In silico identification of coffee genome expressed sequences potentially associated with resistance to diseases

Predicción bioinformática de proteínas NBS-LRR en el genoma de Coffea arabica

Gracias al acceso al genoma completo de Coffea arabica y el Desarrollo de multiples herramientas de bioinformartica que permite la búsqueda de genes de resistencia de plantas (R-genes), ha sido posible implementar estas estrategias en programas de mejora genética. En las plantas, los R-genes codifican proteínas involucradas en mecanismos de defensa contra patógenos. Los genes con dominios tipo Nucleotide-Binding-Site Leucine-Rich-Repeat (NBS-LRR) forman la familia de R-genes de plantas más grande. El objetivo de este estudio fue identificar genes de proteínas NBS-LRR en el genoma de C. arabica utilizando un enfoque bioinformático. Identificamos motivos conservados de R-genes de C. arabica relacionados con genes similares encontrados en Coffea canephora y Coffea eugenoides, dos especies evolutivas relacionadas con C. arabica. Los resultados de estos análisis revelaron proteínas con origen evolutivo provenientes de dicotiledóneo ancestrales, así como proteínas de resistencia específicas del género Coffea. Además, todas las secuencias de los R-genes de C. arabica mostraron una gran similitud con proteína CNL de Arabidopsis thaliana. Finalmente, la presencia de motivos altamente conservados, la distribución cromosómica y las relaciones filogenéticas de los R-genes de C. arabica muestran procesos de coevolución con patógenos adaptados, demostrando de esta manera la importancia del estudio de estos genes en la inmunidad del café. Palabras clave: Café, NBS-LRR, Proteínas de Resistencia, Bioinformática.

In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach

Physiology-based differentiation of S_H genes and Hemileia vastatrix races is the principal method employed for the characterization of coffee leaf rust resistance. Based on the gene-for-gene theory, nine major rust resistance genes (S_H1-9) have been proposed. However, these genes have not been characterized at the molecular level. Consequently, the lack of molecular data regarding rust resistance genes or candidates is a major bottleneck in coffee breeding. To address this issue, we screened a BAC library with resistance gene analogs (RGAs), identified RGAs, characterized and explored for any S_H related candidate genes. Herein, we report the identification and characterization of a gene (gene 11), which shares conserved sequences with other S_H genes and displays a characteristic polymorphic allele conferring different resistance phenotypes. Furthermore, comparative analysis of the two RGAs belonging to CC-NBS-LRR revealed more intense diversifying selection in tomato and grape genomes than in coffee. For the first time, the present study has unveiled novel insights into the molecular nature of the S_H genes, thereby opening new avenues for coffee rust resistance molecular breeding. The characterized candidate RGA is of particular importance for further biological function analysis in coffee.

Analysis of glycoside hydrolases from oat (Avena sativa) seedling extract

The abundance and the diversity of oligo- and polysaccharides provide a wide range of biological roles attributed either to these carbohydrates or to their relevant enzymes, i.e., the glycoside hydrolases (GHs). The biocatalysis by these families of enzymes is highly attractive for the generation of products used in potential applications, e.g., pharmaceuticals and food industries. It is thus very important to extract and characterize such enzymes, particularly from plant tissues. In this study, we characterized novel sequences of class I chitinases from seedlings extract of the common oat (Avena sativa L.) using proteomics and sequence-structure-function analysis. These enzymes, which belong to the GH19 family of protein, were extracted from oat and identified using SDS-PAGE, trypsin digestion, LC-MS-MS, and sequence-structure-function analysis. The amino acid sequences of the oat tryptic peptides were used to identify cDNAs from the Avena sativa databases of the expressed sequence tags (ESTs) and transcriptome shotgun assembly (TSA). Based upon the Avena sativa sequences of ESTs and TSA, at least 4 predicted genes that encoded oat class I chitinases were identified and reported. The structural characterization of the oat sequences of chitinases provided valuable insights to the context.

Sequencing and characterization of leaf transcriptomes of six diploid Nicotiana species

BACKGROUND

Nicotiana belongs to the Solanaceae family that includes important crops such as tomato, potato, eggplant, and pepper. Nicotiana species are of worldwide economic importance and are important model plants for scientific research. Here we present the comparative analysis of the transcriptomes of six wild diploid Nicotiana species. Wild relatives provide an excellent study system for the analysis of the genetic basis for various traits, especially disease resistance.

RESULTS

Whole transcriptome sequencing (RNA-seq) was performed for leaves of six diploid Nicotiana species, i.e. Nicotiana glauca, Nicotiana noctiflora, Nicotiana cordifolia, Nicotiana knightiana, Nicotiana setchellii and Nicotiana tomentosiformis. For each species, 9.0-22.3 Gb high-quality clean data were generated, and 67,073-182,046 transcripts were assembled with lengths greater than 100 bp. Over 90 % of the ORFs in each species had significant similarity with proteins in the NCBI non-redundant protein sequence (NR) database. A total of 2491 homologs were identified and used to construct a phylogenetic tree from the respective transcriptomes in Nicotiana. Bioinformatic analysis identified resistance gene analogs, major transcription factor families, and alkaloid transporter genes linked to plant defense.

CONCLUSIONS

This is the first report on the leaf transcriptomes of six wild Nicotiana species by Illumina paired-end sequencing and de novo assembly without a reference genome. These sequence resources hopefully will provide an opportunity for identifying genes involved in plant defense and several important quality traits in wild Nicotiana and will accelerate functional genomic studies and genetic improvement efforts of Nicotiana or other important Solanaceae crops in the future.

Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars

BACKGROUND

Drought is a widespread limiting factor in coffee plants. It affects plant development, fruit production, bean development and consequently beverage quality. Genetic diversity for drought tolerance exists within the coffee genus. However, the molecular mechanisms underlying the adaptation of coffee plants to drought are largely unknown. In this study, we compared the molecular responses to drought in two commercial cultivars (IAPAR59, drought-tolerant and Rubi, drought-susceptible) of Coffea arabica grown in the field under control (irrigation) and drought conditions using the pyrosequencing of RNA extracted from shoot apices and analysing the expression of 38 candidate genes.

RESULTS

Pyrosequencing from shoot apices generated a total of 34.7 Mbp and 535,544 reads enabling the identification of 43,087 clusters (41,512 contigs and 1,575 singletons). These data included 17,719 clusters (16,238 contigs and 1,575 singletons) exclusively from 454 sequencing reads, along with 25,368 hybrid clusters assembled with 454 sequences. The comparison of DNA libraries identified new candidate genes (n = 20) presenting differential expression between IAPAR59 and Rubi and/or drought conditions. Their expression was monitored in plagiotropic buds, together with those of other (n = 18) candidates genes. Under drought conditions, up-regulated expression was observed in IAPAR59 but not in Rubi for CaSTK1 (protein kinase), CaSAMT1 (SAM-dependent methyltransferase), CaSLP1 (plant development) and CaMAS1 (ABA biosynthesis). Interestingly, the expression of lipid-transfer protein (nsLTP) genes was also highly up-regulated under drought conditions in IAPAR59. This may have been related to the thicker cuticle observed on the abaxial leaf surface in IAPAR59 compared to Rubi.

CONCLUSIONS

The full transcriptome assembly of C. arabica, followed by functional annotation, enabled us to identify differentially expressed genes related to drought conditions. Using these data, candidate genes were selected and their differential expression profiles were confirmed by qPCR experiments in plagiotropic buds of IAPAR59 and Rubi under drought conditions. As regards the genes up-regulated under drought conditions, specifically in the drought-tolerant IAPAR59, several corresponded to orphan genes but also to genes coding proteins involved in signal transduction pathways, as well as ABA and lipid metabolism, for example. The identification of these genes should help advance our understanding of the genetic determinism of drought tolerance in coffee.

Identifying and Analyzing the Diversity of Resistance Gene Analogs in Colombian Rubus Genotypes

Five Andean blackberry Rubus genotypes, three resistant and two susceptible to anthracnose, were used to identify regions in the Rubus genome with homology to disease-resistance genes found in other plant species. Polymerase chain reaction amplification with 12 pairs of primers and fragment cloning yielded 520 clones, of which 151 showed inserts between 500 and 700 bp long. When sequenced, 47 clones showed homology with two types of resistance genes, non-Toll/interleukin-1 receptor (TIR) nucleotide binding site (NBS) leucine-rich repeat (LRR) and TIR-NBS-LRR, thereby confirming their designation as resistance gene analogs (RGAs). The number of RGAs detected per Rubus genotype ranged from 7 to 11, with the highest in a wild resistant and a cultivated susceptible genotype. Rubus RGAs were also homologous with several non-TIR- and TIR-type RGAs found in other members of the Rosaceae family (Rosa hybrid cultivar, Rosa roxburghii, Malus × domestica, M. prunifolia, M. baccata, M. floribunda, Pyrus communis, Prunus persica, P. kansuensis, P. avium, and Fragaria vesca). Three RGAs shared identity with two Rosaceae RGAs associated with the CRPM1 locus for powdery mildew resistance in R. roxburghii and the Rosa hybrid cultivar. This is the first report on RGAs present in the Andean blackberry in Colombia.