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

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Glutaredoxin regulation of primary root growth is associated with early drought stress tolerance in pearl millet

Seedling root traits impact plant establishment under challenging environments. Pearl millet is one of the most heat and drought tolerant cereal crops that provides a vital food source across the sub-Saharan Sahel region. Pearl millet’s early root system features a single fast-growing primary root which we hypothesize is an adaptation to the Sahelian climate. Using crop modeling, we demonstrate that early drought stress is an important constraint in agrosystems in the Sahel where pearl millet was domesticated. Furthermore, we show that increased pearl millet primary root growth is correlated with increased early water stress tolerance in field conditions. Genetics including genome-wide association study and quantitative trait loci (QTL) approaches identify genomic regions controlling this key root trait. Combining gene expression data, re-sequencing and re-annotation of one of these genomic regions identified a glutaredoxin-encoding gene PgGRXC9 as the candidate stress resilience root growth regulator. Functional characterization of its closest Arabidopsis homolog AtROXY19 revealed a novel role for this glutaredoxin (GRX) gene clade in regulating cell elongation. In summary, our study suggests a conserved function for GRX genes in conferring root cell elongation and enhancing resilience of pearl millet to its Sahelian environment

The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars.

Coffea arabica, an allotetraploid hybrid of Coffea eugenioides and Coffea canephora, is the source of approximately 60% of coffee products worldwide, and its cultivated accessions have undergone several population bottlenecks. We present chromosome-level assemblies of a di-haploid C. arabica accession and modern representatives of its diploid progenitors, C. eugenioides and C. canephora. The three species exhibit largely conserved genome structures between diploid parents and descendant subgenomes, with no obvious global subgenome dominance. We find evidence for a founding polyploidy event 350,000–610,000 years ago, followed by several pre-domestication bottlenecks, resulting in narrow genetic variation. A split between wild accessions and cultivar progenitors occurred ~30.5 thousand years ago, followed by a period of migration between the two populations. Analysis of modern varieties, including lines historically introgressed with C. canephora, highlights their breeding histories and loci that may contribute to pathogen resistance, laying the groundwork for future genomics-based breeding of C. arabica

Integration of Data Sources for Plant Genomics

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A new multiplex real-time PCR assay to improve the diagnosis of shellfish regulated parasites of the genus Marteilia and Bonamia

Aquaculture including shellfish production is an important food resource worldwide which is particularly vulnerable to infectious diseases. Marteilia refringens, Bonamia ostreae and Bonamia exitiosa are regulated protozoan parasites infecting flat oysters Ostrea edulis that are endemic in Europe. Although some PCR assays have been already developed for their detection, a formal validation to assess the performances of those tools is often lacking. In order to facilitate the diagnosis of flat oyster regulated diseases, we have developed and evaluated a new multiplex Taqman (R) PCR allowing the detection of both M. refringens and Bonamia sp. parasites in one step. First part of this work consisted in assessing analytical sensitivity and specificity of the new PCR assay. Then, diagnostic performances were assessed by testing a panel of field samples with the new real-time PCR and currently recommended conventional PCR methods for the detection of M. refringens and Bonamia sp. Samples were collected from the main flat oyster production sites in France (N = 386 for M. refringens and N = 349 for B. ostreae). In the absence of gold standard, diagnostic sensitivity and specificity of the new PCR were estimated through Bayesian latent class analysis (DSe 87,2% and DSp 98,4% for the detection M. refringens, DSe 77,5% and DSp 98,4% for the detection of Bonamia sp.). Those results suggest equivalent performances for the detection of Bonamia sp. and an improved sensitivity for the detection of M. refringens compared to commonly used conventional protocols. Finally, the new PCR was evaluated in the context of an inter-laboratory comparison study including 17 European laboratories. Results revealed a very good reproducibility with a global accordance (intralaboratory precision) >96% and a global concordance (inter-laboratory precision) >93% for both targets, demonstrating that this new tool is easily transferable to different laboratory settings. This is the first assay designed to detect both Marteilia refringens and Bonamia sp. in a single step and it should allow reducing the number of analysis to monitor both diseases, and where relevant to demonstrate freedom from infection

Molecular diversity and gene expression of cotton ERF transcription factors reveal that group IXa members are responsive to jasmonate, ethylene and Xanthomonas

Several ethylene-response factor (ERF) transcription factors are believed to play a crucial role in the activation of plant defence responses, but little is known about the relationships between the diversity of this family and the functions of groups or individual ERFs in this process. In this study, 200 ERF genes from the unigene cotton database were identified. Conserved amino acid residues and phylogeny reconstruction using the AP2 conserved domain suggest that the classification into 10 major groups used for Arabidopsis and rice is applicable to the cotton ERF family. Based on in silico studies, we predict that group IX ERF genes in cotton are involved in jasmonate (JA), ethylene (ET) and pathogen responses. To test this hypothesis, we analysed the transcript profiles of the group IXa subfamily in the regulation of specific resistance to Xanthomonas campestris pathovar malvacearum. The expression of four members of group IXa was induced on challenge with X. campestris pv. malvacearum. Furthermore, the expression of several ERF genes of group IXa was induced synergistically by JA in combination with ET, suggesting that the encoded ERF proteins may play key roles in the integration of both signals to activate JA- and ET-dependent responses

Micro-collinearity and genome evolution in the vicinity of an ethylene receptor gene of cultivated diploid and allotetraploid coffee species (Coffea)

Arabica coffee (Coffea arabica L.) is a self-compatible perennial allotetraploid species (2n = 4x = 44), whereas Robusta coffee (C. canephora L.) is a self-incompatible perennial diploid species (2n = 2x = 22). C. arabica ((CCEEa)-C-a-E-a-E-a) is derived from a spontaneous hybridization between two closely related diploid coffee species, C. canephora (CC) and C. eugenioides (EE). To investigate the patterns and degree of DNA sequence divergence between the Arabica and Robusta coffee genomes, we identified orthologous bacterial artificial chromosomes (BACs) from C. arabica and C. canephora, and compared their sequences to trace their evolutionary history. Although a high level of sequence similarity was found between BACs from C. arabica and C. canephora, numerous chromosomal rearrangements were detected, including inversions, deletions and insertions. DNA sequence identity between C. arabica and C. canephora orthologous BACs ranged from 93.4% (between E-a and C-a) to 94.6% (between C-a and C). Analysis of eight orthologous gene pairs resulted in estimated ages of divergence between 0.046 and 0.665 million years, indicating a recent origin of the allotetraploid species C. arabica. Analysis of transposable elements revealed differential insertion events that contributed to the size increase in the C-a sub-genome compared to its diploid relative. In particular, we showed that insertion of a Ty1-copia LTR retrotransposon occurred specifically in C. arabica, probably shortly after allopolyploid formation. The two sub-genomes of C. arabica, C-a and E-a, showed sufficient sequence differences, and a whole-genome shotgun approach could be suitable for sequencing the allotetraploid genome of C. arabica

TOGGLE : toolbox for generic NGS analyses

Background: The 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. Results: TOGGLE (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). Conclusion: TOGGLE 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