Author contributions DCJ coordinated all analyses, isolated DNA for sequencing, analysed and filtered SNP calls, conducted diversity analysis and GWAS and drafted the manuscript. CR produced phenotype data for growth on various solid media and growth rates in liquid media. AR conducted analysis of dating using mitochondrial data. DS conducted GWAS. MP analysed all phenotype data. TM identified LTR transposon insertions and analysed transposon insertion data. FXM conducted crosses for analysis of spore viability ZI produced indel calls with Cortex. WL conducted analysis of recombination rate, linkage disequilibrium decay and PCA for distance between strains. TMKC assisted with phenotype and population analysis. RP analysed Cortex and GATK indel calls. MM conducted amino acid profiling. JLDL and AC produced automated measures of cell morphology. SB aligned reads and produced GATK SNP calls. GH analysed population structure using fineSTRUCTURE. BO'F estimated the TMRCA from the nuclear genome using ACG. TK identified LTR transposon insertions JTS produced de novo assemblies. LB developed the custom Workspace workflow Spotsizer. BT assisted with sequence analysis. DAB assisted with analysis of novel genes. TS assisted with strain verification. SC produced images of wild strains and assisted with strain verification. JEEUH assisted with SNP validation. LvT and MT assisted with LTR validation. LJ and JL assisted with manual measures of cell morphology and FACS. SA produced gene expression data. MF, KM and ND assisted with sequencing. WB initiated and assisted with strain collection. JH coordinated manual measures of cell morphology and FACS. RECS coordinated automated measures of cell morphology. MR coordinated amino acid profiling. NM conducted analysis of recombination, linkage disequilibrium and advised on aspects of diversity and GWAS. DJB advised on GWAS. RD facilitated sequencing. JB contributed to the initiation and development of the project and financed the JB laboratory. AccessionsSequence data are archived in the European Nucleotide Archive (www.ebi.ac.uk/ena/), Study Accessions PRJEB2733 and PRJEB6284 (Supplementary Table 7). All SNPs and indels were submitted to NCBI dbSNP (www.ncbi.nlm.nih.gov/SNP/). Accessions are 974514578-974688138 (SNPs) and 974702618-974688139 (indels). Europe PMC Funders Group AbstractNatural variation within species reveals aspects of genome evolution and function. The fission yeast Schizosaccharomyces pombe is an important model for eukaryotic biology, but researchers typically use one standard laboratory strain. To extend the utility of this model, we surveyed the genomic and phenotypic variation in 161 natural isolates. We sequenced the genomes of all strains, revealing moderate genetic diversity (π = 3 ×10 −3 ) and weak global population structure. We estimate that dispersal of S. pombe began within human antiquity (~340 BCE), and ancestors of these strains reached the Americas at ~1623 CE. We quantified 74 traits, revealing substantial heritable phenotypic diversity. We cond...

The Orthologous Matrix (OMA) project is a method and associated database inferring evolutionary relationships amongst currently 1706 complete proteomes (i.e. the protein sequence associated for every protein-coding gene in all genomes). In this update article, we present six major new developments in OMA: (i) a new web interface; (ii) Gene Ontology function predictions as part of the OMA pipeline; (iii) better support for plant genomes and in particular homeologs in the wheat genome; (iv) a new synteny viewer providing the genomic context of orthologs; (v) statically computed hierarchical orthologous groups subsets downloadable in OrthoXML format; and (vi) possibility to export parts of the all-against-all computations and to combine them with custom data for ‘client-side’ orthology prediction. OMA can be accessed through the OMA Browser and various programmatic interfaces at http://omabrowser.org.

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