Genetic parameters and genome-wide association analyses for lifetime productivity in Chinese Holstein cattle.

Lifetime productivity is a trait of great importance to dairy cattle populations as it combines information from production and longevity variables. Therefore, we investigated the genetic background of lifetime productivity in high-producing dairy cattle by integrating genomics and transcriptomics data sets. A total of 3,365,612 test-day milk yield records from 134,029 Chinese Holstein cows were used to define 6 lifetime productivity traits, including lifetime milk yield covering full lifespan and 5 cumulative milk yield traits covering partial lifespan. Genetic parameters were estimated based on univariate and bivariate linear animal models and the Restricted Maximum Likelihood (REML) method. Genome-wide association studies (GWAS) and weighted gene co-expression network analyses (WGCNA) were performed to identify candidate genes associated with lifetime productivity based on genomic data from 3,424 cows and peripheral blood RNA-seq data from 23 cows, respectively. Lifetime milk yield averaged 24,800.8 ± 14,396.6 kg (mean ± SD) across an average of 2.4 parities in Chinese Holstein population. The heritability estimates for lifetime productivity traits ranged from 0.05 (±0.01 for SE) to 0.10 (±0.02 for SE). The estimate of genetic correlation between lifetime milk yield and productive life is 0.88 (±0.3 for SE) while the genetic correlation with 305d milk yield in the first lactation was 0.49 (±0.08 for SE). Absolute values for most genetic correlation estimates between lifetime productivity and type traits were lower than 0.30. Moderate genetic correlations were found between udder related traits and lifetime productivity, such as with udder depth (0.33), rear udder attachment height (0.33), and udder system (0.34). Some single nucleotide polymorphisms and gene co-expression modules significantly associated with lifetime milk yield were identified based on GWAS and WGCNA analyses, respectively. Functional enrichment analyses of the candidate genes identified revealed important pathways related to immune system, longevity, energy utilization and metabolism, and FoxO signaling. The genes NTMT1, FNBP1, and S1PR1 were considered to be the most important candidate genes influencing lifetime productivity in Holstein cows. Overall, our findings indicate that lifetime productivity is heritable in Chinese Holstein cattle and important candidate genes were identified by integrating genomic and transcriptomic data sets.

[Advances on BTB protein ubiquitination mediated plant development and stress response].

The BTB (broad-complex, tramtrack, and bric-à-brac) domain is a highly conserved protein interaction motif in eukaryotes. They are widely involved in transcriptional regulation, protein degradation and other processes. Recently, an increasing number of studies have shown that these genes play important roles in plant growth and development, biotic and abiotic stress processes. Here, we summarize the advances of these proteins ubiquitination-mediated development and abiotic stress responses in plants based on the protein structure, which may facilitate the study of this type of gene in plants.

Genome-Wide Identification and Expression Analysis of the Protease Inhibitor Gene Families in Tomato.

The protease inhibitors (PIs) in plants are involved primarily in defense against pathogens and pests and in response to abiotic stresses. However, information about the PI gene families in tomato (Solanumlycopersicum), one of the most important model plant for crop species, is limited. In this study, in silico analysis identified 55 PI genes and their conserved domains, phylogenetic relationships, and chromosome locations were characterized. According to genetic structure and evolutionary relationships, the PI gene families were divided into seven families. Genome-wide microarray transcription analysis indicated that the expression of SlPI genes can be induced by abiotic (heat, drought, and salt) and biotic (Botrytiscinerea and tomato spotted wilt virus (TSWV)) stresses. In addition, expression analysis using RNA-seq in various tissues and developmental stages revealed that some SlPI genes were highly or preferentially expressed, showing tissue- and developmental stage-specific expression profiles. The expressions of four representative SlPI genes in response to abscisic acid (ABA), salicylic acid (SA), ethylene (Eth), gibberellic acid (GA). and methyl viologen (MV) were determined. Our findings indicated that PI genes may mediate the response of tomato plants to environmental stresses to balance hormone signals. The data obtained here will improve the understanding of the potential function of PI gene and lay a foundation for tomato breeding and transgenic resistance to stresses.

Three New Triterpenoid Saponins from Notoginseng Medicinal Fungal Substance.

Three new triterpenoid saponins, named ginsenoside-Rh23 (1), ginsenoside-Rh24 (2), and ginsenoside-Rh25 (3), were isolated from notoginseng medicinal fungal substance. Their structures were elucidated by a combination of 1D- and 2D-NMR, MS and chemical analysis. Compounds 1 - 3 exhibited moderate cytotoxic activity against MCF-7 and NCI-H460 cancer cell lines.

Estimation of genomic inbreeding coefficients based on high-density SNP markers in Chinese Holstein cattle.

In livestock, inbreeding coefficient based on pedigree information is usually used to evaluate the level of inbreeding. Recently, with cost reduction of high-density SNP genotyping, it's possible to analyze real genomic inbreeding degree using genomic information. In this study, utilizing high-density SNP chip data, we analyzed the frequency and distribution of runs of homozygosity (ROH) in 2107 Chinese Holstein cattle in Beijing area, and calculated 2 genomic inbreeding coefficients, i.e., 1) the proportion of ROH length in the total length of autosomal genome (Froh), and 2) the percentage of homozygous SNPs (Fhom). Then we analyzed the correlation between 2 genomic inbreeding coefficients and the correlation between genomic and pedigree inbreeding coefficients. We totally detected 44 676 ROHs that mainly ranged from 1 to 10 Mb. Various lengths of ROHs existed in the genome. There were more short ROHs than long ROHs. ROHs aren't evenly distributed in chromosomes. The area with most ROHs is in the middle part of chromosome 10. Strong correlation (r > 0.90) existed between 2 kinds of genomic inbreeding coefficients, but the correlation between pedigree and genomic inbreeding coefficients were much lower (r < 0.50). Our finding suggests that pedigree completeness influences the correlation between genomic and pedigree inbreeding. Genomic inbreeding measures may reflect individuals' real inbreeding, which could be a useful tool to evaluate population inbreeding.