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
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
Items 201–300 of 656
Liu, Q.-X., Su, Z.-P., Liu, H., Lu, S., Ma, B., Zhao, Y., Hou, Y., & Shi, Z. (2021) · Insects · doi:10.3390/insects12070594 · Cited by 30
Xiao, R., Wang, X., Xie, E., Ji, T., Li, X., Muhammad, A., Yin, X., Hou, Y., & Shi, Z. (2019) · Developmental & Comparative Immunology · doi:10.1016/j.dci.2019.03.013 · Cited by 30
Long‐term effects of antibiotic treatments on honeybee colony fitness: A modelling approach
Bulson, L., Becher, M. A., McKinley, T. J., & Wilfert, L. (2020) · Journal of Applied Ecology · doi:10.1111/1365-2664.13786 · Cited by 29
Didion, E. M., Sabree, Z. L., Kenyon, L. J., Nine, G. A., Hagan, R. W., Osman, S., & Benoit, J. B. (2021) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2021.104295 · Cited by 29
Enterococcus faecium Regulates Honey Bee Developmental Genes
Du, Y., Luo, S., & Zhou, X. Y. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212105 · Cited by 29
The Pass-on Effect of Tetracycline-Induced Honey Bee (Apis mellifera) Gut Community Dysbiosis
Jia, S., Wu, Y., Chen, G., Wang, S., Hu, F., & Zheng, H. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.781746 · Cited by 29
Self-citationHu, Y., D’Amelio, C. L., Béchade, B., Cabuslay, C., Łukasik, P., Sanders, J. G., Price, S. L., Fanwick, E., Powell, S., Moreau, C. S., et al. (2022) · Ecological Monographs · doi:10.1002/ecm.1560 · Cited by 29
Li, G., Tong, Y., Xiao, Y., Huang, S., Zhao, T., & Xia, X. (2023) · Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology · doi:10.1016/j.cbpc.2023.109712 · Cited by 29
Naggar, Y. A., & Wubet, T. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167530 · Cited by 31
Microalgae as a promising and sustainable nutrition source for managed honey bees
Ricigliano, V. A. (2020) · Archives of Insect Biochemistry and Physiology · doi:10.1002/arch.21658 · Cited by 29
Liu, F., Wickham, J. D., Cao, Q., Lu, M., & Sun, J. (2020) · The ISME Journal · doi:10.1038/s41396-020-00740-w · Cited by 29
The driving factors of nematode gut microbiota under long-term fertilization
Zheng, F., Zhu, D., Chen, Q., Bi, Q.-F., Yang, X., O’Connor, P., & Zhu, Y. (2020) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiaa037 · Cited by 28
Bee foraging preferences, microbiota and pathogens revealed by direct shotgun metagenomics of honey
Galanis, A., Vardakas, P., Reczko, M., Harokopos, V., Hatzis, P., Skoulakis, E. M. C., Pavlopoulos, G. A., & Patalano, S. (2022) · Molecular Ecology Resources · doi:10.1111/1755-0998.13626 · Cited by 28
Liu, H., Hall, M., Brettell, L. E., Wang, J., Halcroft, M. T., Nacko, S., Spooner-Hart, R. N., Cook, J. M., Riegler, M., & Singh, B. K. (2023) · Journal of Invertebrate Pathology · doi:10.1016/j.jip.2023.107909 · Cited by 28
Murakami, T., Segawa, T., Takeuchi, N., Sepúlveda, G. B., Labarca, P. P., Kohshima, S., & Hongoh, Y. (2018) · Environmental Microbiology · doi:10.1111/1462-2920.14420 · Cited by 28
Early genistein exposure of California mice and effects on the gut microbiota–brain axis
Marshall, B. L., Liu, Y., Farrington, M. J., Mao, J., Helferich, W. G., Schenk, A. K., Bivens, N. J., Sarma, S. J., Lei, Z., Sumner, L. W., et al. (2019) · Journal of Endocrinology · doi:10.1530/joe-19-0214 · Cited by 29
Genomic features underlying the evolutionary transitions of Apibacter to honey bee gut symbionts
Zhang, W., Zhang, X., Su, Q., Tang, M., Zheng, H., & Zhou, X. Y. (2021) · Insect Science · doi:10.1111/1744-7917.12912 · Cited by 29
Self-citationTang, J., Zuo, W., Guo, L., Han, Z., Yang, C., Han, B., Dai, L., Zhang, X., & Zhou, X. Y. (2024) · Nature Communications · doi:10.1038/s41467-024-51365-y · Cited by 27
Insects and microbes: best friends from the nursery
Chabanol, E., & Gendrin, M. (2024) · Current Opinion in Insect Science · doi:10.1016/j.cois.2024.101270 · Cited by 27
Global Composition of the Bacteriophage Community in Honey Bees
Busby, T. J., Miller, C. R., Moran, N. A., & Leuven, J. T. V. (2022) · mSystems · doi:10.1128/msystems.01195-21 · Cited by 27
Self-citationDeng, B., Wang, G., Yuan, Q., Zhu, J., Xu, C., Zhang, X., & Wang, P. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.157299 · Cited by 27
Lanh, P. T., Dương, B. T. T., Thu, H. T., Hoa, N. T., Yoo, M. S., Cho, Y. S., & Quyền, Đ. V. (2022) · Microorganisms · doi:10.3390/microorganisms10101938 · Cited by 27
Ye, M., Li, X., Yang, F., & Zhou, B. (2023) · Journal of Insect Science · doi:10.1093/jisesa/iead013 · Cited by 27
Liberti, J., Frank, E. T., Kay, T., Kesner, L., Monié--Ibanes, M., Quinn, A., Schmitt, T., Keller, L., & Engel, P. (2024) · mBio · doi:10.1128/mbio.01034-24 · Cited by 27
Honey bee as a model organism to study gut microbiota and diseases
Wang, X., Zhang, X., Zhang, Z., Lang, H., & Zheng, H. (2018) · Drug Discovery Today Disease Models · doi:10.1016/j.ddmod.2019.08.010 · Cited by 31
Self-citationEndosymbionts modulate virus effects on aphid-plant interactions
Sanches, P., Moraes, C. Μ. D., & Mescher, M. C. (2023) · The ISME Journal · doi:10.1038/s41396-023-01549-z · Cited by 26
Anderson, K. E., Allen, N. O., Copeland, D. C., Kortenkamp, O. L., Erickson, R., Mott, B. M., & Oliver, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-52118-z · Cited by 30
Leska, A., Nowak, A., & Czarnecka, K. H. (2022) · Molecules · doi:10.3390/molecules27248945 · Cited by 26
Botina, L. L., Barbosa, W. F., Acosta, J. P. L., Bernardes, R. C., Cortes, J. E. Q., Pylro, V. S., Mendonça, A. C., Barbosa, R. C., Lima, M. A. P., & Martins, G. F. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-27385-4 · Cited by 26
Why do hosts malfunction without microbes? Missing benefits versus evolutionary addiction
Hammer, T. J. (2023) · Trends in Microbiology · doi:10.1016/j.tim.2023.07.012 · Cited by 28
Carbohydrate nutrition associated with health of overwintering honey bees
Quinlan, G. M., Döke, M. A., Ortiz‐Alvarado, Y., Rodriguez-Gomez, N., Koru, Y. B., & Underwood, R. M. (2023) · Journal of Insect Science · doi:10.1093/jisesa/iead084 · Cited by 26
de León, A. V., Jahnes, B. C., Otero-Bravo, A., & Sabree, Z. L. (2021) · mSystems · doi:10.1128/msystems.00802-21 · Cited by 26
Retschnig, G., Rich, J., Crailsheim, K., Pfister, J., Perreten, V., & Neumann, P. (2021) · Apidologie · doi:10.1007/s13592-021-00851-z · Cited by 25
Ma, M., Chen, X., Li, S., Luo, J., Han, R., & Xu, L. (2022) · Microbial Ecology · doi:10.1007/s00248-022-02054-0 · Cited by 25
Damico, M. E., Beasley, B., Greenstein, D., & Raymann, K. (2023) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-023-10203-1 · Cited by 25
Microbiome mediation of animal life histories via metabolites and insulin‐like signalling
Warne, R. W., & Dallas, J. W. (2022) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12833 · Cited by 24
Glutamicibacter halophytocola‐mediated host fitness of potato tuber moth on Solanaceae crops
Wang, W., Xiao, G., Du, G., Chang, L., Yang, Y., Ye, J., & Chen, B. (2022) · Pest Management Science · doi:10.1002/ps.6955 · Cited by 24
Social microbiota and social gland gene expression of worker honey bees by age and climate
Anderson, K. E., & Maes, P. W. (2022) · Scientific Reports · doi:10.1038/s41598-022-14442-0 · Cited by 24
Favaro, R., Garrido, P. M., Bruno, D., Braglia, C., Alberoni, D., Baffoni, L., Tettamanti, G., Porrini, M. P., Gioia, D. D., & Angeli, S. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167277 · Cited by 24
Sauers, L. A., & Sadd, B. M. (2019) · Evolution · doi:10.1111/evo.13853 · Cited by 24
Tola, Y. H., Waweru, J. W., Ndungu, N., Kiatoko, N., Slippers, B., & Paredes, J. C. (2021) · Microorganisms · doi:10.3390/microorganisms9122420 · Cited by 24
Mojgani, N., Bagheri, M., Ashique, S., Islam, A., Moharrami, M., Modirrousta, H., & Hussain, A. (2024) · Microbial Pathogenesis · doi:10.1016/j.micpath.2024.107161 · Cited by 23
Structure of native glycolipoprotein filaments in honeybee royal jelly
Mattei, S., Ban, A., Picenoni, A., Leibundgut, M., Glockshuber, R., & Boehringer, D. (2020) · Nature Communications · doi:10.1038/s41467-020-20135-x · Cited by 23
Hsu, C.-K., Wang, D.-Y., & Wu, M.-C. (2021) · Journal of Fungi · doi:10.3390/jof7070508 · Cited by 23
The promise of probiotics in honeybee health and disease management
Abdi, K., Saïd, M. B., Crotti, E., Masmoudi, A. S., & Cherif, A. (2023) · Archives of Microbiology · doi:10.1007/s00203-023-03416-z · Cited by 25
Vieira‐Potter, V. J., Cross, T.-W., Swanson, K. S., Sarma, S. J., Lei, Z., Sumner, L. W., & Rosenfeld, C. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-35171-3 · Cited by 24
Marasco, R., Fusi, M., Callegari, M., Jucker, C., Mapelli, F., Borin, S., Savoldelli, S., Daffonchio, D. G., & Crotti, E. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.01580-21 · Cited by 22
Haag, K. L., Caesar, L., Regueira‐Neto, M. D. S., de Sousa, D. R., Marcelino, V. M., Balbino, V. D. Q., & Carvalho, A. T. (2022) · Microbial Ecology · doi:10.1007/s00248-022-02027-3 · Cited by 22
Divergence and convergence of gut microbiomes of wild insect pollinators
Li, J., Sauers, L. A., Zhuang, D., Ren, H., Guo, J. L., Wang, L., Zhuang, M., Guo, Y., Zhang, Z., Wu, J., et al. (2023) · mBio · doi:10.1128/mbio.01270-23 · Cited by 22
Ewert, A. M., Simone-Finstrom, M. D., Read, Q. D., Husseneder, C., & Ricigliano, V. A. (2023) · Journal of Insect Science · doi:10.1093/jisesa/iead087 · Cited by 22
Anderson, K. E., & Copeland, D. C. (2024) · Frontiers in Bee Science · doi:10.3389/frbee.2024.1410331 · Cited by 22
Pakwan, C., Kaltenpoth, M., Weiß, B., Chantawannakul, P., Guo, J., & Disayathanoowat, T. (2017) · FEMS Microbiology Ecology · doi:10.1093/femsec/fix160 · Cited by 22
Kline, O., & Joshi, N. K. (2024) · Journal of Xenobiotics · doi:10.3390/jox14020043 · Cited by 22
Temporospatial dynamics and host specificity of honeybee gut bacteria
Luo, S., Zhang, X., & Zhou, X. Y. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114408 · Cited by 21
Sonter, C. A., Rader, R., Stevenson, G. J., Stavert, J. R., & Wilson, S. C. (2021) · Integrated Environmental Assessment and Management · doi:10.1002/ieam.4421 · Cited by 22
Li, G., Sun, J., Meng, Y., Yang, C., Chen, Z., Wu, Y., Tian, L., Song, F., Cai, W., Zhang, X., et al. (2022) · Biology · doi:10.3390/biology11071039 · Cited by 21
Wang, H., Li, L., Chen, W., Chi, X., Han, K., Wang, Y., Ma, L., Liu, Z., & Xu, B. (2022) · Insects · doi:10.3390/insects13090772 · Cited by 21
Antibiotic treatment impairs protein digestion in the honeybee, Apis mellifera
du Rand, E. E., Stutzer, C., Human, H., Pirk, C. W. W., & Nicolson, S. W. (2019) · Apidologie · doi:10.1007/s13592-019-00718-4 · Cited by 21
The Gut–Brain–Microbiome Axis in Bumble Bees
Leger, L., & McFrederick, Q. S. (2020) · Insects · doi:10.3390/insects11080517 · Cited by 21
Changes in the gut microbiota of honey bees associated with jujube flower disease
Ma, W., Zheng, X., Li, L., Shen, J., Li, W., & Gao, Y. (2020) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2020.110616 · Cited by 20
Exploring the risk of microplastics to pollinators: focusing on honey bees
Naggar, Y. A., Ali, H., Mohamed, H. A., Kholy, S. E., El-Seedi, H. R., Mohamed, A. M., Sevin, S., Ghramh, H. A., & Wang, K. (2024) · Environmental Science and Pollution Research · doi:10.1007/s11356-024-34184-y · Cited by 22
Khoury, S. E., Gauthier, J., Bouslama, S., Cheaib, B. A., Giovenazzo, P., & Derôme, N. (2021) · Microorganisms · doi:10.3390/microorganisms9112283 · Cited by 20
Honeybees Exposure to Natural Feed Additives: How Is the Gut Microbiota Affected?
Alberoni, D., Baffoni, L., Braglia, C., Gaggìa, F., & Gioia, D. D. (2021) · Microorganisms · doi:10.3390/microorganisms9051009 · Cited by 20
Panjad, P., Yongsawas, R., Sinpoo, C., Pakwan, C., Subta, P., Krongdang, S., In-on, A., Chomdej, S., Chantawannakul, P., & Disayathanoowat, T. (2021) · Insects · doi:10.3390/insects12060525 · Cited by 20
Wang, S., Wang, X., Liu, Y., & Yao, Q. (2025) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.4c09141 · Cited by 19
Prairie Agroecosystems: Interconnected Microbiomes of Livestock, Soil and Insects
Liu, X., Floate, K. D., Gorzelak, M. A., Holman, D. B., Hrycauk, S., Kubota, H., Lupwayi, N. Z., Neilson, J. A. D., Polo, R. O., Petri, R. M., et al. (2023) · Agriculture · doi:10.3390/agriculture13020326 · Cited by 20
Lee, J., Jeong, B., Bae, H. R., Jang, H. A., & Kim, J. K. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.03510-22 · Cited by 19
Shu, Q., Guo, X., Tian, C., Wang, Y., Zhang, X., Cheng, J., Li, F., & Li, B. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612731 · Cited by 19
Overwintering honeybees maintained dynamic and stable intestinal bacteria
Liu, P., Zhu, Y., Ye, L., Shi, T., Li, L., Cao, H., & Yu, L. (2021) · Scientific Reports · doi:10.1038/s41598-021-01204-7 · Cited by 19
A potential probiotic Leuconostoc mesenteroides TBE-8 for honey bee
Huang, Y.-H., Chen, Y.-H., Chen, J.-H., Hsu, P., Wu, T., Lin, C., Peng, C., & Wu, M.-C. (2021) · Scientific Reports · doi:10.1038/s41598-021-97950-9 · Cited by 19
Teseo, S., Otani, S., Brinch, C., Léroy, S., Ruiz, P., Desvaux, M., Forano, É., Aarestrup, F. M., & Sapountzis, P. (2022) · Microbiome · doi:10.1186/s40168-022-01357-1 · Cited by 19
Lactobacillus Firm-5-derived succinate prevents honeybees from having diabetes-like symptoms
Han, B., Hu, J., Yang, C., Tang, J., Du, Y., Guo, L., Wu, Y., Zhang, X., & Zhou, X. Y. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2405410121 · Cited by 18
Diet affects reproductive development and microbiota composition in honey bees
Zumkhawala-Cook, A., Gallagher, P., & Raymann, K. (2024) · Animal Microbiome · doi:10.1186/s42523-024-00350-3 · Cited by 18
Yun, B.-R., Truong, A., Choi, Y. S., Lee, M. Y., Kim, B. Y., Seo, M., Yoon, S., Yoo, M.-S., Quyền, Đ. V., & Cho, Y. S. (2022) · Scientific Reports · doi:10.1038/s41598-022-13535-0 · Cited by 18
Liang, Y., Yang, L., Wang, Y., Tang, T., Liu, F., & Zhang, F. (2022) · Insect Molecular Biology · doi:10.1111/imb.12824 · Cited by 18
Biology, Genetic Diversity, and Conservation of Wild Bees in Tree Fruit Orchards
Kline, O., Phan, N. T., Porras, M. F., Chavana, J., Little, C. Z., Stemet, L., Acharya, R. S., Biddinger, D. J., Reddy, G. V. P., Rajotte, E. G., et al. (2022) · Biology · doi:10.3390/biology12010031 · Cited by 20
Sieler, M. J., Al‐Samarrie, C. E., Kasschau, K. D., Varga, Z. M., Kent, M. L., & Sharpton, T. J. (2023) · Animal Microbiome · doi:10.1186/s42523-023-00254-8 · Cited by 18
González-Escobar, J. L., Grajales‐Lagunes, A., Smoliński, A., Chagolla‐López, A., León‐Rodríguez, A. D., & de la Rosa, A. P. B. (2018) · Food Research International · doi:10.1016/j.foodres.2018.04.049 · Cited by 18
Parasite defense mechanisms in bees: behavior, immunity, antimicrobials, and symbionts
Fowler, A. E., Irwin, R. E., & Adler, L. S. (2019) · Emerging Topics in Life Sciences · doi:10.1042/etls20190069 · Cited by 18
Ugolini, L., Cilia, G., Pagnotta, E., Malaguti, L., Capano, V., Guerra, I., Zavatta, L., Albertazzi, S., Matteo, R., Lazzeri, L., et al. (2021) · Biomolecules · doi:10.3390/biom11111657 · Cited by 18
Deciphering microbial spatial organization: insights from synthetic and engineered communities
Pignon, E., & Schaerli, Y. (2025) · ISME Communications · doi:10.1093/ismeco/ycaf107 · Cited by 17
Anićijević, V. J., Petković, M., Pašti, I. A., & Pašti, T. D. L. (2022) · Water Air & Soil Pollution · doi:10.1007/s11270-022-05861-w · Cited by 17
Gorrochategui-Ortega, J., Muñoz‐Colmenero, M., Kovačić, M., Filipi, J., Puškadija, Z., Kezić, N., Parejo, M., Büchler, R., Estonba, A., & Zarraonaindia, I. (2022) · Scientific Reports · doi:10.1038/s41598-022-23287-6 · Cited by 21
Advancement in Therapeutic Intervention of Prebiotic-Based Nanoparticles for Colonic Diseases
Ren, Y., Nie, L., Luo, C., Zhu, S., & Zhang, X. (2022) · International Journal of Nanomedicine · doi:10.2147/ijn.s390102 · Cited by 18
Gao, H., Zhao, S., Wang, R., Qin, D., Chen, P., Zhang, A., Zhuang, Q., Zhai, Y., & Zhou, X. (2023) · Insect Science · doi:10.1111/1744-7917.13189 · Cited by 17
Tian, Z., Guo, X., Michaud, J. P., Zha, M., Zhu, L. D., Liu, X., & Liu, X. (2023) · Pest Management Science · doi:10.1002/ps.7546 · Cited by 17
High temperatures augment inhibition of parasites by a honey bee gut symbiont
Palmer‐Young, E. C., Markowitz, L. M., Huang, W., & Evans, J. D. (2023) · Applied and Environmental Microbiology · doi:10.1128/aem.01023-23 · Cited by 17
Weinhold, A., Grüner, E., & Keller, A. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1342781 · Cited by 17
Guo, D., Wang, Y., Li, Z., Zhang, D., Wang, C., Wang, H., Liu, Z., Liu, F., Guo, X., Wang, N., et al. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.172738 · Cited by 17
One-step genome engineering in bee gut bacterial symbionts
Lariviere, P. J., Ashraf, A. H. M. Z., Navarro-Escalante, L., Leonard, S. P., Miller, L. G., Moran, N. A., & Barrick, J. E. (2024) · mBio · doi:10.1128/mbio.01392-24 · Cited by 17
Self-citationWang, J., Su, Q., Zhang, X., Li, C., Luo, S., Zhou, X. Y., & Zheng, H. (2019) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijsem.0.003731 · Cited by 17
Self-citationZhang, J. B., Yu, Y. Q., Tomberlin, J. K., Cai, M., Zheng, L., & Yu, Z. (2021) · Journal of Insects as Food and Feed · doi:10.3920/jiff2020.0078 · Cited by 17
Synergistic effects between microplastics and glyphosate on honey bee larvae
Mitton, G., Corona, M., Alburaki, M., Iglesias, A., Ramos, F., Fuentes, G., Vázquez, M. M., Mitton, F. M., Chan, P., Ruffinengo, S. R., et al. (2024) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2024.104550 · Cited by 16
A defined community of core gut microbiota members promotes cognitive performance in honey bees
Cabirol, A., Quinn, A., Schafer, J., Neuschwander, N., Kesner, L., Liberti, J., & Engel, P. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2608600123 · Cited by 16
Qian, L., Wang, Y., Deng, P., Zhang, J., Qin, Y., Li, Z., Liao, H., & Chen, F. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1343265 · Cited by 16
Liu, J., Shi, J., Hu, Y., Su, Y., Zhang, Y., & Wu, X. (2024) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2024.135886 · Cited by 16
Koch, E. J., Moriano‐Gutierrez, S., Ruby, E. G., McFall‐Ngai, M., & Liebeke, M. (2020) · Journal of Experimental Biology · doi:10.1242/jeb.212860 · Cited by 16
Chang, R., Chen, J., Zhong, Z., Li, Y., Wu, K., Zheng, H., & Yang, Y. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.983169 · Cited by 16
Self-citationKujawska, M., Seki, D., Chalklen, L., Malsom, J., Kiu, R., Goatcher, S., Christoforou, I., Mitra, S., Crouch, L. I., & Hall, L. J. (2025) · Cell Host & Microbe · doi:10.1016/j.chom.2025.08.008 · Cited by 15
Tracking Adaptive Pathways of Invasive Insects: Novel Insight from Genomics
Sun, Z., Chen, Y., Chen, Y., Lu, Z., & Gui, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098004 · Cited by 18
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