{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T06:23:25Z","timestamp":1787639005063,"version":"build-2736575974"},"reference-count":117,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"vor","delay-in-days":23,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100004052","name":"King Abdullah University of Science and Technology","doi-asserted-by":"publisher","award":["BAS\/1\/1071\u201001\u201001"],"award-info":[{"award-number":["BAS\/1\/1071\u201001\u201001"]}],"id":[{"id":"10.13039\/501100004052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["enviromicro-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Environmental Microbiology"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Earth's biodiversity is central to ecosystem health and resilience, providing essential functions and services. The Red Sea is a recognised marine biodiversity hotspot with high endemism and unique environmental conditions that support extensive but poorly resolved biodiversity. Here, we applied metagenomic analyses to sediment samples collected from coastal to deep\u2010sea environments during the Red Sea Decade Expedition 2022 to characterise biodiversity across the web of life. From a single shotgun assay per sample, this approach simultaneously characterised the sediment microbiome, which amplicon\u2010based surveys recover only through parallel, targeted assays, and extended detection to higher eukaryotes. Using high\u2010throughput sequencing, we generated 12.8 billion sequences, revealing taxa covering all domains of life. Although eukaryotic sequences represented only 0.7% of the taxonomically annotated dataset, we managed to identify 679 eukaryotic families. Prokaryotic diversity was high, as expected in a basin\u2010scale sampling coupled with high sequencing depth, with groups covering a wide functional array. Community structure analyses revealed depth\u2010driven stratification of open\u2010ocean benthic microbial communities and latitudinal structuring of coastal benthic eukaryotes. Overall, this dataset provides an empirical reliability\u2013coverage trade\u2010off with direct consequences for the design of eDNA monitoring programmes targeting conservation\u2010priority taxa, and clear priorities for taxa specific reference\u2010database expansion.<\/jats:p>","DOI":"10.1111\/1462-2920.70389","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T09:08:21Z","timestamp":1787562501000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Metagenomic Insights Into Red Sea Biodiversity Across the Web of Life"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6107-0454","authenticated-orcid":false,"given":"Elisa","family":"Laiolo","sequence":"first","affiliation":[{"name":"Marine Science Program, Biological and Environmental Science and Engineering Division (BESE) King Abdullah University of Science and Technology (KAUST)  Thuwal Saudi 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