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Empirical versus estimated accuracy of imputation: optimising filtering thresholds for sequence imputation Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-11-15 Tuan V. Nguyen, Sunduimijid Bolormaa, Coralie M. Reich, Amanda J. Chamberlain, Christy J. Vander Jagt, Hans D. Daetwyler, Iona M. MacLeod
Genotype imputation is a cost-effective method for obtaining sequence genotypes for downstream analyses such as genome-wide association studies (GWAS). However, low imputation accuracy can increase the risk of false positives, so it is important to pre-filter data or at least assess the potential limitations due to imputation accuracy. In this study, we benchmarked three different imputation programs
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The effect of phenotyping, adult selection, and mating strategies on genetic gain and rate of inbreeding in black soldier fly breeding programs Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-11-04 Margot Slagboom, Hanne Marie Nielsen, Morten Kargo, Mark Henryon, Laura Skrubbeltrang Hansen
The aim of this study was to compare genetic gain and rate of inbreeding for different mass selection breeding programs with the aim of increasing larval body weight (LBW) in black soldier flies. The breeding programs differed in: (1) sampling of individuals for phenotyping (either random over the whole population or a fixed number per full sib family), (2) selection of adult flies for breeding (based
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Investigating genotype by environment interaction for beef cattle fertility traits in commercial herds in northern Australia with multi-trait analysis Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-10-31 James P. Copley, Benjamin J. Hayes, Elizabeth M. Ross, Shannon Speight, Geoffry Fordyce, Benjamin J. Wood, Bailey N. Engle
Genotype by environment interactions (GxE) affect a range of production traits in beef cattle. Quantifying the effect of GxE in commercial and multi-breed herds is challenging due to unknown genetic linkage between animals across environment levels. The primary aim of this study was to use multi-trait models to investigate GxE for three heifer fertility traits, corpus luteum (CL) presence, first pregnancy
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Combined genomic evaluation of Merino and Dohne Merino Australian sheep populations Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-30 Marine Wicki, Daniel J. Brown, Phillip M. Gurman, Jérôme Raoul, Andrés Legarra, Andrew A. Swan
The Dohne Merino sheep was introduced to Australia from South Africa in the 1990s. It was primarily used in crosses with the Merino breed sheep to improve on attributes such as reproduction and carcass composition. Since then, this breed has continued to expand in Australia but the number of genotyped and phenotyped purebred individuals remains low, calling into question the accuracy of genomic selection
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QTL analysis to identify genes involved in the trade-off between silk protein synthesis and larva-pupa transition in silkworms Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-30 Rui Gao, Chunlin Li, Ang Zhou, Xiachao Wang, Kupeng Lu, Weidong Zuo, Hai Hu, Minjin Han, Xiaoling Tong, Fangyin Dai
Insect-based food and feed are increasingly attracting attention. As a domesticated insect, the silkworm (Bombyx mori) has a highly nutritious pupa that can be easily raised in large quantities through large-scale farming, making it a highly promising source of food. The ratio of pupa to cocoon (RPC) refers to the proportion of the weight of the cocoon that is attributed to pupae, and is of significant
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A million-cow genome-wide association study of productive life in U.S. Holstein cows Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-26 Zuoxiang Liang, Dzianis Prakapenka, Hafedh B. Zaabza, Paul M. VanRaden, Curtis P. Van Tassell, Yang Da
Productive life (PL) of a cow is the time the cow remains in the milking herd from first calving to exit from the herd due to culling or death and is an important economic trait in U.S. Holstein cattle. The large samples of Holstein genomic evaluation data that have become available recently provided unprecedented statistical power to identify genetic factors affecting PL in Holstein cows using the
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Identification of genomic regions associated with fatty acid metabolism across blood, liver, backfat and muscle in pigs Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-26 Junhui Liu, Cristina Sebastià, Teodor Jové-Juncà, Raquel Quintanilla, Olga González-Rodríguez, Magí Passols, Anna Castelló, Armand Sánchez, Maria Ballester, Josep M. Folch
The composition and distribution of fatty acids (FA) are important factors determining the quality, flavor, and nutrient value of meat. In addition, FAs synthesized in the body participate in energy metabolism and are involved in different regulatory pathways in the form of signaling molecules or by acting as agonist or antagonist ligands of different nuclear receptors. Finally, synthesis and catabolism
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Genotyping both live and dead animals to improve post-weaning survival of pigs in breeding programs Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-18 Md Sharif-Islam, Julius H. J. van der Werf, Mark Henryon, Thinh Tuan Chu, Benjamin J. Wood, Susanne Hermesch
In this study, we tested whether genotyping both live and dead animals (GSD) realises more genetic gain for post-weaning survival (PWS) in pigs compared to genotyping only live animals (GOS). Stochastic simulation was used to estimate the rate of genetic gain realised by GSD and GOS at a 0.01 rate of pedigree-based inbreeding in three breeding schemes, which differed in PWS (95%, 90% and 50%) and litter
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A comprehensive atlas of nuclear sequences of mitochondrial origin (NUMT) inserted into the pig genome Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-16 Matteo Bolner, Samuele Bovo, Mohamad Ballan, Giuseppina Schiavo, Valeria Taurisano, Anisa Ribani, Francesca Bertolini, Luca Fontanesi
The integration of nuclear mitochondrial DNA (mtDNA) into the mammalian genomes is an ongoing, yet rare evolutionary process that produces nuclear sequences of mitochondrial origin (NUMT). In this study, we identified and analysed NUMT inserted into the pig (Sus scrofa) genome and in the genomes of a few other Suinae species. First, we constructed a comparative distribution map of NUMT in the Sscrofa11
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Genetic parameters and genotype-by-environment interaction estimates for growth and feed efficiency related traits in Chinook salmon, Oncorhynchus tshawytscha, reared under low and moderate flow regimes Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-12 Leteisha A. Prescott, Megan R. Scholtens, Seumas P. Walker, Shannon M. Clarke, Ken G. Dodds, Matthew R. Miller, Jayson M. Semmens, Chris G. Carter, Jane E. Symonds
A genotype-by-environment (G × E) interaction is defined as genotypes responding differently to different environments. In salmonids, G × E interactions can occur in different rearing conditions, including changes in salinity or temperature. However, water flow, an important variable that can influence metabolism, has yet to be considered for potential G × E interactions, although water flows differ
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Mitochondrial sequence variants: testing imputation accuracy and their association with dairy cattle milk traits Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-12 Jigme Dorji, Amanda J. Chamberlain, Coralie M. Reich, Christy J. VanderJagt, Tuan V. Nguyen, Hans D. Daetwyler, Iona M. MacLeod
Mitochondrial genomes differ from the nuclear genome and in humans it is known that mitochondrial variants contribute to genetic disorders. Prior to genomics, some livestock studies assessed the role of the mitochondrial genome but these were limited and inconclusive. Modern genome sequencing provides an opportunity to re-evaluate the potential impact of mitochondrial variation on livestock traits
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Segregation GWAS to linearize a non-additive locus with incomplete penetrance: an example of horn status in sheep Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-03 Naomi Duijvesteijn, Julius H. J. van der Werf, Brian P. Kinghorn
The objective of this study was to introduce a genome-wide association study (GWAS) in conjunction with segregation analysis on monogenic categorical traits. Genotype probabilities calculated from phenotypes, mode of inheritance and pedigree information, are expressed as the expected allele count (EAC) (range 0 to 2), and are inherited additively, by definition, unlike the original phenotypes, which
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Population structure and breed identification of Chinese indigenous sheep breeds using whole genome SNPs and InDels Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-09-03 Chang-heng Zhao, Dan Wang, Cheng Yang, Yan Chen, Jun Teng, Xin-yi Zhang, Zhi Cao, Xian-ming Wei, Chao Ning, Qi-en Yang, Wen-fa Lv, Qin Zhang
Accurate breed identification is essential for the conservation and sustainable use of indigenous farm animal genetic resources. In this study, we evaluated the phylogenetic relationships and genomic breed compositions of 13 sheep breeds using SNP and InDel data from whole genome sequencing. The breeds included 11 Chinese indigenous and 2 foreign commercial breeds. We compared different strategies
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Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populations Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-08-22 Natália Galoro Leite, Matias Bermann, Shogo Tsuruta, Ignacy Misztal, Daniela Lourenco
Single-nucleotide polymorphism (SNP) effects can be backsolved from ssGBLUP genomic estimated breeding values (GEBV) and used for genome-wide association studies (ssGWAS). However, obtaining p-values for those SNP effects relies on the inversion of dense matrices, which poses computational limitations in large genotyped populations. In this study, we present a method to approximate SNP p-values for
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A computationally feasible multi-trait single-step genomic prediction model with trait-specific marker weights Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-08-16 Ismo Strandén, Janez Jenko
Regions of genome-wide marker data may have differing influences on the evaluated traits. This can be reflected in the genomic models by assigning different weights to the markers, which can enhance the accuracy of genomic prediction. However, the standard multi-trait single-step genomic evaluation model can be computationally infeasible when the traits are allowed to have different marker weights
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Analysis of the genetic variance of fibre diameter measured along the wool staple for use as a potential indicator of resilience in sheep Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-08-06 Erin G. Smith, Dominic L. Waters, Samuel F. Walkom, Sam A. Clark
The effects of environmental disturbances on livestock are often observed indirectly through the variability patterns of repeated performance records over time. Sheep are frequently exposed to diverse extensive environments but currently lack appropriate measures of resilience (or sensitivity) towards environmental disturbance. In this study, random regression models were used to analyse repeated records
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Genetic diversity of United States Rambouillet, Katahdin and Dorper sheep Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-07-30 Gabrielle M. Becker, Jacob W. Thorne, Joan M. Burke, Ronald M. Lewis, David R. Notter, James L. M. Morgan, Christopher S. Schauer, Whit C. Stewart, R. R. Redden, Brenda M. Murdoch
Managing genetic diversity is critically important for maintaining species fitness. Excessive homozygosity caused by the loss of genetic diversity can have detrimental effects on the reproduction and production performance of a breed. Analysis of genetic diversity can facilitate the identification of signatures of selection which may contribute to the specific characteristics regarding the health,
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Investigating the footprint of post-domestication dispersal on the diversity of modern European, African and Asian goats Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-07-27 Elena Petretto, Maria Luisa Dettori, María Gracia Luigi-Sierra, Antonia Noce, Michele Pazzola, Giuseppe Massimo Vacca, Antonio Molina, Amparo Martínez, Félix Goyache, Sean Carolan, Marcel Amills
Goats were domesticated in the Fertile Crescent about 10,000 years before present (YBP) and subsequently spread across Eurasia and Africa. This dispersal is expected to generate a gradient of declining genetic diversity with increasing distance from the areas of early livestock management. Previous studies have reported the existence of such genetic cline in European goat populations, but they were
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Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-07-15 Zexi Cai, Terhi Iso-Touru, Marie-Pierre Sanchez, Naveen Kadri, Aniek C. Bouwman, Praveen Krishna Chitneedi, Iona M. MacLeod, Christy J. Vander Jagt, Amanda J. Chamberlain, Birgit Gredler-Grandl, Mirjam Spengeler, Mogens Sandø Lund, Didier Boichard, Christa Kühn, Hubert Pausch, Johanna Vilkki, Goutam Sahana
Mastitis is a disease that incurs significant costs in the dairy industry. A promising approach to mitigate its negative effects is to genetically improve the resistance of dairy cattle to mastitis. A meta-analysis of genome-wide association studies (GWAS) across multiple breeds for clinical mastitis (CM) and its indicator trait, somatic cell score (SCS), is a powerful method to identify functional
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Using high-density SNP data to unravel the origin of the Franches-Montagnes horse breed Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-07-10 Annik Imogen Gmel, Sofia Mikko, Anne Ricard, Brandon D. Velie, Vinzenz Gerber, Natasha Anne Hamilton, Markus Neuditschko
The Franches-Montagnes (FM) is the last native horse breed of Switzerland, established at the end of the 19th century by cross-breeding local mares with Anglo-Norman stallions. We collected high-density SNP genotype data (Axiom™ 670 K Equine genotyping array) from 522 FM horses, including 44 old-type horses (OF), 514 European Warmblood horses (WB) from Sweden and Switzerland (including a stallion used
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Genetic and genomic analysis of Belgian Blue’s susceptibility for psoroptic mange Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-07-05 Roel Meyermans, Steven Janssens, Annelies Coussé, Susanne Tinel, Wim Gorssen, Fabrice Lepot, Xavier Hubin, Patrick Mayeres, Wim Veulemans, Nathalie De Wilde, Tom Druet, Michel Georges, Carole Charlier, Edwin Claerebout, Nadine Buys
Psoroptic mange, caused by Psoroptes ovis mites, is affecting Belgian Blue cattle’s welfare and production potential. The Belgian Blue cattle—known for its high degree of muscling, low feed conversion ratio and high beef quality—is highly susceptible for this disease. In this study, we phenotyped 1975 Belgian Blue cattle from more than 100 different groups on commercial beef farms for their psoroptic
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The black honey bee genome: insights on specific structural elements and a first step towards pangenomes Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-28 Sonia E. Eynard, Christophe Klopp, Kamila Canale-Tabet, William Marande, Céline Vandecasteele, Céline Roques, Cécile Donnadieu, Quentin Boone, Bertrand Servin, Alain Vignal
The honey bee reference genome, HAv3.1, was produced from a commercial line sample that was thought to have a largely dominant Apis mellifera ligustica genetic background. Apis mellifera mellifera, often referred to as the black bee, has a separate evolutionary history and is the original type in western and northern Europe. Growing interest in this subspecies for conservation and non-professional
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Allele-specific binding variants causing ChIP-seq peak height of histone modification are not enriched in expression QTL annotations Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-27 Mohammad Ghoreishifar, Amanda J. Chamberlain, Ruidong Xiang, Claire P. Prowse-Wilkins, Thomas J. Lopdell, Mathew D. Littlejohn, Jennie E. Pryce, Michael E. Goddard
Genome sequence variants affecting complex traits (quantitative trait loci, QTL) are enriched in functional regions of the genome, such as those marked by certain histone modifications. These variants are believed to influence gene expression. However, due to the linkage disequilibrium among nearby variants, pinpointing the precise location of QTL is challenging. We aimed to identify allele-specific
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Predictive ability of multi-population genomic prediction methods of phenotypes for reproduction traits in Chinese and Austrian pigs Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-26 Xue Wang, Zipeng Zhang, Hehe Du, Christina Pfeiffer, Gábor Mészáros, Xiangdong Ding
Multi-population genomic prediction can rapidly expand the size of the reference population and improve genomic prediction ability. Machine learning (ML) algorithms have shown advantages in single-population genomic prediction of phenotypes. However, few studies have explored the effectiveness of ML methods for multi-population genomic prediction. In this study, 3720 Yorkshire pigs from Austria and
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Breeding for resilience in finishing pigs can decrease tail biting, lameness and mortality Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-20 Wim Gorssen, Carmen Winters, Roel Meyermans, Léa Chapard, Katrijn Hooyberghs, Jürgen Depuydt, Steven Janssens, Han Mulder, Nadine Buys
Previous research showed that deviations in longitudinal data are heritable and can be used as a proxy for pigs’ general resilience. However, only a few studies investigated the relationship between these resilience traits and other traits related to resilience and welfare. Therefore, this study investigated the relationship between resilience traits derived from deviations in longitudinal data and
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The RHCE gene encodes the chicken blood system I Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-19 Janet E. Fulton, Amy M. McCarron, Ashlee R. Lund, Wioleta Drobik-Czwarno, Abigail Mullen, Anna Wolc, Joanna Szadkowska, Carl J. Schmidt, Robert L. Taylor
There are 13 known chicken blood systems, which were originally detected by agglutination of red blood cells by specific alloantisera. The genomic region or specific gene responsible has been identified for four of these systems (A, B, D and E). We determined the identity of the gene responsible for the chicken blood system I, using DNA from multiple birds with known chicken I blood system serology
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Investigating the impact of paternal age, paternal heat stress, and estimation of non-genetic paternal variance on dairy cow phenotype Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-18 Corentin Fouéré, Chris Hozé, Florian Besnard, Mekki Boussaha, Didier Boichard, Marie-Pierre Sanchez
Linear models that are commonly used to predict breeding values in livestock species consider paternal influence solely as a genetic effect. However, emerging evidence in several species suggests the potential effect of non-genetic semen-mediated paternal effects on offspring phenotype. This study contributes to such research by analyzing the extent of non-genetic paternal effects on the performance
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Genomic analyses of withers height and linear conformation traits in German Warmblood horses using imputed sequence-level genotypes Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-13 Paula Reich, Sandra Möller, Kathrin F. Stock, Wietje Nolte, Mario von Depka Prondzinski, Reinhard Reents, Ernst Kalm, Christa Kühn, Georg Thaller, Clemens Falker-Gieske, Jens Tetens
Body conformation, including withers height, is a major selection criterion in horse breeding and is associated with other important traits, such as health and performance. However, little is known about the genomic background of equine conformation. Therefore, the aim of this study was to use imputed sequence-level genotypes from up to 4891 German Warmblood horses to identify genomic regions associated
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Genetic parameters for novel climatic resilience indicators derived from automatically-recorded vaginal temperature in lactating sows under heat stress conditions Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-10 Hui Wen, Jay S. Johnson, Leonardo S. Gloria, Andre C. Araujo, Jacob M. Maskal, Sharlene Olivette Hartman, Felipe E. de Carvalho, Artur Oliveira Rocha, Yijian Huang, Francesco Tiezzi, Christian Maltecca, Allan P. Schinckel, Luiz F. Brito
Longitudinal records of automatically-recorded vaginal temperature (TV) could be a key source of data for deriving novel indicators of climatic resilience (CR) for breeding more resilient pigs, especially during lactation when sows are at an increased risk of suffering from heat stress (HS). Therefore, we derived 15 CR indicators based on the variability in TV in lactating sows and estimated their
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Definition of metafounders based on population structure analysis Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-06 Christine Anglhuber, Christian Edel, Eduardo C. G. Pimentel, Reiner Emmerling, Kay-Uwe Götz, Georg Thaller
Limitations of the concept of identity by descent in the presence of stratification within a breeding population may lead to an incomplete formulation of the conventional numerator relationship matrix ( $$\mathbf{A}$$ ). Combining $$\mathbf{A}$$ with the genomic relationship matrix ( $$\mathbf{G}$$ ) in a single-step approach for genetic evaluation may cause inconsistencies that can be a source of
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Using expression data to fine map QTL associated with fertility in dairy cattle Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-06-06 Irene van den Berg, Amanda J. Chamberlain, Iona M. MacLeod, Tuan V. Nguyen, Mike E. Goddard, Ruidong Xiang, Brett Mason, Susanne Meier, Claire V. C. Phyn, Chris R. Burke, Jennie E. Pryce
Female fertility is an important trait in dairy cattle. Identifying putative causal variants associated with fertility may help to improve the accuracy of genomic prediction of fertility. Combining expression data (eQTL) of genes, exons, gene splicing and allele specific expression is a promising approach to fine map QTL to get closer to the causal mutations. Another approach is to identify genomic
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Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-21 Tobias A. M. Niehoff, Jan ten Napel, Piter Bijma, Torsten Pook, Yvonne C. J. Wientjes, Bernadett Hegedűs, Mario P. L. Calus
Breeding programs are judged by the genetic level of animals that are used to disseminate genetic progress. These animals are typically the best ones of the population. To maximise the genetic level of very good animals in the next generation, parents that are more likely to produce top performing offspring need to be selected. The ability of individuals to produce high-performing progeny differs because
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Integration of selective sweeps across the sheep genome: understanding the relationship between production and adaptation traits Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-21 Pablo A. S. Fonseca, Aroa Suárez-Vega, Juan J. Arranz, Beatriz Gutiérrez-Gil
Livestock populations are under constant selective pressure for higher productivity levels for different selective purposes. This pressure results in the selection of animals with unique adaptive and production traits. The study of genomic regions associated with these unique characteristics has the potential to improve biological knowledge regarding the adaptive process and how it is connected to
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A recurrent de novo missense mutation in COL1A1 causes osteogenesis imperfecta type II and preterm delivery in Normande cattle Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-21 Julien Corbeau, Cécile Grohs, Jeanlin Jourdain, Mekki Boussaha, Florian Besnard, Anne Barbat, Vincent Plassard, Julie Rivière, Christophe Hamelin, Jeremy Mortier, Didier Boichard, Raphaël Guatteo, Aurélien Capitan
Nine male and eight female calves born to a Normande artificial insemination bull named “Ly” were referred to the French National Observatory of Bovine Abnormalities for multiple fractures, shortened gestation, and stillbirth or perinatal mortality. Using Illumina BovineSNP50 array genotypes from affected calves and 84 half-sib controls, the associated locus was mapped to a 6.5-Mb interval on chromosome
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Accuracy of genomic prediction using multiple Atlantic salmon populations Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-15 Afees A. Ajasa, Solomon A. Boison, Hans M. Gjøen, Marie Lillehammer
The accuracy of genomic prediction is partly determined by the size of the reference population. In Atlantic salmon breeding programs, four parallel populations often exist, thus offering the opportunity to increase the size of the reference set by combining these populations. By allowing a reduction in the number of records per population, multi-population prediction can potentially reduce cost and
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Whole-genome sequences restore the original classification of dabbling ducks (genus Anas) Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-13 Zhou Zhang, Huashui Ai, Lusheng Huang
Anas, is a genus of dabbling ducks and encompasses a considerable number of species, among which some are the progenitors of domestic ducks. However, the taxonomic position of the Anas genus remains uncertain because several of its species, initially categorized as Anas based on morphological characteristics, were subsequently reclassified and grouped with the South American genus Tachyeres, primarily
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Academic research and training to advance global agriculture through quantitative genetics: a personal perspective on the contributions of Rohan Fernando Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-03 Liviu Radu Totir
Rohan Fernando is known and celebrated for many outstanding technical contributions to Animal Breeding and Quantitative Genetics [1]. The intent of this Editorial is to provide a personal perspective on the impact of Rohan’s scientific and pedagogical excellence on global agriculture. In the animal breeding and genetics community, it is well known that Rohan has played key technical roles in multiple
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Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation–maximization maximum likelihood and increase of relationships Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-02 Andres Legarra, Matias Bermann, Quanshun Mei, Ole F. Christensen
The theory of “metafounders” proposes a unified framework for relationships across base populations within breeds (e.g. unknown parent groups), and base populations across breeds (crosses) together with a sensible compatibility with genomic relationships. Considering metafounders might be advantageous in pedigree best linear unbiased prediction (BLUP) or single-step genomic BLUP. Existing methods to
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Redefining and interpreting genomic relationships of metafounders Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-02 Andres Legarra, Matias Bermann, Quanshun Mei, Ole F. Christensen
Metafounders are a useful concept to characterize relationships within and across populations, and to help genetic evaluations because they help modelling the means and variances of unknown base population animals. Current definitions of metafounder relationships are sensitive to the choice of reference alleles and have not been compared to their counterparts in population genetics—namely, heterozygosities
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Equivalence of variance components between standard and recursive genetic models using LDL′ transformations Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-02 Luis Varona, David López-Carbonell, Houssemeddine Srihi, Carlos Hervás-Rivero, Óscar González-Recio, Juan Altarriba
Recursive models are a category of structural equation models that propose a causal relationship between traits. These models are more parameterized than multiple trait models, and they require imposing restrictions on the parameter space to ensure statistical identification. Nevertheless, in certain situations, the likelihood of recursive models and multiple trait models are equivalent. Consequently
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Genetic legacy and adaptive signatures: investigating the history, diversity, and selection signatures in Rendena cattle resilient to eighteenth century rinderpest epidemics Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-05-02 Elisa Somenzi, Erika Partel, Mario Barbato, Ana María Chero Osorio, Licia Colli, Niccolò Franceschi, Roberto Mantovani, Fabio Pilla, Matteo Komjanc, Alessandro Achilli, Heidi Christine Hauffe, Paolo Ajmone Marsan
Rendena is a dual-purpose cattle breed, which is primarily found in the Italian Alps and the eastern areas of the Po valley, and recognized for its longevity, fertility, disease resistance and adaptability to steep Alpine pastures. It is categorized as 'vulnerable to extinction' with only 6057 registered animals in 2022, yet no comprehensive analyses of its molecular diversity have been performed to
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Genomic prediction of blood biomarkers of metabolic disorders in Holstein cattle using parametric and nonparametric models Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-29 Lucio F. M. Mota, Diana Giannuzzi, Sara Pegolo, Enrico Sturaro, Daniel Gianola, Riccardo Negrini, Erminio Trevisi, Paolo Ajmone Marsan, Alessio Cecchinato
Metabolic disturbances adversely impact productive and reproductive performance of dairy cattle due to changes in endocrine status and immune function, which increase the risk of disease. This may occur in the post-partum phase, but also throughout lactation, with sub-clinical symptoms. Recently, increased attention has been directed towards improved health and resilience in dairy cattle, and genomic
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Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-17 Tristan Kistler, Evert W. Brascamp, Benjamin Basso, Piter Bijma, Florence Phocas
Breeding queens may be mated with drones that are produced by a single drone-producing queen (DPQ), or a group of sister-DPQs, but often only the dam of the DPQ(s) is reported in the pedigree. Furthermore, datasets may include colony phenotypes from DPQs that were open-mated at different locations, and thus to a heterogeneous drone population. Simulation was used to investigate the impact of the mating
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Estimating genetic parameters of digital behavior traits and their relationship with production traits in purebred pigs Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-16 Mary Kate Hollifield, Ching-Yi Chen, Eric Psota, Justin Holl, Daniela Lourenco, Ignacy Misztal
With the introduction of digital phenotyping and high-throughput data, traits that were previously difficult or impossible to measure directly have become easily accessible, offering the opportunity to enhance the efficiency and rate of genetic gain in animal production. It is of interest to assess how behavioral traits are indirectly related to the production traits during the performance testing
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Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-09 Chao Wang, Choulin Chen, Bowen Lei, Shenghua Qin, Yuanyuan Zhang, Kui Li, Song Zhang, Yuwen Liu
Enhancer RNAs (eRNAs) play a crucial role in transcriptional regulation. While significant progress has been made in understanding epigenetic regulation mediated by eRNAs, research on the construction of eRNA-mediated gene regulatory networks (eGRN) and the identification of critical network components that influence complex traits is lacking. Here, employing the pig as a model, we conducted a comprehensive
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Mendelian randomization analysis of 34,497 German Holstein cows to infer causal associations between milk production and health traits Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-08 Helen Schneider, Valentin Haas, Ana-Marija Krizanac, Clemens Falker-Gieske, Johannes Heise, Jens Tetens, Georg Thaller, Jörn Bennewitz
Claw diseases and mastitis represent the most important health issues in dairy cattle with a frequently mentioned connection to milk production. Although many studies have aimed at investigating this connection in more detail by estimating genetic correlations, they do not provide information about causality. An alternative is to carry out Mendelian randomization (MR) studies using genetic variants
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Whole-genome resequencing of Chinese indigenous sheep provides insight into the genetic basis underlying climate adaptation Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-02 Meilin Jin, Huihua Wang, Gang Liu, Jian Lu, Zehu Yuan, Taotao Li, Engming Liu, Zengkui Lu, Lixin Du, Caihong Wei
Chinese indigenous sheep are valuable resources with unique features and characteristics. They are distributed across regions with different climates in mainland China; however, few reports have analyzed the environmental adaptability of sheep based on their genome. We examined the variants and signatures of selection involved in adaptation to extreme humidity, altitude, and temperature conditions
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Microbiome composition as a potential predictor of longevity in rabbits Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-02 Iliyass Biada, Noelia Ibáñez-Escriche, Agustín Blasco, Cristina Casto-Rebollo, Maria A. Santacreu
Longevity and resilience are two fundamental traits for more sustainable livestock production. These traits are closely related, as resilient animals tend to have longer lifespans. An interesting criterion for increasing longevity in rabbit could be based on the information provided by its gut microbiome. The gut microbiome is essential for regulating health and plays crucial roles in the development
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Genetic introgression from commercial European pigs to the indigenous Chinese Lijiang breed and associated changes in phenotypes Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-04-02 Ruifei Yang, Siqi Jin, Suyun Fang, Dawei Yan, Hao Zhang, Jingru Nie, Jinqiao Liu, Minjuan Lv, Bo Zhang, Xinxing Dong
Gene flow is crucial for enhancing economic traits of livestock. In China, breeders have used hybridization strategies for decades to improve livestock performance. Here, we performed whole-genome sequencing of a native Chinese Lijiang pig (LJP) breed. By integrating previously published data, we explored the genetic structure and introgression of genetic components from commercial European pigs (EP)
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Effect of temperature-humidity index on the evolution of trade-offs between fertility and production in dairy cattle Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-03-29 Aurélie Vinet, Sophie Mattalia, Roxane Vallée, Christine Bertrand, Anne Barbat, Julie Promp, Beatriz C. D. Cuyabano, Didier Boichard
In the current context of climate change, livestock production faces many challenges to improve the sustainability of systems. Dairy farming, in particular, must find ways to select animals that will be able to achieve sufficient overall production while maintaining their reproductive ability in environments with increasing temperatures. With future forecasted climate conditions in mind, this study
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A common regulatory haplotype doubles lactoferrin concentration in milk Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-03-28 Thomas J. Lopdell, Alexander J. Trevarton, Janelle Moody, Claire Prowse-Wilkins, Sarah Knowles, Kathryn Tiplady, Amanda J. Chamberlain, Michael E. Goddard, Richard J. Spelman, Klaus Lehnert, Russell G. Snell, Stephen R. Davis, Mathew D. Littlejohn
Bovine lactoferrin (Lf) is an iron absorbing whey protein with antibacterial, antiviral, and antifungal activity. Lactoferrin is economically valuable and has an extremely variable concentration in milk, partly driven by environmental influences such as milking frequency, involution, or mastitis. A significant genetic influence has also been previously observed to regulate lactoferrin content in milk
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Estimation of genetic parameters for the implementation of selective breeding in commercial insect production Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-03-25 Laura Skrubbeltrang Hansen, Stine Frey Laursen, Simon Bahrndorff, Morten Kargo, Jesper Givskov Sørensen, Goutam Sahana, Hanne Marie Nielsen, Torsten Nygaard Kristensen
There is a burgeoning interest in using insects as a sustainable source of food and feed, particularly by capitalising on various waste materials and by-products that are typically considered of low value. Enhancing the commercial production of insects can be achieved through two main approaches: optimising environmental conditions and implementing selective breeding strategies. In order to successfully
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The genetics of resilience and its relationships with egg production traits and antibody traits in chickens Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-03-19 Tom V. L. Berghof, Nicolas Bedere, Katrijn Peeters, Marieke Poppe, Jeroen Visscher, Han A. Mulder
Resilience is the capacity of an animal to be minimally affected by disturbances or to rapidly return to its initial state before exposure to a disturbance. Resilient livestock are desired because of their improved health and increased economic profit. Genetic improvement of resilience may also lead to trade-offs with production traits. Recently, resilience indicators based on longitudinal data have
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Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-03-15 Marina Martínez-Álvaro, Jennifer Mattock, Óscar González-Recio, Alejandro Saborío-Montero, Ziqing Weng, Joana Lima, Carol-Anne Duthie, Richard Dewhurst, Matthew A. Cleveland, Mick Watson, Rainer Roehe
Growth rate is an important component of feed conversion efficiency in cattle and varies across the different stages of the finishing period. The metabolic effect of the rumen microbiome is essential for cattle growth, and investigating the genomic and microbial factors that underlie this temporal variation can help maximize feed conversion efficiency at each growth stage. By analysing longitudinal
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Confidence intervals for validation statistics with data truncation in genomic prediction Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-03-08 Matias Bermann, Andres Legarra, Alejandra Alvarez Munera, Ignacy Misztal, Daniela Lourenco
Validation by data truncation is a common practice in genetic evaluations because of the interest in predicting the genetic merit of a set of young selection candidates. Two of the most used validation methods in genetic evaluations use a single data partition: predictivity or predictive ability (correlation between pre-adjusted phenotypes and estimated breeding values (EBV) divided by the square root
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GWABLUP: genome-wide association assisted best linear unbiased prediction of genetic values Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-03-01 Theo Meuwissen, Leiv Sigbjorn Eikje, Arne B. Gjuvsland
Since the very beginning of genomic selection, researchers investigated methods that improved upon SNP-BLUP (single nucleotide polymorphism best linear unbiased prediction). SNP-BLUP gives equal weight to all SNPs, whereas it is expected that many SNPs are not near causal variants and thus do not have substantial effects. A recent approach to remedy this is to use genome-wide association study (GWAS)
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Searching for homozygous haplotype deficiency in Manech Tête Rousse dairy sheep revealed a nonsense variant in the MMUT gene affecting newborn lamb viability Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-02-29 Maxime Ben Braiek, Carole Moreno-Romieux, Céline André, Jean-Michel Astruc, Philippe Bardou, Arnaud Bordes, Frédéric Debat, Francis Fidelle, Itsasne Granado-Tajada, Chris Hozé, Florence Plisson-Petit, François Rivemale, Julien Sarry, Némuel Tadi, Florent Woloszyn, Stéphane Fabre
Recessive deleterious variants are known to segregate in livestock populations, as in humans, and some may be lethal in the homozygous state. We used phased 50 k single nucleotide polymorphism (SNP) genotypes and pedigree data to scan the genome of 6845 Manech Tête Rousse dairy sheep to search for deficiency in homozygous haplotypes (DHH). Five Manech Tête Rousse deficient homozygous haplotypes (MTRDHH1
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Expected values for the accuracy of predicted breeding values accounting for genetic differences between reference and target populations Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-02-29 Beatriz C. D. Cuyabano, Didier Boichard, Cedric Gondro
Genetic merit, or breeding values as referred to in livestock and crop breeding programs, is one of the keys to the successful selection of animals in commercial farming systems. The developments in statistical methods during the twentieth century and single nucleotide polymorphism (SNP) chip technologies in the twenty-first century have revolutionized agricultural production, by allowing highly accurate
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Correction: Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-02-26 Jesús Valdés-Hernández, Josep M. Folch, Daniel Crespo-Piazuelo, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló, Armand Sánchez, Yuliaxis Ramayo-Caldas
Correction: Genetics Selection Evolution (2024) 56:12https://doi.org/10.1186/s12711-024-00882-x After publication of original article [1], we noticed that two errors were introduced during production: (1) In the Bioinformatic and statistical analyses section, the corresponding information on the X and Y matrices has been removed in three places: The part “A regularized canonical correlation analysis
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Genome-wide detection of positive and balancing signatures of selection shared by four domesticated rainbow trout populations (Oncorhynchus mykiss) Genet. Sel. Evol. (IF 3.6) Pub Date : 2024-02-22 Katy Paul, Gwendal Restoux, Florence Phocas
Evolutionary processes leave footprints along the genome over time. Highly homozygous regions may correspond to positive selection of favorable alleles, while maintenance of heterozygous regions may be due to balancing selection phenomena. We analyzed data from 176 fish from four disconnected domestic rainbow trout populations that were genotyped using a high-density Axiom Trout genotyping 665K single