Advances in genomics for the improvement of quality in coffee.

Coffee is an important crop that provides a livelihood to millions of people living in developing countries. Production of genotypes with improved coffee quality attributes is a primary target of coffee genetic improvement programmes. Advances in genomics are providing new tools for analysis of coffee quality at the molecular level. The recent report of a genomic sequence for robusta coffee, Coffea canephora, is a major development. However, a reference genome sequence for the genetically more complex arabica coffee (C. arabica) will also be required to fully define the molecular determinants controlling quality in coffee produced from this high quality coffee species. Genes responsible for control of the levels of the major biochemical components in the coffee bean that are known to be important in determining coffee quality can now be identified by association analysis. However, the narrow genetic base of arabica coffee suggests that genomics analysis of the wild relatives of coffee (Coffea spp.) may be required to find the phenotypic diversity required for effective association genetic analysis. The genomic resources available for the study of coffee quality are described and the potential for the application of next generation sequencing and association genetic analysis to advance coffee quality research are explored. © 2016 Society of Chemical Industry.

Mutation and mutation screening.

Molecular techniques have created the opportunity for great advances in plant mutation genetics and the science of mutation breeding. The powerful targeted induced local lesions in genomes (TILLING) technique has introduced the possibility of reverse genetics-the ability to screen for mutations at the DNA level prior to assessing phenotype. Fundamental to TILLING is the induction of mutant populations (or alternatively, the identification of mutants in the environment); and mutation induction requires an understanding and assessment of the appropriate mutagen dose required. The techniques of mutation induction, dose optimization, and TILLING are explained.

Endonucleolytic mutation analysis by internal labeling (EMAIL).

Mismatch-specific endonucleases are efficient tools for the targeted scanning of populations for subtle DNA variations. Conventional protocols involve 5'-labeled amplicon substrates and the detection of digestion products by LIF electrophoresis. A shortcoming of such protocols, however, is the limited 5'-signal strength. Normally the sensitivity of fluorescent DNA analyzers is superior to that of intercalating dye/agarose systems, however, pooling capacities of the former and latter approaches to mismatch scanning are somewhat similar. Detection is further limited by significant background. We investigated the activity of CEL nucleases using amplicon substrates labeled both internally and at each 5'-terminus. The amplicons were generated from exon 8 of the rice starch synthase IIa encoding gene. Signal of both 5'-labels was significantly reduced by enzyme activity, while that of the internal label was largely unaffected. In addition, background resulting from internal labeling was a significant improvement on that associated with 5'-labeling. Sizing of the multilabeled substrates suggests that 5'-modification enhances exonucleolytic activity, resulting in the removal of the dye-labeled terminal nucleotides. We have developed an alternative approach to mismatch detection, in which amplicon labeling is achieved via the incorporation of fluorescently labeled deoxynucleotides, which we have named Endonucleolytic Mutation Analysis by Internal Labeling (EMAIL). The strength of the EMAIL assay was demonstrated by the reclassification of a rice line as being heterozygous for the starch gene. This cultivar was assigned as being homozygous by a previous resequencing study. EMAIL shows potential for the clear identification of multiple mutations amongst allelic pools.

Domestication to crop improvement: genetic resources for Sorghum and Saccharum (Andropogoneae).

BACKGROUND: Both 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 RESOURCES: The 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.

cDNA microarray analysis of developing grape (Vitis vinifera cv. Shiraz) berry skin.

Microarray analysis of Vitis vinifera cv. Shiraz developing berries has revealed the expression patterns of several categories of genes. Microarray slides were constructed from 4,608 PCR-amplified cDNA clones derived from a ripening grape berry cDNA library. The mRNA expression levels of the genes represented by these cDNAs were measured in flowers, week 2 post-flowering whole berries, week 5, week 8, week 10 (véraison, green berries), week 12 and week 13 berry skin. In addition, a comparison of RNA expression in pigmented and unpigmented berry skin at véraison (week 10) was undertaken. Image and statistical analysis revealed four sets of genes with distinctive and similar expression profiles over the course of berry development. The first set was composed of genes which had maximum RNA expression in flowers, followed by a steady decrease in expression. The most prominent group within this set were genes which have a role in photosynthesis. The second set of cDNAs was dominated by genes involved in flavonoid biosynthesis and had a peak of expression week 2 post-flowering. The data indicate co-ordinate regulation of flavonoid biosynthetic genes which code for the enzymes 4-coumarate-CoA ligase, chalcone synthase, chalcone isomerase, flavonone hydroxylase, anthocyanidin reductase and cytochrome b5. The third set of cDNAs exhibited maximum expression week 5 post-flowering, midway between flowering and véraison, a period of rapid berry growth. This set of cDNAs is dominated by genes which code for structural cell wall proteins. The fourth set of genes was dramatically up-regulated at véraison and remained up-regulated until 13 weeks post-flowering. This set of genes was composed of a diverse range of genes, a reflection of the complexity of ripening, most with no known function.