Oaks are an important part of our natural and cultural heritage. Not only are they ubiquitous in our most common landscapes but they have also supplied human societies with invaluable services, including food and shelter, since prehistoric times. With 450 species spread throughout Asia, Europe and America, oaks constitute a critical global renewable resource. The longevity of oaks (several hundred years) probably underlies their emblematic cultural and historical importance. Such long-lived sessile organisms must persist in the face of a wide range of abiotic and biotic threats over their lifespans. We investigated the genomic features associated with such a long lifespan by sequencing, assembling and annotating the oak genome. We then used the growing number of whole-genome sequences for plants (including tree and herbaceous species) to investigate the parallel evolution of genomic characteristics potentially underpinning tree longevity. A further consequence of the long lifespan of trees is their accumulation of somatic mutations during mitotic divisions of stem cells present in the shoot apical meristems. Empirical and modelling approaches have shown that intra-organismal genetic heterogeneity can be selected for and provides direct fitness benefits in the arms race with short-lived pests and pathogens through a patchwork of intra-organismal phenotypes. However, there is no clear proof that large-statured trees consist of a genetic mosaic of clonally distinct cell lineages within and between branches. Through this case study of oak, we demonstrate the accumulation and transmission of somatic mutations and the expansion of disease-resistance gene families in trees.

Genomic selection - the prediction of breeding values using DNA polymorphisms - is a disruptive method that has widely been adopted by animal and plant breeders to increase productivity. It was recently shown that other sources of molecular variations such as those resulting from transcripts or metabolites could be used to accurately predict complex traits. These endophenotypes have the advantage of capturing the expressed genotypes and consequently the complex regulatory networks that occur in the different layers between the genome and the phenotype. However, obtaining such omics data at very large scales, such as those typically experienced in breeding, remains challenging. As an alternative, we proposed using near-infrared spectroscopy (NIRS) as a high-throughput, low cost and non-destructive tool to indirectly capture endophenotypic variants and compute relationship matrices for predicting complex traits, and coined this new approach ”phenomic selection” (PS). We tested PS on two species of economic interest (Triticum aestivum L. and Populus nigra L.) using NIRS on various tissues (grains, leaves, wood). We showed that one could reach predictions as accurate as with molecular markers, for developmental, tolerance and productivity traits, even in environments radically different from the one in which NIRS were collected. Our work constitutes a proof of concept and provides new perspectives for the breeding community, as PS is theoretically applicable to any organism at low cost and does not require any molecular information.

Summary• In order to elucidate the genetic control of resistance to Melampsora laricipopulina leaf rust in hybrid poplars, a Populus deltoides × P. trichocarpa F 1 progeny was analysed for qualitative and quantitative rust resistances.• This progeny was evaluated for three components of quantitative resistance (latent period, uredinia number and uredinia size) to seven M. larici-populina strains in controlled conditions, and for one component of field susceptibility (rust colonization on the most infected leaf).• One qualitative resistance locus inherited from P. deltoides , R 1 , was localized on the genetic map. It segregates 1 : 1 in the F 1 progeny and is effective against four of the studied strains. QTL analysis was performed separately on R 1 and r 1 genotype subsets. An additional detection was conducted on the entire F 1 progeny for the three strains able to overcome R 1 and for MAX2. A total of nine QTLs were detected. Two had large, broad-spectrum effects. One ( R US ) is inherited from the P. trichocarpa parent; the other is inherited from P. deltoides and colocalized with R 1 . Seven QTLs had only limited and specific effects. Significant interaction effects were detected mainly between the two major QTLs.• Implications of these results for durable resistance breeding strategies, and possible benefits from the Populus genome sequence, are discussed.

The 1.5 Gbp/2C genome of pedunculate oak (Quercus robur) has been sequenced. A strategy was established for dealing with the challenges imposed by the sequencing of such a large, complex and highly heterozygous genome by a whole-genome shotgun (WGS) approach, without the use of costly and time-consuming methods, such as fosmid or BAC clone-based hierarchical sequencing methods. The sequencing strategy combined short and long reads. Over 49 million reads provided by Roche 454 GS-FLX technology were assembled into contigs and combined with shorter Illumina sequence reads from paired-end and mate-pair libraries of different insert sizes, to build scaffolds. Errors were corrected and gaps filled with Illumina paired-end reads and contaminants detected, resulting in a total of 17,910 scaffolds (>2 kb) corresponding to 1.34 Gb. Fifty per cent of the assembly was accounted for by 1468 scaffolds (N50 of 260 kb). Initial comparison with the phylogenetically related Prunus persica gene model indicated that genes for 84.6% of the proteins present in peach (mean protein coverage of 90.5%) were present in our assembly. The second and third steps in this project are genome annotation and the assignment of scaffolds to the oak genetic linkage map. In accordance with the Bermuda and Fort Lauderdale agreements and the more recent Toronto Statement, the oak genome data have been released into public sequence repositories in advance of publication. In this presubmission paper, the oak genome consortium describes its principal lines of work and future directions for analyses of the nature, function and evolution of the oak genome.

Many recent studies have emphasized the important role of structural variation (SV) in determining human genetic and phenotypic variation. In plants, studies aimed at elucidating the extent of SV are still in their infancy. Evidence has indicated a high presence and an active role of SV in driving plant genome evolution in different plant species.With the aim of characterizing the size and the composition of the poplar pan-genome, we performed a genome-wide analysis of structural variation in three intercrossable poplar species: Populus nigra, Populus deltoides, and Populus trichocarpa. We detected a total of 7,889 deletions and 10,586 insertions relative to the P. trichocarpa reference genome, covering respectively 33.2 Mb and 62.9 Mb of genomic sequence, and 3,230 genes affected by copy number variation (CNV). The majority of the detected variants are inter-specific in agreement with a recent origin following separation of species.Insertions and deletions (INDELs) were preferentially located in low-gene density regions of the poplar genome and were, for the majority, associated with the activity of transposable elements. Genes affected by SV showed lower-than-average expression levels and higher levels of dN/dS, suggesting that they are subject to relaxed selective pressure or correspond to pseudogenes.Functional annotation of genes affected by INDELs showed over-representation of categories associated with transposable elements activity, while genes affected by genic CNVs showed enrichment in categories related to resistance to stress and pathogens. This study provides a genome-wide catalogue of SV and the first insight on functional and structural properties of the poplar pan-genome.

SummaryThe analysis of the complex genome of common wheat (Triticum aestivum, 2n ¼ 6x ¼ 42, genome formula AABBDD) is hampered by its large size ($17 000 Mbp) and allohexaploid nature. In order to simplify its analysis, we developed a generic strategy for dissecting such large and complex genomes into individual chromosomes. Chromosome 3B was successfully sorted by flow cytometry and cloned into a bacterial artificial chromosome (BAC), using only 1.8 million chromosomes and an adapted protocol developed for this purpose. The BAC library (designated as TA-3B) consists of 67 968 clones with an average insert size of 103 kb. It represents 6.2 equivalents of chromosome 3B with 100% coverage and 90% specificity as confirmed by genetic markers. This method was validated using other chromosomes and its broad application and usefulness in facilitating wheat genome analysis were demonstrated by target characterization of the chromosome 3B structure through cytogenetic mapping. This report on the successful cloning of flow-sorted chromosomes into BACs marks the integration of flow cytogenetics and genomics and represents a great leap forward in genetics and genomic analysis.

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Genomic selection -the prediction of breeding values using DNA polymorphisms -is a disruptive method that has widely been adopted by animal and plant breeders to increase productivity. It was recently shown that other sources of molecular variations such as those resulting from transcripts or metabolites could be used to accurately predict complex traits. These endophenotypes have the advantage of capturing the expressed genotypes and consequently the complex regulatory networks that occur in the different layers between the genome and the phenotype. However, obtaining such omics data at very large scales, such as those typically experienced in breeding, remains challenging. As an alternative, we proposed using near-infrared spectroscopy (NIRS) as a high-throughput, low cost and nondestructive tool to indirectly capture endophenotypic variants and compute relationship matrices for predicting complex traits and coined this new approach "phenomic selection" (PS). We tested PS on two species of economic interest (Triticum aestivum L. and Populus nigra L.) using NIRS on various tissues (grains, leaves, wood). We showed that one could reach predictions as accurate as with molecular markers, for developmental, tolerance and productivity traits, even in environments radically different from the one in which NIRS were collected. Our work constitutes a proof of concept and provides new perspectives for the breeding community, as PS is theoretically applicable to any organism at low cost and does not require any molecular information. ARTICLE SUMMARY:Despite its widely adopted interest in breeding, genomic selection -the prediction of breeding values using DNA polymorphisms -remains difficult to implement for many species because of genotyping costs. As an alternative or complement depending on the context, we propose "phenomic selection" (PS) as the use of low-cost and high-throughput phenotypic RUNNING TITLE:The concept of phenomic selection