Guenter Kahl

Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement

Chickpea (Cicer arietinum) is the second most widely grown legume crop after soybean, accounting for a substantial proportion of human dietary nitrogen intake and playing a crucial role in food security in developing countries. We report the ∼738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes. Resequencing and analysis of 90 cultivated and wild genotypes from ten countries identifies targets of both breeding-associated genetic sweeps and breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main market classes of cultivated chickpea—desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding and provide insights into both genome diversity and domestication.

Chickpea molecular breeding: New tools and concepts

SummaryChickpea is a cool season grain legume of exceptionally high nutritive value and most versatile food use. It is mostly grown under rain fed conditions in arid and semi-arid areas around the world. Despite growing demand and high yield potential, chickpea yield is unstable and productivity is stagnant at unacceptably low levels. Major yield increases could be achieved by development and use of cultivars that resist/tolerate abiotic and biotic stresses. In recent years the wide use of early maturing cultivars that escape drought stress led to significant increases in chickpea productivity. In the Mediterranean region, yield could be increased by shifting the sowing date from spring to winter. However, this is hampered by the sensitivity of the crop to low temperatures and the fungal pathogen Ascochyta rabiei. Drought, pod borer (Helicoverpa spp.) and the fungus Fusarium oxysporum additionally reduce harvests there and in other parts of the world. Tolerance to rising salinity will be a future advantage in many regions. Therefore, chickpea breeding focuses on increasing yield by pyramiding genes for resistance/tolerance to the fungi, to pod borer, salinity, cold and drought into elite germplasm. Progress in breeding necessitates a better understanding of the genetics underlying these traits. Marker-assisted selection (MAS) would allow a better targeting of the desired genes. Genetic mapping in chickpea, for a long time hampered by the little variability in chickpea’s genome, is today facilitated by highly polymorphic, co-dominant microsatellite-based markers. Their application for the genetic mapping of traits led to inter-laboratory comparable maps. This paper reviews the current situation of chickpea genome mapping, tagging of genes for ascochyta blight, fusarium wilt resistance and other traits, and requirements for MAS. Conventional breeding strategies to tolerate/avoid drought and chilling effects at flowering time, essential for changing from spring to winter sowing, are described. Recent approaches and future prospects for functional genomics of chickpea are discussed.

Functional genomics to study stress responses in crop legumes: progress and prospects

Legumes are important food crops worldwide, contributing to more than 33% of human dietary protein. The production of crop legumes is frequently impacted by abiotic and biotic stresses. It is therefore important to identify genes conferring resistance to biotic stresses and tolerance to abiotic stresses that can be used to both understand molecular mechanisms of plant response to the environment and to accelerate crop improvement. Recent advances in genomics offer a range of approaches such as the sequencing of genomes and transcriptomes, gene expression microarray as well as RNA-seq based gene expression profiling, and map-based cloning for the identification and isolation of biotic and abiotic stress-responsive genes in several crop legumes. These candidate stress associated genes should provide insights into the molecular mechanisms of stress tolerance and ultimately help to develop legume varieties with improved stress tolerance and productivity under adverse conditions. This review provides an overview on recent advances in the functional genomics of crop legumes that includes the discovery as well as validation of candidate genes.

Towards the First Linkage Map of the Didymella rabiei Genome

A genetic map was developed for the ascomyceteDidymella rabiei (Kovachevski) v. Arx (anamorph:Ascochyta rabiei Pass. Labr.), the causal agent of Ascochyta blight in chickpea (Cicer arietinum L.). The map was generated with 77 F1 progeny derived from crossing an isolate from the U.S.A. and an isolate from Syria. A total of 232 DAF (DNA Amplification Fingerprinting) primers and 37 STMS (Sequence-Tagged Microsatellite Site) primer pairs were tested for polymorphism between the parental isolates; 50 markers were mapped, 36 DAFs and 14 STMSs. These markers cover 261.4cM in ten linkage groups. Nineteen markers remained unlinked. Significant deviation from the expected 1:1 segregation ratios was observed for only two markers (Prob. of χ2<0.05). The implications of our results on ploidy level of the asexual spores are discussed.

In planta Identification of Putative Pathogenicity Factors from the Chickpea Pathogen Ascochyta rabiei by De novo Transcriptome Sequencing Using RNA-Seq and Massive Analysis of cDNA Ends.

The most important foliar diseases in legumes worldwide are ascochyta blights. Up to now, in the Ascochyta-legume pathosystem most studies focused on the identification of resistance genes in the host, while very little is known about the pathogenicity factors of the fungal pathogen. Moreover, available data were often obtained from fungi growing under artificial conditions. Therefore, in this study we aimed at the identification of the pathogenicity factors of Ascochyta rabiei, causing ascochyta blight in chickpea. To identify potential fungal pathogenicity factors, we employed RNA-seq and Massive Analysis of cDNA Ends (MACE) to produce comprehensive expression profiles of A. rabiei genes isolated either from the fungus growing in absence of its host or from fungi infecting chickpea leaves. We further provide a comprehensive de novo assembly of the A. rabiei transcriptome comprising 22,725 contigs with an average length of 1178 bp. Since pathogenicity factors are usually secreted, we predicted the A. rabiei secretome, yielding 550 putatively secreted proteins. MACE identified 596 transcripts that were up-regulated during infection. An analysis of these genes identified a collection of candidate pathogenicity factors and unraveled the pathogens strategy for infecting its host.

Genotypic variability for tolerance to salinity and phosphorus deficiency among N2-dependent recombinant inbred lines of common bean (Phaseolus vulgaris)

Common bean (Phaseolus vulgaris L.) is often subject to various environmental constraints including soil salinity and phosphorus deficiency as major limitations for the yield of most grain legumes, especially when the plant growth depends upon N-2 fixation. In order to assess the genetic variation for tolerance to moderate salinity and phosphorus deficiency and identify the related morphological, physiological and genetic traits, 37 common bean recombinant inbred lines (RILs) were inoculated with Rhizobium tropici CIAT899, and grown in a glasshouse with 25 mM NaCl or 75 mu mol P plant(-1) week(-1), compared to optimal nutrient solution in hydroaeroponic culture system. Large genotypic variation in tolerance to P deficiency and salt was found with some RILs being tolerant to both constraints. By contrast some of the RILs showed tolerance to only one constraint while the most sensitive to salinity were also sensitive to P-deficiency. By using 18 microsatellite primer-pairs with six most contrasting RILs, 4 alleles were found to discriminate among the RILs. It is concluded that these genotypes and the microsatellites primers can be used to identify genes involved in salinity and P deficiency tolerance of N-2-dependent legume.

Data on draft genome sequence of chickpea (Cicer arietinum)

The dataset contains genome sequence of the ~738 Mb chickpea genome from CDC Frontier, a kabuli variety, which contains an estimated 28,269 genes. Re-sequencing and analysis of 90 cultivated and wild genotypes from 10 different countries identifies both targets of breeding-associated genetic sweeps and targets of breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main classes of cultivated chickpea- desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding, and provide insights into both genome diversity and domestication. GBrowse Visualization Links: Chickpea genome at LIS Research Article