Christine Tranchant-Dubreuil

The coffee genome provides insight into the convergent evolution of caffeine biosynthesis

Coffee, tea, and chocolate converge Caffeine has evolved multiple times among plant species, but no one knows whether these events involved similar genes. Denoeud et al. sequenced the Coffea canephora (coffee) genome and identified a conserved gene order (see the Perspective by Zamir). Although this species underwent fewer genome duplications than related species, the relevant caffeine genes experienced tandem duplications that expanded their numbers within this species. Scientists have seen similar but independent expansions in distantly related species of tea and cacao, suggesting that caffeine might have played an adaptive role in coffee evolution. Science, this issue p. 1181; see also p. 1124 The genetic origins of coffee’s constituents reveal intriguing links to cacao and tea. Coffee is a valuable beverage crop due to its characteristic flavor, aroma, and the stimulating effects of caffeine. We generated a high-quality draft genome of the species Coffea canephora, which displays a conserved chromosomal gene order among asterid angiosperms. Although it shows no sign of the whole-genome triplication identified in Solanaceae species such as tomato, the genome includes several species-specific gene family expansions, among them N-methyltransferases (NMTs) involved in caffeine production, defense-related genes, and alkaloid and flavonoid enzymes involved in secondary compound synthesis. Comparative analyses of caffeine NMTs demonstrate that these genes expanded through sequential tandem duplications independently of genes from cacao and tea, suggesting that caffeine in eudicots is of polyphyletic origin.

Phylogeography and niche modelling of the relict plant Amborella trichopoda (Amborellaceae) reveal multiple Pleistocene refugia in New Caledonia

Amborella trichopoda Baill. (Amborellaceae, Amborellales), the sole living member of the sister group to all other extant angiosperms, is endemic to New Caledonia. We addressed the intraspecific phylogeography of Amborella by investigating whether its present population genetic structure could be related to its current and past habitats. We found moderate range‐wide genetic diversity based on nuclear microsatellite data and detected four well‐differentiated, geographically distinct genetic groups using Bayesian clustering analyses. We modelled the ecological niche of Amborella based on the current climatic and environmental conditions. The predictive ability of the model was very good throughout the Central East mainland zone, but Amborella was predicted in the northern part of the island where this plant has not been reported. Furthermore, no significant barrier was detected based on habitat suitability that could explain the genetic differentiation across the area. Conversely, we found that the main genetic clusters could be related to the distribution of the suitable habitat at the last glacial maximum (LGM, c. 21 000 years BP), when Amborella experienced a dramatic 96.5% reduction in suitable area. At least two lineages survived in distinct putative refugia located in the Massif des Lèvres and in the vicinity of Mount Aoupinié. Our findings finally confirmed the importance of LGM rainforest refugia in shaping the current intra‐ and interspecific diversity in New Caledonian plants and revealed the possibility of an as yet unreported refugium. The combination of niche modelling and population genetics thereby offered novel insight into the biogeographical history of an emblematic taxon.

Advances in Coffea Genomics

Abstract Coffee is the second most valuable commodity exported by developing countries. The Coffea genus comprises over 103 species but coffee production uses only two species throughout the tropics: Coffea canephora, which is self-sterile and diploid and better known as Robusta, and C. arabica, which is self-fertile and tetraploid. With the arrival of new analytical technologies and the start of genome sequencing projects, it was clearly time to review the state of the art of coffee genetics and genomics. In the first part of this chapter, we present the main results concerning genetic diversity and phylogeny – the most advanced fields – based on large molecular marker sets, such as random amplified polymorphic DNAs (RAPDs), amplified fragment length polymorphisms (AFLPs), intersimple sequence repeat (ISSR), single sequence repeats (SSRs), or conserved orthologue set (COS), which are mainly polymerase chain reaction (PCR) based. These markers also enable the construction of genetic maps and the identification of quantitative trait loci (QTLs) for both morphological and biochemical traits. In the second part, after reviewing current knowledge on variation in coffee genome size and insights into cytogenetics, we focus on currently available genomic resources and web facilities. Large sets of expressed sequences tags (ESTs) and bacterial artificial chromosome (BAC) libraries for both C. canephora and C. arabica have been obtained along with information on genes and specific metabolic pathways. In the final section, we describe recently designed tools and their ultimate goal, which is to facilitate the sequencing, assembly and annotation of the first Coffea genome. We are at the gate of a new era of scientific approaches to coffee that should lead to a better understanding of phylogenetic relationships and genome evolution within the genus. Finally, taken together, this information should help develop improved varieties to meet the new challenges represented by ongoing radical changes in the environment.

The coffee genome hub: a resource for coffee genomes

The whole genome sequence of Coffea canephora, the perennial diploid species known as Robusta, has been recently released. In the context of the C. canephora genome sequencing project and to support post-genomics efforts, we developed the Coffee Genome Hub (http://coffee-genome.org/), an integrative genome information system that allows centralized access to genomics and genetics data and analysis tools to facilitate translational and applied research in coffee. We provide the complete genome sequence of C. canephora along with gene structure, gene product information, metabolism, gene families, transcriptomics, syntenic blocks, genetic markers and genetic maps. The hub relies on generic software (e.g. GMOD tools) for easy querying, visualizing and downloading research data. It includes a Genome Browser enhanced by a Community Annotation System, enabling the improvement of automatic gene annotation through an annotation editor. In addition, the hub aims at developing interoperability among other existing South Green tools managing coffee data (phylogenomics resources, SNPs) and/or supporting data analyses with the Galaxy workflow manager.

MoccaDB - an integrative database for functional, comparative and diversity studies in the Rubiaceae family.

BackgroundIn the past few years, functional genomics information has been rapidly accumulating on Rubiaceae species and especially on those belonging to the Coffea genus (coffee trees). An increasing number of expressed sequence tag (EST) data and EST- or genomic-derived microsatellite markers have been generated, together with Conserved Ortholog Set (COS) markers. This considerably facilitates comparative genomics or map-based genetic studies through the common use of orthologous loci across different species. Similar genomic information is available for e.g. tomato or potato, members of the Solanaceae family. Since both Rubiaceae and Solanaceae belong to the Euasterids I (lamiids) integration of information on genetic markers would be possible and lead to more efficient analyses and discovery of key loci involved in important traits such as fruit development, quality, and maturation, or adaptation. Our goal was to develop a comprehensive web data source for integrated information on validated orthologous markers in Rubiaceae.DescriptionMoccaDB is an online MySQL-PHP driven relational database that houses annotated and/or mapped microsatellite markers in Rubiaceae. In its current release, the database stores 638 markers that have been defined on 259 ESTs and 379 genomic sequences. Marker information was retrieved from 11 published works, and completed with original data on 132 microsatellite markers validated in our laboratory. DNA sequences were derived from three Coffea species/hybrids. Microsatellite markers were checked for similarity, in vitro tested for cross-amplification and diversity/polymorphism status in up to 38 Rubiaceae species belonging to the Cinchonoideae and Rubioideae subfamilies. Functional annotation was provided and some markers associated with described metabolic pathways were also integrated. Users can search the database for marker, sequence, map or diversity information through multi-option query forms. The retrieved data can be browsed and downloaded, along with protocols used, using a standard web browser. MoccaDB also integrates bioinformatics tools (CMap viewer and local BLAST) and hyperlinks to related external data sources (NCBI GenBank and PubMed, SOL Genomic Network database).ConclusionWe believe that MoccaDB will be extremely useful for all researchers working in the areas of comparative and functional genomics and molecular evolution, in general, and population analysis and association mapping of Rubiaceae and Solanaceae species, in particular.

Ancestral synteny shared between distantly-related plant species from the asterid (Coffea canephora and Solanum Sp.) and rosid (Vitis vinifera) clades

BackgroundCoffee trees (Rubiaceae) and tomato (Solanaceae) belong to the Asterid clade, while grapevine (Vitaceae) belongs to the Rosid clade. Coffee and tomato separated from grapevine 125 million years ago, while coffee and tomato diverged 83-89 million years ago. These long periods of divergent evolution should have permitted the genomes to reorganize significantly. So far, very few comparative mappings have been performed between very distantly related species belonging to different clades. We report the first multiple comparison between species from Asterid and Rosid clades, to examine both macro-and microsynteny relationships.ResultsThanks to a set of 867 COSII markers, macrosynteny was detected between coffee, tomato and grapevine. While coffee and tomato genomes share 318 orthologous markers and 27 conserved syntenic segments (CSSs), coffee and grapevine also share a similar number of syntenic markers and CSSs: 299 and 29 respectively. Despite large genome macrostructure reorganization, several large chromosome segments showed outstanding macrosynteny shedding new insights into chromosome evolution between Asterids and Rosids. We also analyzed a sequence of 174 kb containing the ovate gene, conserved in a syntenic block between coffee, tomato and grapevine that showed a high-level of microstructure conservation. A higher level of conservation was observed between coffee and grapevine, both woody and long life-cycle plants, than between coffee and tomato. Out of 16 coffee genes of this syntenic segment, 7 and 14 showed complete synteny between coffee and tomato or grapevine, respectively.ConclusionsThese results show that significant conservation is found between distantly related species from the Asterid (Coffea canephora and Solanum sp.) and Rosid (Vitis vinifera) clades, at the genome macrostructure and microstructure levels. At the ovate locus, conservation did not decline in relation to increasing phylogenetic distance, suggesting that the time factor alone does not explain divergences. Our results are considerably useful for syntenic studies between supposedly remote species for the isolation of important genes for agronomy.

De novo assemblies of three Oryza glaberrima accessions provide first insights about pan-genome of African rices

Oryza glaberrima is one of the two cultivated species of rice, and harbors various interesting agronomic traits, especially in biotic and abiotic resistance, compared with its Asian cousin O. sativa. A previous reference genome was published but newer studies highlighted some missing parts. Moreover, global species diversity is known nowadays to be represented by more than one single individual. For that purpose, we sequenced, assembled and annotated de novo three different cultivars from O. glaberrima. After validating our assemblies, we were able to better solve complex regions than the previous assembly and to provide a first insight in pan-genomic divergence between individuals. The three assemblies shown large common regions, but almost 25% of the genome present collinearity breakpoints or are even individual specific.

TOGGLE: toolbox for generic NGS analyses

BackgroundThe explosion of NGS (Next Generation Sequencing) sequence data requires a huge effort in Bioinformatics methods and analyses. The creation of dedicated, robust and reliable pipelines able to handle dozens of samples from raw FASTQ data to relevant biological data is a time-consuming task in all projects relying on NGS. To address this, we created a generic and modular toolbox for developing such pipelines.ResultsTOGGLE (TOolbox for Generic nGs anaLysEs) is a suite of tools able to design pipelines that manage large sets of NGS softwares and utilities. Moreover, TOGGLE offers an easy way to manipulate the various options of the different softwares through the pipelines in using a single basic configuration file, which can be changed for each assay without having to change the code itself. We also describe one implementation of TOGGLE in a complete analysis pipeline designed for SNP discovery for large sets of genomic data, ready to use in different environments (from a single machine to HPC clusters).ConclusionTOGGLE speeds up the creation of robust pipelines with reliable log tracking and data flow, for a large range of analyses. Moreover, it enables Biologists to concentrate on the biological relevance of results, and change the experimental conditions easily. The whole code and test data are available at https://github.com/SouthGreenPlatform/TOGGLE.

Microsatellite markers for Amborella (Amborellaceae), a monotypic genus endemic to New Caledonia

UNLABELLED PREMISE OF THE STUDY Informative markers are required for assessing the diversity of Amborella trichopoda, the only species of its order, endemic to New Caledonia and considered to be the sister species to all flowering plants. Therefore, expressed sequence tag (EST)-based microsatellite markers were developed. • METHODS AND RESULTS Fifty-five microsatellite loci were characterized in 14896 putative unigenes, which were generated by assembling A. trichopoda ESTs from the public sequence database. Seventeen markers revealed polymorphism in 80 adult shrubs from three populations. The number of alleles per locus ranged from two to 12, with a total of 132 alleles scored. The mean expected heterozygosity per population ranged from 0.336 to 0.567. • CONCLUSIONS These markers offer an appropriate amount of variation to investigate genetic diversity structure, gene flow, and other conservation issues.

LTRclassifier: A website for fast structural LTR retrotransposons classification in plants

ABSTRACT Automatic classification of LTR retrotransposons is a big challenge in the area of massive genomics. Many tools were developed to detect them but automatic classification is somehow challenging. Here we propose a simple approach, LTRclassifier, based on HMM recognition followed by BLAST analyses (i) to classify plant LTR retrotransposons in their respective superfamily, and (ii) to provide automatically a basic functional annotation of these elements. The method was tested on various TE databases, and shown to be robust and fast. This tool is available as a web service implemented at IRD bioinformatics facility, http://LTRclassifier.ird.fr/.