TiLV infected tilapia: phenotypes and genotypes

<p dir="ltr">Disease resistance is one of the main targets of animal breeding programs. In recent years, incorporating genomic information to accelerate genetic progress has become one of the priorities of the industry. We combined a fine-mapping analysis using population scale whole...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Diego Robledo (21099218) (author)
منشور في: 2025
الموضوعات:
الوسوم: إضافة وسم
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author Diego Robledo (21099218)
author_facet Diego Robledo (21099218)
author_role author
dc.creator.none.fl_str_mv Diego Robledo (21099218)
dc.date.none.fl_str_mv 2025-04-16T13:13:49Z
dc.identifier.none.fl_str_mv 10.6084/m9.figshare.28806155.v1
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/TiLV_infected_tilapia_phenotypes_and_genotypes/28806155
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Agricultural marine biotechnology
Nile tilapia
genetics
aquaculture
TiLV
GWAS
viral infection
dc.title.none.fl_str_mv TiLV infected tilapia: phenotypes and genotypes
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <p dir="ltr">Disease resistance is one of the main targets of animal breeding programs. In recent years, incorporating genomic information to accelerate genetic progress has become one of the priorities of the industry. We combined a fine-mapping analysis using population scale whole-genome sequence for resistance to Tilapia Lake Virus (TiLV) in a breeding Nile tilapia (<i>Oreochromis niloticus</i>) GIFT population, with gene differential expression and functional annotation analyses. Here, 950 fish from a natural TiLV outbreak were sampled and genotyped for 5.7M SNPs using whole-genome resequencing and imputation. Our results confirmed a major QTL in the proximal end of <i>Oni22</i>, identifying 555 markers significantly associated with binary survival (BS) within a 10 Mb window, and tightly linked with the most significant marker (p-value = 4.90E-11) located at 311 Kb, presenting a substitution effect of 16 %. Highly associated markers with TiLV resistance confer missense mutations in two anti-viral genes harbored in this region; <i>lgals17</i> and <i>vps52</i>. Host transcriptomic response analyses identified genes differentially expressed between resistant and susceptible genotypes according to the major QTL highlighting <i>ha1f</i>. This is the first study combining whole genome sequencing at population scale with genomic approaches to assess the underlying genomic basis for TiLV resistance. Our results confirm and narrow down a major QTL underlying this key trait in a major aquaculture species worldwide. The identified markers and genes have the potential to improve resistance to TiLV in Nile tilapia, significantly improving animal health and welfare.</p>
eu_rights_str_mv openAccess
id Manara_b4706071f70afe888cef88198eecefba
identifier_str_mv 10.6084/m9.figshare.28806155.v1
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/28806155
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling TiLV infected tilapia: phenotypes and genotypesDiego Robledo (21099218)Agricultural marine biotechnologyNile tilapiageneticsaquacultureTiLVGWASviral infection<p dir="ltr">Disease resistance is one of the main targets of animal breeding programs. In recent years, incorporating genomic information to accelerate genetic progress has become one of the priorities of the industry. We combined a fine-mapping analysis using population scale whole-genome sequence for resistance to Tilapia Lake Virus (TiLV) in a breeding Nile tilapia (<i>Oreochromis niloticus</i>) GIFT population, with gene differential expression and functional annotation analyses. Here, 950 fish from a natural TiLV outbreak were sampled and genotyped for 5.7M SNPs using whole-genome resequencing and imputation. Our results confirmed a major QTL in the proximal end of <i>Oni22</i>, identifying 555 markers significantly associated with binary survival (BS) within a 10 Mb window, and tightly linked with the most significant marker (p-value = 4.90E-11) located at 311 Kb, presenting a substitution effect of 16 %. Highly associated markers with TiLV resistance confer missense mutations in two anti-viral genes harbored in this region; <i>lgals17</i> and <i>vps52</i>. Host transcriptomic response analyses identified genes differentially expressed between resistant and susceptible genotypes according to the major QTL highlighting <i>ha1f</i>. This is the first study combining whole genome sequencing at population scale with genomic approaches to assess the underlying genomic basis for TiLV resistance. Our results confirm and narrow down a major QTL underlying this key trait in a major aquaculture species worldwide. The identified markers and genes have the potential to improve resistance to TiLV in Nile tilapia, significantly improving animal health and welfare.</p>2025-04-16T13:13:49ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.28806155.v1https://figshare.com/articles/dataset/TiLV_infected_tilapia_phenotypes_and_genotypes/28806155CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/288061552025-04-16T13:13:49Z
spellingShingle TiLV infected tilapia: phenotypes and genotypes
Diego Robledo (21099218)
Agricultural marine biotechnology
Nile tilapia
genetics
aquaculture
TiLV
GWAS
viral infection
status_str publishedVersion
title TiLV infected tilapia: phenotypes and genotypes
title_full TiLV infected tilapia: phenotypes and genotypes
title_fullStr TiLV infected tilapia: phenotypes and genotypes
title_full_unstemmed TiLV infected tilapia: phenotypes and genotypes
title_short TiLV infected tilapia: phenotypes and genotypes
title_sort TiLV infected tilapia: phenotypes and genotypes
topic Agricultural marine biotechnology
Nile tilapia
genetics
aquaculture
TiLV
GWAS
viral infection