Genomic structural plasticity of rodent-associated Bartonella in nature.

Rodent-associated Bartonella species have shown a remarkable genetic diversity and pathogenic potential. To further explore the extent of the natural intraspecific genomic variation and its potential role as an evolutionary driver, we focused on a single genetically diverse Bartonella species, Bartonella krasnovii, which circulates among gerbils and their associated fleas. Twenty genomes from 16 different B. krasnovii genotypes were fully characterized through a genome sequencing assay (using short and long read sequencing), pulse field gel electrophoresis (PFGE), and PCR validation. Genomic analyses were performed in comparison to the B. krasnovii strain OE 1-1. While, single nucleotide polymorphism represented only a 0.3% of the genome variation, structural diversity was identified in these genomes, with an average of 51 ± 24 structural variation (SV) events per genome. Interestingly, a large proportion of the SVs (>40%) was associated with prophages. Further analyses revealed that most of the SVs, and prophage insertions were found at the chromosome replication termination site (ter), suggesting this site as a plastic zone of the B. krasnovii chromosome. Accordingly, six genomes were found to be unbalanced, and essential genes near the ter showed a shift between the leading and lagging strands, revealing the SV effect on these genomes. In summary, our findings demonstrate the extensive genomic diversity harbored by wild B. krasnovii strains and suggests that its diversification is initially promoted by structural changes, probably driven by phages. These events may constantly feed the system with novel genotypes that ultimately lead to inter- and intraspecies competition and adaptation.

Trait-specific long-term consequences of genomic selection in beef cattle.

Simulation studies allow addressing consequences of selection schemes, helping to identify effective strategies to enable genetic gain and maintain genetic diversity. The aim of this study was to evaluate the long-term impact of genomic selection (GS) in genetic progress and genetic diversity of beef cattle. Forward-in-time simulation generated a population with pattern of linkage disequilibrium close to that previously reported for real beef cattle populations. Different scenarios of GS and traditional pedigree-based BLUP (PBLUP) selection were simulated for 15 generations, mimicking selection for female reproduction and meat quality. For GS scenarios, an alternative selection criterion was simulated (wGBLUP), intended to enhance long-term gains by attributing more weight to favorable alleles with low frequency. GS allowed genetic progress up to 40% greater than PBLUP, for female reproduction and meat quality. The alternative criterion wGBLUP did not increase long-term response, although allowed reducing inbreeding rates and loss of favorable alleles. The results suggest that GS outperforms PBLUP when the selected trait is under less polygenic background and that attributing more weight to low-frequency favorable alleles can reduce inbreeding rates and loss of favorable alleles in GS.

Genome-wide CNV analysis reveals variants associated with growth traits in Bos indicus.

BACKGROUND: Apart from single nucleotide polymorphism (SNP), copy number variation (CNV) is another important type of genetic variation, which may affect growth traits and play key roles for the production of beef cattle. To date, no genome-wide association study (GWAS) for CNV and body traits in beef cattle has been reported, so the present study aimed to investigate this type of association in one of the most important cattle subspecies: Bos indicus (Nellore breed). RESULTS: We have used intensity data from over 700,000 SNP probes across the bovine genome to detect common CNVs in a sample of 2230 Nellore cattle, and performed GWAS between the detected CNVs and nine growth traits. After filtering for frequency and length, a total of 231 CNVs ranging from 894 bp to 4,855,088 bp were kept and tested as predictors for each growth trait using linear regression analysis with principal components correction. There were 49 significant associations identified among 17 CNVs and seven body traits after false discovery rate correction (P < 0.05). Among the 17 CNVs, three were significant or marginally significant for all the traits. We have compared the locations of associated CNVs with quantitative trait locus and the RefGene database, and found two sets of 9 CNVs overlapping with either known QTLs or genes, respectively. The gene overlapping with CNV100, KCNJ12, is a functional candidate for muscle development and plays critical roles in muscling traits. CONCLUSION: This study presents the first CNV-based GWAS of growth traits using high density SNP microarray data in cattle. We detected 17 CNVs significantly associated with seven growth traits and one of them (CNV100) may be involved in growth traits through KCNJ12.

Herd-of-origin effect on the post-weaning performance of centrally tested Nellore beef cattle.

The objective of a performance test station is to evaluate the performance of potential breeding bulls earlier in order to decrease the generation interval and increase genetic gain as well. This study evaluates the herd-of-origin influence on end-of-test weight (ETW), average daily weight gain during testing (ADG), average daily weight gain during the adjustment period (ADGadj), rib eye area (REA), marbling (MARB), subcutaneous fat thickness (SFT), conformation (C), early finishing (EF), muscling (M), navel (N) and temperament (T) scores, and scrotal circumference (SC) of Nellore cattle that underwent a performance test. We evaluated 664 animals that participated in the performance tests conducted at the Center for Performance CRV Lagoa between 2007 and 2012. Components of variance for each trait were estimated by an animal model (model 1), using the restricted maximum likelihood method. An alternative animal model (model 2) included, in addition to the fixed effects present in S1, the non-correlated random effect of herd-year (HY). A significant HY effect was observed on ETW, REA, SFT, ADGadj, C, and Cw (p < 0.05). The estimated heritability of all traits decreased when the HY effect was included in the model; also, the bull rank, in deciles, changed significantly for traits ETW, REA, SFT, and C. The adjustment period did not completely remove the environmental effect of herd of origin on ETW, REA, SFT, and C. It is recommended that the herd-of-origin effect should be included in the statistical models used to predict the breeding values of the participants of these performance tests.