIKE PEPTIDES IN INSECTS
Wu, Q., & Brown, M. R. (2005) · Annual Review of Entomology · doi:10.1146/annurev.ento.51.110104.151011 · Cited by 554
Miscellaneous standard methods forApis melliferaresearch
Human, H., Brodschneider, R., Dietemann, V., Dively, G. P., Ellis, J. D., Forsgren, E., Fries, I., Hatjina, F., Hu, F., Jaffé, R., et al. (2013) · Journal of Apicultural Research · doi:10.3896/ibra.1.52.4.10 · Cited by 462
Self-citationGenomics and host specialization of honey bee and bumble bee gut symbionts
Kwong, W. K., Engel, P., Koch, H., & Moran, N. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405838111 · Cited by 426
Self-citationEspey, M. G. (2013) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2012.10.554 · Cited by 396
Metatranscriptomics of the Human Oral Microbiome during Health and Disease
Jorth, P., Turner, K. H., Gumus, P., Nizam, N., Buduneli, N., & Whiteley, M. (2014) · mBio · doi:10.1128/mbio.01012-14 · Cited by 386
Standard methods for maintaining adultApis melliferain cages underin vitrolaboratory conditions
Williams, G. R., Alaux, C., Costa, C., Csáki, T., Doublet, V., Eisenhardt, D., Fries, I., Kühn, R., McMahon, D. P., Mędrzycki, P., et al. (2013) · Journal of Apicultural Research · doi:10.3896/ibra.1.52.1.04 · Cited by 374
Engel, P., Kwong, W. K., McFrederick, Q. S., Anderson, K. E., Barribeau, S. M., Chandler, J., Cornman, R. S., Dainat, J., de Miranda, J. R., Doublet, V., et al. (2016) · mBio · doi:10.1128/mbio.02164-15 · Cited by 356
Self-citationDNA methylation dynamics, metabolic fluxes, gene splicing, and alternative phenotypes in honey bees
Forêt, S., Kucharski, R., Pellegrini, M. A., Feng, S., Jacobsen, S. E., Robinson, G. E., & Maleszka, R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202392109 · Cited by 353
Insulin signaling is involved in the regulation of worker division of labor in honey bee colonies
Ament, S. A., Corona, M., Pollock, H. S., & Robinson, G. E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800630105 · Cited by 349
Khan, M. T., Duncan, S. H., Stams, A. J. M., van Dijl, J. M., Flint, H. J., & Harmsen, H. J. M. (2012) · The ISME Journal · doi:10.1038/ismej.2012.5 · Cited by 343
Worker nutrition and division of labour in honeybees
Toth, A. L., & Robinson, G. E. (2004) · Animal Behaviour · doi:10.1016/j.anbehav.2004.03.017 · Cited by 330
Brune, A., Emerson, D., & Breznak, J. A. (1995) · Applied and Environmental Microbiology · doi:10.1128/aem.61.7.2681-2687.1995 · Cited by 330
Standard methods for virus research in Apis mellifera
de Miranda, J. R., Bailey, L., Ball, B. V., Blanchard, P., Budge, G. E., Chejanovsky, N., Chen, Y., Gauthier, L., Genersch, E., de Graaf, D. C., et al. (2013) · Journal of Apicultural Research · doi:10.3896/ibra.1.52.4.22 · Cited by 328
Kwong, W. K., & Moran, N. A. (2012) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijs.0.044875-0 · Cited by 315
Self-citationMetabolism of Toxic Sugars by Strains of the Bee Gut Symbiont Gilliamella apicola
Zheng, H., Nishida, A. H., Kwong, W. K., Koch, H., Engel, P., Steele, M. I., & Moran, N. A. (2016) · mBio · doi:10.1128/mbio.01326-16 · Cited by 298
Self-citationSucrose responsiveness and behavioral plasticity in honey bees (Apis mellifera)
Scheiner, R., Page, R. E., & Erber, J. (2004) · Apidologie · doi:10.1051/apido:2004001 · Cited by 278
Termite guts: the world's smallest bioreactors
Brune, A. (1998) · Trends in biotechnology · doi:10.1016/s0167-7799(97)01151-7 · Cited by 245
Biomechanics of the movable pretarsal adhesive organ in ants and bees
Federle, W., Brainerd, E. L., McMahon, T. A., & Hölldobler, B. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.111139298 · Cited by 216
A national survey of managed honey bee 2014–2015 annual colony losses in the USA
Seitz, N., Traynor, K. S., Steinhauer, N., Rennich, K., Wilson, M., Ellis, J. D., Rose, R., Tarpy, D. R., Sagili, R. R., Caron, D. M., et al. (2015) · Journal of Apicultural Research · doi:10.1080/00218839.2016.1153294 · Cited by 214
Fiehn, O., Wohlgemuth, G., & Scholz, M. (2005) · Lecture notes in computer science · doi:10.1007/11530084_18 · Cited by 205
Volatile Fatty Acid Production by the Hindgut Microbiota of Xylophagous Termites
Odelson, D. A., & Breznak, J. A. (1983) · Applied and Environmental Microbiology · doi:10.1128/aem.45.5.1602-1613.1983 · Cited by 190
Schonbaum, C. P., Lee, S., & Mahowald, A. P. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.5.1485 · Cited by 189
de Azevedo, S. V., & Hartfelder, K. (2008) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2008.04.009 · Cited by 187
Extensive intra-phylotype diversity in lactobacilli and bifidobacteria from the honeybee gut
Ellegaard, K., Tamarit, D., Javelind, E., Olofsson, T. C., Andersson, S. G. E., & Vásquez, A. (2015) · BMC Genomics · doi:10.1186/s12864-015-1476-6 · Cited by 155
Genome-wide screen identifies host colonization determinants in a bacterial gut symbiont
Powell, J. E., Leonard, S. P., Kwong, W. K., Engel, P., & Moran, N. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1610856113 · Cited by 152
Self-citationThe Bacterium Frischella perrara Causes Scab Formation in the Gut of its Honeybee Host
Engel, P., Bartlett, K. D., & Moran, N. A. (2015) · mBio · doi:10.1128/mbio.00193-15 · Cited by 151
Self-citationBacterial communities associated with four ctenophore genera from the German Bight (North Sea)
Hao, W., Gerdts, G., Peplies, J., & Wichels, A. (2014) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiu006 · Cited by 146
Microbial Regulation of Glucose Metabolism and Cell-Cycle Progression in Mammalian Colonocytes
Donohoe, D. R., Wali, A., Brylawski, B. P., & Bultman, S. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046589 · Cited by 145
Caste-Specific Changes in Honeybee Flight Capacity
Harrison, J. M. (1986) · Physiological Zoology · doi:10.1086/physzool.59.2.30156031 · Cited by 142
Zheng, H., Dietrich, C., Radek, R., & Brune, A. (2015) · Environmental Microbiology · doi:10.1111/1462-2920.12960 · Cited by 138
Self-citationZeitouni, N. E., Chotikatum, S., von Köckritz‐Blickwede, M., & Naim, H. Y. (2016) · Molecular and Cellular Pediatrics · doi:10.1186/s40348-016-0041-y · Cited by 138
Wang, Y., Brent, C. S., Fennern, E. B., & Amdam, G. V. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002779 · Cited by 131
Metabolite Profiling in Blood Plasma
Fiehn, O., & Kind, T. (2007) · Methods in molecular biology · doi:10.1007/978-1-59745-244-1_1 · Cited by 129
Tholen, A., Schink, B., & Brune, A. (2006) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.1997.tb00430.x · Cited by 123
Mechanisms of stable lipid loss in a social insect
Ament, S. A., Chan, Q. W. T., Wheeler, M. M., Nixon, S. E., Johnson, S. P., Rodriguez‐Zas, S. L., Foster, L. J., & Robinson, G. E. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.060244 · Cited by 121
Nilsen, K.-A., Ihle, K. E., Frederick, K., Fondrk, M. K., Smedal, B., Hartfelder, K., & Amdam, G. V. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.050393 · Cited by 113
Body size regulation and insulin-like growth factor signaling
Hyun, S. (2013) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-013-1313-5 · Cited by 100
Standard methods for physiology and biochemistry research inApis mellifera
Hartfelder, K., Bitondi, M. M. G., Brent, C. S., Guidugli-Lazzarini, K. R., Simões, Z. L. P., Stabentheiner, A., Tanaka, É. D., & Wang, Y. (2013) · Journal of Apicultural Research · doi:10.3896/ibra.1.52.1.06 · Cited by 89
Lee, P. O., McLellan, S. L., Graham, L. E., & Young, E. B. (2014) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiu001 · Cited by 73
Vitellogenin in Honey Bee Behavior and Lifespan
Amdam, G. V., Fennern, E. B., & Havukainen, H. (2011) · Springer eBooks · doi:10.1007/978-94-007-2099-2_2 · Cited by 71
Bauer, E., Lampert, N., Mikaelyan, A., Köhler, T., Maekawa, K., & Brune, A. (2014) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiu028 · Cited by 67
Oxygen Affects Gut Bacterial Colonization and Metabolic Activities in a Gnotobiotic Cockroach Model
Tegtmeier, D., Thompson, C. L., Schauer, C., & Brune, A. (2015) · Applied and Environmental Microbiology · doi:10.1128/aem.03130-15 · Cited by 56
Insulin-like peptide response to nutritional input in honey bee workers
Ihle, K. E., Baker, N. A., & Amdam, G. V. (2014) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2014.05.026 · Cited by 55
Community annotation: Procedures, protocols, and supporting tools: Table 1.Preprint
Elsik, C. G., Worley, K. C., Zhang, L., Milshina, N. V., Jiang, H., Reese, J., Childs, K. L., Venkatraman, A., Dickens, C. M., Weinstock, G. M., et al. (2006) · Genome Research · doi:10.1101/gr.5580606 · Cited by 47
Unlocking Mysteries of Gut Sensory Transmission: Is Adenosine the Key?
Christofi, F. L. (2001) · Physiology · doi:10.1152/physiologyonline.2001.16.5.201 · Cited by 36
Physiological Ecology of Stenoxybacter acetivorans , an Obligate Microaerophile in Termite Guts
Wertz, J. T., & Breznak, J. A. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00787-07 · Cited by 29
Insulin Modifies Honeybee Worker Behavior
Mott, C. M., & Breed, M. D. (2012) · Insects · doi:10.3390/insects3041084 · Cited by 27
Metabolite Profiling in Blood Plasma
Fiehn, O., & Kind, T. (2006) · Metabolomics · doi:10.1385/1-59745-244-0:3 · Cited by 14
Menon, R., Shields, M. R., Duong, T., & Sturino, J. M. (2013) · Letters in Applied Microbiology · doi:10.1111/lam.12106 · Cited by 10
Research works printed but not linked: 1
- ; Pollinator Health Task Force Pollinator Partnership Action Plan (The White House, Washington, DC, 2016).
Cited by
Sorted by citations
Taberlet, P., Bonin, A., Zinger, L., & Coissac, É. (2018) · doi:10.1093/oso/9780198767220.001.0001 · Cited by 1,146
Glyphosate perturbs the gut microbiota of honey bees
Motta, E. V. S., Raymann, K., & Moran, N. A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1803880115 · Cited by 702
Self-citationZhu, D., Chen, Q., An, X., Yang, X., Christie, P., Ke, X., Wu, L., & Zhu, Y. (2017) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2017.10.027 · Cited by 567
The role of the gut microbiome in health and disease of adult honey bee workers
Raymann, K., & Moran, N. A. (2018) · Current Opinion in Insect Science · doi:10.1016/j.cois.2018.02.012 · Cited by 515
Self-citationDisentangling metabolic functions of bacteria in the honey bee gut
Kesner, L., Mars, R. A. T., Ellegaard, K., Troilo, M., Sauer, U., & Engel, P. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2003467 · Cited by 414
Metadata
- Authors
- Zheng, H., Powell, J. E., Steele, M. I., Dietrich, C., & Moran, N. A.
- Affiliations
- The University of Texas at Austin (US)
- Siemens Healthineers (Germany) (DE)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-04-18
- Volume
- 114
- Issue
- 18
- Pages
- 4775-4780
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5422775
- OpenAlex
- W2605691951
- Cited by
- 664
- References
- 85
- Citations by year
- 2026: 63 · 2025: 75 · 2024: 91 · 2023: 74 · 2022: 91 · 2021: 83 · 2020: 74 · 2019: 45 · 2018: 59 · 2017: 9
- FWCI
- 47.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- HHS | National Institutes of Health (1R01-GM108477-01)
- DOD | Defense Advanced Research Projects Agency (HR0011-15-C-0095)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect and Pesticide Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect and Arachnid Ecology and Behavior
- Keywords
- honey bee gut microbiota, short-chain fatty acids, gut pH, redox potential, oxygen gradients, insulin signaling, vitellogenin, gustatory response, host-microbe interactions, bee nutrition
- MeSH terms
- Gastrointestinal Microbiome, Animals, Bacteria, Bees, Body Weight, Insect Hormones, Signal Transduction
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
