Microcollinearity in an ethylene receptor coding gene region of the Coffea canephora genome is extensively conserved with Vitis vinifera and other distant dicotyledonous sequenced genomes

Background: Coffea canephora, also called Robusta, belongs to the Rubiaceae, the fourth largest angiosperm family. This diploid species (2x = 2n = 22) has a fairly small genome size of approximate to 690 Mb and despite its extreme economic importance, particularly for developing countries, knowledge on the genome composition, structure and evolution remain very limited. Here, we report the 160 kb of the first C. canephora Bacterial Artificial Chromosome (BAC) clone ever sequenced and its fine analysis. Results: This clone contains the CcEIN4 gene, encoding an ethylene receptor, and twenty other predicted genes showing a high gene density of one gene per 7.8 kb. Most of them display perfect matches with C. canephora expressed sequence tags or show transcriptional activities through PCR amplifications on cDNA libraries. Twenty-three transposable elements, mainly Class II transposon derivatives, were identified at this locus. Most of these Class II elements are Miniature Inverted-repeat Transposable Elements (MITE) known to be closely associated with plant genes. This BAC composition gives a pattern similar to those found in gene rich regions of Solanum lycopersicum and Medicago truncatula genomes indicating that the CcEIN4 regions may belong to a gene rich region in the C. canephora genome. Comparative sequence analysis indicated an extensive conservation between C. canephora and most of the reference dicotyledonous genomes studied in this work, such as tomato (S. lycopersicum), grapevine (V. vinifera), barrel medic M. truncatula, black cottonwood (Populus trichocarpa) and Arabidopsis thaliana. The higher degree of microcollinearity was found between C. canephora and V. vinifera, which belong respectively to the Asterids and Rosids, two clades that diverged more than 114 million years ago. Conclusion: This study provides a first glimpse of C. canephora genome composition and evolution. Our data revealed a remarkable conservation of the microcollinearity between C. canephora and V. vinifera and a high conservation with other distant dicotyledonous reference genomes. Altogether, these results provide valuable information to identify candidate genes in C. canephora genome and serve as a foundation to establish strategies for whole genome sequencing. Future large-scale sequence comparison between C. canephora and reference sequenced genomes will help in understanding the evolutionary history of dicotyledonous plants

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

<p>Abstract</p> <p>Background</p> <p>In the past few years, functional genomics information has been rapidly accumulating on Rubiaceae species and especially on those belonging to the <it>Coffea </it>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.</p> <p>Description</p> <p>MoccaDB 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 <it>Coffea </it>species/hybrids. Microsatellite markers were checked for similarity, <it>in vitro </it>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).</p> <p>Conclusion</p> <p>We 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.</p

A genome‐wide analysis suggests pleiotropic effects of Green Revolution genes on shade avoidance in wheat

International audienceA classic example of phenotypic plasticity in plants is the suit of phenotypic responses induced by a change in the ratio of red to far-red light (R : FR) as a result of shading, also known as the shade avoidance syndrome (SAS). While the adaptive consequences of this syndrome have been extensively discussed in natural ecosystems, how SAS varies within crop populations and how SAS evolved during crop domestication and breeding remain poorly known. In this study, we grew a panel of 180 durum wheat (Triticum turgidum ssp. durum) genotypes spanning diversity from wild, early domesticated, and elite genetic compartments under two light treatments: low R:FR light (shaded treatment) and high R:FR light (unshaded treatment). We first quantified the genetic variability of SAS, here measured as a change in plant height at the seedling stage. We then dissected the genetic basis of this variation through genome-wide association mapping. Genotypes grown in shaded conditions were taller than those grown under unshaded conditions. Interaction between light quality and genotype did not affect plant height. We found six QTLs affecting plant height. Three significantly interacted with light quality among which the well-known Rht1 gene introgressed in elite germplasm during the Green Revolution. Interestingly at three loci, short genotypes systematically expressed reduced SAS, suggesting a positive genetic correlation between plant height and plant height plasticity. Overall, our study sheds light on the evolutionary history of crops and illustrates the relevance of genetic approaches to tackle agricultural challenges

Genotyping by Sequencing Using Specific Allelic Capture to Build a High-Density Genetic Map of Durum Wheat.

Targeted sequence capture is a promising technology which helps reduce costs for sequencing and genotyping numerous genomic regions in large sets of individuals. Bait sequences are designed to capture specific alleles previously discovered in parents or reference populations. We studied a set of 135 RILs originating from a cross between an emmer cultivar (Dic2) and a recent durum elite cultivar (Silur). Six thousand sequence baits were designed to target Dic2 vs. Silur polymorphisms discovered in a previous RNAseq study. These baits were exposed to genomic DNA of the RIL population. Eighty percent of the targeted SNPs were recovered, 65% of which were of high quality and coverage. The final high density genetic map consisted of more than 3,000 markers, whose genetic and physical mapping were consistent with those obtained with large arrays

Microcollinearity in an ethylene receptor coding gene region of the <it>Coffea canephora </it>genome is extensively conserved with <it>Vitis vinifera </it>and other distant dicotyledonous sequenced genomes

Abstract Background Coffea canephora, also called Robusta, belongs to the Rubiaceae, the fourth largest angiosperm family. This diploid species (2x = 2n = 22) has a fairly small genome size of ≈ 690 Mb and despite its extreme economic importance, particularly for developing countries, knowledge on the genome composition, structure and evolution remain very limited. Here, we report the 160 kb of the first C. canephora Bacterial Artificial Chromosome (BAC) clone ever sequenced and its fine analysis. Results This clone contains the CcEIN4 gene, encoding an ethylene receptor, and twenty other predicted genes showing a high gene density of one gene per 7.8 kb. Most of them display perfect matches with C. canephora expressed sequence tags or show transcriptional activities through PCR amplifications on cDNA libraries. Twenty-three transposable elements, mainly Class II transposon derivatives, were identified at this locus. Most of these Class II elements are Miniature Inverted-repeat Transposable Elements (MITE) known to be closely associated with plant genes. This BAC composition gives a pattern similar to those found in gene rich regions of Solanum lycopersicum and Medicago truncatula genomes indicating that the CcEIN4 regions may belong to a gene rich region in the C. canephora genome. Comparative sequence analysis indicated an extensive conservation between C. canephora and most of the reference dicotyledonous genomes studied in this work, such as tomato (S. lycopersicum), grapevine (V. vinifera), barrel medic M. truncatula, black cottonwood (Populus trichocarpa) and Arabidopsis thaliana. The higher degree of microcollinearity was found between C. canephora and V. vinifera, which belong respectively to the Asterids and Rosids, two clades that diverged more than 114 million years ago. Conclusion This study provides a first glimpse of C. canephora genome composition and evolution. Our data revealed a remarkable conservation of the microcollinearity between C. canephora and V. vinifera and a high conservation with other distant dicotyledonous reference genomes. Altogether, these results provide valuable information to identify candidate genes in C. canephora genome and serve as a foundation to establish strategies for whole genome sequencing. Future large-scale sequence comparison between C. canephora and reference sequenced genomes will help in understanding the evolutionary history of dicotyledonous plants.</p

Epistatic determinism of durum wheat resistance to the wheat spindle streak mosaic virus

UMR AGAP : équipe GE2popUMR BGPI : équipe 6KEY MESSAGE: The resistance of durum wheat to the Wheat spindle streak mosaic virus (WSSMV) is controlled by two main QTLs on chromosomes 7A and 7B, with a huge epistatic effect. Wheat spindle streak mosaic virus (WSSMV) is a major disease of durum wheat in Europe and North America. Breeding WSSMV-resistant cultivars is currently the only way to control the virus since no treatment is available. This paper reports studies of the inheritance of WSSMV resistance using two related durum wheat populations obtained by crossing two elite cultivars with a WSSMV-resistant emmer cultivar. In 2012 and 2015, 354 recombinant inbred lines (RIL) were phenotyped using visual notations, ELISA and qPCR and genotyped using locus targeted capture and sequencing. This allowed us to build a consensus genetic map of 8568 markers and identify three chromosomal regions involved in WSSMV resistance. Two major regions (located on chromosomes 7A and 7B) jointly explain, on the basis of epistatic interactions, up to 43% of the phenotypic variation. Flanking sequences of our genetic markers are provided to facilitate future marker-assisted selection of WSSMV-resistant cultivars

Polymorphisms available for bait design.

<p>Polymorphisms available for bait design.</p

Correlations between putative physical and genetic positions.

<p>The 14 durum wheat chromosomes are shown separately, with the putative physical position on the X-axis (bp) and the genetic position on the Y-axis (cM). The chromosome name is given at the top left of each plot. The number of markers is given in brackets. A red line represents the fitted polynomial model and a grey area represents the 95% confidence interval. The two vertical grey lines are maximum and minimum values of the physical positions.</p

Efficiency of the genotyping by capture protocol.

<p>Efficiency of the genotyping by capture protocol.</p

Features of the DS durum wheat genetic map.

<p>Features of the DS durum wheat genetic map.</p