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Urgessa OE, Woldesemayat AA. OMICs approaches and technologies for understanding low-high feed efficiency traits in chicken: implication to breeding. Anim Biotechnol 2023; 34:4147-4166. [PMID: 36927292 DOI: 10.1080/10495398.2023.2187404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
In poultry production, there has been a trend of continuous increase in cost of feed ingredients which represents the major proportion of the production costs. Feed costs can be reduced by improving feed efficiency traits which increase the possibility of using various indigestible feed sources and decrease the environmental impact of the enhanced poultry production. Therefore, feed efficiency has been used as one of the most important economic traits of selection in the breeding program of chickens. Recently, many OMICs experimental studies have been designed to characterize biological differences between the high and low feed efficiency chicken phenotypes. Biological complexity cannot be fully captured by main individual OMICs such as genomics, transcriptomics, proteomics and metabolomics. Therefore, researchers have combined multiple assays from the same set of samples to create multi-OMICs datasets. OMICs findings are crucial in improving existing approaches to poultry breeding. The current review aimed to highlight the components of feed efficiency and general OMICs approaches and technologies. Besides, individual and multi-OMICs based understanding of chicken feed efficiency traits and the application of the acquired knowledge in the chicken breeding program were addressed.
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Affiliation(s)
- Olyad Erba Urgessa
- School of Biological Sciences and Biotechnology, College of Natural and Computational Sciences, Haramaya University, Dire Dawa, Ethiopia
- Department of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, Adama, Ethiopia
| | - Adugna Abdi Woldesemayat
- College of Biological and Chemical Engineering, Department of Biotechnology, Genomics and Bioinformatics Research Unit, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
- College of Agriculture & Environmental Sciences, University of South Africa, Florida Science Campus, 28 Pioneer Ave, Florida Park, Roodepoort, South Africa
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Venturini GC, Stafuzza NB, Cardoso DF, Baldi F, Ledur MC, Peixoto JO, El Faro L, Munari DP. Association between ACTA1 candidate gene and performance, organs and carcass traits in broilers. Poult Sci 2015; 94:2863-9. [PMID: 26476088 DOI: 10.3382/ps/pev285] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 08/10/2015] [Indexed: 11/20/2022] Open
Abstract
This study investigates the genetic association of the SNP present in the ACTA1 gene with performance traits, organs and carcass of broilers to help marker-assisted selection of a paternal broiler line (TT) from EMBRAPA Swine and Poultry, Brazil. Genetic and phenotypic data of 1,400 broilers for 68 traits related to body performance, organ weights, weight of carcass parts, and yields as a percentage of organs and carcass parts were used. The maximum likelihood method, considering 4 analytical models, was used to analyze the genetic association between the SNP and these important economic traits. The association analysis was performed using a mixed animal model including the random effect of the animal (polygenic), and the fixed effects of sex (2 levels), hatch (5 levels) and SNP (3 levels), besides the random error. The traits significantly associated (P<0.05) with the SNP were analyzed, along with body weight at 42 days of age (BW42), by the restricted maximum likelihood method using the multi-trait animal model to estimate genetic parameters. The analysis included the residual and additive genetic random effects and the sex-hatch fixed effect. The additive effects of the SNP were associated with breast meat (BMY), liver yield (LIVY), body weight at 35 days of age (BW35); drumstick skin (DSW), drumstick (DW) and breast (BW) weights. The heritability estimates for these traits, in addition to BW42, ranged from 0.24±0.06 to 0.45±0.08 for LIVY and BW35, respectively. The genetic correlation ranged from 0.02±0.18 for LIVY and BMY to 0.97±0.01 for BW35 and BW42. Based on the results of this study, it can be concluded that ACTA1 gene is associated with performance traits BW35, LIV and BMY, DW, BW and DW adjusted for body weight at 42 days of age. Therefore, the ACTA1 gene is an important molecular marker that could be used together with others already described to increase the economically important traits in broilers.
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Affiliation(s)
- G C Venturini
- UNESP São Paulo State University, College of Agriculture and Veterinary Sciences, 14884-900, Jaboticabal (SP), Brazil
| | - N B Stafuzza
- UNESP São Paulo State University, College of Agriculture and Veterinary Sciences, 14884-900, Jaboticabal (SP), Brazil
| | - D F Cardoso
- UNESP São Paulo State University, College of Agriculture and Veterinary Sciences, 14884-900, Jaboticabal (SP), Brazil
| | - F Baldi
- UNESP São Paulo State University, College of Agriculture and Veterinary Sciences, 14884-900, Jaboticabal (SP), Brazil
| | - M C Ledur
- Embrapa Suínos e Aves, 89700-000, Concórdia (SC), Brazil
| | - J O Peixoto
- Embrapa Suínos e Aves, 89700-000, Concórdia (SC), Brazil
| | - L El Faro
- Agencia Paulista de Tecnologia dos Agronegócios (APTA) Centro Leste/Secretaria de Agricultura e Abastecimento (SAA), 14001-970, Ribeirão Preto (SP), Brazil
| | - D P Munari
- UNESP São Paulo State University, College of Agriculture and Veterinary Sciences, 14884-900, Jaboticabal (SP), Brazil
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Zhang YY, Chen GH, Xu Q, Zhang HB, Duan XJ, Zhao WM, Sun GB. Polymorphism in Intron-1 of ApoVLDL-II Gene and its Association with Production Traits and Biochemical Levels in White Muscovy ( Cairina moschata). JOURNAL OF APPLIED ANIMAL RESEARCH 2010. [DOI: 10.1080/09712119.2010.9707148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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Jangarelli M, Euclydes R, Carneiro A, Cecon P, Cruz C. Seleção, acasalamento e genotipagem seletiva e outras estratégias de amostragem na detecção de QTL. ARQ BRAS MED VET ZOO 2010. [DOI: 10.1590/s0102-09352010000400028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Foram simuladas diferentes estratégias de seleção para estimar o desempenho fenotípico e a endogamia média na seleção assistida por marcadores, em características quantitativas com valores de herdabilidade de 0,10; 0,40 e 0,70. O sistema de simulação genética (Genesys) foi utilizado para a simulação de três genomas (cada qual constituído de uma única característica cuja distinção estava no valor da herdabilidade), e das populações base e inicial. Cada população inicial foi submetida à seleção assistida por marcadores por 20 gerações consecutivas. Avaliaram-se estratégias de acasalamento entre os genitores selecionados, em diferentes intensidades de seleção (tamanhos populacionais), por meio do acasalamento seletivo entre os melhores e os piores, acasalamento apenas entre os melhores e/ou entre os piores e acasalamento aleatório. Em todos os cenários combinando herdabilidade e intensidade, o acasalamento estratégico utilizando a metodologia da genotipagem seletiva foi superior aos demais, tornando-se mais eficaz na detecção de QTL e, consequentemente, no incremento do valor fenotípico e na minimização das médias endogâmicas ao longo das gerações. Ao utilizar a estratégia seletiva de amostragem, menor tamanho populacional é requerido para otimizar a detecção de QTL à medida que o valor da herdabilidade da característica aumenta.
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Zhou Y, Liu Y, Jiang X, Du H, Li X, Zhu Q. Polymorphism of chicken myocyte-specific enhancer-binding factor 2A gene and its association with chicken carcass traits. Mol Biol Rep 2010; 37:587-94. [PMID: 19774488 DOI: 10.1007/s11033-009-9838-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2009] [Accepted: 09/15/2009] [Indexed: 01/04/2023]
Abstract
Myocyte-specific enhancer-binding factor 2A (MEF2A) gene is a member of the myocyte-specific enhancer-binding factor 2 (MEF2) protein family which involved in vertebrate skeletal muscle development and differentiation. The aim of the current study is to investigate the potential associations between MEF2A gene SNPs (single nucleotide polymorphisms) and the carcass traits in 471 chicken samples from four populations. Three new SNPs (T46023C, A72626G, and T89232G) were detected in the chicken MEF2A gene. The T46023C genotypes were associated with live body weight (BW), carcass weight (CW), eviscerated weight, semi-eviscerated weight (SEW), and leg muscle weight (LMW) (P < 0.05); the A72626G genotypes were associated with BW, CW, LMW (P < 0.01) and breast muscle weight (BMW), leg muscle percentage (LMP) (P < 0.05); whereas the T89232G genotypes were associated with carcass percentage (CP) and semi-eviscerated percentage (SEP) (P < 0.05). The haplotypes constructed on the three SNPs were associated with BW, CW, LMW (P < 0.01), SEW, BMW, CP (P < 0.05). Significantly and suggestive dominant effects of diplotype H1H2 were observed for BW, CW, SEW, BMW and CP, whereas diplotype H5H5 had a negative effect on BW, CW, SEW, BMW and LMW. Our results suggest that the MEF2A gene may be a potential marker affecting the muscle trait of chickens.
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Affiliation(s)
- Yan Zhou
- College of Animal Science and Technology, Sichuan Agriculture University, Ya'an, Sichuan, China
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Zerehdaran S, Hassani S, Gharebash AM, Khanahmadi A, Farivar F. A breeding program for balanced improvement of performance and health in broilers. Pak J Biol Sci 2009; 12:79-82. [PMID: 19579923 DOI: 10.3923/pjbs.2009.79.82] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To illustrate the consequences of including health related traits in a sustainable broiler breeding program, two scenarios were simulated using the SelAction program. In the first scenario (economic), selection was only for production traits and Gait Score (GS) and Heart Failure (HF) were ignored in the breeding goal. In the second scenario (sustainable), GS and HF as well as production traits were included in the breeding goal. Economic values of GS and HF were determined using desired-gain approach to obtain a zero response in GS and HF. The results indicate that, despite improved responses for production traits in the economic scenario, there was an unfavorable reduction in GS of about 0.13 points and an unfavorable increase in HF of about 0.025 points. In the sustainable scenario, the deterioration of GS and HF was stopped. In the economic scenario with zero economic values for GS and HF, the total monetary response was higher (0.104 euros) than sustainable scenario (0.097 euros). Due to negative correlations between health and production traits, increased emphasis on health traits in the sustainable scenario resulted in a reduction in the total monetary response. In conclusion to stop the increased incidence of diseases, health traits should be included in the breeding goal and assigned appropriate values.
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Affiliation(s)
- S Zerehdaran
- Department of Animal Science, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran
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Musa HH, Cheng JH, Bao WB, Li BC, Mekki DM, Chen GH. Genetic differentiation and phylogeny relationships of functional ApoVLDL-II gene in red jungle fowl and domestic chicken populations. Pak J Biol Sci 2007; 10:2454-2459. [PMID: 19070113 DOI: 10.3923/pjbs.2007.2454.2459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
A total of 243 individuals from Red Jungle Fowl (Gallus gallus spadiceus), Rugao, Anka, Wenchang and Silikes chicken populations were used for polymorphism analysis in functional apoVLDL-II gene by Restriction fragment length polymorphism and single strand conformation polymorphism markers. The results show that Anka population has highest gene diversity and Shannon information index, while Red jungle fowl shows highest effective number of allele. In addition, the higher coefficient of genetic differentiation (Gst) across all loci in apoVLDL-II was indicating that high variation is proportioned among populations. As expected total gene diversity (Ht) has upper estimate compared with within population genetic diversity (Hs) across all loci. The mean Gst value across all loci was (0.194) indicating about 19.4% of total genetic variation could be explained by breeds differences, while the remaining 80.6% was accounted for differences among individuals. The average apoVLDL-II gene flow across all loci in five chicken populations was 1.189. The estimates of genetic identity and distance confirm that these genes are significantly different between genetically fat and lean population, because fat type breed Anka shows highest distance with the other Silikes and Rugao whish are genetically lean. In addition, Wenchang and Red jungle fowl were found more closely and genetically related than the other breeds with 49.4% bootstrapping percentages, then they were related to Silikes by 100% bootstrapping percentages followed by Rugao and finally all of them are related with exotic fat breed Anka.
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Affiliation(s)
- Hassan H Musa
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
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Zhou H, Deeb N, Evock-Clover CM, Mitchell AD, Ashwell CM, Lamont SJ. Genome-wide linkage analysis to identify chromosomal regions affecting phenotypic traits in the chicken. III. Skeletal integrity. Poult Sci 2007; 86:255-66. [PMID: 17234838 DOI: 10.1093/ps/86.2.255] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Two unique chicken F(2) populations generated from a broiler breeder male line and 2 genetically distinct inbred (>99%) chicken lines (Leghorn and Fayoumi) were used for whole genome QTL analysis. Twelve phenotypic skeletal integrity traits (6 absolute and 6 relative traits) were measured or calculated, including bone mineral content, bone mineral density, tibia length, shank length, shank weight, and shank length:shank weight. All traits were also expressed as a percentage of BW at 8 wk of age. Birds were genotyped for 269 microsatellite markers across the entire genome. The QTL affecting bone traits in chickens were detected by the QTL express program. Significance levels were obtained using the permutation test. For the 12 traits, a total of 56 significant QTL were detected at the 5% chromosome-wise significance level, of which 14 and 10 were significant at the 5% genome-wise level for the broiler-Leghorn cross and broiler-Fayoumi cross, respectively. Phenotypic variation for each trait explained by all detected QTL across the genome ranged from 12.0 to 35.6% in the broiler-Leghorn cross and 2.9 to 31.3% in the broiler-Fayoumi cross. Different QTL profiles identified between the 2 related F(2) crosses for most traits suggested that genetic background is an important factor for QTL analysis. Study of associations of biological candidate genes with skeletal integrity traits in chickens will reveal new knowledge of understanding biological process of skeletal homeostasis. The results of the current study have identified markers for bone strength traits, which may be used to genetically improve skeletal integrity in chickens by MAS, and to identify the causal genes for these traits.
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Affiliation(s)
- H Zhou
- Department of Animal Science, Iowa State University, Ames, Iowa 50011, USA
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