{"paper_id":"0d9819f8-d5c1-413b-88f5-cab9b6a34987","body_text":"Complete genome sequence of psychrotolerant Lacisediminihabitans sp. FW035 isolated from freshwater in Antarctica | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Data Note Complete genome sequence of psychrotolerant Lacisediminihabitans sp. FW035 isolated from freshwater in Antarctica Minkyung Kim, Ahnna Cho, Minjeong Kwon, Yong-Joon Cho, Ok-Sun Kim This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9307513/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract Objectives: Microorganisms inhabiting cold and oligotrophic aquatic environments experience persistent physiological stress, necessitating genomic characterization to understand their survival strategies. Psychrotolerant strains have evolved diverse metabolic adaptations, including secondary metabolite biosynthesis, which may contribute to environmental fitness and offer potential for low-temperature biotechnological applications. However, the genus Lacisediminihabitans remains poorly represented at the genomic level, limiting our understanding of its ecological roles and metabolic potential. To address this gap, we generated a high-quality complete genome of a psychrotolerant Lacisediminihabitans strain isolated from Antarctic freshwater. Data description: The genome of Lacisediminihabitans sp. FW035 is 3,842,169 bp in size with a G+C content of 66.4%, encoding 3,592 protein-coding genes. Genome analysis revealed a complete C5–C20 isoprenoid biosynthesis pathway and multiple biosynthetic gene clusters, including terpene-associated clusters with low similarity to previously characterized pathways. These features indicate the presence of diverse metabolic and biosynthetic capabilities and highlight the dataset as a resource for comparative genomic and functional analyses. Microbacteriaceae Lacisediminihabitans Antarctica Biosynthetic gene cluster Isoprenoid Objective Antarctica is one of the most extreme environments on Earth, characterized by persistently low temperatures, strong freeze–thaw cycles [1], oligotrophic conditions [2], and high levels of ultraviolet radiation [3]. Microorganisms inhabiting these environments must therefore rely on specialized metabolic and physiological strategies to withstand oxidative stress, nutrient limitation, and strong temperature fluctuations [4]. These ecological pressures make Antarctic freshwater bacteria valuable model systems for studying microbial adaptation and metabolic versatility, with potential relevance for low-temperature biotechnological applications [5]. The genus Lacisediminihabitans was first proposed in 2020 as a new member of the family Microbacteriaceae in the phylum Actinomycetota based on genotypic and phenotypic analyses [6]. According to the List of Prokaryotic names with Standing in Nomenclature (LPSN) database, only two type strains of Lacisediminihabitans profunda and Lacisediminihabitans changchengi have been validly published to date (https://lpsn.dsmz.de/search?word=lacisediminihabitans). Both strains are psychrotolerant, yet currently available genome assemblies remain limited and incomplete. The limited number of available strains hampers comprehensive exploration of the ecological adaptations and genomic diversity of this genus, thereby highlighting the importance of genome-based characterization of additional Lacisediminihabitans strains. To address this gap, a psychrotolerant strain, Lacisediminihabitans sp. FW035, was isolated from Antarctic freshwater and subjected to whole-genome sequencing. The objective of this study was to generate a high-quality complete genome dataset to support taxonomic identification, comparative genomics, and functional annotation of this poorly characterized genus. Data description Lacisediminihabitans sp. FW035 was cultivated on R2A medium at 20°C. Genomic DNA was extracted using a FastDNA spin kit (MP Biomedicals, USA) according to the manufacturer’s instructions. Whole-genome sequencing was performed using Illumina NovaSeq and Oxford Nanopore platforms. For Illumina sequencing, 50 ng of genomic DNA was processed with the NEBNext® Ultra™ II DNA Library Prep Kit and sequenced at AZENTA (USA) on the NovaSeq 6000 system (Illumina, USA) using a 2 × 100 bp paired-end configuration. The Illumina raw data were adapter- and quality-trimmed using BBDuk [7] and deposited under SRA accession SRR37367711 (Table 1, Data set 1). Nanopore sequencing was performed on a MinION Mk1B (Oxford Nanopore Technologies, UK). Nanopore reads were trimmed in MinKNow (Table 1, Data set 2), assembled using Flye v2.9.4-b1799 [18], and the resulting contig was polished with quality-trimmed Illumina reads using Polypolish [19]. The complete genome comprises a single circular chromosome of 3,842,169 bp with a GC content of 66.4% (Table 1, Data set 3 and Data file 1). It contains 3,592 protein-coding genes, three rRNA genes (5S, 16S, and 23S rRNA genes), and 50 tRNA genes (Table 1, Data file 2). Quality analysis was performed using CheckM (v1.2.4) [20], indicating 98.78% completeness and 0.79% contamination. The taxonomic classification based on 16S rRNA genes showed that strain FW035 clustered closely with L. profunda CHu50b-6-2 (98.82% similarity) (Table 1, Data file 3). In the genome-based phylogenomic tree, strain FW035 was also placed within the genus Lacisediminihabitans (Table 1, Data file 4). Comparative genomic analyses indicate that strain FW035 represents a distinct from closely related species based on ANI, AAI, and dDDH values (ANI, 77.8%; AAI, 73.5%; dDDH, 21.3%) (Table 1, Data file 5). COG annotation assigned 3,382 genes to 20 functional categories, predominantly amino acid transport and metabolism (9.64%), transcription (9.23%), carbohydrate transport and metabolism (8.34%), and cell wall/membrane/envelope biogenesis (5.23%) (Table 1, Data set 6). KEGG annotation indicated enrichment of genes related to carbohydrate, amino acid, cofactors, and vitamin metabolism (Table 1, Data set 7). Genome mining using antiSMASH [21] identified six biosynthetic gene clusters (BGCs), including terpene, type III polyketide synthase, lanthipeptide class V, non-α poly-amino acid, and β-lactone-associated clusters (Table 1, Data file 8). Only one cluster showed high similarity (≥75%) to a known BGC, while the remaining clusters exhibited low similarity (<15%) to previously characterized clusters. Strain FW035 harbors genes involved in terpene synthesis with only low similarity to characterized carotenoid-like clusters. KEGG pathway annotation indicated the presence of genes comprising a complete C5–C20 isoprenoid backbone biosynthesis pathway, including genes associated with the synthesis of isopentenyl diphosphate and dimethylallyl diphosphate, and downstream prenyl diphosphates (geranyl-, farnesyl-, and geranylgeranyl-diphosphates). These prenyl diphosphates are annotated intermediates in the isoprenoid backbone pathway and are commonly used as precursors in terpene biosynthesis; accordingly, the KEGG-annotated isoprenoid pathway and the antiSMASH-predicted terpene-associated BGC(s) are provided together as complementary records for downstream analyses. Limitations The dataset provides the complete genome of a Lacisediminihabitans strain; however, no experimental validation was performed to confirm the functional activity of the predicted genes or biosynthetic pathways. The presence of biosynthetic gene clusters does not confirm the production of corresponding metabolites under natural or laboratory conditions. Functional annotations are based on computational predictions and available databases, which may include incomplete or inaccurate assignments. Abbreviations LPSN: List of Prokaryotic names with Standing in Nomenclature ANI: Average Nucleotide Identity AAI: Average Amino acid Identity dDDH: Digital DNA–DNA Hybridization COG: Clusters of Orthologous Genes KEGG: Kyoto Encyclopedia of Genes and Genomes BGCs: Biosynthetic Gene Clusters Declarations Data availability Strain FW035 has been deposited in the Korean Collection for Type Cultures (KCTC) under the accession number KCTC 59629. The complete genome assembly of Lacisediminihabitans sp. FW035 has been deposited in GenBank under accession number JBTZBY000000000 with BioProject PRJNA1354626 and BioSample SAMN52950395. Illumina and Oxford Nanopore raw reads are available in the Sequence Read Archive (SRA) under accession numbers SRR37367711 and SRR37367710, respectively. Please see Table 1 and references [8-10] for details and links to the data. Ethics declarations Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Competing interests The authors declare no competing interests. Funding. This work was supported by the Korea Polar Research Institute (KOPRI; PE26100) and by the National Research Foundation of Korea (NRF), funded by the Korea government through the Ministry of Science and ICT (MSIT; RS-2026-25478655) and the Ministry of Education (MOE) through Global-Learning & Academic research institution for Master’s, PhD students, and Postdocs (G-LAMP) Program (RS-2023-00301850). References Sawicka JE, Robador A, Hubert C, Jørgensen BB, Brüchert V. Effects of freeze–thaw cycles on anaerobic microbial processes in an Arctic intertidal mud flat. ISME J. 2010;4(4):585–594. https://doi.org/10.1038/ismej.2009.140. Tanabe Y, Hori M, Mizuno AN, Osono T, Uchida M, Kudoh S, et al. 2019. Light quality determines primary production in nutrient-poor small lakes. Sci Rep. 2019;9(1):4639. https://doi.org/10.1038/s41598-019-41003-9. Cordero RR, Feron S, Damiani A, Redondas A, Carrasco J, Sepúlveda E, et al. Persistent extreme ultraviolet irradiance in Antarctica despite the ozone recovery onset. Sci Rep. 2022;12(1):1266. https://doi.org/10.1038/s41598-022-05449-8 Yin H, Perera-Castro AV, Randall KL, Turnbull JD, Waterman MJ, Dunn J, et al. Basking in the sun: how mosses photosynthesise and survive in Antarctica. Photosynth. Res. 2023;158(2):151-169. https://doi.org/10.1007/s11120-023-01040-y. Wilkins D, Yau S, Williams TJ, Allen MA, Brown MV, DeMaere MZ, et al. Key microbial drivers in Antarctic aquatic environments. FEMS Microbiol Rev. 2013;37(3):303-305. https://doi.org/10.1111/1574-6976.12007. Zhuo Y, Jin CZ, Jin FJ, Li T, Kang DH, Oh HM, et al. Lacisediminihabitans profunda gen. nov., sp. nov., a member of the family Microbacteriaceae isolated from freshwater sediment. Antonie Van Leeuwenhoek. 2020;113(3):365-375. https://doi.org/10.1007/s10482-019-01347-8. Bushnell, B. 2014. BBMap: A Fast, Accurate, Splice-Aware Aligner. NCBI. Paired-end Illumina raw reads. 2026. https://www.ebi.ac.uk/ena/browser/view/SRR37367711 NCBI. Oxford Nanopore raw reads. 2026. https://www.ebi.ac.uk/ena/browser/view/SRR37367710 NCBI. Complete genome sequence of strain FW035. 2026. https://www.ebi.ac.uk/ena/browser/view/JBTZBY000000000 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. Circular genome map of Lacisediminihabitans sp. FW035. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31889905 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. General and genomic features of Lacisediminihabitans sp. FW035. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31897243 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. 16S rRNA gene-based phylogenetic tree. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31889947 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. Genome-based phylogenetic tree. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31889998 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. ANI, AAI, and dDDH comparison results. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31890070 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. COG functional classification. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31896106 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. KEGG annotation results. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31896115 Kim M, Cho A, Kwon M, Cho Y-J, Kim O-S. Biosynthetic gene cluster (antiSMASH) results. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31896136 Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol. 2019;37(5):540-546. https://doi.org/10.1038/s41587-019-0072-8. Wick RR, Holt KE. Polypolish: Short-read polishing of long-read bacterial genome assemblies. PLoS Comput Biol. 2022;18(1):e1009802. https://doi.org/10.1371/journal.pcbi.1009802. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25(7):1043-1055. https://doi.org/10.1101/gr.186072.114. Blin K, Shaw S, Vader L, Szenei J, Reitz ZL, Augustijn HE, et al. antiSMASH 8.0: extended gene cluster detection capabilities and analyses of chemistry, enzymology, and regulation. Nucleic Acids Res. 2025;53(W1):W32-W38. https://doi.org/10.1093/nar/gkaf334. Table Table 1. Overview of data files/data sets Label Name of data file/data set File types (file extension) Repository and identifier (DOI or accession number) Data set 1 Paired-end Illumina raw reads of Lacisediminihabitans sp. FW035 Sequence file (.fastq.gz) Sequence Read Archive (https://www.ebi.ac.uk/ena/browser/view/SRR37367711) [8] Data set 2 Oxford Nanopore raw reads of Lacisediminihabitans sp. FW035 Sequence file (.fastq.gz) Sequence Read Archive (https://www.ebi.ac.uk/ena/browser/view/SRR37367710) [9] Data set 3 Complete genome sequence of Lacisediminihabitans sp. FW035 Sequence file (.fasta) Nucleotide Sequence Database (https://www.ebi.ac.uk/ena/browser/view/JBTZBY000000000) [10] Data file 1 Circular genome map of Lacisediminihabitans sp. FW035 PDF file (.pdf) Figshare (https://doi.org/10.6084/m9.figshare.31889905) [11] Data file 2 General and genomic features of Lacisediminihabitans sp. FW035 MS Excel file (.xlsx) Figshare (https://doi.org/10.6084/m9.figshare.31897243) [12] Data file 3 16S rRNA gene-based phylogenetic tree PDF file (.pdf) Figshare (https://doi.org/10.6084/m9.figshare.31889947) [13] Data file 4 Genome-based phylogenetic tree PDF file (.pdf) Figshare (https://doi.org/10.6084/m9.figshare.31889998) [14] Data file 5 ANI, AAI, and dDDH comparison results MS Excel file (.xlsx) Figshare (https://doi.org/10.6084/m9.figshare.31890070) [15] Data file 6 COG functional classification PDF file (.pdf) Figshare (https://doi.org/10.6084/m9.figshare.31896106) [16] Data file 7 KEGG annotation results PDF file (.pdf) Figshare (https://doi.org/10.6084/m9.figshare.31896115) [17] Data file 8 Biosynthetic gene cluster (antiSMASH) results MS Excel file (.xlsx) Figshare (https://doi.org/10.6084/m9.figshare.31896136) [18] Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 18 May, 2026 Reviews received at journal 07 May, 2026 Reviewers agreed at journal 05 May, 2026 Reviews received at journal 01 May, 2026 Reviewers agreed at journal 29 Apr, 2026 Reviewers agreed at journal 29 Apr, 2026 Reviewers invited by journal 29 Apr, 2026 Editor assigned by journal 08 Apr, 2026 Submission checks completed at journal 08 Apr, 2026 First submitted to journal 02 Apr, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-9307513\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Data Note\",\"associatedPublications\":[],\"authors\":[{\"id\":635345451,\"identity\":\"b9c1f90d-0c3a-4017-aae3-237a1cb05330\",\"order_by\":0,\"name\":\"Minkyung Kim\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Korea Polar Research Institute\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Minkyung\",\"middleName\":\"\",\"lastName\":\"Kim\",\"suffix\":\"\"},{\"id\":635345452,\"identity\":\"37a698f3-7cc6-4cdc-8184-8683dba65d57\",\"order_by\":1,\"name\":\"Ahnna Cho\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Korea Polar Research Institute\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Ahnna\",\"middleName\":\"\",\"lastName\":\"Cho\",\"suffix\":\"\"},{\"id\":635345453,\"identity\":\"4733e194-6cd0-496f-b740-24ca4e94f006\",\"order_by\":2,\"name\":\"Minjeong Kwon\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Kangwon National University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Minjeong\",\"middleName\":\"\",\"lastName\":\"Kwon\",\"suffix\":\"\"},{\"id\":635345454,\"identity\":\"1fad3461-f937-4e41-bfde-483e1529b6a2\",\"order_by\":3,\"name\":\"Yong-Joon Cho\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Kangwon National University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Yong-Joon\",\"middleName\":\"\",\"lastName\":\"Cho\",\"suffix\":\"\"},{\"id\":635345456,\"identity\":\"4c0c8197-00be-4fc3-8d32-ebc349b77e22\",\"order_by\":4,\"name\":\"Ok-Sun Kim\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAw0lEQVRIiWNgGAWjYFACNoYDDBUJQAZjA4hrQKSWM6RqYWBsS4BzCWvh5z+WeOjmvDQ5c+nDDcwVFQzG5g0EtEjOSDtwOHdbjrFlX2ID45kzDGYyBwhoMbjB3gDUUpG44QxjA2NjG4ONBCGHGZw/DtQyB6blHzFaDoAc1pAD1dLAYEZQC9AvCYdzjqUZW/YwNhxsOCZhTFALMMSMP+fUJMuZ87A/fNhQY2M4g5AWhAuB+AADA0E70LSMglEwCkbBKMAKAISaPuPYFYtUAAAAAElFTkSuQmCC\",\"orcid\":\"\",\"institution\":\"Korea Polar Research Institute\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Ok-Sun\",\"middleName\":\"\",\"lastName\":\"Kim\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2026-04-03 01:08:16\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-9307513/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-9307513/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":108668185,\"identity\":\"3d6b10ee-51af-4800-96d8-904ed9ff62b0\",\"added_by\":\"auto\",\"created_at\":\"2026-05-07 07:04:37\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":170837,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-9307513/v1/8a0f1af8-77fa-412a-9962-6c4bfabfbc0c.pdf\"}],\"financialInterests\":\"No competing interests reported.\",\"formattedTitle\":\"\\u003cp\\u003eComplete genome sequence of psychrotolerant \\u003cem\\u003eLacisediminihabitans \\u003c/em\\u003esp. FW035 isolated from freshwater in Antarctica\\u003c/p\\u003e\",\"fulltext\":[{\"header\":\"Objective\",\"content\":\"\\u003cp\\u003eAntarctica is one of the most extreme environments on Earth, characterized by persistently low temperatures, strong freeze\\u0026ndash;thaw cycles [1], oligotrophic conditions [2], and high levels of ultraviolet radiation [3]. Microorganisms inhabiting these environments must therefore rely on specialized metabolic and physiological strategies to withstand oxidative stress, nutrient limitation, and strong temperature fluctuations [4]. These ecological pressures make Antarctic freshwater bacteria valuable model systems for studying microbial adaptation and metabolic versatility, with potential relevance for low-temperature biotechnological applications [5].\\u003c/p\\u003e\\n\\u003cp\\u003eThe genus \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e was first proposed in 2020 as a new member of the family \\u003cem\\u003eMicrobacteriaceae\\u003c/em\\u003e in the phylum \\u003cem\\u003eActinomycetota\\u003c/em\\u003e based on genotypic and phenotypic analyses [6]. According to the List of Prokaryotic names with Standing in Nomenclature (LPSN) database, only two type strains of \\u003cem\\u003eLacisediminihabitans profunda and Lacisediminihabitans changchengi\\u003c/em\\u003e have been validly published to date (https://lpsn.dsmz.de/search?word=lacisediminihabitans). Both strains are psychrotolerant, yet currently available genome assemblies remain limited and incomplete. The limited number of available strains hampers comprehensive exploration of the ecological adaptations and genomic diversity of this genus, thereby highlighting the importance of genome-based characterization of additional \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e strains.\\u003c/p\\u003e\\n\\u003cp\\u003eTo address this gap, a psychrotolerant strain, \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp. FW035, was isolated from Antarctic freshwater and subjected to whole-genome sequencing. The objective of this study was to generate a high-quality complete genome dataset to support taxonomic identification, comparative genomics, and functional annotation of this poorly characterized genus.\\u003c/p\\u003e\"},{\"header\":\"Data description\",\"content\":\"\\u003cp\\u003e\\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp. FW035 was cultivated on R2A medium at 20\\u0026deg;C. Genomic DNA was extracted using a FastDNA spin kit (MP Biomedicals, USA) according to the manufacturer\\u0026rsquo;s instructions. Whole-genome sequencing was performed using Illumina NovaSeq and Oxford Nanopore platforms. For Illumina sequencing, 50 ng of genomic DNA was processed with the NEBNext\\u0026reg; Ultra\\u0026trade; II DNA Library Prep Kit and sequenced at AZENTA (USA) on the NovaSeq 6000 system (Illumina, USA) using a 2 \\u0026times; 100 bp paired-end configuration. The Illumina raw data were adapter- and quality-trimmed using BBDuk [7] and deposited under SRA accession SRR37367711 (Table 1, Data set 1). Nanopore sequencing was performed on a MinION Mk1B (Oxford Nanopore Technologies, UK). Nanopore reads were trimmed in MinKNow (Table 1, Data set 2), assembled using Flye v2.9.4-b1799 [18], and the resulting contig was polished with quality-trimmed Illumina reads using Polypolish [19].\\u003c/p\\u003e\\n\\u003cp\\u003eThe complete genome comprises a single circular chromosome of 3,842,169 bp with a GC content of 66.4% (Table 1, Data set 3 and Data file 1). It contains 3,592 protein-coding genes, three rRNA genes (5S, 16S, and 23S rRNA genes), and 50 tRNA genes (Table 1, Data file 2). Quality analysis was performed using CheckM (v1.2.4) [20], indicating 98.78% completeness and 0.79% contamination. The taxonomic classification based on 16S rRNA genes showed that strain FW035 clustered closely with \\u003cem\\u003eL. profunda\\u003c/em\\u003e CHu50b-6-2 (98.82% similarity) (Table 1, Data file 3). In the genome-based phylogenomic tree, strain FW035 was also placed within the genus \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e (Table 1, Data file 4). Comparative genomic analyses indicate that strain FW035 represents a distinct from closely related species based on ANI, AAI, and dDDH values\\u003cem\\u003e\\u0026nbsp;\\u003c/em\\u003e(ANI, 77.8%; AAI, 73.5%; dDDH, 21.3%) (Table 1, Data file 5).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;COG annotation assigned 3,382 genes to 20 functional categories, predominantly amino acid transport and metabolism (9.64%), transcription (9.23%), carbohydrate transport and metabolism (8.34%), and cell wall/membrane/envelope biogenesis (5.23%) (Table 1, Data set 6). KEGG annotation indicated enrichment of genes related to carbohydrate, amino acid, cofactors, and vitamin metabolism (Table 1, Data set 7). Genome mining using antiSMASH [21] identified six biosynthetic gene clusters (BGCs), including terpene, type III polyketide synthase, lanthipeptide class V, non-\\u0026alpha; poly-amino acid, and \\u0026beta;-lactone-associated clusters (Table 1, Data file 8). Only one cluster showed high similarity (\\u0026ge;75%) to a known BGC, while the remaining clusters exhibited low similarity (\\u0026lt;15%) to previously characterized clusters. Strain FW035 harbors genes involved in terpene synthesis with only low similarity to characterized carotenoid-like clusters. KEGG pathway annotation indicated the presence of genes comprising a complete C5\\u0026ndash;C20 isoprenoid backbone biosynthesis pathway, including genes associated with the synthesis of isopentenyl diphosphate and dimethylallyl diphosphate, and downstream prenyl diphosphates (geranyl-, farnesyl-, and geranylgeranyl-diphosphates). These prenyl diphosphates are annotated intermediates in the isoprenoid backbone pathway and are commonly used as precursors in terpene biosynthesis; accordingly, the KEGG-annotated isoprenoid pathway and the antiSMASH-predicted terpene-associated BGC(s) are provided together as complementary records for downstream analyses.\\u003c/p\\u003e\"},{\"header\":\"Limitations\",\"content\":\"\\u003cp\\u003eThe dataset provides the complete genome of a Lacisediminihabitans strain; however, no experimental validation was performed to confirm the functional activity of the predicted genes or biosynthetic pathways. The presence of biosynthetic gene clusters does not confirm the production of corresponding metabolites under natural or laboratory conditions. Functional annotations are based on computational predictions and available databases, which may include incomplete or inaccurate assignments.\\u003c/p\\u003e\"},{\"header\":\"Abbreviations\",\"content\":\"\\u003cp\\u003eLPSN:\\u0026nbsp;List of Prokaryotic names with Standing in Nomenclature\\u003c/p\\u003e\\n\\u003cp\\u003eANI: Average Nucleotide Identity\\u003c/p\\u003e\\n\\u003cp\\u003eAAI: Average Amino acid Identity\\u003c/p\\u003e\\n\\u003cp\\u003edDDH: Digital DNA\\u0026ndash;DNA Hybridization\\u003c/p\\u003e\\n\\u003cp\\u003eCOG: Clusters of Orthologous Genes\\u003c/p\\u003e\\n\\u003cp\\u003eKEGG: Kyoto Encyclopedia of Genes and Genomes\\u003c/p\\u003e\\n\\u003cp\\u003eBGCs: Biosynthetic Gene Clusters\\u003c/p\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eData availability\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eStrain FW035 has been deposited in the Korean Collection for Type Cultures (KCTC) under the accession number KCTC 59629. The complete genome assembly of \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp. FW035 has been deposited in GenBank under accession number JBTZBY000000000 with BioProject PRJNA1354626 and BioSample SAMN52950395. Illumina and Oxford Nanopore raw reads are available in the Sequence Read Archive (SRA) under accession numbers SRR37367711 and SRR37367710, respectively. Please see Table 1 and references [8-10] for details and links to the data.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eEthics declarations\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eEthics approval and consent to participate\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eNot applicable.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eConsent for publication\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eNot applicable.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eCompeting interests\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe authors declare no competing interests.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eFunding.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThis work was supported by the Korea Polar Research Institute (KOPRI; PE26100) and by the National Research Foundation of Korea (NRF), funded by the Korea government through the Ministry of Science and ICT (MSIT; RS-2026-25478655) and the Ministry of Education (MOE) through Global-Learning \\u0026amp; Academic research institution for Master\\u0026rsquo;s, PhD students, and Postdocs (G-LAMP) Program (RS-2023-00301850).\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\n \\u003cli\\u003eSawicka JE, Robador A, Hubert C, J\\u0026oslash;rgensen BB, Br\\u0026uuml;chert V. Effects of freeze\\u0026ndash;thaw cycles on anaerobic microbial processes in an Arctic intertidal mud flat. ISME J. 2010;4(4):585\\u0026ndash;594. https://doi.org/10.1038/ismej.2009.140.\\u003c/li\\u003e\\n \\u003cli\\u003eTanabe Y, Hori M, Mizuno AN, Osono T, Uchida M, Kudoh S, et al. 2019. Light quality determines primary production in nutrient-poor small lakes. Sci Rep. 2019;9(1):4639. https://doi.org/10.1038/s41598-019-41003-9.\\u003c/li\\u003e\\n \\u003cli\\u003eCordero RR, Feron S, Damiani A, Redondas A, Carrasco J, Sep\\u0026uacute;lveda E, et al. Persistent extreme ultraviolet irradiance in Antarctica despite the ozone recovery onset. Sci Rep. 2022;12(1):1266. https://doi.org/10.1038/s41598-022-05449-8\\u003c/li\\u003e\\n \\u003cli\\u003eYin H, Perera-Castro AV, Randall KL, Turnbull JD, Waterman MJ, Dunn J, et al. Basking in the sun: how mosses photosynthesise and survive in Antarctica. Photosynth. Res. 2023;158(2):151-169. https://doi.org/10.1007/s11120-023-01040-y.\\u003c/li\\u003e\\n \\u003cli\\u003eWilkins D, Yau S, Williams TJ, Allen MA, Brown MV, DeMaere MZ, et al. Key microbial drivers in Antarctic aquatic environments. FEMS Microbiol Rev. 2013;37(3):303-305. https://doi.org/10.1111/1574-6976.12007.\\u003c/li\\u003e\\n \\u003cli\\u003eZhuo Y, Jin CZ, Jin FJ, Li T, Kang DH, Oh HM, et al. \\u003cem\\u003eLacisediminihabitans profunda\\u003c/em\\u003e gen. nov., sp. nov., a member of the family Microbacteriaceae isolated from freshwater sediment. Antonie Van Leeuwenhoek. 2020;113(3):365-375. https://doi.org/10.1007/s10482-019-01347-8.\\u003c/li\\u003e\\n \\u003cli\\u003eBushnell, B. 2014. BBMap: A Fast, Accurate, Splice-Aware Aligner.\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eNCBI. Paired-end Illumina raw reads. 2026. https://www.ebi.ac.uk/ena/browser/view/SRR37367711\\u003c/li\\u003e\\n \\u003cli\\u003eNCBI. Oxford Nanopore raw reads. 2026. https://www.ebi.ac.uk/ena/browser/view/SRR37367710\\u003c/li\\u003e\\n \\u003cli\\u003eNCBI. Complete genome sequence of strain FW035. 2026. https://www.ebi.ac.uk/ena/browser/view/JBTZBY000000000\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. Circular genome map of \\u003cem\\u003eLacisediminihabitans\\u0026nbsp;\\u003c/em\\u003esp. FW035. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31889905\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. General and genomic features of \\u003cem\\u003eLacisediminihabitans\\u0026nbsp;\\u003c/em\\u003esp. FW035. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31897243\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. 16S rRNA gene-based phylogenetic tree. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31889947 \\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. Genome-based phylogenetic tree. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31889998 \\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. ANI, AAI, and dDDH comparison results. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31890070 \\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. COG functional classification. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31896106\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. KEGG annotation results. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31896115 \\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKim M, Cho A, Kwon M, Cho Y-J, Kim O-S. Biosynthetic gene cluster (antiSMASH) results. Figshare. 2026. https://doi.org/10.6084/m9.figshare.31896136\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eKolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol. 2019;37(5):540-546. https://doi.org/10.1038/s41587-019-0072-8.\\u003c/li\\u003e\\n \\u003cli\\u003eWick RR, Holt KE. Polypolish: Short-read polishing of long-read bacterial genome assemblies. PLoS Comput Biol. 2022;18(1):e1009802. https://doi.org/10.1371/journal.pcbi.1009802.\\u003c/li\\u003e\\n \\u003cli\\u003eParks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25(7):1043-1055. https://doi.org/10.1101/gr.186072.114.\\u003c/li\\u003e\\n \\u003cli\\u003eBlin K, Shaw S, Vader L, Szenei J, Reitz ZL, Augustijn HE, et al. antiSMASH 8.0: extended gene cluster detection capabilities and analyses of chemistry, enzymology, and regulation. Nucleic Acids Res. 2025;53(W1):W32-W38. https://doi.org/10.1093/nar/gkaf334.\\u003c/li\\u003e\\n\\u003c/ol\\u003e\"},{\"header\":\"Table\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eTable 1.\\u0026nbsp;\\u003c/strong\\u003eOverview of data files/data sets\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"929\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eLabel\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eName of data file/data set\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eFile types\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e(file extension)\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eRepository and identifier\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e(DOI or accession number)\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData set 1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003ePaired-end Illumina raw reads of\\u0026nbsp;\\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp.\\u0026nbsp;FW035\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003eSequence file\\u003c/p\\u003e\\n \\u003cp\\u003e(.fastq.gz)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eSequence Read Archive\\u003c/p\\u003e\\n \\u003cp\\u003e(https://www.ebi.ac.uk/ena/browser/view/SRR37367711) [8]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData set 2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eOxford Nanopore raw reads of\\u0026nbsp;\\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp.\\u0026nbsp;FW035\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003eSequence file\\u003c/p\\u003e\\n \\u003cp\\u003e(.fastq.gz)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eSequence Read Archive\\u003c/p\\u003e\\n \\u003cp\\u003e(https://www.ebi.ac.uk/ena/browser/view/SRR37367710) [9]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData set 3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eComplete genome sequence of\\u0026nbsp;\\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp.\\u0026nbsp;FW035\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003eSequence file\\u003c/p\\u003e\\n \\u003cp\\u003e(.fasta)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eNucleotide Sequence Database\\u003c/p\\u003e\\n \\u003cp\\u003e(https://www.ebi.ac.uk/ena/browser/view/JBTZBY000000000) [10]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eCircular genome map of\\u0026nbsp;\\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp.\\u0026nbsp;FW035\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003ePDF file (.pdf)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31889905) [11]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eGeneral and genomic features of \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e sp. FW035\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003eMS Excel file\\u003c/p\\u003e\\n \\u003cp\\u003e(.xlsx)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31897243) [12]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003e16S rRNA gene-based phylogenetic tree\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003ePDF file (.pdf)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31889947) [13]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eGenome-based phylogenetic tree\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003ePDF file (.pdf)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31889998) [14]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eANI, AAI, and dDDH comparison results\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003eMS Excel file\\u003c/p\\u003e\\n \\u003cp\\u003e(.xlsx)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31890070) [15]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eCOG functional classification\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003ePDF file (.pdf)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31896106) [16]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 7\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eKEGG annotation results\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003ePDF file (.pdf)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31896115) [17]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 93px;\\\"\\u003e\\n \\u003cp\\u003eData file 8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 284px;\\\"\\u003e\\n \\u003cp\\u003eBiosynthetic gene cluster (antiSMASH) results\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 123px;\\\"\\u003e\\n \\u003cp\\u003eMS Excel file\\u003c/p\\u003e\\n \\u003cp\\u003e(.xlsx)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd nowrap=\\\"\\\" style=\\\"width: 428px;\\\"\\u003e\\n \\u003cp\\u003eFigshare (https://doi.org/10.6084/m9.figshare.31896136) [18]\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":false,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"bmc-genomic-data\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"gtic\",\"sideBox\":\"Learn more about [BMC Genomic Data](http://bmcgenet.biomedcentral.com/)\",\"snPcode\":\"\",\"submissionUrl\":\"https://www.editorialmanager.com/gtic/default.aspx\",\"title\":\"BMC Genomic Data\",\"twitterHandle\":\"BMC_series\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"em\",\"reportingPortfolio\":\"BMC Series\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":true},\"keywords\":\"Microbacteriaceae, Lacisediminihabitans, Antarctica, Biosynthetic gene cluster, Isoprenoid\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-9307513/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-9307513/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003e\\u003cstrong\\u003eObjectives:\\u003c/strong\\u003e Microorganisms inhabiting cold and oligotrophic aquatic environments experience persistent physiological stress, necessitating genomic characterization to understand their survival strategies. Psychrotolerant strains have evolved diverse metabolic adaptations, including secondary metabolite biosynthesis, which may contribute to environmental fitness and offer potential for low-temperature biotechnological applications. However, the genus \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e remains poorly represented at the genomic level, limiting our understanding of its ecological roles and metabolic potential. To address this gap, we generated a high-quality complete genome of a psychrotolerant \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003e strain isolated from Antarctic freshwater.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eData description:\\u003c/strong\\u003e The genome of \\u003cem\\u003eLacisediminihabitans\\u003c/em\\u003esp. FW035 is 3,842,169 bp in size with a G+C content of 66.4%, encoding 3,592 protein-coding genes. Genome analysis revealed a complete C5–C20 isoprenoid biosynthesis pathway and multiple biosynthetic gene clusters, including terpene-associated clusters with low similarity to previously characterized pathways. These features indicate the presence of diverse metabolic and biosynthetic capabilities and highlight the dataset as a resource for comparative genomic and functional analyses.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Complete genome sequence of psychrotolerant Lacisediminihabitans sp. FW035 isolated from freshwater in Antarctica\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2026-05-07 07:04:30\",\"doi\":\"10.21203/rs.3.rs-9307513/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-05-18T08:24:14+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-05-07T05:59:39+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"241826690831993146505507095480143310927\",\"date\":\"2026-05-06T01:23:14+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-05-01T13:38:04+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"237253265207187543485997090104203027854\",\"date\":\"2026-04-29T11:12:40+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"36398391589869338990497233400431490784\",\"date\":\"2026-04-29T09:34:30+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewersInvited\",\"content\":\"\",\"date\":\"2026-04-29T09:17:47+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorAssigned\",\"content\":\"\",\"date\":\"2026-04-08T14:36:39+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"checksComplete\",\"content\":\"\",\"date\":\"2026-04-08T14:35:58+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"submitted\",\"content\":\"BMC Genomic Data\",\"date\":\"2026-04-03T00:54:07+00:00\",\"index\":\"\",\"fulltext\":\"\"}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"bmc-genomic-data\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"gtic\",\"sideBox\":\"Learn more about [BMC Genomic Data](http://bmcgenet.biomedcentral.com/)\",\"snPcode\":\"\",\"submissionUrl\":\"https://www.editorialmanager.com/gtic/default.aspx\",\"title\":\"BMC Genomic Data\",\"twitterHandle\":\"BMC_series\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"em\",\"reportingPortfolio\":\"BMC Series\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":true}}],\"origin\":\"\",\"ownerIdentity\":\"02e3b82d-5125-4034-b37c-7193d91a77ed\",\"owner\":[],\"postedDate\":\"May 7th, 2026\",\"published\":true,\"recentEditorialEvents\":[{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-05-18T08:24:14+00:00\",\"index\":26,\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-05-07T05:59:39+00:00\",\"index\":25,\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"241826690831993146505507095480143310927\",\"date\":\"2026-05-06T01:23:14+00:00\",\"index\":23,\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-05-01T13:38:04+00:00\",\"index\":22,\"fulltext\":\"\"}],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"under-review\",\"subjectAreas\":[],\"tags\":[],\"updatedAt\":\"2026-05-07T07:04:30+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2026-05-07 07:04:30\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-9307513\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-9307513\",\"identity\":\"rs-9307513\",\"version\":[\"v1\"]},\"buildId\":\"XKTyCvWXoU3ODBz1xrDgd\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}