Making meat collectivities : entanglements of geneticisation, integration and contestation in livestock breeding

To explore some of the contours of this meat ‘supply chain integration’ - ‘the phrase of the moment’ according to Farmers Weekly - this chapter draws on research conducted as part of a project exploring the effects of the emergence of particular types of genetic knowledge-practice in beef cattle and sheep breeding in the UK and their entanglement with ‘traditional’ ways of knowing and valuing livestock. The research is interested in the production and circulation of genetic knowledge-practices in agriculture, in examining how such knowledge-practices become established and gain legitimacy, how they become tangled up with visual and other traditional knowledge-practices, and in the effects of genetic knowledge-practices on how cattle and sheep are bred and managed and on human-nonhuman animal relationships in livestock farming. The research has increasingly led us to explore the process of ‘geneticisation’ beyond the farm gate, to look at how the establishment of particular genetic truths or ways of rendering ‘life itself’ (Franklin, 2000) are entangled with processes of restructuring and differentiation within UK food systems

Cellulase Enzyme Activity of Aspergillus fumigatus from Mangrove Soil on Lignocellulosic Substrate

Sawdust was used as lignocellulosic substrates for the production of cellulase enzyme using Aspergillus fumigatus which was isolated from mangrove soil after pretreatment with 4% sodium hydroxide. Parameters like pH, temperature, nitrogen sources and inducers were optimized for the cellulase production

Diversity of fungi in mangrove ecosystem

The present study was taken with an objective to asses the occurrence of fungi on leaves, bark and pneumatophores from the selected mangroves, fungi from soil and water was also recorded and physicochemical parameters of soil and water were noted. Maximum number of fungi was isolated from soil. Pneumatophores of Avicennia marina showed more fungal count than leaf and bark of other mangroves.Aspergillus spp were found to be dominant among the various fungal species isolated from the mangrove ecosystem

CAMERA: A Community Resource for Metagenomics

The CAMERA (Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis) community database for metagenomic data deposition is an important first step in developing methods for monitoring microbial communities

Meeting Report from the Genomic Standards Consortium (GSC) Workshops 6 and 7

This report summarizes the proceedings of the 6th and 7th workshops of the Genomic Standards Consortium (GSC), held back-to-back in 2008. GSC 6 focused on furthering the activities of GSC working groups, GSC 7 focused on outreach to the wider community. GSC 6 was held October 10-14, 2008 at the European Bioinformatics Institute, Cambridge, United Kingdom and included a two-day workshop focused on the refinement of the Genomic Contextual Data Markup Language (GCDML). GSC 7 was held as the opening day of the International Congress on Metagenomics 2008 in San Diego California. Major achievements of these combined meetings included an agreement from the International Nucleotide Sequence Database Consortium (INSDC) to create a “MIGS” keyword for capturing ”Minimum Information about a Genome Sequence” compliant information within INSDC (DDBJ/EMBL /Genbank) records, launch of GCDML 1.0, MIGS compliance of the first set of “Genomic Encyclopedia of Bacteria and Archaea” project genomes, approval of a proposal to extend MIGS to 16S rRNA sequences within a “Minimum Information about an Environmental Sequence”, finalization of plans for the GSC eJournal, “Standards in Genomic Sciences” (SIGS), and the formation of a GSC Board. Subsequently, the GSC has been awarded a Research Co-ordination Network (RCN4GSC) grant from the National Science Foundation, held the first SIGS workshop and launched the journal. The GSC will also be hosting outreach workshops at both ISMB 2009 and PSB 2010 focused on “Metagenomics, Metadata and MetaAnalysis” (M3). Further information about the GSC and its range of activities can be found at http://gensc.org, including videos of all the presentations at GSC 7

Identification of ribosomal RNA genes in metagenomic fragments

Motivation: Identification of genes coding for ribosomal RNA (rRNA) is considered an important goal in the analysis of data from metagenomics projects. Here, we report the development of a software program designed for the identification of rRNA genes from metagenomic fragments based on hidden Markov models (HMMs). This program provides rRNA gene predictions with high sensitivity and specificity on artificially fragmented genomic DNAs