Evidence map›Paper›PMID 41239185›Full record

ArticleG3 (Bethesda, Md.)2026

Fine mapping and functional annotation of a QTL for resistance to tilapia lake virus in Nile tilapia (Oreochromis niloticus).

Agustin Barría, Pankaew Nunticha, Trịnh Quốc Trọng, Mahirah Mahmuddin, Carolina Peñaloza, Athina Papadopoulou, Ophelie Gervais, V Mohan Chadag, Ross D Houston, John A H Benzie and 1 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Agustin BarríaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.ORCID 0000-0002-2813-4559
Pankaew NuntichaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.ORCID 0000-0001-8307-1573
Trịnh Quốc TrọngBenchmark Genetics Norway AS, Bergen 5003, Norway.
Mahirah MahmuddinWorldFish, Jalan Batu Maung, Batu Maung, Bayan Lepas, Penang 11960, Malaysia.ORCID 0000-0002-4907-7784
Carolina PeñalozaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.
Athina PapadopoulouThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.ORCID 0000-0001-7956-9627
Ophelie GervaisThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.
V Mohan ChadagWorldFish, Jalan Batu Maung, Batu Maung, Bayan Lepas, Penang 11960, Malaysia.
Ross D HoustonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.ORCID 0000-0003-1805-0762
John A H BenzieWorldFish, Jalan Batu Maung, Batu Maung, Bayan Lepas, Penang 11960, Malaysia.
Diego RobledoThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.ORCID 0000-0002-9616-5912

Funding

BBSRCCGIAR Research Initiative on Resilient Aquatic Food Systems for Healthy People and PlanetCGIAR Research Program on Fish Agri-Food SystemsCGIAR Trust FundInstitute Strategic ProgrammeRoslin Institute BB/P013740/1Roslin Institute BB/P013759/1Roslin Institute BBS/E/D/10002070Roslin Institute BBS/E/D/20002172Roslin Institute BBS/E/D/30002275Roslin Institute BBS/E/RL/230002AWorldFish
6 · The paper itself

Abstract

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. Here, we combined population-scale whole-genome sequencing with differential gene expression and functional annotation analyses to study resistance to tilapia lake virus (TiLV) in a breeding Nile tilapia (Oreochromis niloticus) GIFT population. Fish with survival data from a natural TiLV outbreak were sampled and genotyped for 6.7 M SNPs using whole-genome resequencing and imputation. Our results confirmed a QTL located in the proximal end of Oni22, identifying 74 out of the top 99 markers associated with binary survival within a 10 Mb window. The marker explaining the highest genetic variance of TiLV resistance is located at 1.7 Mb and presents a substitution effect of 0.15. Additionally, other SNPs in several other chromosomes explained a high percentage of the genetic variance, with an important number located in 2 separate regions of Oni09. These results suggest an oligogenic architecture underlying resistance to TiLV, with several QTLs with moderate effect and many with small effect. Host transcriptomic analyses identified genes differentially expressed between resistant and susceptible genotypes according to the QTL in Oni22, highlighting proteosome subunit beta type-9a, and ha1f as potential causal genes. This is the first study combining whole-genome sequencing at a population scale with genomic approaches to assess the underlying genomic basis for TiLV resistance. Our results confirm and narrow down a QTL underlying this key trait in a major aquaculture species worldwide, and found novel QTLs in other chromosomes. The identified markers and genes have the potential to improve resistance to TiLV in Nile tilapia, significantly improving animal health and welfare.

Indexed as

CichlidsDisease ResistanceFish DiseasesQuantitative Trait LociAnimalsChromosome MappingGenotypeMolecular Sequence AnnotationPolymorphism, Single Nucleotideaquaculturefine mappinggenomicsNile tilapiaselective breedingtilapia lake virus

Identifiers

PMID41239185
PMCPMC12774591

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.