A cost-effective and universal strategy for complete prokaryotic genomic sequencing proposed by computer simulation

High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance

Increasing globalization, agricultural intensification, urbanization, and climatic changes have resulted in a significant recent increase in emerging infectious zoonotic diseases. Zoonotic diseases are becoming more common, so innovative, effective, and integrative research is required to better understand their transmission, ecological implications, and dynamics at wildlife-human interfaces. High-throughput sequencing (HTS) methodologies have enormous potential for unraveling these contingencies and improving our understanding, but they are only now beginning to be realized in livestock research. This study investigates the current state of use of sequencing technologies in the detection of livestock pathogens such as bovine, dogs (Canis lupus familiaris), sheep (Ovis aries), pigs (Sus scrofa), horses (Equus caballus), chicken (Gallus gallus domesticus), and ducks (Anatidae) as well as how it can improve the monitoring and detection of zoonotic infections. We also described several high-throughput sequencing approaches for improved detection of known, unknown, and emerging infectious agents, resulting in better infectious disease diagnosis, as well as surveillance of zoonotic infectious diseases. In the coming years, the continued advancement of sequencing technologies will improve livestock research and hasten the development of various new genomic and technological studies on farm animals.

Expressed sequence tag analysis of the emu (Dromaius novaehollandiae) pituitary by 454 GS Junior pyrosequencing

Emus (Dromaius novaehollandiae) are farmed for their oil for pharmaceutical and cosmetic uses. This emu pituitary expressed sequence tag study was undertaken to identify novel transcripts in the emu pituitary to propel their identification and functional studies. By mapping reads derived from the Roche 454 GS Junior pyrosequencer to 8 reference species (human, mouse, chicken, zebra finch, fruit fly, turkey, round worm, and Carolina anole lizard) from the UniGene database, a total of 81,788 reads (53,312 mapped reads) were obtained and assembled with Reference Sequence (RefSeq). We annotated 6,676 potential emu genes by referencing 7 species (excluding lizard) and identified 1,232 potential genes common among 3 species (human, mouse, and chicken) with complete available reference genomes. Gene Ontology analysis revealed 376 Gene Ontology terms showing, with the highest counts, their involvements in biological processes, metabolism, and cellular components. These potential genes were detected to associate with 20 pathways including mitogen-activated protein kinase, insulin, neurotrophin signaling pathways, and carbohydrate digestion and absorption pathway. We also revealed a panel of tissue-specific genes including regulator of G-protein signaling protein (RGS), glucagon-like peptide receptor (GLPR), and growth hormone-inducible transmembrane protein (GHITM). Additionally, fatty acid binding protein (FABP), fatty acid desaturase (FAS), and stearoyl-coenzyme A desaturase (SCD), key enzyme genes in fat metabolism, were found to be also expressed in emu pituitary. This expressed sequence tag study represents the first step in functional characterization of emu pituitary gene expression and SNP identification for the improvement of fat production in the emu.