TY - GEN A1 - Meyer, Rhonda Christiane A1 - Kusterer, Barbara A1 - Lisec, Jan A1 - Steinfath, Matthias A1 - Becher, Martina A1 - Scharr, Hanno A1 - Melchinger, Albrecht E. A1 - Selbig, Joachim A1 - Schurr, Ulrich A1 - Willmitzer, Lothar A1 - Altmann, Thomas T1 - QTL analysis of early stage heterosis for biomass in Arabidopsis T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - The main objective of this study was to identify genomic regions involved in biomass heterosis using QTL, generation means, and mode-of-inheritance classification analyses. In a modified North Carolina Design III we backcrossed 429 recombinant inbred line and 140 introgression line populations to the two parental accessions, C24 and Col-0, whose F 1 hybrid exhibited 44% heterosis for biomass. Mid-parent heterosis in the RILs ranged from −31 to 99% for dry weight and from −58 to 143% for leaf area. We detected ten genomic positions involved in biomass heterosis at an early developmental stage, individually explaining between 2.4 and 15.7% of the phenotypic variation. While overdominant gene action was prevalent in heterotic QTL, our results suggest that a combination of dominance, overdominance and epistasis is involved in biomass heterosis in this Arabidopsis cross. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1330 KW - Quantitative Trait Locus KW - recombinant inbred line KW - Quantitative Trait Locus analysis KW - dominance effect KW - recombinant inbred line population Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-431272 SN - 1866-8372 IS - 1330 ER - TY - JOUR A1 - Meyer, Rhonda Christiane A1 - Kusterer, Barbara A1 - Lisec, Jan A1 - Steinfath, Matthias A1 - Becher, Martina A1 - Scharr, Hanno A1 - Melchinger, Albrecht E. A1 - Selbig, Joachim A1 - Schurr, Ulrich A1 - Willmitzer, Lothar A1 - Altmann, Thomas T1 - QTL analysis of early stage heterosis for biomass in Arabidopsis JF - Theoretical and applied genetics N2 - The main objective of this study was to identify genomic regions involved in biomass heterosis using QTL, generation means, and mode-of-inheritance classification analyses. In a modified North Carolina Design III we backcrossed 429 recombinant inbred line and 140 introgression line populations to the two parental accessions, C24 and Col-0, whose F 1 hybrid exhibited 44% heterosis for biomass. Mid-parent heterosis in the RILs ranged from −31 to 99% for dry weight and from −58 to 143% for leaf area. We detected ten genomic positions involved in biomass heterosis at an early developmental stage, individually explaining between 2.4 and 15.7% of the phenotypic variation. While overdominant gene action was prevalent in heterotic QTL, our results suggest that a combination of dominance, overdominance and epistasis is involved in biomass heterosis in this Arabidopsis cross. KW - Quantitative Trait Locus KW - recombinant inbred line KW - Quantitative Trait Locus analysis KW - dominance effect KW - recombinant inbred line population Y1 - 2009 U6 - https://doi.org/10.1007/s00122-009-1074-6 SN - 1432-2242 SN - 0040-5752 VL - 129 IS - 2 SP - 227 EP - 237 PB - Springer Nature CY - Berlin ER - TY - GEN A1 - Steinfath, Matthias A1 - Gärtner, Tanja A1 - Lisec, Jan A1 - Meyer, Rhonda C. A1 - Altmann, Thomas A1 - Willmitzer, Lothar A1 - Selbig, Joachim T1 - Prediction of hybrid biomass in Arabidopsis thaliana by selected parental SNP and metabolic markers T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - A recombinant inbred line (RIL) population, derived from two Arabidopsis thaliana accessions, and the corresponding testcrosses with these two original accessions were used for the development and validation of machine learning models to predict the biomass of hybrids. Genetic and metabolic information of the RILs served as predictors. Feature selection reduced the number of variables (genetic and metabolic markers) in the models by more than 80% without impairing the predictive power. Thus, potential biomarkers have been revealed. Metabolites were shown to bear information on inherited macroscopic phenotypes. This proof of concept could be interesting for breeders. The example population exhibits substantial mid-parent biomass heterosis. The results of feature selection could therefore be used to shed light on the origin of heterosis. In this respect, mainly dominance effects were detected. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1324 KW - Quantitative Trait Locus KW - feature selection KW - Partial Little Square KW - recombinant inbred line KW - Quantitative Trait Locus analysis Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-431115 SN - 1866-8372 IS - 1324 ER - TY - JOUR A1 - Steinfath, Matthias A1 - Gärtner, Tanja A1 - Lisec, Jan A1 - Meyer, Rhonda Christiane A1 - Altmann, Thomas A1 - Willmitzer, Lothar A1 - Selbig, Joachim T1 - Prediction of hybrid biomass in Arabidopsis thaliana by selected parental SNP and metabolic markers JF - Theoretical and applied genetics : TAG ; international journal of plant breeding research N2 - A recombinant inbred line (RIL) population, derived from two Arabidopsis thaliana accessions, and the corresponding testcrosses with these two original accessions were used for the development and validation of machine learning models to predict the biomass of hybrids. Genetic and metabolic information of the RILs served as predictors. Feature selection reduced the number of variables (genetic and metabolic markers) in the models by more than 80% without impairing the predictive power. Thus, potential biomarkers have been revealed. Metabolites were shown to bear information on inherited macroscopic phenotypes. This proof of concept could be interesting for breeders. The example population exhibits substantial mid-parent biomass heterosis. The results of feature selection could therefore be used to shed light on the origin of heterosis. In this respect, mainly dominance effects were detected. KW - Quantitative Trait Locus KW - feature selection KW - Partial Little Square KW - recombinant inbred line KW - Quantitative Trait Locus analysis Y1 - 2009 U6 - https://doi.org/10.1007/s00122-009-1191-2 SN - 0040-5752 SN - 1432-2242 VL - 120 SP - 239 EP - 247 PB - Springer CY - Berlin ER - TY - GEN A1 - Andorf, Sandra A1 - Gärtner, Tanja A1 - Steinfath, Matthias A1 - Witucka-Wall, Hanna A1 - Altmann, Thomas A1 - Repsilber, Dirk T1 - Towards systems biology of heterosis BT - a hypothesis about molecular network structure applied for the Arabidopsis metabolome T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - We propose a network structure-based model for heterosis, and investigate it relying on metabolite profiles from Arabidopsis. A simple feed-forward two-layer network model (the Steinbuch matrix) is used in our conceptual approach. It allows for directly relating structural network properties with biological function. Interpreting heterosis as increased adaptability, our model predicts that the biological networks involved show increasing connectivity of regulatory interactions. A detailed analysis of metabolite profile data reveals that the increasing-connectivity prediction is true for graphical Gaussian models in our data from early development. This mirrors properties of observed heterotic Arabidopsis phenotypes. Furthermore, the model predicts a limit for increasing hybrid vigor with increasing heterozygosity—a known phenomenon in the literature. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 949 KW - partial correlation KW - biological network KW - metabolite profile KW - molecular network KW - significant edge Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-436274 SN - 1866-8372 IS - 949 ER - TY - JOUR A1 - Lisso, Janina A1 - Altmann, Thomas A1 - Müssig, Carsten T1 - The AtNFXL1 gene encodes a NF-X1 type zinc finger protein required for growth under salt stress JF - FEBS letters : the journal for rapid publication of short reports in molecular biosciences N2 - The human NF-X1 protein and homologous proteins in eukaryotes represent a class of transcription factors which are characterised. by NF-X1 type zinc finger motifs. The Arabidopsis genome encodes two NF-X1 homologs, which we termed AtNFXL1 and AtNFXL2. Growth and survival was impaired in atnfxl1 knock-out mutants and AtNFXL1-antisense plants under salt stress in comparison to wild-type plants. In contrast, 35S: :AtNFXL1 plants showed higher survival rates. The AtNFXL2 protein potentially plays an antagonistic role. The Arabidopsis NF-X1 type zinc finger proteins likely are part of regulatory mechanisms, which protect major processes such as photosynthesis. KW - Arabidopsis thaliana KW - NF-X1 KW - salt stress Y1 - 2006 U6 - https://doi.org/10.1016/j.febslet.2006.07.079 SN - 0014-5793 VL - 580 IS - 22 SP - 4851 EP - 4856 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Lisso, Janina A1 - Altmann, Thomas A1 - Müssig, Carsten T1 - Metabolic changes in fruits of the tomato d(x) mutant JF - Phytochemistry : an international journal of plant biochemistry KW - Solanum lycopersicum KW - Solanaceae KW - tomato KW - brassinosteroid KW - primary metabolism KW - fruit Y1 - 2006 U6 - https://doi.org/10.1016/j.phytochem.2006.07.008 SN - 0031-9422 VL - 67 IS - 20 SP - 2232 EP - 2238 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Torjek, Otto A1 - Witucka-Wall, Hanna A1 - Meyer, Rhonda C. A1 - von Korff, Maria A1 - Kusterer, Barbara A1 - Rautengarten, Carsten A1 - Altmann, Thomas T1 - Segregation distortion in Arabidopsis C24/Col-0 and Col-0/C24 recombinant inbred line populations is due to reduced fertility caused by epistatic interaction of two loci JF - Theoretical and applied genetics N2 - A new large set of reciprocal recombinant inbred lines (RILs) was created between the Arabidopsis accessions Col-0 and C24 for quantitative trait mapping approaches, consisting of 209 Col-0 x C24 and 214 C24 x Col-0 F-7 RI lines. Genotyping was performed using 110 evenly distributed framework single nucleotide polymorphism markers, yielding a genetic map of 425.70 cM, with an average interval of 3.87 cM. Segregation distortion (SD) was observed in several genomic regions during the construction of the genetic map. Linkage disequilibrium analysis revealed an association between a distorted region at the bottom of chromosome V and a non-distorted region on chromosome IV. A detailed analysis of the RILs for these two regions showed that an SD occurred when homozygous Col-0 alleles on chromosome IV coincided with homozygous C24 alleles at the bottom of chromosome V. Using nearly isogenic lines segregating for the distorted region we confirmed that this genotypic composition leads to reduced fertility and fitness. Y1 - 2006 U6 - https://doi.org/10.1007/s00122-006-0402-3 SN - 0040-5752 VL - 113 SP - 1551 EP - 1561 PB - Springer CY - Berlin ER - TY - JOUR A1 - Edlich-Muth, Christian A1 - Muraya, Moses M. A1 - Altmann, Thomas A1 - Selbig, Joachim T1 - Phenomic prediction of maize hybrids JF - Biosystems : journal of biological and information processing sciences N2 - Phenomic experiments are carried out in large-scale plant phenotyping facilities that acquire a large number of pictures of hundreds of plants simultaneously. With the aid of automated image processing, the data are converted into genotype-feature matrices that cover many consecutive days of development. Here, we explore the possibility of predicting the biomass of the fully grown plant from early developmental stage image-derived features. We performed phenomic experiments on 195 inbred and 382 hybrid maizes varieties and followed their progress from 16 days after sowing (DAS) to 48 DAS with 129 image-derived features. By applying sparse regression methods, we show that 73% of the variance in hybrid fresh weight of fully-grown plants is explained by about 20 features at the three-leaf-stage or earlier. Dry weight prediction explained over 90% of the variance. When phenomic features of parental inbred lines were used as predictors of hybrid biomass, the proportion of variance explained was 42 and 45%, for fresh weight and dry weight models consisting of 35 and 36 features, respectively. These models were very robust, showing only a small amount of variation in performance over the time scale of the experiment. We also examined mid-parent heterosis in phenomic features. Feature heterosis displayed a large degree of variance which resulted in prediction performance that was less robust than models of either parental or hybrid predictors. Our results show that phenomic prediction is a viable alternative to genomic and metabolic prediction of hybrid performance. In particular, the utility of early-stage parental lines is very encouraging. (C) 2016 Elsevier Ireland Ltd. All rights reserved. KW - Hybrid prediction KW - LASSO KW - Regression KW - Maize KW - Phenomics Y1 - 2016 U6 - https://doi.org/10.1016/j.biosystems.2016.05.008 SN - 0303-2647 SN - 1872-8324 VL - 146 SP - 102 EP - 109 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - ´Cwiek-Kupczynska, Hanna A1 - Altmann, Thomas A1 - Arend, Daniel A1 - Arnaud, Elizabeth A1 - Chen, Dijun A1 - Cornut, Guillaume A1 - Fiorani, Fabio A1 - Frohmberg, Wojciech A1 - Junker, Astrid A1 - Klukas, Christian A1 - Lange, Matthias A1 - Mazurek, Cezary A1 - Nafissi, Anahita A1 - Neveu, Pascal A1 - van Oeveren, Jan A1 - Pommier, Cyril A1 - Poorter, Hendrik A1 - Rocca-Serra, Philippe A1 - Sansone, Susanna-Assunta A1 - Scholz, Uwe A1 - van Schriek, Marco A1 - Seren, Ümit A1 - Usadel, Bjorn A1 - Weise, Stephan A1 - Kersey, Paul A1 - Krajewski, Pawel T1 - Measures for interoperability of phenotypic data: minimum information requirements and formatting JF - Plant Methods N2 - Background: Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the findings can be fostered by reusing and combining existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata. So far there have been no common standards governing phenotypic data description, which hampered data exchange and reuse. Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting. We provide a document called "Minimum Information About a Plant Phenotyping Experiment", which specifies what information about each experiment should be given, and a Phenotyping Configuration for the ISA-Tab format, which allows to practically organise this information within a dataset. We provide examples of ISA-Tab-formatted phenotypic data, and a general description of a few systems where the recommendations have been implemented. Conclusions: Acceptance of the rules described in this paper by the plant phenotyping community will help to achieve findable, accessible, interoperable and reusable data. KW - Data standardisation and formatting KW - Experimental metadata KW - Minimum information recommendations KW - Plant phenotyping KW - Experiment description Y1 - 2016 U6 - https://doi.org/10.1186/s13007-016-0144-4 SN - 1746-4811 VL - 12 PB - BioMed Central CY - London ER -