Günter Kahl

Gene expression analysis of plant host–pathogen interactions by SuperSAGE

The type III restriction endonuclease EcoP15I was used in isolating fragments of 26 bp from defined positions of cDNAs. We call this substantially improved variant to the conventional serial analysis of gene expression (SAGE) procedure “SuperSAGE.” By applying SuperSAGE to Magnaporthe grisea (blast)-infected rice leaves, gene expression profiles of both the rice host and blast fungus were simultaneously monitored by making use of the fully sequenced genomes of both organisms, revealing that the hydrophobin gene is the most actively transcribed M. grisea gene in blast-infected rice leaves. Moreover, SuperSAGE was applied to study gene expression changes before the so-called hypersensitive response in INF1 elicitor-treated Nicotiana benthamiana, a “nonmodel” organism for which no DNA database is available. Again, SuperSAGE allowed rapid identification of genes up- or down-regulated by the elicitor. Surprisingly, many of the down-regulated genes coded for proteins involved in photosynthesis. SuperSAGE will be especially useful for transcriptome profiling of two or more interacting organisms like hosts and pathogens, and of organisms, for which no DNA database is available.

A linkage map of the chickpea (Cicer arietinum L.) genome based on recombinant inbred lines from a C. arietinum×C. reticulatum cross: localization of resistance genes for fusarium wilt races 4 and 5

Abstract An integrated molecular marker map of the chickpea genome was established using 130 recombinant inbred lines from a wide cross between a cultivar resistant to fusarium wilt caused by Fusarium oxysporum Schlecht. emend. Snyd. &. Hans f. sp. ciceri (Padwick) Snyd & Hans, and an accession of Cicer reticulatum (PI 489777), the wild progenitor of chickpea. A total of 354 markers were mapped on the RILs including 118 STMSs, 96 DAFs, 70 AFLPs, 37 ISSRs, 17 RAPDs, eight isozymes, three cDNAs, two SCARs and three loci that confer resistance against different races of fusarium wilt. At a LOD-score of 4.0, 303 markers cover 2077.9 cM in eight large and eight small linkage groups at an average distance of 6.8 cM between markers. Fifty one markers (14.4%) were unlinked. A clustering of markers in central regions of linkage groups was observed. Markers of the same class, except for ISSR and RAPD markers, tended to generate subclusters. Also, genes for resistance to races 4 and 5 of fusarium wilt map to the same linkage group that includes an STMS and a SCAR marker previously shown to be linked to fusarium wilt race 1, indicating a clustering of several fusarium-wilt resistance genes around this locus. Significant deviation from the expected 1 : 1 segregation ratio was observed for 136 markers (38.4%, P<0.05). Segregation was biased towards the wild progenitor in 68% of the cases. Segregation distortion was similar for all marker types except for ISSRs that showed only 28.5% aberrant segregation. The map is the most extended genetic map of chickpea currently available. It may serve as a basis for marker-assisted selection and map-based cloning of fusarium wilt resistance genes and other agronomically important genes in future.

Characterization and mapping of sequence-tagged microsatellite sites in the chickpea (Cicer arietinum L.) genome

Abstract A size-selected genomic library comprising 280,000 colonies and representing ≈18% of the chickpea genome, was screened for (GA)n, (GAA)n and (TAA)n microsatellite-containing clones, of which 389 were sequenced. The majority (∼75%) contained perfect repeats; interrupted, interrupted compound and compound repeats were only present in 6%–9% of cases. (TAA)-microsatellites contained the longest repeats, with unit numbers from 9 to 131. For 218 loci primers could be designed and used for the detection of microsatellite length polymorphisms in six chickpea breeding cultivars, as well as in C. reticulatum and C. echinospermum, wild, intercrossable relatives of chickpea. A total of 174 primer pairs gave interpretable banding patterns, 137 (79%) of which revealed at least two alleles on native polyacrylamide gels. A total of 120 sequence-tagged microsatellite site (STMS) markers were genetically mapped in 90 recombinant inbred lines from an inter-species cross between C. reticulatum and the chickpea cultivar ICC 4958. Markers could be arranged in 11 linkage groups (at a LOD score of 4) covering 613 cM. Clustering as well as random distribution of loci was observed. Segregation of 46 markers (39%) deviated significantly (P ≥ 0.05) from the expected 1:1 ratio. The majority of these loci (73%) were located in three distinct regions of the genome. The present STMS marker map represents the most advanced co-dominant DNA marker map of the chickpea genome.

DNA Fingerprinting in Plants : Principles, Methods, and Applications, Second Edition

PREFACE REPETITIVE DNA: AN IMPORTANT SOURCE OF VARIATION IN EUKARYOTIC GENOMES Categories of DNA Sequence Mutations Tandem-Repetitive DNA: The Biology of Mini- and Microsatellites Minisatellites Microsatellites Transposable Elements Class I Transposons Class II Transposons Unclassified Transposons Transposons and Genome Evolution Transposons as Molecular Markers DETECTING DNA VARIATION BY MOLECULAR MARKERS Properties of Molecular Markers Traditional Marker Systems Protein Markers and Allozymes DNA Sequencing Restriction Fragment Length Polymorphism (RFLP) Analysis The PCR Generation: Molecular Markers Based on In Vitro DNA Amplification Principle of the PCR Cleaved Amplified Polymorphic Sequences PCR with Arbitrary Primers: RAPD and Its Variants Microsatellites Inter-Repeat PCR DNA Profiling of Genic Regions: Resistance Gene Analog Polymorphism, Sequence-Related Amplified Polymorphism, and Target Region Amplification Polymorphism Hybridization of Microsatellites to RAPD and MP-PCR Products AFLP Analysis and Its Variants Single-Strand Conformation Polymorphism Analysis and Related Techniques Miscellaneous Techniques LABORATORY EQUIPMENT METHODOLOGY Safety Precautions Isolation, Purification, and Quantitation of Plant DNA Collection and Preservation of Plant Tissue in the Field Plant DNA Extraction: General Considerations CTAB Protocol I CTAB Protocol II SDS-Potassium Acetate Protocol DNA Preparation via Nuclei Quantitation of DNA Basic Molecular Techniques Restriction of DNA Polymerase Chain Reaction DNA Sequencing Agarose Gel Electrophoresis PAA Gel Electrophoresis Detection of DNA in Gels Gel Drying Southern Blotting Generation of Radiolabeled Probes, Primers, and PCR Products Blot Hybridization Signal Detection PCR with Arbitrary Primers Standard RAPD Protocol Influence of Reaction Conditions and Components Modifications Microsatellite-Primed PCR Standard Protocol of Microsatellite-Primed PCR Influence of Reaction Conditions and Components Modifications PCR and Hybridization: Combinatory Techniques Assessing the Genomic Copy Number of PCR Amplicons Testing the Homology of Comigrating Bands Random Amplified Polymorphic Microsatellites Amplified Fragment Length Polymorphism Standard AFLP Protocol Using Radioisotopes AFLP Protocol Using Fluorescence-Labeled Primers Selective Amplification of Microsatellite Polymorphic Loci and Microsatellite AFLP Protocols Technical Aspects and Modifications Robustness and Reproducibility Generation and Analysis of Microsatellite Markers Microsatellite Analysis Using Radioisotopes Microsatellite Analysis Using Fluorochromes Technical Aspects and Modifications Generating Microsatellite Markers Without Cloning Microsatellite Cloning CAPS Analysis of cpDNA and mtDNA Standard CAPS Protocol Choice of CAPS Primers EVALUATION OF MOLECULAR MARKER DATA Robustness and Reproducibility Reliability Band Homology Band Linkage and Neutrality Fragment Sizing and Matching General Precautions Equipment Multilocus vs. Single-Locus Approaches Multilocus Markers Single-Locus Markers and Polyploids Band Sharing and Genetic Distances Coefficients of Similarity Dissimilarity Coefficients and Genetic Distances Identity and Uniqueness Clonal Structure Ordination, Clustering, and Dendrograms Ordination Techniques Construction of Dendrograms Population Genetic Analysis Measures of Variation Genetic Differentiation between Populations Genetic Distances between Populations Inbreeding Coefficient and Mating Systems Estimation of Relatedness and Paternity Testing Migration and Hybridization Gene Flow, Isolation-by-Distance, and Spatial Structure Phylogeography and Nested Clade Analysis Statistical Testing of Hypotheses: Analytical and Computational Methods APPLICATIONS OF DNA FINGERPRINTING IN PLANT SCIENCES A Brief History of DNA Fingerprinting Minisatellite and Oligonucleotide DNA Probes Detect Genetic Variation PCR-Based Methods Enter the Stage Microsatellite DNA Analyses Yield Codominant Markers Universal Organellar DNA Primers Produce Uniparental Markers Genotype Identification Individual-Specific DNA Fingerprints Cultivar Identification In Vitro-Propagated Plant Material and Somaclonal Variation Sports and Other Mutants Genetic Diversity Variation and Relatedness among Cultivars Analysis of Population Genetic Diversity and Its Distribution Hybridization and Introgression Plant Conservation Germplasm Characterization and Preservation Plant Taxonomy and Systematics Taxonomic Relationships Revealed by Multilocus DNA Methods Microsatellite Markers in Taxonomic Studies Taxonomic Consequences from DNA Profiling Data Phylogeography Phylogeography Based on cpDNA Phylogeography Based on Nuclear Genes LINKAGE ANALYSIS AND GENETIC MAPS Generating High-Density Genetic Maps Selection of Parent Plants Mapping Population Linkage Analysis The Genetic Map Cytogenetic Maps Genetic vs. Physical Maps Synteny: The Comparative Analysis of Genomes Marker-Assisted Selection Molecular Markers and Positional Cloning WHICH MARKER FOR WHAT PURPOSE: A COMPARISON Morphological Characters and Allozymes vs. DNA Markers Different Kinds of DNA Markers Discriminatory Power Genetic Distances Within- and Among-Population Variation Gene Tagging and Genetic Linkage Mapping Costs Conclusions FUTURE PROSPECTS: SNIPS AND CHIPS FOR DNA AND RNA PROFILING Single-Nucleotide Polymorphisms What Is a SNiP SNP Discovery DNA Microarrays Expression Profiling and Expression Markers APPENDIX 1: PLANT DNA ISOLATION PROTOCOLS APPENDIX 2: SUPPLIERS AND SELLERS OF REAGENTS AND EQUIPMENT APPENDIX 3: COMPUTER PROGRAMS DEALING WITH THE EVALUATION OF DNA SEQUENCE VARIATION AND MOLECULAR MARKER DATA APPENDIX 4: WEB PAGES OF INTEREST REFERENCES INDEX

SuperSAGE: the drought stress-responsive transcriptome of chickpea roots

BackgroundDrought is the major constraint to increase yield in chickpea (Cicer arietinum). Improving drought tolerance is therefore of outmost importance for breeding. However, the complexity of the trait allowed only marginal progress. A solution to the current stagnation is expected from innovative molecular tools such as transcriptome analyses providing insight into stress-related gene activity, which combined with molecular markers and expression (e)QTL mapping, may accelerate knowledge-based breeding. SuperSAGE, an improved version of the serial analysis of gene expression (SAGE) technique, generating genome-wide, high-quality transcription profiles from any eukaryote, has been employed in the present study. The method produces 26 bp long fragments (26 bp tags) from defined positions in cDNAs, providing sufficient sequence information to unambiguously characterize the mRNAs. Further, SuperSAGE tags may be immediately used to produce microarrays and probes for real-time-PCR, thereby overcoming the lack of genomic tools in non-model organisms.ResultsWe applied SuperSAGE to the analysis of gene expression in chickpea roots in response to drought. To this end, we sequenced 80,238 26 bp tags representing 17,493 unique transcripts (UniTags) from drought-stressed and non-stressed control roots. A total of 7,532 (43%) UniTags were more than 2.7-fold differentially expressed, and 880 (5.0%) were regulated more than 8-fold upon stress. Their large size enabled the unambiguous annotation of 3,858 (22%) UniTags to genes or proteins in public data bases and thus to stress-response processes. We designed a microarray carrying 3,000 of these 26 bp tags. The chip data confirmed 79% of the tag-based results, whereas RT-PCR confirmed the SuperSAGE data in all cases.ConclusionThis study represents the most comprehensive analysis of the drought-response transcriptome of chickpea available to date. It demonstrates that – inter alias – signal transduction, transcription regulation, osmolyte accumulation, and ROS scavenging undergo strong transcriptional remodelling in chickpea roots already 6 h after drought stress. Certain transcript isoforms characterizing these processes are potential targets for breeding for drought tolerance. We demonstrate that these can be easily accessed by micro-arrays and RT-PCR assays readily produced downstream of SuperSAGE. Our study proves that SuperSAGE owns potential for molecular breeding also in non-model crops.

Metabolism in plant storage tissue slices

The tissue of resting plant storage organs such as carrots, red beets, sugar beets or potato tubers can be activated by slicing into thin disks and incubation of these fragments in a moist atmosphere for different periods of time (“aging”). Activation comprises the turning-on of various genes with subsequent synthesis of transfer-, ribosomal and messenger RNAs and their transport into the cytoplasm. The immediate consequence of all these primary reactions is a vigorous synthesis of various enzymes and structural proteins which enable the cell to greatly enhanced metabolic activities. Thus, degradation of storage polymers and the procession of the resulting products through glycolysis, the pentose phosphate shunt and the shikimateprephenate-pathway and cellulose biosynthesis occur. Deinhibition of the tricarboxylic acid cycle opens the flow of metabolites into fatty acid, phospholipid and steroid biosynthesis, simultaneously providing the respiratory chain with electrons. In spite of functional modifications within the electron transport chain, the enhanced respiration of tissue slices serves as an energy source for the various energy-dependent reactions of the cell such as syntheses and the uptake of solutes.All of these activities accompany a concomitant dedifferentiation process and ultimately lead to renewed redifferentiation of the tissue slice cell.ZusammenfassungDas Gewebe ruhender pflanzlicher Speicherorgane wie Karotten, Rote Beeten, Zuckerrüben oder Kartoffelknollen lä\t sich durch einfaches Zerteilen in kleine Fragmente oder Scheiben und deren Aufbewahrung in feuchter Atmosphäre aktivieren. Der Aktivierungsproze\, im englischen Sprachgebrauch unkorrekt als “aging” bezeichnet, umfa\t die Entblockung zahlloser Gene, deren unmittelbare Produkte als Messenger-, Transferoder ribosomale RNA-Spezies im Cytoplasma der Zelle erscheinen. Die auf diese Primärprozesse folgende Synthese vieler Enzyme und Strukturproteine ist unabdingbare Voraussetzung für den verstärkt ablaufenden Stoffwechsel in den Gewebescheiben. Eine Erhöhung des Stoffdurchsatzes in der Glykolyse, im Pentosephosphatzyklus und dem Shikimi-säure-Prephensäure-Weg sowie eine verstärkte Cellulosesynthese ist ein Charakteristikum des “aging”-Prozesses in Gewebescheiben praktisch aller pflanzlicher Speicherorgane. Der Metabolitflu\ in die Fettsäure-, Phospholipid-und Steroidbiosynthese wird durch eine Entblockung des im intakten Speicherorgan geblockten Tricarbonsäurezyklus ermöglicht. Gleichzeitig werden dadurch der Atmungskette verstärkt Elektronen zugeführt, die zum Teil über eine modifizierte Endoxydation verarbeitet werden. Trotzdem bleibt auch hier die Gewinnung von Energie für energieverbrauchende Prozesse in der Zelle die Hauptaufgabe der Atmungskette.Der gesamte Proze\ der Stoffwechselaktivierung begleitet eine zelluläre Dedifferenzierung der vorher ausdifferenzierten Speicherparenchymzelle und führt letztlich zu ihrer erneuten Redifferenzierung zu einer Zelle mit Abschlu\funktion.

Novel SSR Markers from BAC-End Sequences, DArT Arrays and a Comprehensive Genetic Map with 1,291 Marker Loci for Chickpea (Cicer arietinum L.)

Chickpea (Cicer arietinum L.) is the third most important cool season food legume, cultivated in arid and semi-arid regions of the world. The goal of this study was to develop novel molecular markers such as microsatellite or simple sequence repeat (SSR) markers from bacterial artificial chromosome (BAC)-end sequences (BESs) and diversity arrays technology (DArT) markers, and to construct a high-density genetic map based on recombinant inbred line (RIL) population ICC 4958 (C. arietinum)×PI 489777 (C. reticulatum). A BAC-library comprising 55,680 clones was constructed and 46,270 BESs were generated. Mining of these BESs provided 6,845 SSRs, and primer pairs were designed for 1,344 SSRs. In parallel, DArT arrays with ca. 15,000 clones were developed, and 5,397 clones were found polymorphic among 94 genotypes tested. Screening of newly developed BES-SSR markers and DArT arrays on the parental genotypes of the RIL mapping population showed polymorphism with 253 BES-SSR markers and 675 DArT markers. Segregation data obtained for these polymorphic markers and 494 markers data compiled from published reports or collaborators were used for constructing the genetic map. As a result, a comprehensive genetic map comprising 1,291 markers on eight linkage groups (LGs) spanning a total of 845.56 cM distance was developed (http://cmap.icrisat.ac.in/cmap/sm/cp/thudi/). The number of markers per linkage group ranged from 68 (LG 8) to 218 (LG 3) with an average inter-marker distance of 0.65 cM. While the developed resource of molecular markers will be useful for genetic diversity, genetic mapping and molecular breeding applications, the comprehensive genetic map with integrated BES-SSR markers will facilitate its anchoring to the physical map (under construction) to accelerate map-based cloning of genes in chickpea and comparative genome evolution studies in legumes.

Allelic variation at (TAA) n microsatellite loci in a world collection of chickpea (Cicer arietinum L.) germplasm

Abstract A set of 12 randomly selected (TAA)n microsatellite loci of the cultivated chickpea (Cicer arietinum L.) were screened in a worldwide sample comprising 72 landraces, four improved cultivars and two wild species of the primary gene pool (C. reticulatum and C. echinosperum) to determine the level and pattern of polymorphism in these populations. A single fragment was amplified from all the accessions with each of 12 sequence-tagged microsatellite site markers, except for one locus where no fragment was obtained from either of the two wild species. There was a high degree of intraspecific polymorphism at these microsatellite loci, although isozymes, conventional RFLPs and RAPDs show very little or no polymorphism. Overall, the repeat number at a locus (excluding null alleles) ranged from 7 to 42. The average number of alleles per locus was 14.1 and the average genetic diversity was 0.86. Based on the estimates obtained, 11 out of the 12 frequency distributions of alleles at the loci tested can be considered to be non-normal. A significant positive correlation between the average number of repeats (size of the locus) and the amount of variation was observed, indicating that replication slippage may be the molecular mechanism involved in generation of variability at the loci. A comparison between the infinite allele and stepwise mutation models revealed that for 11 out of the 12 loci the number of alleles observed fell in between the values predicted by the two models. Phylogenetic analysis of microsatellite polymorphism in C. arietinum showed no relationship between accession and geographic origin, which is compatible with the recent expansion of this crop throughout the world.

High-Throughput SuperSAGE for Digital Gene Expression Analysis of Multiple Samples Using Next Generation Sequencing

We established a protocol of the SuperSAGE technology combined with next-generation sequencing, coined “High-Throughput (HT-) SuperSAGE”. SuperSAGE is a method of digital gene expression profiling that allows isolation of 26-bp tag fragments from expressed transcripts. In the present protocol, index (barcode) sequences are employed to discriminate tags from different samples. Such barcodes allow researchers to analyze digital tags from transcriptomes of many samples in a single sequencing run by simply pooling the libraries. Here, we demonstrated that HT-SuperSAGE provided highly sensitive, reproducible and accurate digital gene expression data. By increasing throughput for analysis in HT-SuperSAGE, various applications are foreseen and several examples are provided in the present study, including analyses of laser-microdissected cells, biological replicates and tag extraction using different anchoring enzymes.

Genotyping with RAPD and microsatellite markers resolves pathotype diversity in the ascochyta blight pathogen of chickpea

Abstract The poor definition of variation in the ascochyta blight fungus (Ascochyta rabiei) has historically hindered breeding for resistance to the chickpea (Cicer arietinum L.) blight disease in West Asia and North Africa. We have employed 14 RAPD markers and an oligonucleotide probe complementary to the microsatellite sequence (GATA)4 to construct a genotype-specific DNA fragment profile from periodically sampled Syrian field isolates of this fungus. By using conventional pathogenicity tests and genome analysis with RAPD and microsatellite markers, we demonstrated that the DNA markers distinguish variability within and among the major pathotypes of A. rabiei and resolved each pathotypes into several genotypes. The genetic diversity estimate based on DNA marker analysis within pathotypes was highest for the least-aggressive pathotype (pathotype I), followed by the aggressive (pathotype II) and the most-aggressive pathotype (pathotype III). The pair-wise genetic distance estimated for all the isolates varied from 0.00 to 0.39, indicating a range from a clonal to a diverse relationship. On the basis of genome analysis, and information on the spatial and temporal distribution of the pathogen, a general picture of A. rabiei evolution in Syria is proposed.