Sequencing the yeast genome: an international achievement

Designing and interpreting 'multi-omic' experiments that may change our understanding of biology

Most biological mechanisms involve more than one type of biomolecule, and hence operate not solely at the level of either genome, transcriptome, proteome, metabolome or ionome. Datasets resulting from single-omic analysis are rapidly increasing in throughput and quality, rendering multi-omic studies feasible. These should offer a comprehensive, structured and interactive overview of a biological mechanism. However, combining single-omic datasets in a meaningful manner has so far proved challenging, and the discovery of new biological information lags behind expectation. One reason is that experiments conducted in different laboratories can typically not to be combined without restriction. Second, the interpretation of multi-omic datasets represents a significant challenge by nature, as the biological datasets are heterogeneous not only for technical, but also for biological, chemical, and physical reasons. Here, multi-layer network theory and methods of artificial intelligence might contribute to solve these problems. For the efficient application of machine learning however, biological datasets need to become more systematic, more precise - and much larger. We conclude our review with basic guidelines for the successful set-up of a multi-omic experiment.

Maximizing Power in Phylogenetics and Phylogenomics: A Perspective Illuminated by Fungal Big Data

Since its original inception over 150 years ago by Darwin, we have made tremendous progress toward the reconstruction of the Tree of Life. In particular, the transition from analyzing datasets comprised of small numbers of loci to those comprised of hundreds of loci, if not entire genomes, has aided in resolving some of the most vexing of evolutionary problems while giving us a new perspective on biodiversity. Correspondingly, phylogenetic trees have taken a central role in fields that span ecology, conservation, and medicine. However, the rise of big data has also presented phylogenomicists with a new set of challenges to experimental design, quantitative analyses, and computation. The sequencing of a number of very first genomes presented significant challenges to phylogenetic inference, leading fungal phylogenomicists to begin addressing pitfalls and postulating solutions to the issues that arise from genome-scale analyses relevant to any lineage across the Tree of Life. Here we highlight insights from fungal phylogenomics for topics including systematics and species delimitation, ecological and phenotypic diversification, and biogeography while providing an overview of progress made on the reconstruction of the fungal Tree of Life. Finally, we provide a review of considerations to phylogenomic experimental design for robust tree inference. We hope that this special issue of Advances in Genetics not only excites the continued progress of fungal evolutionary biology but also motivates the interdisciplinary development of new theory and methods designed to maximize the power of genomic scale data in phylogenetic analyses.

Quality not quantity: the pufferfish genome

The genome of the pufferfish, Fugu rubripes (Fugu) is compact. With a similar gene complement to mammals and a genome size of just 400 Mb, gene density is high averaging one every 6-7 kb. Initial characterization of this genome has shown that although genes are much smaller and more densely spaced, their intron/exon structure is conserved with the resulting introns being small. There is little repetitive DNA in the genome and this greatly facilitates comparative genomic studies. The coding content of genes is highly conserved as are critical regulatory elements of some genes. Other DNA is not, however, and this allows the identification of homologous coding sequence between Fugu and mammalian genes. Although the genome of Fugu is 7.5 times smaller than the human genome, not all genes are reduced proportionately. Some regions of the genome show conserved synteny with mammalian genomes, although at the present time only short physical distances have been examined. The structure of the genome is also being studied. Initial data suggest that this may be different to that found in mammals. It is not clear that the same kind of isochore structure is present in this early vertebrate genome. Patterns of methylation may be different resulting in a different distribution of CpG islands. An attempt is being made to centralize both resources and data from the genome of Fugu so that everything may be integrated into a single, publicly accessible database which in turn, may be integrated with databases from other organisms.

A putative helicase, the SUA5, PMR1, tRNALys1 genes and four open reading frames have been detected in the DNA sequence of an 8.8 kb fragment of the left arm of chromosome VII of Saccharomyces cerevisiae

We report the sequence of an 8.8 kb segment of DNA from the left arm of chromosome VII of Saccharomyces cerevisiae. The sequence reveals seven open reading frames (ORFs) G1651, G1654, G1660, G1663, G1666, G1667 and G1669 greater than 100 amino acids in length and the tRNALys1 gene. ORF G1651 shows 100% identity with the ROK1 protein which is a putative RNA helicase of the 'DEAD box' protein family. ORF G1654 exhibits a motif highly conserved in ATP/GTP binding proteins generally referred to as 'P-loop'. From FastA analysis, G1660 and G1666 were found to be previously sequenced genes, respectively SUA5 and PMR1. The three other ORFs identified are partially (G1663) or completely (G1667 and G1669) overlapping with the PMR1 sequence on the complementary strand. This feature, together with their low codon adaptation indexes and the absence of significant homology with known proteins suggest that they do not correspond to real genes.

Modification of biochemical pathways in industrial yeasts

Yeasts have many applications in industrial food and beverage production. While these uses are often of ancient origin, modern demands for control of the amounts of process-derived compounds and for cost-effective processing can make it desirable to modify metabolic pathways of production yeasts. While the genetics of standard laboratory strains of Saccharomyces cerevisiae are well described, industrial strains and species are less characterized, and many of them have a complicated genetic constitution. Nevertheless, their biochemical pathways can be modified, and the knowledge becoming available on the physiology of genetic reference strains of S. cerevisiae is a great help in directing the modifications of the industrial yeasts towards practical goals.

The yeast genome project: what did we learn?

The bakers' yeast, Saccharomyces cerevisiae, a microorganism of major importance for bioindustries, and one of the favored model organisms for basic biological research, is the first eukaryote whose genome is entirely sequenced. Beyond the wealth of novel biological information, it is the extent of what remains to be understood in the genome of a simple unicellular organism that is the most striking result: a significant proportion of yeast genes are orphans of unpredictable function. Offering the possibility of large-scale reverse genetics, yeast will be a powerful model for post-sequencing studies. But geneticists are now faced with the difficulty of asking novel questions.

Sequencing the 500-kb GC-rich symbiotic replicon of Rhizobium sp. NGR234 using dye terminators and a thermostable "sequenase": a beginning

Genomes of the soil-borne nitrogen-fixing symbionts of legumes [Azo(Brady)Rhizobium species] typically have GC contents of 59-65 mol%. As a consequence, compressions (up to 400 per cosmid) are common using automated dye primer shotgun sequencing methods. To overcome this difficulty, we have exclusively applied dye terminators in combination with a thermostable "sequenase" for shotgun sequencing GC-rich cosmids from pNGR234a, the 500-kbp symbiotic replicon of Rhizobium sp. NGR234. A thermostable sequenase incorporates dye terminators into DNA more efficiently than Taq DNA polymerase, thus reducing the concentrations needed (20- to 250-fold). Unincorporated dye terminators can simply be removed by ethanol precipitation. Here, we present data of pXB296, one of 23 overlapping cosmids representing pNGR234a. We demonstrate that the greatly reduced number of compressions results in a much faster assembly of cosmid sequence data by comparing assembly of the shotgun data from pXB296 and the data from another pNGR234a cosmid (pXB110) sequenced using dye primer methods. Within the 34,010-bp sequence from pXB296, 28 coding regions were predicted. All of them showed significant homologies to known proteins, including oligopeptide permeases, an essential cluster for nitrogen fixation, and the C4-dicarboxylate transporter DctA.

Whole-genome random sequencing and assembly of Haemophilus influenzae Rd

An approach for genome analysis based on sequencing and assembly of unselected pieces of DNA from the whole chromosome has been applied to obtain the complete nucleotide sequence (1,830,137 base pairs) of the genome from the bacterium Haemophilus influenzae Rd. This approach eliminates the need for initial mapping efforts and is therefore applicable to the vast array of microbial species for which genome maps are unavailable. The H. influenzae Rd genome sequence (Genome Sequence DataBase accession number L42023) represents the only complete genome sequence from a free-living organism.