Functional genomics in forage and turf - present status and future prospects

The recent advances in plant genomics have greatly influenced basic research in many agriculturally important crops. Along with the availability of complete genome information from the model grass species rice and the model legume species M. trucncatula, the functional genomics activities in other crop species will accelerate the genomics studies of forage and turf. Brachypodium distachyon was recently proposed as a new model plant for forage and turf grass genomics studies. The combination of bioinformatics and genomics will enhance our understanding of the molecular functions of forage and turf species. This review focuses on recent advances and applications of functional genomics for large-scale EST projects, global gene expression analyses, proteomics, and metabolic profiling, as well as the impact of functional genomics on improvement of forage and turf crops. Key words: Functional genomics, forage and turf grasses, ESTs, microarray, proteomics, metabolomics, Medicago truncatula, legume. African Journal of Biotechnology Vol. 2 (12), pp. 521-527, December 200

Combining Next-Generation Sequencing Strategies for Rapid Molecular Resource Development from an Invasive Aphid Species, Aphis glycines

Aphids are one of the most important insect taxa in terms of ecology, evolutionary biology, genetics and genomics, and interactions with endosymbionts. Additionally, many aphids are serious pest species of agricultural and horticultural plants. Recent genetic and genomic research has expanded molecular resources for many aphid species, including the whole genome sequencing of the pea aphid, Acrythosiphon pisum. However, the invasive soybean aphid, Aphis glycines, lacks in any significant molecular resources.Two next-generation sequencing technologies (Roche-454 and Illumina GA-II) were used in a combined approach to develop both transcriptomic and genomic resources, including expressed genes and molecular markers. Over 278 million bp were sequenced among the two methods, resulting in 19,293 transcripts and 56,688 genomic sequences. From this data set, 635 SNPs and 1,382 microsatellite markers were identified. For each sequencing method, different soybean aphid biotypes were used which revealed potential biotype specific markers. In addition, we uncovered 39,822 bp of sequence that were related to the obligatory endosymbiont, Buchnera aphidicola, as well as sequences that suggest the presence of Hamiltonella defensa, a facultative endosymbiont.Molecular resources for an invasive, non-model aphid species were generated. Additionally, the power of next-generation sequencing to uncover endosymbionts was demonstrated. The resources presented here will complement ongoing molecular studies within the Aphididae, including the pea aphid whole genome, lead to better understanding of aphid adaptation and evolution, and help provide novel targets for soybean aphid control