Genome-Wide DNA Methylation Patterns of Muscle and Tail-Fat in DairyMeade Sheep and Mongolian Sheep.

This study aimed to explore the genome-wide DNA methylation differences between muscle and tail-fat tissues of DairyMeade sheep (thin-tailed, lean carcass) and Mongolian sheep (fat-tailed, fat-deposited carcass). Whole-genome bisulfite sequencing (WGBS) was conducted and the global DNA methylation dynamics were mapped. Generally, CGs had a higher DNA methylation level than CHHs and CHGs, and tail-fat tissues had higher CG methylation levels than muscle tissues. For DNA repeat elements, SINE had the highest methylation level, while Simple had the lowest. When dividing the gene promoter region into small bins (200 bp per bin), the bins near the transcription start site (±200 bp) had the highest CG count per bin but the lowest DNA methylation levels. A series of DMRs were identified in muscle and tail-fat tissues between the two breeds. Among them, the introns of gene CAMK2D (calcium/calmodulin-dependent protein kinase II δ) demonstrated significant DNA methylation level differences between the two breeds in both muscle and tail-fat tissues, and it may play a crucial role in fat metabolism and meat quality traits. This study may provide basic datasets and references for further epigenetic modification studies during sheep genetic improvement.

De Novo Assembly of 20 Chicken Genomes Reveals the Undetectable Phenomenon for Thousands of Core Genes on Microchromosomes and Subtelomeric Regions.

The gene numbers and evolutionary rates of birds were assumed to be much lower than those of mammals, which is in sharp contrast to the huge species number and morphological diversity of birds. It is, therefore, necessary to construct a complete avian genome and analyze its evolution. We constructed a chicken pan-genome from 20 de novo assembled genomes with high sequencing depth, and identified 1,335 protein-coding genes and 3,011 long noncoding RNAs not found in GRCg6a. The majority of these novel genes were detected across most individuals of the examined transcriptomes but were seldomly measured in each of the DNA sequencing data regardless of Illumina or PacBio technology. Furthermore, different from previous pan-genome models, most of these novel genes were overrepresented on chromosomal subtelomeric regions and microchromosomes, surrounded by extremely high proportions of tandem repeats, which strongly blocks DNA sequencing. These hidden genes were proved to be shared by all chicken genomes, included many housekeeping genes, and enriched in immune pathways. Comparative genomics revealed the novel genes had 3-fold elevated substitution rates than known ones, updating the knowledge about evolutionary rates in birds. Our study provides a framework for constructing a better chicken genome, which will contribute toward the understanding of avian evolution and the improvement of poultry breeding.

GLIS1, a potential candidate gene affect fat deposition in sheep tail.

Fat deposition in sheep tails is as a result of a complicated mechanism. Mongolian sheep (MG) and Small Tail Han sheep (STH) are two fat-tailed Chinese indigenous sheep breeds while DairyMeade and East Friesian (DS) are two thin-tailed dairy sheep breeds recently introduced to China. In this study, population genomics analysis was applied to identify candidate genes associated with sheep tails based on an in-depth whole-genome sequencing of MG, STH and DS. The selective signature analysis demonstrated that GLIS1, LOC101117953, PDGFD and T were in the significant divergent regions between DS and STH-MG. A nonsynonymous point mutation (g.27807636G>T) was found within GLIS1 in STH-MG and resulted in a Pro to Thr substitution. As a pro-adipogenic factor, GLIS1 may play critical roles in the mesodermal cell differentiation during fetal development affecting fat deposition in sheep tails. This study gives a new insight into the genetic basis of species-specific traits of sheep tails.

Chromosome-Level Reference Genome and Population Genomic Analysis Provide Insights into the Evolution and Improvement of Domesticated Mulberry (Morus alba).

Mulberry (Morus spp.) is the sole plant consumed by the domesticated silkworm. However, the genome of domesticated mulberry has not yet been sequenced, and the ploidy level of this species remains unclear. Here, we report a high-quality, chromosome-level domesticated mulberry (Morus alba) genome. Analysis of genomic data and karyotype analyses confirmed that M. alba is a diploid with 28 chromosomes (2n = 2x = 28). Population genomic analysis based on resequencing of 134 mulberry accessions classified domesticated mulberry into three geographical groups, namely, Taihu Basin of southeastern China (Hu mulberry), northern and southwestern China, and Japan. Hu mulberry had the lowest nucleotide diversity among these accessions and demonstrated obvious signatures of selection associated with environmental adaptation. Further phylogenetic analysis supports a previous proposal that multiple domesticated mulberry accessions previously classified as different species actually belong to one species. This study expands our understanding of genome evolution of the genus Morus and population structure of domesticated mulberry, which would facilitate mulberry breeding and improvement.

Comparative Transcriptome Analysis Provides Insights into the Polyunsaturated Fatty Acid Synthesis Regulation of Fat-1 Transgenic Sheep.

Transgenic technology has huge application potential in agriculture and medical fields, such as producing new livestock varieties with new valuable features and xenotransplantation. However, how an exogenous gene affects the host animal's gene regulation networks and their health status is still poorly understood. In the current study, Fat-1 transgenic sheep were generated, and the tissues from 100-day abnormal (DAF_1) and normal (DAF_2) fetuses, postnatal lambs (DAF_4), transgenic-silencing (DAFG5), and -expressing (DAFG6) skin cells were collected and subjected to transcriptome sequencing, and their gene expression profiles were compared in multiple dimensions. The results were as follows. For DAF_1, its abnormal development was caused by pathogen invasion but not the introduction of the Fat-1 gene. Fat-1 expression down-regulated the genes related to the cell cycle; the NF-κB signaling pathway and the PI3K/Akt signaling pathway were down-regulated, and the PUFAs (polyunsaturated fatty acids) biosynthesis pathway was shifted toward the biosynthesis of high-level n-3 LC-PUFAs (long-chain PUFAs). Four key node genes, FADS2, PPARA, PRKACA, and ACACA, were found to be responsible for the gene expression profile shift from the Fat-1 transgenic 100-day fetus to postnatal lamb, and FADS2 may play a key role in the accumulation of n-3 LC-PUFAs in Fat-1 transgenic sheep muscle. Our study provides new insights into the FUFAs synthesis regulation in Fat-1 transgenic animals.

DNA methylation subpatterns at distinct regulatory regions in human early embryos.

DNA methylation has been investigated for many years, but recent technologies have allowed for single-cell- and single-base-resolution DNA methylation datasets and more accurate assessment of DNA methylation dynamics at the key genomic regions that regulate gene expression in human early embryonic development. In this study, the region from upstream 20 kb to downstream 20 kb of RefSeq gene was selected and divided into 12 distinct regions (up20, up10, up5, up2, 5'UTR, exon, intron, 3'UTR, down2, down5, down10 and down20). The candidate promoter region (TSS ± 2 kb) was further divided into 20 consecutive subregions, which were termed 'bins'. The DNA methylation dynamics of these regions were systematically analysed along with their effects on gene expression in human early embryos. The dynamic DNA methylation subpatterns at the distinct genomic regions with a focus on promoter regions were mapped. For the 12 distinct genomic regions, up2 and 5'UTR had the lowest DNA methylation levels, and their methylation dynamics were different with other regions. The region 3'UTR had the highest DNA methylation levels, and the correlation analysis with gene expression proved that it was a feature of transcribed genes. For the 20 bins in promoter region, the CpG densities showed a normal distribution pattern, and the trend of the methylated CpG counts was inverse with the DNA methylation levels, especially for the bin 1 (downstream 200 bp of the TSS). Through the correlation analysis between DNA methylation and gene expression, the current study finally revealed that the region bin -4 to 6 (800 bp upstream to 1200 bp downstream of the TSS) was the best candidate for the promoter region in human early embryos, and bin 1 was the putative key regulator of gene activity. This study provided a global and high-resolution view of DNA methylation subpatterns at the distinct genomic regions in human early embryos.

Whole-genome resequencing of Ujumqin sheep to investigate the determinants of the multi-vertebral trait.

The Ujumqin sheep is one of the most profitable breeds in China, with unique multi-vertebral characteristics. We performed high-throughput genome resequencing of five multi-vertebral and three non-multi-vertebral sheep in an Ujumqin population. We identified the genomic regions that correlated with the germplasm characteristics to establish the cause of the "multi-vertebral" phenotype in this breed. Sequencing generated a total of 314 952 000 000 bp of raw data. The alignment rate of all the samples was between 98.53% and 99.11%, and the mean depth of coverage relative to the reference genome was between 11.58× and 14.92×. After comparing the differences between the two groups, we identified 21 homozygous single nucleotide polymorphisms (SNPs) in the mutant exons of 14 genes. Nineteen loci of 10 genes contained nonsynonymous mutations, while two loci contained synonymous mutations. Resequencing revealed homozygous mutations comprised of 44 indels located within exons of 19 genes. These indels included 37 frameshift mutations, 6 non-frameshift mutations, and 1 stopgain single nucleotide variation (SNV). Finally, comparisons of genotypic variations revealed 17 genes with homozygous mutations in their coding regions, 5 of which have previously been associated with vertebral development and the remaining 12 genes were newly identified in this study.