The Duck 1000 Genomes Project: Achievements and perspectives DOI Creative Commons
Wenlei Fan,

S.S. Hou,

Zhengkui Zhou

et al.

Animal Research and One Health, Journal Year: 2024, Volume and Issue: 2(4), P. 366 - 376

Published: Oct. 16, 2024

Abstract The duck ( Anas platyrhynchos ) is not only a vital farm animal but also an excellent model for genetic dissection of economic traits. integration multiomics data provides powerful approach to elucidate the basis domestication and phenotype variation. Since its inception in 2014, Duck 1000 Genomes Project has aimed uncover foundation key traits ducks by combining including genomic, transcriptomic, metabolomic from various natural segregating populations. This paper summarizes strategies achievements Project, highlighting reference genome assembly, evolution analysis, identification genes causative mutations responsible ducks. We discuss perspectives potential challenges functional genomic studies that could further accelerate molecular breeding.

Language: Английский

Genome-wide association study revealed candidate genes associated with egg-laying time traits in layer chicken DOI Creative Commons
Yifan Guo, Yuqi Chen,

Hao Guo

et al.

Poultry Science, Journal Year: 2025, Volume and Issue: 104(7), P. 105255 - 105255

Published: May 3, 2025

In modern intensive caged laying hen production, variations in egg-laying time (ELT) among layers often increase the workload for egg collection, thereby raising costs of labor or power and reducing overall efficiency. For management purpose, early synchronized ELT is also advantageous, particularly to large-scale layer farm. However, underlying genetic mechanisms remain unclear. this study, through development video artificial intelligence-based software, records during peak period (27-32 weeks) from 507 layers, their earlier performance (21-32 were collected. Via whole genome sequencing data all individuals, estimated heritabilities traditional production traits ranged 0.23 0.36, consistent with previous reports. The heritability average (AELT) was as 0.46. Furthermore, individuals AELT tended exhibit superior performance. Genome-wide association study revealed three SNPs associated traits, located at 170,867,650 bp on chromosome 1, 5,548,087 5,817,488 9. Across region 5.4 7.0 Mb 9, mutations identified be strongly linked two AELT-associated SNPs. Genes may responsible differences hens. These results indicate that has potential integrated into system layers. If included a breeding objective future, its reliability needs validated larger populations over longer periods.

Language: Английский

Citations

1

Functional Analysis of Key Members Affecting Egg Production in the Transglutaminase Gene Family in Chickens DOI Creative Commons

Botong Chen,

Shuohan Li,

Xi Cheng

et al.

Poultry Science, Journal Year: 2025, Volume and Issue: 104(2), P. 104794 - 104794

Published: Jan. 9, 2025

The transglutaminase (TGMs) family plays a crucial role in regulating mammalian reproduction, yet its impact on poultry reproductive traits has not been extensively studied. In this study, we identified eight members of the TGMs chickens and examined contributions genetic variations coagulation factor XIII A chain (F13A1), 4 (TGM4), LOC101749664 to selective breeding commercial layers through variation response pattern analysis. Transcriptome data from various tissues high- low-egg-yielding Gushi revealed significant positive correlations between mRNA expression levels TGM4 F13A1 genes egg production (P < 0.05). Genotype-phenotype correlation analysis showed that 26 single nucleotide polymorphisms (SNPs) within genomic sequences exhibited associations with across different laying periods. Additionally, spatiotemporal patterns ovarian follicles low-laying chicken breeds determined by RT-qPCR highlighted pivotal follicle development. Functionally, gain-of-function assay demonstrated promoted granulosa cell proliferation, inhibited apoptosis, enhanced progesterone synthesis. conclusion, is first study elucidate gene chickens, offering new insights for improved egg-laying traits.

Language: Английский

Citations

0

Dynamic m6A Modification Landscape During the Egg Laying Process of Chickens DOI Open Access
Yushi Zhang, Yida Chen,

Haigang Ji

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(4), P. 1677 - 1677

Published: Feb. 16, 2025

RNA N6-methyladenosine (m6A) is one of the most common and widespread reversible epigenetic modifications mRNAs, m6A has been shown to play a positive role in regulating follicular development. However, methylation chicken ovaries egg production not fully studied. In this study, we comprehensively analyzed transcriptome profiles high- low-yield Gushi chickens at 43 weeks age (43 w). We found that modification differed between two groups. The peak was positively correlated with gene expression level, indicating may an important production. total, 9008 15,415 peaks were separately identified groups, including 2241 differential peaks. addition, seven candidate genes related laying significantly enriched KEGG pathway ovary development identified. summary, constructed first map ovarian tissue chickens, differences w originate from effect on egg-related genes. These findings provide new insights into regulatory mechanisms during chickens.

Language: Английский

Citations

0

Exploring the functional variations of key candidate genes affecting egg production by hypothalamic-pituitary-ovarian axis in chickens DOI Creative Commons
Dandan Wang,

Yiqian Zhu,

Jiajia Dong

et al.

Poultry Science, Journal Year: 2025, Volume and Issue: unknown, P. 105027 - 105027

Published: March 1, 2025

Potential genetic variants associated with chicken egg production traits have been extensively identified, most of which are located in the non-coding regions genome. However, functional really drive egg-laying phenotype change remain elusive. In present study, by integrating previously screened related candidate variants, transcriptome data derived from 16 high- and low-yield Gushi chickens, epigenomic analyses, 22 potential (PFVs) were systematically identified. These PFVs potentially differences phenotypes affecting expression 10 key genes hypothalamus (ZNF804B, DPP10, NEO1 GABRG1), pituitary (DPP10 GNG7), ovary (PHIP, OSTN, GADD45B, NFXL1 ADAMTS17). Subsequently, regulatory activity function one PFV, chr3:79510218A>T, third intron pleckstrin homology domain interacting protein gene (PHIP), investigated ovarian granulosa cells. Association analysis confirmed significant association chr3:79510218A>T number 21 to 43 week age (P = 0.0022) Guangxi Yao 0.0388), as well PHIP levels 0.0010). Functional indicated that T allele enhanced transcriptional upregulated vitro binding transcription factor forkhead box I1 (FOXI1). Furthermore, knockdown led inhibition cell proliferation a reduction synthesis secretion progesterone (PROG) hormones. Collectively, this study unveil illustrate regulation mechanism, will help accelerate molecular design breeding process production.

Language: Английский

Citations

0

Dietary Puerariae Lobatae Radix polysaccharides improve ovarian function and reproductive efficiency in laying hens with fatty liver hemorrhagic syndrome DOI Creative Commons
Anqi Wang, Hui Ping Ren, Yanyan Zhang

et al.

Poultry Science, Journal Year: 2025, Volume and Issue: unknown, P. 105062 - 105062

Published: March 1, 2025

Fatty liver hemorrhagic syndrome (FLHS) is a common nutritional and metabolic disease in laying hens, leading to rapid decline egg production. This study aims evaluate the antioxidant effects of dietary supplementation with Pueraria Lobatae Radix polysaccharide (PLRP) on hens FLHS induced by high-energy low-protein (HELP) diet. A total 72 thirty-seven-wk-old Hy-Line Brown were divided into 4 groups: basal diet (CON), HELP (HELP), + 100 mg/kg PLRP (HELP-Low), 300 (HELP-High), 6 replicates 3 each. After weeks diet, was added HELP-Low HELP-High groups for 8 weeks. The results demonstrated that significantly improved rate compared group, exhibiting respective increases 23.81% 28.57% (P < 0.01). also promoted follicular development, increasing number stratified, primary, secondary follicles improving ovarian index. Biochemical analysis revealed enhanced activity, increased levels T-AOC, T-SOD, GSH-Px reduced MDA ovaries PLRP-treated 0.05). At molecular level, upregulated mRNA expression ER-α, ER-β, MTTP, APOB, APOVLDL-II, VTG-II liver, as well VLDLR, LHR, FSHR ovaries, facilitating yolk precursor biosynthesis development It indicated mitigates oxidative stress enhances synthesis, thereby production FLHS-affected hens. shows promise an effective feed additive preventing alleviating Future studies will investigate regulatory gut microbiota composition its potential interactions

Language: Английский

Citations

0

Genetic traceability, conservation effectiveness, and selection signatures analysis based on ancestral information: a case study of Beijing-You chicken DOI Creative Commons
Yuan Kong, Zilong Wen, Xinyu Cai

et al.

BMC Genomics, Journal Year: 2025, Volume and Issue: 26(1)

Published: April 24, 2025

Genetic resources are essential components of biodiversity. As national strategy, the conservation genetic is crucial not only for biodiversity but also sustainable agriculture and cultural heritage. However, exact origin most local breeds remains unclear at genomic level. The efforts becoming more challenging as currently experiencing drift admixture, which may be further complicated by historical hybridizations. A typical example Beijing-You chicken, a breed renowned its excellent meat flavor unique appearance. With relatively recent history (~ 300 years), it displays mixed phenotypes have resulted from with yet to determined. Through comprehensive similarity analysis, we identified 12 donor chicken quantified their contributions, highest ancestry proportion coming Henan chickens. structure analyses suggest hybridization in formation this breed. Furthermore, innovatively used new material evaluation selection signature detection, demonstrating that over past decade been effective. Analysis signatures revealed genes regions associated polydactyly, egg production, intramuscular fat, spermatogenesis. By integrating various analytical strategies, developed novel framework traceability evaluation. Our results highlight effectiveness assessment offer valuable insights conservation, improvement, utilization breeds.

Language: Английский

Citations

0

Genome-wide association studies on longitudinal phenotypes reveal genetic mechanisms of egg production in chickens DOI Creative Commons
Lizhi Tan, Ning Xu, Zexuan Liu

et al.

Poultry Science, Journal Year: 2025, Volume and Issue: 104(8), P. 105280 - 105280

Published: May 9, 2025

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

Comparative Genomic Analysis Across Multiple Species to Identify Candidate Genes Associated with Important Traits in Chickens DOI Open Access
Fuyang Zhang, Hongsheng Chen, Cheng Chang

et al.

Genes, Journal Year: 2025, Volume and Issue: 16(6), P. 627 - 627

Published: May 24, 2025

Background: As one of the most important poultry species worldwide, chickens provide substantial amounts meat, eggs, and other products for human consumption. With continuous improvements in living standards, consumer demand high-quality animal is increasing, making it essential to understand genetic basis key traits such as egg production, meat quality, disease resistance targeted improvement. Methods: In this study, a number candidate genes associated with were screened by various comparative genomics analysis methods. To further clarify relationship between these chickens, they functionally annotated through KOG, GO, KEGG databases. Results: These are mainly concentrated functional categories transcription signal transduction mechanisms involved biological processes cyclic nucleotide biosynthesis intracellular signaling, which involve signaling pathways ECM–receptor interactions calcium signaling. Conclusions: Based on annotation results from databases, search related literature reports, following obtained: TBX22, LCORL, GH chicken growth traits; A-FABP, H-FABP, PRKAB2 quality; IGF-1, SLC25A29, WDR25 reproductive C1QBP, VAV2 IL12B traits. Overall, findings study novel insights laying foundation future research breeding strategies targeting economic

Language: Английский

Citations

0

Whole-genome sequencing revealed genetic structure, patterns of selection and molecular identity card in “Yufen 1” D line chickens DOI Creative Commons
Cong Liu, Jianing Liu,

Hai-Shan Guo

et al.

Poultry Science, Journal Year: 2025, Volume and Issue: unknown, P. 105377 - 105377

Published: May 1, 2025

Language: Английский

Citations

0