Genomic and Gut Microbiome Evaluations of Growth and Feed Efficiency Traits in Broilers DOI Creative Commons
Xia Xiong, Chunlin Yu, Mohan Qiu

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(24), P. 3615 - 3615

Published: Dec. 15, 2024

In this study, we combined genomic and gut microbiome data to evaluate 13 economically important growth feed efficiency traits in 407 Dahen broilers, including body weight (BW) at four, six, nine, ten weeks of age (BW4, BW6, BW9, BW10), as well the average daily gain (ADG6, ADG9, ADG10), conversion ratio (FCR6, FCR9, FCR10), residual intake (RFI6, RFI9, RFI10) for three growing ages. The highest ADG lowest FCR were observed nine six age, respectively. We obtained 47,872 high-quality single-nucleotide polymorphisms (SNPs) by sequencing genomes 702 amplicon sequence variants (ASVs) 16S rRNA gene, both which used analyses linear mixed models. heritability estimates (± standard error, SE) ranged from 0.103 ± 0.072 0.156 0.079 BW, 0.154 0.074 0.276 ADG, 0.311 0.076 0.454 FCR, 0.413 0.077 0.609 RFI traits. consistently moderate low negative genetic correlations between BW (r = −0.562 −0.038), whereas strong positive 0.564 0.979). For traits, found measures contrast contribution, did not detect a microbial contribution all these estimated microbiabilities confidently deviate zero. systematically evaluated contributions host genetics microbes several results show that only had significant effects on phenotypic variations flock. parameters based use microbiota data, may facilitate implementation efficient breeding schemes broilers.

Language: Английский

Application of GWAS and mGWAS in Livestock and Poultry Breeding DOI Creative Commons
J. R. Ren, Zhendong Gao, Ying Lu

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(16), P. 2382 - 2382

Published: Aug. 16, 2024

In recent years, genome-wide association studies (GWAS) and metabolome (mGWAS) have emerged as crucial methods for investigating complex traits in animals plants. These played pivotal roles research on livestock poultry breeding, facilitating a deeper understanding of genetic diversity, the relationship between genes, bases poultry. This article provides review applications GWAS mGWAS animal aiming to offer reference inspiration relevant researchers, promote innovation improvement breeding methods, contribute sustainable development husbandry.

Language: Английский

Citations

5
Insights into the gut microbiota characteristics between the organic and traditional feeding chickens based on amplicon and metagenomic sequencing DOI Creative Commons
Wen‐Zhou Zhang, Jian Xiao,

Siqi Ding

et al.

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 23, 2025

Intestinal microorganisms play a crucial role in chicken health and production performance, especially the research of traditional organic feeding methods. The intestinal contents feed chickens were analyzed by 16S rRNA gene metagenome technology. results showed that microbial diversity was significantly higher than chickens, key microorganisms, such as Enterococcus , more abundant chickens. functional analysis revealed significant difference metabolic function between them. present study provides new insights into gut microbiota characteristics based on amplicon metagenomic sequencing. Our are helpful to fully illustrate effects different methods can offer scientific basis for management.

Language: Английский

Citations

0
Functional Polymorphisms in the Neuropeptide Y (NPY) Gene Associated with Egg Production in Thai Native, Black-Bone, and Commercial Laying Hens Using SNP Markers DOI Creative Commons

Doungnapa Promket,

Jennarong Kammongkun,

Jiranan Insee

et al.

Animals, Journal Year: 2025, Volume and Issue: 15(5), P. 744 - 744

Published: March 5, 2025

This study aimed to identify single nucleotide polymorphism (SNP) loci within the coding sequence of neuropeptide Y (NPY) gene and evaluate their association with egg production traits in Thai native chickens. The goal was enhance productivity through selective breeding. A total 117 chickens, including three breeds commercial laying hens, were analyzed. phenotypic measured included age at first (AFEP), weight (FEW), 9 months (EW_9M) 12 (EW_12M) period, number eggs (NE_9M) (NE_12M) per month (EperM), mass (EMs). NPY sequenced examine between these specific genotypes. results showed that hens (LC) significantly outperformed overall production. Among breeds, Pradu Hang Dum (PH) demonstrated earliest highest cumulative Genetic diversity analysis revealed moderate heterozygosity levels (PIC = 0.22 0.50, He 0.26 0.50). Specific SNP (SNP1, SNP2, SNP3, SNP4, SNP5, SNP6) found be associated key traits, such as AFEP, FEW, EW_9M, EW_12M, NE_9M, NE_12M, EperM, EMs. These findings highlight potential using genetic markers for improving By incorporating marker-assisted selection into breeding programs, this research supports development more efficient sustainable poultry farming practices, particularly local breeds. also underscores importance preserving while enhancing productivity, ensuring long-term sustainability chicken populations.

Language: Английский

Citations

0
Genome-Wide Association Studies and Candidate Genes for Egg Production Traits in Layers from an F2 Crossbred Population Produced Using Two Divergently Selected Chicken Breeds, Russian White and Cornish White DOI Open Access
Н. А. Волкова, Michael N Romanov, Alan Yu. Dzhagaev

et al.

Genes, Journal Year: 2025, Volume and Issue: 16(5), P. 583 - 583

Published: May 15, 2025

Background/Objectives: Finding single nucleotide polymorphisms (SNPs) and candidate genes that influence the expression of key traits is essential for genomic selection helps improve efficiency poultry production. Here, we aimed to conduct a genome-wide association study (GWAS) egg production in an F2 resource population chickens (Gallus gallus). Methods: The examined was produced by crossing two divergently selected breeds with contrasting phenotypes performance traits, namely Russian White (of higher production) Cornish lower production). Sampled birds (n = 142) were genotyped using Illumina Chicken 60K SNP iSelect BeadChip. Results: In course GWAS analysis, able clarify significant associations phenotypic interest economic value 47,432 SNPs after genotype dataset filtered. At threshold p < 1.06 × 10−6, found 23 prioritized (PCGs) associated weight at age 42–52 weeks (FGF14, GCK), duration laying (CNTN4), cycle (SAMD12) interval (PHF5A, AKR1B1, CALD1, ATP7B, PIK3R4, PTK2, PRKCE, FAT1, PCM1, CC2D2A, BMS1, SEMA6D, CDH13, SLIT3, ATP10B, ISCU, LRRC75A, LETM2, ANKRD24). Moreover, co-localized within FGF14 gene. Conclusions: Based on our findings, revealed can be used as genetic markers other characteristics attain enhancement further selection.

Language: Английский

Citations

0
Genetic Diversity and Selection Signal Analysis of Hu Sheep Based on SNP50K BeadChip DOI Creative Commons
Keyan Ma, Juanjuan Song, Dengpan Li

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(19), P. 2784 - 2784

Published: Sept. 26, 2024

This research is designed to examine the genetic diversity and kinship among Hu sheep, as well discover genes associated with crucial economic traits. A selection of 50 unrelated adult male sheep underwent genotyping SNP50K BeadChip. Seven indicators were assessed based on high-quality SNP data: effective population size (Ne), polymorphic information content (PIC), marker ratio (PN), expected heterozygosity (He), observed (Ho), number alleles, minor allele frequency (MAF). Plink software was employed compute IBS distance matrix detect runs homozygosity (ROHs), while G principal component analysis performed using GCTA software. Selective sweep carried out ROH, Pi, Tajima’s D methodologies. study identified a total 64,734 SNPs, which 56,522 SNPs remained for downstream after quality control. The displayed relatively high diversity. ultimately grouped into 12 distinct families, families 6, 8, 10 having highest numbers individuals, each consisting 6 sheep. Furthermore, 294 ROHs detected, majority lengths between 1 5 Mb, inbreeding coefficient FROH 0.01. In addition, 41, 440, 994 candidate by methods, respectively, 3 overlapping (BMPR1B, KCNIP4, FAM13A). These results offer valuable insights future breeding, assessment, management.

Language: Английский

Citations

2
Unveiling Genetic Potential for Equine Meat Production: A Bioinformatics Approach DOI Creative Commons
Martín Simón, Ana Kaić, Klemen Potočnik

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(16), P. 2441 - 2441

Published: Aug. 22, 2024

In view of the predicted significant increase in global meat production, alternative sources such as horsemeat are becoming increasingly important due to their lower environmental impact and high nutritional value. This study aimed identify SNP markers on GeneSeek

Language: Английский

Citations

1
Genome-wide Association Analysis of Key Genes for Feed Efficiency in Qingyuan Partridge chickens DOI Creative Commons
Fei Ye,

Jie Huang,

Jiankang Gan

et al.

Poultry Science, Journal Year: 2024, Volume and Issue: unknown, P. 104632 - 104632

Published: Dec. 1, 2024

Language: Английский

Citations

1
Genomic and Gut Microbiome Evaluations of Growth and Feed Efficiency Traits in Broilers DOI Creative Commons
Xia Xiong, Chunlin Yu, Mohan Qiu

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(24), P. 3615 - 3615

Published: Dec. 15, 2024

In this study, we combined genomic and gut microbiome data to evaluate 13 economically important growth feed efficiency traits in 407 Dahen broilers, including body weight (BW) at four, six, nine, ten weeks of age (BW4, BW6, BW9, BW10), as well the average daily gain (ADG6, ADG9, ADG10), conversion ratio (FCR6, FCR9, FCR10), residual intake (RFI6, RFI9, RFI10) for three growing ages. The highest ADG lowest FCR were observed nine six age, respectively. We obtained 47,872 high-quality single-nucleotide polymorphisms (SNPs) by sequencing genomes 702 amplicon sequence variants (ASVs) 16S rRNA gene, both which used analyses linear mixed models. heritability estimates (± standard error, SE) ranged from 0.103 ± 0.072 0.156 0.079 BW, 0.154 0.074 0.276 ADG, 0.311 0.076 0.454 FCR, 0.413 0.077 0.609 RFI traits. consistently moderate low negative genetic correlations between BW (r = −0.562 −0.038), whereas strong positive 0.564 0.979). For traits, found measures contrast contribution, did not detect a microbial contribution all these estimated microbiabilities confidently deviate zero. systematically evaluated contributions host genetics microbes several results show that only had significant effects on phenotypic variations flock. parameters based use microbiota data, may facilitate implementation efficient breeding schemes broilers.

Language: Английский

Citations

0