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Publikationen - Molekulare Signalverarbeitung

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Publikation

Quint, M.; Melchinger, A. E.; Dußle, C. M.; Lübberstedt, T.; Breeding for virus resistance in maize Genetika 32, 529-545, (2000)

Sugarcane mosaic virus (SCMV) is an important disease in maize, which is emerging in Germany since 1983. Using this pest as a model for the inheritance of oligogenic traits, we clarified the genetic ba­sis for resistance in early maturing European maize germplasm. Screening of 122 adapted European inbred lines identified three completely resistant lines, which were used for further analyses. The genetics of SCMV resis­tance was investigated by allelism tests in field experiments combined with QTL and bulked segregant analyses (BSA) on the marker level. QTL analyses revealed the presence of two major genes Scm1 and Scm2 plus three minor QTL. Involvement of Scm1 and Scm2 in the inheritance of SCMV resistance could be confirmed by BSA in a second cross. Breeders can make use of tightly linked STS markers for marker-assisted selection (MAS) as well as our SCMV resistant flint lines to improve their elite germplasm. Currently, recurrent backcrossing with phenotypic selection is the most appropriate and cost effective breeding method. With de­creasing costs of DNA chip technology, MAS can be competitive with phenotypic selection in the near future. Further objectives of our research are the isolation and cloning of Scm1 and Scm2. To achieve this goal we follow two different approaches. (1) Positional cloning based on more than 500 AFLP primer combinations resulted in Scm1/Scm2 specific markers with a resolution of approximately 0.2 cM in the respective re­gions. (2) Resistance gene analogues (RGAs), cosegregating with the tar­get genes are used to identify further candidate genes for transformation experiments.
Publikation

Quint, M.; Mihaljevic, R.; Dussle, C.; Xu, M.; Melchinger, A.; Lübberstedt, T.; Development of RGA-CAPS markers and genetic mapping of candidate genes for sugarcane mosaic virus resistance in maize Theor. Appl. Genet. 105, 355-363, (2002) DOI: 10.1007/s00122-002-0953-x

Three previously published resistance gene analogues (RGAs), pic13, pic21 and pic19, were mapped in relation to sugarcane mosaic virus (SCMV) resistance genes (Scmv1, Scmv2) in maize. We cloned these RGAs from six inbreds including three SCMV-resistant lines (D21, D32, FAP1360A) and three SCMV-susceptible lines (D145, D408, F7). Pairwise sequence alignments among the six inbreds revealed a frequency of one single nucleotide polymorphism (SNP) per 33 bp for the three RGAs, indicating a high degree of polymorphism and a high probability of success in converting RGAs into codominant cleaved amplified polymorphic sequence (CAPS) markers compared to other sequences. SNPs were used to develop CAPS markers for mapping of the three RGAs in relation to Scmv1 (chromosome 6) and Scmv2 (chromosome 3), and for pedigree analyses of resistant inbred lines. By genetic mapping pic21 was shown to be different from Scmv2, whereas pic19 and pic13 are still candidates for Scmv1 and Scmv2, respectively, due to genetic mapping and consistent restriction patterns of ancestral lines.
Publikation

Dussle, C.; Quint, M.; Xu, M.; Melchinger, A.; Lübberstedt, T.; Conversion of AFLP fragments tightly linked to SCMV resistance genes Scmv1 and Scmv2 into simple PCR-based markers Theor. Appl. Genet. 105, 1190-1195, (2002) DOI: 10.1007/s00122-002-0964-7

In a previous study, bulked segregant analysis with amplified fragment length polymorphisms (AFLPs) identified several markers closely linked to the sugarcane mosaic virus resistance genes Scmv1 on chromosome 6 and Scmv2 on chromosome 3. Six AFLP markers (E33M61-2, E33M52, E38M51, E82M57, E84M59 and E93M53) were located on chromosome 3 and two markers (E33M61-1 and E35M62-1) on chromosome 6. Our objective in the present study was to sequence the respective AFLP bands in order to convert these dominant markers into more simple and reliable polymerase chain reaction (PCR)-based sequence-tagged site markers. Six AFLP markers resulted either in complete identical sequences between the six inbreds investigated in this study or revealed single nucleotide polymorphisms within the inbred lines and were, therefore, not converted. One dominant AFLP marker (E35M62-1) was converted into an insertion/deletion (indel) marker and a second AFLP marker (E33M61-2) into a cleaved amplified polymorphic sequence marker. Mapping of both converted PCR-based markers confirmed their localization to the same chromosome region (E33M61-2 on chromosome 3; E35M62-1 on chromosome 6) as the original AFLP markers. Thus, these markers will be useful for marker-assisted selection and facilitate map-based cloning of SCMV resistance genes.
Publikation

Dußle, C.; Quint, M.; Melchinger, A.; Xu, M.; Lübberstedt, T.; Saturation of two chromosome regions conferring resistance to SCMV with SSR and AFLP markers by targeted BSA Theor. Appl. Genet. 106, 485-493, (2003) DOI: 10.1007/s00122-002-1107-x

Quantitative trait loci (QTLs) and bulked segregant analyses (BSA) identified the major genes Scmv1 on chromosome 6 and Scmv2 on chromosome 3, conferring resistance against sugarcane mosaic virus (SCMV) in maize. Both chromosome regions were further enriched for SSR and AFLP markers by targeted bulked segregant analysis (tBSA) in order to identify and map only markers closely linked to either Scmv1 or Scmv2. For identification of markers closely linked to the target genes, symptomless individuals of advanced backcross generations BC5 to BC9 were employed. All AFLP markers, identified by tBSA using 400 EcoRI/MseI primer combinations, mapped within both targeted marker intervals. Fourteen SSR and six AFLP markers mapped to the Scmv1 region. Eleven SSR and 18 AFLP markers were located in the Scmv2 region. Whereas the linear order of SSR markers and the window size for the Scmv2 region fitted well with publicly available genetic maps, map distances and window size differed substantially for the Scmv1 region on chromosome 6. A possible explanation for the observed discrepancies is the presence of two closely linked resistance genes in the Scmv1 region.
Publikation

Quint, M.; Dußle, C. M.; Melchinger, A. E.; Lübberstedt, T.; Identification of genetically linked RGAs by BAC screening in maize and implications for gene cloning, mapping and MAS Theor. Appl. Genet. 106, 1171-1177, (2003) DOI: 10.1007/s00122-002-1105-z

The resistance gene analogue (RGA) pic19 in maize, a candidate for sugarcane mosaic virus (SCMV) resistance gene (R gene) Scmv1, was used to screen a maize BAC library to identify homologous sequences in the maize genome and to investigate their genomic organisation. Fifteen positive BAC clones were identified and could be classified into five physically independent contigs consisting of overlapping clones. Genetic mapping clustered three contigs into the same genomic region as Scmv1 on chromosome 6S. The two remaining contigs mapped to the same region as a QTL for SCMV resistance on chromosome 1. Thus, RGAs mapping to a target region can be successfully used to identify further-linked candidate sequences. The pic19 homologous sequences of these clones revealed a sequence similarity of 94–98% on the nucleotide level. The high sequence similarity reveals potential problems for the use of RGAs as molecular markers. Their application in marker-assisted selection (MAS) and the construction of high-density genetic maps is complicated by the existence of closely linked homologues resulting in 'ghost' marker loci analogous to 'ghost' QTLs. Therefore, implementation of genomic library screening, including genetic mapping of potential homologues, seems necessary for the safe application of RGA markers in MAS and gene isolation.
Publikation

Frisch, M.; Quint, M.; Lübberstedt, T.; Melchinger, A. E.; Duplicate marker loci can result in incorrect locus orders on linkage maps Theor. Appl. Genet. 109, 305-316, (2004) DOI: 10.1007/s00122-003-1578-4

Genetic linkage maps, constructed from multi-locus recombination data, are the basis for many applications of molecular markers. For the successful employment of a linkage map, it is essential that the linear order of loci on a chromosome is correct. The objectives of this theoretical study were to (1) investigate the occurrence of incorrect locus orders caused by duplicate marker loci, (2) develop a statistical test for the detection of duplicate markers, and (3) discuss the implications for practical applications of linkage maps. We derived conditions, under which incorrect locus orders do or do not occur with duplicate marker loci for the general case of n markers on a chromosome in a BC1 mapping population. We further illustrated these conditions numerically for the special case of four markers. On the basis of the extent of segregation distortion, an exact test for the presence of duplicate marker loci was suggested and its power was investigated numerically. Incorrect locus orders caused by duplicate marker loci can (1) negatively affect the assignment of target genes to chromosome regions in a map-based cloning experiment, (2) hinder indirect selection for a favorable allele at a quantitative trait locus, and (3) decrease the efficiency of reducing the length of the chromosome segment attached to a target gene in marker-assisted backcrossing.
Bücher und Buchkapitel

Quint, M.; Lübberstedt, T.; Application of resistance gene analogs in breeding for virus resistance Plant Pathogens Series 6, (2008)

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Publikation

Delker, C.; Pöschl, Y.; Raschke, A.; Ullrich, K.; Ettingshausen, S.; Hauptmann, V.; Grosse, I.; Quint, M.; Natural Variation of Transcriptional Auxin Response Networks in Arabidopsis thaliana Plant Cell 22, 2184-2200, (2010) DOI: 10.1105/tpc.110.073957

Natural variation has been observed for various traits in Arabidopsis thaliana. Here, we investigated natural variation in the context of physiological and transcriptional responses to the phytohormone auxin, a key regulator of plant development. A survey of the general extent of natural variation to auxin stimuli revealed significant physiological variation among 20 genetically diverse natural accessions. Moreover, we observed dramatic variation on the global transcriptome level after induction of auxin responses in seven accessions. Although we detect isolated cases of major-effect polymorphisms, sequencing of signaling genes revealed sequence conservation, making selective pressures that favor functionally different protein variants among accessions unlikely. However, coexpression analyses of a priori defined auxin signaling networks identified variations in the transcriptional equilibrium of signaling components. In agreement with this, cluster analyses of genome-wide expression profiles followed by analyses of a posteriori defined gene networks revealed accession-specific auxin responses. We hypothesize that quantitative distortions in the ratios of interacting signaling components contribute to the detected transcriptional variation, resulting in physiological variation of auxin responses among accessions.
Publikation

Quint, M.; Drost, H.-G.; Gabel, A.; Ullrich, K. K.; Bönn, M.; Grosse, I.; A transcriptomic hourglass in plant embryogenesis Nature 490, 98-101, (2012) DOI: 10.1038/nature11394

Animal and plant development starts with a constituting phase called embryogenesis, which evolved independently in both lineages1. Comparative anatomy of vertebrate development—based on the Meckel-Serrès law2 and von Baer’s laws of embryology3 from the early nineteenth century—shows that embryos from various taxa appear different in early stages, converge to a similar form during mid-embryogenesis, and again diverge in later stages. This morphogenetic series is known as the embryonic ‘hourglass’4,5, and its bottleneck of high conservation in mid-embryogenesis is referred to as the phylotypic stage6. Recent analyses in zebrafish and Drosophila embryos provided convincing molecular support for the hourglass model, because during the phylotypic stage the transcriptome was dominated by ancient genes7 and global gene expression profiles were reported to be most conserved8. Although extensively explored in animals, an embryonic hourglass has not been reported in plants, which represent the second major kingdom in the tree of life that evolved embryogenesis. Here we provide phylotranscriptomic evidence for a molecular embryonic hourglass in Arabidopsis thaliana, using two complementary approaches. This is particularly significant because the possible absence of an hourglass based on morphological features in plants suggests that morphological and molecular patterns might be uncoupled. Together with the reported developmental hourglass patterns in animals, these findings indicate convergent evolution of the molecular hourglass and a conserved logic of embryogenesis across kingdoms.
Publikation

Poeschl, Y.; Delker, C.; Trenner, J.; Ullrich, K. K.; Quint, M.; Grosse, I.; Optimized Probe Masking for Comparative Transcriptomics of Closely Related Species PLOS ONE 8, e78497, (2013) DOI: 10.1371/journal.pone.0078497

Microarrays are commonly applied to study the transcriptome of specific species. However, many available microarrays are restricted to model organisms, and the design of custom microarrays for other species is often not feasible. Hence, transcriptomics approaches of non-model organisms as well as comparative transcriptomics studies among two or more species often make use of cost-intensive RNAseq studies or, alternatively, by hybridizing transcripts of a query species to a microarray of a closely related species. When analyzing these cross-species microarray expression data, differences in the transcriptome of the query species can cause problems, such as the following: (i) lower hybridization accuracy of probes due to mismatches or deletions, (ii) probes binding multiple transcripts of different genes, and (iii) probes binding transcripts of non-orthologous genes. So far, methods for (i) exist, but these neglect (ii) and (iii). Here, we propose an approach for comparative transcriptomics addressing problems (i) to (iii), which retains only transcript-specific probes binding transcripts of orthologous genes. We apply this approach to an Arabidopsis lyrata expression data set measured on a microarray designed for Arabidopsis thaliana, and compare it to two alternative approaches, a sequence-based approach and a genomic DNA hybridization-based approach. We investigate the number of retained probe sets, and we validate the resulting expression responses by qRT-PCR. We find that the proposed approach combines the benefit of sequence-based stringency and accuracy while allowing the expression analysis of much more genes than the alternative sequence-based approach. As an added benefit, the proposed approach requires probes to detect transcripts of orthologous genes only, which provides a superior base for biological interpretation of the measured expression responses.
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