Accuracy of genotype imputation of a low-density SNP array for the Amazon fish Colossoma macropomum DOI Creative Commons
John F.G. Agudelo, Vito A. Mastrochirico-Filho, Baltasar F. García

и другие.

Genetics and Molecular Biology, Год журнала: 2024, Номер 47(3)

Опубликована: Янв. 1, 2024

In South America, Tambaqui (Colossoma macropomum) stands as the primary target for aquaculture, yet breeding programs this Amazon native species are in their early stages. While high-density single nucleotide polymorphism (SNP) arrays pivotal aquaculture breeding, costs can be prohibitive non- or semi-industrial species. To overcome this, a cost-effective approach involves developing low-density SNP followed by genotype imputation to higher densities. study, 1K array tambaqui was created and validated, offering balance between quantity genome representativity. The accuracy from various densities medium-density evaluated, with density demonstrating best trade-off (accuracy of 0.93). This subset further utilized construct commercial through Agriseq™ targeted genotyping-by-sequencing, validated 192 DNA samples, affirming its high quality genotyping tambaqui. array, genome-wide coverage polymorphism, emerges an effective tool exploring genetic variation within diverse populations. Population analyses using panel proved efficient characterization sampled broodstocks, making it valuable resource improvement targeting

Язык: Английский

Advancing genetic improvement in the omics era: status and priorities for United States aquaculture DOI Creative Commons
Linnea K. Andersen, Neil F. Thompson, Jason Abernathy

и другие.

BMC Genomics, Год журнала: 2025, Номер 26(1)

Опубликована: Фев. 17, 2025

The innovations of the "Omics Era" have ushered in significant advancements genetic improvement agriculturally important animal species through transforming genetics, genomics and breeding strategies. These were often coordinated, part, by support provided over 30 years 1993-2023 National Research Support Project 8 (NRSP8, Animal Genome Program, NAGRP) affiliate projects focused on enabling genomic discoveries livestock, poultry, aquaculture species. parallel advances demand strategic planning future research priorities. This paper, as an output from May 2023 Aquaculture Genomics, Genetics, Breeding Workshop, provides updated status resources for United States species, highlighting major achievements emerging Finfish shellfish genome omics enhance our understanding architecture heritability performance production traits. Workshop identified present aims genomics/omics to build this progress: (1) advancing reference assembly quality; (2) integrating multi-omics data analysis traits; (3) developing collection integration phenomics data; (4) creating pathways applying information across industries; (5) providing training, extension, outreach application phenome. focuses should emphasize collection, artificial intelligence, identifying causative relationships between genotypes phenotypes, establishing apply tools industries, expansion training programs next-generation workforce facilitate sciences into operations productivity, competitiveness, sustainability. collective vision with focus highlighted priorities is intended continued advancement genomics, genetics community industries. Critical challenges ahead include practical analytical frameworks beyond academic communities that require collaborative partnerships academia, government, industry. scope review encompasses use applications study aquatic animals cultivated human consumption settings throughout their life-cycle.

Язык: Английский

Процитировано

2

Advancing fish breeding in aquaculture through genome functional annotation DOI Creative Commons
Ian A. Johnston, Matthew Kent, Pierre Boudinot

и другие.

Aquaculture, Год журнала: 2024, Номер 583, С. 740589 - 740589

Опубликована: Янв. 17, 2024

Genomics is increasingly applied in breeding programmes for farmed fish and shellfish species around the world. However, current applications do not include information on genome functional activity, which can enhance opportunities to predict relationships between genotypes phenotypes hence increase accuracy of selection. Here, we review prospects improving aquaculture practises through uptake genomics data light EU Horizon 2020 project AQUA-FAANG: ‘Advancing European Aquaculture by Genome Functional Annotation’. This consortium targeted six major aquaculture, producing thousands genomic datasets from samples representing embryos mature adults both sexes, following immunological stimulation. was used catalogue activity across each species, revealing transcribed regions, distinct chromatin states regulatory elements impacting gene expression. These annotations were shared as open Ensembl browser using latest reference genomes species. AQUA-FAANG offers novel identify prioritize causative genetic variants responsible diverse traits including disease resistance, be exploited selective breeding. Such knowledge associated resources have potential improve sustainability boost production accelerating gain health robustness infection, whilst reducing requirement animal testing. We further outline directions advance leverage annotation beyond project. Given diversity sectors businesses, incorporation into decisions will depend technological readiness level scale operation, with cost-benefit analysis necessary determine most profitable approach system.

Язык: Английский

Процитировано

11

Comparative analysis of genomic prediction models based on body weight trait in large yellow croaker (Larimichthys crocea) DOI

Jialu Fang,

Qinglei Xu, Limin Feng

и другие.

Aquaculture, Год журнала: 2025, Номер 599, С. 742125 - 742125

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

0

Accuracies of genomic prediction accounting for genotype by environment remain high when using small sets of selected SNPs in barramundi Lates calcarifer DOI
Cécile Massault, David B. Jones,

Lison Marie

и другие.

Aquaculture, Год журнала: 2025, Номер unknown, С. 742138 - 742138

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Application of genomic selection in species derived from fisheries of interest in aquaculture within RAS systems: The case of Seriola lalandi DOI
Víctor A. Vidal Martínez, E. Hernández, Jennifer Dorner

и другие.

Aquaculture, Год журнала: 2025, Номер unknown, С. 742518 - 742518

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Optimizing genotype imputation strategy for low-coverage whole-genome resequencing and investigating genomic selection signatures in domesticated Paralichthys olivaceus DOI
Hao Sun, Xinyi Wang, Weihua Cai

и другие.

Aquaculture Reports, Год журнала: 2025, Номер 42, С. 102826 - 102826

Опубликована: Апрель 21, 2025

Язык: Английский

Процитировано

0

Effects of marker density on genomic prediction for yield traits in sweet corn DOI
Guilherme Repeza Marquez, Shichen Zhang‐Biehn, Zhigang Guo

и другие.

Euphytica, Год журнала: 2024, Номер 220(4)

Опубликована: Март 13, 2024

Язык: Английский

Процитировано

3

A newly developed 20 K SNP array reveals QTLs for disease resistance to Cryptocaryon irritans in tiger pufferfish (Takifugu rubripes) DOI
Yangzhen Li, Clémence Fraslin, Yong Chi

и другие.

Aquaculture, Год журнала: 2024, Номер unknown, С. 741652 - 741652

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

3

Genomic predictions for resistance to Aeromonas hydrophila in pacu (Piaractus mesopotamicus) DOI
S. Manso, Baltasar F. García, Vito A. Mastrochirico-Filho

и другие.

Aquaculture, Год журнала: 2024, Номер 582, С. 740553 - 740553

Опубликована: Янв. 5, 2024

Язык: Английский

Процитировано

1

The BLUP method in evaluation of breeding values of Russian spring wheat lines using micro- and macroelements in seeds DOI Creative Commons

N. A. Potapova,

Alexander S. Zlobin, И. Н. Леонова

и другие.

Vavilov Journal of Genetics and Breeding, Год журнала: 2024, Номер 28(4), С. 456 - 462

Опубликована: Июль 11, 2024

Genomic selection is a technology that allows for the determination of genetic value varieties agricultural plants and animal breeds, based on information about genotypes phenotypes. The measured breeding (BV) breeds in relation to target trait stages be thoroughly planned parent forms suitable crossing chosen. In this work, BLUP method was used assess 149 Russian introgression lines (4 measurements each variety or line, 596 phenotypic points) spring wheat according content seven chemical elements grain – K, Ca, Mg, Mn, Fe, Zn, Cu. quality evaluation values assessed using cross-validation, when sample randomly divided into five parts, one which chosen as test population. following average Pearson correlation were obtained predicting concentration trace elements: K 0.67, Ca 0.61, Mg 0.4, Mn 0.5, Fe 0.38, Zn 0.46, Cu 0.48. Out 35 models studied, p-value below nominal significant threshold (p-value < 0.05) 28 models. For 11 models, after correction multiple testing 0.001). four out two had adjusted testing. 30 showed best varietal 296.43, 785.11 4.87 mg/kg higher, respectively, than results show relevance application genomic even such limited-size samples. are assessing these characteristics.

Язык: Английский

Процитировано

1