{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T08:18:32Z","timestamp":1787818712602,"version":"build-2784847793"},"reference-count":56,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T00:00:00Z","timestamp":1785024000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T00:00:00Z","timestamp":1785024000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100006769","name":"Russian Science Foundation","doi-asserted-by":"publisher","award":["25\u201026\u201000381"],"award-info":[{"award-number":["25\u201026\u201000381"]}],"id":[{"id":"10.13039\/501100006769","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arch Insect Biochem Physiol"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The larva\u2010to\u2010pupa transition in honey bees (\n                    <jats:italic>Apis mellifera<\/jats:italic>\n                    ) involves extensive neural remodeling, yet the molecular dynamics of brain development and their relationship with the surrounding microbial environment remain poorly characterized. This study integrated brain transcriptomic profiling with comb\u2010associated metagenomic analysis to characterize stage\u2010specific molecular signatures during metamorphosis. RNA sequencing of larval and pupal brains was combined with honeycomb shotgun metagenomics from the same sample. Brain transcriptomes exhibited marked stage\u2010specific divergence. Pupae displayed downregulation of transcriptional regulators, ecdysone and insulin signaling, and growth\u2010related pathways, alongside upregulation of cuticular proteins, glutathione metabolism, and odorant\u2010binding proteins. Notably, numerous poorly annotated, lineage\u2010specific loci showed extreme stage\u2010specific regulation. In contrast, comb\u2010associated microbial communities remained globally stable across developmental stages, though supervised ordination identified stage\u2010discriminatory taxa, including core symbionts and opportunistic pathogens. Integrative network analysis revealed significant correlations between comb potential bee pathogens' abundances and brain transcripts involved in translation, stress response, and metabolic regulation. Our data suggest that honey bee neural maturation is primarily driven by intrinsic transcriptional reprogramming, while structured variation in the external microbial milieu correlates with host neural gene expression. Honeycomb microbiome shift should be the consequence of the environmental conditions changes and host developmental shifts. Their roles in that process, as well as the brood immune system\u2010comb microbiome interactions, may be part of future research.\n                  <\/jats:p>","DOI":"10.1002\/arch.70196","type":"journal-article","created":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T13:26:42Z","timestamp":1785072402000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Brain Transcriptomic Reprogramming and Comb\u2010Associated Microbiome Variation During the Larva\u2010To\u2010Pupa Transition in Apis Mellifera"],"prefix":"10.1002","volume":"122","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2593-1963","authenticated-orcid":false,"given":"Amir","family":"Taldaev","sequence":"first","affiliation":[{"name":"Institute of Biomedical Chemistry Moscow Russia"},{"name":"Research Center for Molecular Mechanisms of Aging and Age\u2010Related Diseases Moscow Center for Advanced Studies Moscow Russia"},{"name":"Shemyakin\u2010Ovchinnikov Institute of Bioorganic Chemistry Moscow Russia"},{"name":"Faculty of Information Technology and Programming ITMO University Saint Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniil","family":"Smutin","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry Moscow Russia"},{"name":"Faculty of Information Technology and Programming ITMO University Saint Petersburg Russia"},{"name":"Faculty of Radioelectronic Systems and Robotics The Bonch\u2010Bruevich Saint\u2010Petersburg State University of Telecommunications Saint Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lavrentii","family":"Danilov","sequence":"additional","affiliation":[{"name":"Faculty of Radioelectronic Systems and Robotics The Bonch\u2010Bruevich Saint\u2010Petersburg State University of Telecommunications Saint Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grigory","family":"Kashchenko","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Geology and Landscape Studies Russian State Agrarian University \u2013 Moscow Timiryazev Agricultural Academy Moscow Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandra","family":"Ryabova","sequence":"additional","affiliation":[{"name":"International Laboratory of Bioinformatics HSE University Moscow Russia"},{"name":"Center for Molecular and Cellular Biology Moscow Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1563-4615","authenticated-orcid":false,"given":"Leonid","family":"Adonin","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Chemistry Moscow Russia"},{"name":"Faculty of Radioelectronic Systems and Robotics The Bonch\u2010Bruevich Saint\u2010Petersburg State University of Telecommunications Saint Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,26]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00248-022-01986-x"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0403073101"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.3389\/frbee.2024.1410331"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00040-011-0194-6"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00248-022-02025-5"},{"key":"e_1_2_10_7_1","unstructured":"Babraham Bioinformatics. \u2010 FastQC: A Quality Control tool for High Throughput Sequence Data.https:\/\/www.bioinformatics.babraham.ac.uk\/projects\/fastqc\/."},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-018-1568-0"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1101\/2022.05.10.491402"},{"key":"e_1_2_10_10_1","unstructured":"Carlson M. 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