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Whole genome sequencing of mouse lines divergently selected for fatness (FLI) and leanness (FHI) revealed several genetic variants as candidates for novel obesity genes
ID Šimon, Martin (Avtor), ID Mikec, Špela (Avtor), ID Atanur, Santosh S. (Avtor), ID Konc, Janez (Avtor), ID Morton, Nicholas M. (Avtor), ID Horvat, Simon (Avtor), ID Kunej, Tanja (Avtor)

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Izvleček
Background Analysing genomes of animal model organisms is widely used for understanding the genetic basis of complex traits and diseases, such as obesity, for which only a few mouse models exist, however, without their lean counterparts. Objective To analyse genetic differences in the unique mouse models of polygenic obesity (Fat line) and leanness (Lean line) originating from the same base population and established by divergent selection over more than 60 generations. Methods Genetic variability was analysed using WGS. Variants were identified with GATK and annotated with Ensembl VEP. g.Profiler, WebGestalt, and KEGG were used for GO and pathway enrichment analysis. miRNA seed regions were obtained with miRPathDB 2.0, LncRRIsearch was used to predict targets of identified lncRNAs, and genes influencing adipose tissue amount were searched using the IMPC database. Results WGS analysis revealed 6.3 million SNPs, 1.3 million were new. Thousands of potentially impactful SNPs were identified, including within 24 genes related to adipose tissue amount. SNP density was highest in pseudogenes and regulatory RNAs. The Lean line carries SNP rs248726381 in the seed region of mmu-miR-3086-3p, which may affect fatty acid metabolism. KEGG analysis showed deleterious missense variants in immune response and diabetes genes, with food perception pathways being most enriched. Gene prioritisation considering SNP GERP scores, variant consequences, and allele comparison with other mouse lines identified seven novel obesity candidate genes: 4930441H08Rik, Aff3, Fam237b, Gm36633, Pced1a, Tecrl, and Zfp536. Conclusion WGS revealed many genetic differences between the lines that accumulated over the selection period, including variants with potential negative impacts on gene function. Given the increasing availability of mouse strains and genetic polymorphism catalogues, the study is a valuable resource for researchers to study obesity.

Jezik:Angleški jezik
Ključne besede:obesity, mouse models, whole-genome sequencing, single-nucleotide polymorphism
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:BF - Biotehniška fakulteta
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2024
Št. strani:Str. 557–575
Številčenje:Vol. 46, iss. 5
PID:20.500.12556/RUL-156151 Povezava se odpre v novem oknu
UDK:575
ISSN pri članku:2092-9293
DOI:10.1007/s13258-024-01507-9 Povezava se odpre v novem oknu
COBISS.SI-ID:189189379 Povezava se odpre v novem oknu
Datum objave v RUL:10.05.2024
Število ogledov:458
Število prenosov:168
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Genes & genomics
Skrajšan naslov:Genes genomics
Založnik:Springer Nature, The Genetics Society of Korea
ISSN:2092-9293
COBISS.SI-ID:517618969 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:debelost, mišji modeli, genetika, genomika, kandidatni geni

Projekti

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Program financ.:Young researchers

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:J4-2548
Naslov:Vpliv RNA variant na fenotipsko raznolikost pri živalskih modelih

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P4-0220
Naslov:Primerjalna genomika in genomska biodiverziteta

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