Marker Density and Models to Improve the Accuracy of Genomic Selection for Growth and Slaughter Traits in Meat Rabbits.

The selection and breeding of good meat rabbit breeds are fundamental to their industrial development, and genomic selection (GS) can employ genomic information to make up for the shortcomings of traditional phenotype-based breeding methods. For the practical implementation of GS in meat rabbit breeding, it is necessary to assess different marker densities and GS models. Here, we obtained low-coverage whole-genome sequencing (lcWGS) data from 1515 meat rabbits (including parent herd and half-sibling offspring).

Resequencing Analyses Revealed Genetic Diversity and Selection Signatures during Rabbit Breeding and Improvement.

Domestication has shaped the diverse characteristics of rabbits, including coat color, fur structure, body size, and various physiological traits. Utilizing whole-genome resequencing (DNBSEQ-T7), we analyzed the genetic diversity, population structure, and genomic selection across 180 rabbits from 17 distinct breeds to uncover the genetic basis of these traits. We conducted whole-genome sequencing on 17 rabbit breeds, identifying 17,430,184 high-quality SNPs and analyzing genomic diversity, patterns of genomic variation, population structure, and selection signatures related to coat color, coat structure, long hair, body size, reproductive capacity, and disease resistance.

Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing.

Background: Rabbit wool traits are important in fiber production and for model organism research on hair growth, but their genetic architecture remains obscure. In this study, we focused on wool characteristics in Angora rabbits, a breed well-known for the quality of its wool. Considering the cost to generate population-scale sequence data and the biased detection of variants using chip data, developing an effective genotyping strategy using low-coverage whole-genome sequencing (LCS) data is necessary to conduct genetic analyses.

Marker density and statistical model designs to increase accuracy of genomic selection for wool traits in Angora rabbits.

The Angora rabbit, a well-known breed for fiber production, has been undergoing traditional breeding programs relying mainly on phenotypes. Genomic selection (GS) uses genomic information and promises to accelerate genetic gain. Practically, to implement GS in Angora rabbit breeding, it is necessary to evaluate different marker densities and GS models to develop suitable strategies for an optimized breeding pipeline.

Fat-1 expression alleviates atherosclerosis in transgenic rabbits.

Atherosclerosis is the main cause of cardiovascular diseases. The Fat-1 gene can express the n-3 fatty acid desaturase, which converts n-6 polyunsaturated fatty acids (PUFA) to n-3 PUFAs. The role of n-3 PUFAs in atherosclerosis is widely debated.

Characterization of microRNA Profiles in -Infected Rabbits and Identification of miR-29-5p as a Regulator of Antibacterial Immune Response.

is the pathogenic agent for a variety of severe diseases in livestock, including rabbits. MicroRNAs (miRNAs) participate in the immune response to the pathogen. Distinct miRNA expression patterns were explored in rabbit lung by small-RNA deep sequencing to assess dysregulated miRNAs during infection.

The Profiles of Long Non-coding RNA and mRNA Transcriptome Reveals the Genes and Pathway Potentially Involved in Infection of New Zealand Rabbits.

Infection with () causes severe epidemic diseases in rabbits and is responsible for the pronounced economic losses in the livestock industry. Long non-coding RNAs (lncRNAs) have been proven to exert vital functions in regulating the host immune responses to bacterial attacks. However, little is known about how lncRNAs participate in the rabbit's immune response against infection in the lungs.

Chicken cecal DNA methylome alteration in the response to Salmonella enterica serovar Enteritidis inoculation.

Background: Salmonella enterica serovar Enteritidis (SE) is one of the pathogenic bacteria, which affects poultry production and poses a severe threat to public health. Chicken meat and eggs are the main sources of human salmonellosis. DNA methylation is involved in regulatory processes including gene expression, chromatin structure and genomic imprinting.

Cecal CircRNAs Are Associated With the Response to Serovar Enteritidis Inoculation in the Chicken.

Circular RNAs (circRNAs) are a class of endogenous noncoding RNA, which is different from linear RNA. CircRNA is an RNA molecule with a closed loop structure formed by reverse splicing. CircRNAs have been studied in several organisms, however, the circRNAs associated with the response to serovar Enteritidis (SE) inoculation in chickens are still unclear.

Cecal microbiome profile altered by , serovar Enteritidis inoculation in chicken.

Background: , serovar Enteritidis ( Enteritidis), an important zoonotic foodborne pathogen, can affect the microbiota of the chicken intestine and cause many enteric diseases, such as acute gastroenteritis. The gut microbiota contributes to the development and function of the host immune system and competes with pathogenic microbes. The interaction between Enteritidis and the host cecal microbiota is still not fully understood.

The desaturase OPIN17 from Phytophthora infestans converts arachidonic acid to eicosapentaenoic acid in CHO cells.

We demonstrate the ability to increase the amount of eicosapentaenoic acid (EPA, 20:5n-3) in mammalian cells using OPIN17 desaturase gene. This gene was codon optimized based on genomic sequence of Δ17 from Phytophthora infestans and introduced into Chinese hamster ovary cells using liposome-mediated transfection protocol. Reverse transcription polymerase chain reaction was utilized to evaluate co-expression of AcGFP1 and OPIN17.

[Relationship of genetic polymorphism of PRLR and RBP4 genes with litter size traits in pig].

The polymorphism of prolactin receptor (PRLR) and retinol-binding protein 4 (RBP4) genes was detected by PCR-RFLP method, and the effects of PRLR and RBP4 genes on litter size traits in pig were analyzed by the least square analysis. Data of total number born (TNB) and number born alive (NBA) from 323 sows, including five Shandong local pig breeds and three foreign pig breeds, were collected. The results showed that the polymorphic sites of both PRLR and RBP4 genes were found in all populations tested.

[Analysis of genetic diversity of Shandong indigenous chicken breeds using microsatellite marker].

Microsatellite marker is one of the frequently used molecular markers. It has been used in the genotype identification, pedigree analysis and estimation of genetic distance. In this paper, five microsatellite markers with high polymorphisms were selected to detect the genetic diversity of seven chicken breeds.