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SummaryChloroplast DNA sequence data are a versatile tool for plant identification or barcoding and establishing genetic relationships among plant species. Different chloroplast loci have been utilized for use at close and distant evolutionary distances in plants, and no single locus has been identified that can distinguish between all plant species. Advances in DNA sequencing technology are providing new cost-effective options for genome comparisons on a much larger scale. Universal PCR amplification of chloroplast sequences or isolation of pure chloroplast fractions, however, are nontrivial. We now propose the analysis of chloroplast genome sequences from massively parallel sequencing (MPS) of total DNA as a simple and cost-effective option for plant barcoding, and analysis of plant relationships to guide gene discovery for biotechnology. We present chloroplast genome sequences of five grass species derived from MPS of total DNA. These data accurately established the phylogenetic relationships between the species, correcting an apparent error in the published rice sequence. The chloroplast genome may be the elusive single-locus DNA barcode for plants.

BackgroundBoth sorghum (Sorghum bicolor) and sugarcane (Saccharum officinarum) are members of the Andropogoneae tribe in the Poaceae and are each other's closest relatives amongst cultivated plants. Both are relatively recent domesticates and comparatively little of the genetic potential of these taxa and their wild relatives has been captured by breeding programmes to date. This review assesses the genetic gains made by plant breeders since domestication and the progress in the characterization of genetic resources and their utilization in crop improvement for these two related species.Genetic ResourcesThe genome of sorghum has recently been sequenced providing a great boost to our knowledge of the evolution of grass genomes and the wealth of diversity within S. bicolor taxa. Molecular analysis of the Sorghum genus has identified close relatives of S. bicolor with novel traits, endosperm structure and composition that may be used to expand the cultivated gene pool. Mutant populations (including TILLING populations) provide a useful addition to genetic resources for this species. Sugarcane is a complex polyploid with a large and variable number of copies of each gene. The wild relatives of sugarcane represent a reservoir of genetic diversity for use in sugarcane improvement. Techniques for quantitative molecular analysis of gene or allele copy number in this genetically complex crop have been developed. SNP discovery and mapping in sugarcane has been advanced by the development of high-throughput techniques for ecoTILLING in sugarcane. Genetic linkage maps of the sugarcane genome are being improved for use in breeding selection. The improvement of both sorghum and sugarcane will be accelerated by the incorporation of more diverse germplasm into the domesticated gene pools using molecular tools and the improved knowledge of these genomes.

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Genetic variation present in wild and cultivated barley populations was investigated using two sources of microsatellite also known as simple sequence repeat (SSR) markers. EST-SSRs are derived from expressed sequences and genomic SSRs are isolated from genomic DNA. Genomic SSR markers detected a higher level of polymorphism than those derived from ESTs. Polymorphism information content was higher in genomic SSRs than EST-derived SSRs. This study showed that the EST-SSR markers developed in cultivated barley are polymorphic in wild and cultivated varieties and produced high quality markers. Ten of these functional markers were polymorphic across the accessions studied. EST markers indicated clearer separation between wild and cultivated barley than genomic SSRs. The EST-SSRs are a valuable source of new polymorphic markers and should be highly applicable to barley genetic resources, providing a direct estimate of functional biodiversity.

SummaryUnderstanding the development of the cereal caryopsis holds the future for metabolic engineering in the interests of enhancing global food production. We have developed a Serial Analysis of Gene Expression (SAGE) data platform to investigate the developing wheat has also provided a resource of novel sequence and expression information including the identification of potentially useful promoter activities. Further investigations into both the abundant and low expressing transcripts will provide greater insight into wheat caryopsis development and assist in wheat improvement programmes.

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