Associations between two novel rSNPs in 5'-flanking region of the bovine casein gene cluster and milk performance traits

Ten evolutionary conservative sequences with high identity level to homological sequences in other mammal species were revealed in 5'-flanking region of casein's genes cluster. Five novel SNPs located inside of the evolutionary conservative regions were identified. The binding sites were revealed to be present in one allelic variant of four detected SNPs. So these SNPs were considered as rSNPs. Significant differences of allelic frequencies were revealed between beef cow's group and dairy cow's group in two rSNPs (NCE4, NCE7, p<0.001). Different alleles of those two rSNPs were shown to be associated with some milk performance traits in Black-and-White Holstein dairy cows. Significant difference of protein percentage has been found between cows with G/G and A/A genotypes (P<0.05) and A/G and A/A genotypes (P<0.05) for NCE4 polymorphism. The groups of animals with genotypes G/G and A/G for NCE7 polymorphism were significantly different in milk yield at the first lactation (kg) (P<0.01), milk fat yield (kg) (P<0.05) and milk protein yield (kg) (P<0.01). For the last trait the difference was significant also between cows with genotypes G/G and A/A for rSNP NCE7 (P<0.05).     

Systematic identification of common functional modules related to heart failure with different etiologies

The development of heart failure (HF) is a complex process that can be initiated by multiple etiologies. Identifying common functional modules associated with HF is a challenging task. Here, we developed a systems method to identify these common functional modules by integrating multiple expression profiles, protein interactions from four species, gene function annotations, and text information. We identified 1439 consistently differentially expressed genes (CDEGs) across HF with different etiologies by applying three meta-analysis methods to multiple HF-related expression profiles. Using a weighted human interaction network constructed by combining interaction data from multiple species, we extracted 60 candidate CDEG modules. We further evaluated the functional relevance of each module by using expression, interaction network, functional annotations, and text information together. Finally, five functional modules with significant biological relevance were identified. We found that almost half of the genes in these modules are hubs in the weighted network, and that these modules can accurately classify HF patients from healthy subjects. We also identified many significantly enriched biological processes that contribute to the pathophysiology of HF, including two new ones, RNA splicing and vesicle-mediated protein transport. In summary, we proposed a novel framework to analyze common functional modules related to HF with different etiologies. Our findings provide important insights into the complex mechanism of HF. Further biological experimentations should be required to validate these novel biological processes.     

Amylase gene expression patterns in Helicoverpa armigera upon feeding on a range of host plants

Venoms contain highly complex mixtures that typically include hundreds of different components and have evolved independently in a diverse range of animals including platypuses, shrews, snakes, lizards, fishes, echinoderms, spiders, wasps, centipedes, sea snails, cephalopods, jellyfish and sea anemones. Many venom genes evolved through gene duplication. Gene duplication occurs in all domains of life and provides the raw substrate from which novel function arise. In this review, we focus on the role that gene duplication has played in the origin and diversification of venom genes. We outline the selective advantages of venom gene duplicates and the role that selection has played in the retention of these duplicates. We use toxin gene intermediates to help trace the evolution of toxin innovation. We also focus on other genomic processes, such as exon and domain duplications, in venom evolution. Finally, we conclude by focusing on the use of high throughput sequencing technology in understanding venom evolution.     

Molecular and structural analysis of C4-specific PEPC isoform from Pennisetum glaucum plays a role in stress adaptation

Phosphoenolpyruvate carboxylase is an ubiquitous cytosolic enzyme that catalyzes the ß-carboxylation of phosphoenolpyruvate (PEP) and is encoded by multigene family in plants. It plays an important role in carbon economy of plants by assimilating CO₂ into organic acids for subsequent C₄ or CAM photosynthesis or to perform several anaplerotic roles in non-photosynthetic tissues. In this study, a cDNA clone encoding for PEPC polypeptide possessing signature motifs characteristic to ZmC₄PEPC was isolated from Pennisetum glaucum (PgPEPC). Deduced amino acid sequence revealed its predicted secondary structure consisting of forty alpha helices and eight beta strands is well conserved among other PEPC homologs irrespective of variation in their primary amino acid sequences. Predicted PgPEPC quartenary structure is a tetramer consisting of a dimer of dimers, which is globally akin to maize PEPC crystal structure with respect to major chain folding wherein catalytically important amino acid residues of active site geometry are conserved. Recombinant PgPEPC protein expressed in E. coli and purified to homogeneity, possessed in vitro ß-carboxylation activity that is determined using a coupled reaction converting PEP into malate. Tetramer is the most active form, however, it exists in various oligomeric forms depending upon the protein concentration, pH, ionic strength of the media and presence of its substrate or effecters. Recombinant PgPEPC protein confers enhanced growth advantage to E. coli under harsh growth conditions in comparison to their respective controls; suggesting that PgPEPC plays a significant role in stress adaptation.     

Mapping QTLs and candidate genes for iron and zinc concentrations in unpolished rice of Madhukar×Swarna RILs

Identifying QTLs/genes for iron and zinc in rice grains can help in biofortification programs. 168 F(7) RILs derived from Madhukar×Swarna were used to map QTLs for iron and zinc concentrations in unpolished rice grains. Iron ranged from 0.2 to 224ppm and zinc ranged from 0.4 to 104ppm. Genome wide mapping using 101 SSRs and 9 gene specific markers showed 5 QTLs on chromosomes 1, 3, 5, 7 and 12 significantly linked to iron, zinc or both. In all, 14 QTLs were identified for these two traits. QTLs for iron were co-located with QTLs for zinc on chromosomes 7 and 12. In all, ten candidate genes known for iron and zinc homeostasis underlie 12 of the 14 QTLs. Another 6 candidate genes were close to QTLs on chromosomes 3, 5 and 7. Thus the high priority candidate genes for high Fe and Zn in seeds are OsYSL1 and OsMTP1 for iron, OsARD2, OsIRT1, OsNAS1, OsNAS2 for zinc and OsNAS3, OsNRAMP1, Heavy metal ion transport and APRT for both iron and zinc together based on our genetic mapping studies as these genes strictly underlie QTLs. Several elite lines with high Fe, high Zn and both were identified.     

Meta-analysis suggests choosy females get sexy sons more than "good genes"

Female preferences for specific male phenotypes have been documented across a wide range of animal taxa, including numerous species where males contribute only gametes to offspring production. Yet, selective pressures maintaining such preferences are among the major unknowns of evolutionary biology. Theoretical studies suggest that preferences can evolve if they confer genetic benefits in terms of increased attractiveness of sons ("Fisherian" models) or overall fitness of offspring ("good genes" models). These two types of models predict, respectively, that male attractiveness is heritable and genetically correlated with fitness. In this meta-analysis, we draw general conclusions from over two decades worth of empirical studies testing these predictions (90 studies on 55 species in total). We found evidence for heritability of male attractiveness. However, attractiveness showed no association with traits directly associated with fitness (life-history traits). Interestingly, it did show a positive correlation with physiological traits, which include immunocompetence and condition. In conclusion, our results support "Fisherian" models of preference evolution, while providing equivocal evidence for "good genes." We pinpoint research directions that should stimulate progress in our understanding of the evolution of female choice.     

High-Throughput Discovery of Mutations in Tef Semi-Dwarfing Genes by Next-Generation Sequencing Analysis

Tef (Eragrostis tef) is a major cereal crop in Ethiopia. Lodging is the primary constraint to increasing productivity in this allotetraploid species, accounting for losses of ∼15–45% in yield each year. As a first step toward identifying semi-dwarf varieties that might have improved lodging resistance, an ∼6× fosmid library was constructed and used to identify both homeologues of the dw3 semi-dwarfing gene of Sorghum bicolor. An EMS mutagenized population, consisting of ∼21,210 tef plants, was planted and leaf materials were collected into 23 superpools. Two dwarfing candidate genes, homeologues of dw3 of sorghum and rht1 of wheat, were sequenced directly from each superpool with 454 technology, and 120 candidate mutations were identified. Out of 10 candidates tested, six independent mutations were validated by Sanger sequencing, including two predicted detrimental mutations in both dw3 homeologues with a potential to improve lodging resistance in tef through further breeding. This study demonstrates that high-throughput sequencing can identify potentially valuable mutations in under-studied plant species like tef and has provided mutant lines that can now be combined and tested in breeding programs for improved lodging resistance.     

Disentangling the roles of history and local selection in shaping clinal variation of allele frequencies and gene expression in Norway spruce (Picea abies)

Understanding the genetic basis of local adaptation is challenging due to the subtle balance among conflicting evolutionary forces that are involved in its establishment and maintenance. One system with which to tease apart these difficulties is clines in adaptive characters. Here we analyzed genetic and phenotypic variation in bud set, a highly heritable and adaptive trait, among 18 populations of Norway spruce (Picea abies), arrayed along a latitudinal gradient ranging from 47°N to 68°N. We confirmed that variation in bud set is strongly clinal, using a subset of five populations. Genotypes for 137 single-nucleotide polymorphisms (SNPs) chosen from 18 candidate genes putatively affecting bud set and 308 control SNPs chosen from 264 random genes were analyzed for patterns of genetic structure and correlation to environment. Population genetic structure was low (F(ST) = 0.05), but latitudinal patterns were apparent among Scandinavian populations. Hence, part of the observed clinal variation should be attributable to population demography. Conditional on patterns of genetic structure, there was enrichment of SNPs within candidate genes for correlations with latitude. Twenty-nine SNPs were also outliers with respect to F(ST). The enrichment for clinal variation at SNPs within candidate genes (i.e., SNPs in PaGI, PaPhyP, PaPhyN, PaPRR7, and PaFTL2) indicated that local selection in the 18 populations, and/or selection in the ancestral populations from which they were recently derived, shaped the observed cline. Validation of these genes using expression studies also revealed that PaFTL2 expression is significantly associated with latitude, thereby confirming the central role played by this gene in the control of phenology in plants.     

Identification of differentially expressed microRNAs and their PKC-isoform specific gene network prediction during hypoxic pre-conditioning and focal cerebral ischemia of mice

We previously reported the involvement of conventional protein kinase C (cPKC) βII, γ, novel PKC (nPKC) ε and their interacting proteins in hypoxic pre-conditioning (HPC)-induced neuroprotection. In this study, the large-scale miRNA microarrays and bioinformatics analysis were used to determine the differentially expressed miRNAs and their PKC-isoform specific gene network in mouse brain after HPC and 6?h middle cerebral artery occlusion (MCAO). We found 4 up-regulated and 13 down-regulated miRNAs in the cortex of HPC mice, 26 increased and 39 decreased gene expressions of miRNAs in the peri-infarct region of 6?h MCAO mice, and 11 up-regulated and 22 down-regulated miRNAs in the peri-infarct region of HPC and 6?h MCAO mice. Based on Diff Score, 19 differentially expressed miRNAs were identified in HPC and 6?h MCAO mouse brain. Then the miRNA-gene-network of 19 specified miRNAs target genes of cPKCβII, γ and nPKCε-interacting protein was predicted by using bioinformatics analysis of genome databases. Furthermore, the down-regulated miR-615-3p during HPC had a detrimental effect on the oxygen-glucose deprivation (OGD)-induced N2A cell injury. These results suggested that the identified 19 miRNAs, notably miR-615-3p, might target these genes of cPKCβII, γ and nPKCε-interacting proteins involved in HPC-induced neuroprotection.