8 results on '"Petr Smýkal"'
Search Results
2. A comparison of seed germination coefficients using functional regression
- Author
-
Renáta Talská, Jitka Machalová, Petr Smýkal, and Karel Hron
- Subjects
continuous germination index ,functional regression ,germination curve ,nondecreasing positive smoothing splines ,seed germination ,Biology (General) ,QH301-705.5 ,Botany ,QK1-989 - Abstract
Premise Seed germination over time is characterized by a sigmoid curve, called a germination curve, in which the percentage (or absolute number) of seeds that have completed germination is plotted against time. A number of individual coefficients have been developed to characterize this germination curve. However, as germination is considered to be a qualitative developmental response of an individual seed that occurs at one time point, but individual seeds within a given treatment respond at different time points, it has proven difficult to develop a single index that satisfactorily incorporates both percentage and rate. The aim of this paper is to develop a new coefficient, the continuous germination index (CGI), which quantifies seed germination as a continuous process, and to compare the CGI with other commonly used indexes. Methods To create the new index, the germination curves were smoothed using nondecreasing splines and the CGI was derived as the area under the resulting spline. For the comparison of the CGI with other common indexes, a regression model with functional response was developed. Results Using both an experimentally obtained wild pea (Pisum sativum subsp. elatius) seed data set and a hypothetical data set, we showed that the CGI is able to characterize the germination process better than most other indices. The CGI captures the local behavior of the germination curves particularly well. Discussion The CGI can be used advantageously for the characterization of the germination process. Moreover, B‐spline coefficients extracted by its construction can be employed for the further statistical processing of germination curves using functional data analysis methods.
- Published
- 2020
- Full Text
- View/download PDF
3. Potential and limits of exploitation of crop wild relatives for pea, lentil, and chickpea improvement
- Author
-
Clarice J. Coyne, Shiv Kumar, Eric J.B. vonWettberg, Edward Marques, Jens D. Berger, Robert J. Redden, T.H. Noel Ellis, Jan Brus, Lenka Zablatzká, and Petr Smýkal
- Subjects
chickpea ,climate change ,crop wild relatives ,genetic diversity ,introgression ,lentil ,Plant culture ,SB1-1110 - Abstract
Abstract Legumes represent the second most important family of crop plants after grasses, accounting for approximately 27% of the world's crop production. Past domestication processes resulted in a high degree of relatedness between modern varieties of crops, leading to a narrower genetic base of cultivated germplasm prone to pests and diseases. Crop wild relatives (CWRs) harbor genetic diversity tested by natural selection in a range of environments. To fully understand and exploit local adaptation in CWR, studies in geographical centers of origin combining ecology, physiology, and genetics are needed. With the advent of modern genomics and computation, combined with systematic phenotyping, it is feasible to revisit wild accessions and landraces and prioritize their use for breeding, providing sources of disease resistances; tolerances of drought, heat, frost, and salinity abiotic stresses; nutrient densities across major and minor elements; and food quality traits. Establishment of hybrid populations with CWRs gives breeders a considerable benefit of a prebreeding tool for identifying and harnessing wild alleles and provides extremely valuable long‐term resources. There is a need of further collecting and both ex situ and in situ conservation of CWR diversity of these taxa in the face of habitat loss and degradation and climate change. In this review, we focus on three legume crops domesticated in the Fertile Crescent, pea, chickpea, and lentil, and summarize the current state and potential of their respective CWR taxa for crop improvement.
- Published
- 2020
- Full Text
- View/download PDF
4. The loss of polyphenol oxidase function is associated with hilum pigmentation and has been selected during pea domestication
- Author
-
Jana Balarynová, Barbora Klčová, Jana Sekaninová, Lucie Kobrlová, Monika Zajacová Cechová, Petra Krejčí, Tatiana Leonova, Daria Gorbach, Christian Ihling, Lucie Smržová, Oldřich Trněný, Andrej Frolov, Petr Bednář, and Petr Smýkal
- Subjects
Domestication ,Proteomics ,Pigmentation ,Physiology ,Seeds ,Peas ,Plant Science ,Catechol Oxidase - Abstract
Seed coats serve as protective tissue to the enclosed embryo. As well as mechanical there are also chemical defence functions. During domestication, the property of the seed coat was altered including the removal of the seed dormancy. We used a range of genetic, transcriptomic, proteomic and metabolomic approaches to determine the function of the pea seed polyphenol oxidase (PPO) gene. Sequencing analysis revealed one nucleotide insertion or deletion in the PPO gene, with the functional PPO allele found in all wild pea samples, while most cultivated peas have one of the three nonfunctional ppo alleles. PPO functionality cosegregates with hilum pigmentation. PPO gene and protein expression, as well as enzymatic activity, was downregulated in the seed coats of cultivated peas. The functionality of the PPO gene relates to the oxidation and polymerisation of gallocatechin in the seed coat. Additionally, imaging mass spectrometry supports the hypothesis that hilum pigmentation is conditioned by the presence of both phenolic precursors and sufficient PPO activity. Taken together these results indicate that the nonfunctional polyphenol oxidase gene has been selected during pea domestication, possibly due to better seed palatability or seed coat visual appearance.
- Published
- 2022
5. A comparison of seed germination coefficients using functional regression
- Author
-
Jitka Machalová, Petr Smýkal, Karel Hron, and Renáta Talská
- Subjects
0106 biological sciences ,0301 basic medicine ,Application Article ,functional regression ,seed germination ,Plant Science ,Biology ,010603 evolutionary biology ,01 natural sciences ,03 medical and health sciences ,Sativum ,For the Special Issue: Advances in Plant Phenomics: From Data and Algorithms to Biological Insights ,lcsh:Botany ,Statistics ,Application Articles ,Time point ,lcsh:QH301-705.5 ,Ecology, Evolution, Behavior and Systematics ,Invited Special Article ,food and beverages ,Functional data analysis ,Regression analysis ,Sigmoid function ,lcsh:QK1-989 ,Data set ,Spline (mathematics) ,continuous germination index ,nondecreasing positive smoothing splines ,030104 developmental biology ,lcsh:Biology (General) ,Germination ,germination curve - Abstract
Premise Seed germination over time is characterized by a sigmoid curve, called a germination curve, in which the percentage (or absolute number) of seeds that have completed germination is plotted against time. A number of individual coefficients have been developed to characterize this germination curve. However, as germination is considered to be a qualitative developmental response of an individual seed that occurs at one time point, but individual seeds within a given treatment respond at different time points, it has proven difficult to develop a single index that satisfactorily incorporates both percentage and rate. The aim of this paper is to develop a new coefficient, the continuous germination index (CGI), which quantifies seed germination as a continuous process, and to compare the CGI with other commonly used indexes. Methods To create the new index, the germination curves were smoothed using nondecreasing splines and the CGI was derived as the area under the resulting spline. For the comparison of the CGI with other common indexes, a regression model with functional response was developed. Results Using both an experimentally obtained wild pea (Pisum sativum subsp. elatius) seed data set and a hypothetical data set, we showed that the CGI is able to characterize the germination process better than most other indices. The CGI captures the local behavior of the germination curves particularly well. Discussion The CGI can be used advantageously for the characterization of the germination process. Moreover, B‐spline coefficients extracted by its construction can be employed for the further statistical processing of germination curves using functional data analysis methods.
- Published
- 2020
6. Potential and limits of exploitation of crop wild relatives for pea, lentil, and chickpea improvement
- Author
-
Jens Berger, Lenka Zablatzká, Petr Smýkal, Robert Redden, T. H. Noel Ellis, Edward Marques, Shiv Kumar, Eric von Wettberg, Clarice J. Coyne, and Jan Brus
- Subjects
Genetic diversity ,Resistance (ecology) ,fungi ,introgression ,food and beverages ,Climate change ,Introgression ,genetic diversity ,Plant Science ,lcsh:Plant culture ,Biology ,lentil ,crop wild relatives ,Crop ,climate change ,Agronomy ,chickpea ,lcsh:SB1-1110 ,Food Science - Abstract
Legumes represent the second most important family of crop plants after grasses, accounting for approximately 27% of the world's crop production. Past domestication processes resulted in a high degree of relatedness between modern varieties of crops, leading to a narrower genetic base of cultivated germplasm prone to pests and diseases. Crop wild relatives (CWRs) harbor genetic diversity tested by natural selection in a range of environments. To fully understand and exploit local adaptation in CWR, studies in geographical centers of origin combining ecology, physiology, and genetics are needed. With the advent of modern genomics and computation, combined with systematic phenotyping, it is feasible to revisit wild accessions and landraces and prioritize their use for breeding, providing sources of disease resistances; tolerances of drought, heat, frost, and salinity abiotic stresses; nutrient densities across major and minor elements; and food quality traits. Establishment of hybrid populations with CWRs gives breeders a considerable benefit of a prebreeding tool for identifying and harnessing wild alleles and provides extremely valuable long‐term resources. There is a need of further collecting and both ex situ and in situ conservation of CWR diversity of these taxa in the face of habitat loss and degradation and climate change. In this review, we focus on three legume crops domesticated in the Fertile Crescent, pea, chickpea, and lentil, and summarize the current state and potential of their respective CWR taxa for crop improvement.
- Published
- 2020
7. User-friendly markers linked to Fusarium wilt race 1 resistanceFwgene for marker-assisted selection in pea
- Author
-
Rebecca J. McGee, Petr Smýkal, Meinan Wang, Soon-Jae Kwon, Kevin E. McPhee, Jinguo Hu, Clarice J. Coyne, and Sung-Jin Kim
- Subjects
Genetics ,food and beverages ,Locus (genetics) ,Plant Science ,Biology ,Marker-assisted selection ,Fusarium wilt ,RAPD ,Inbred strain ,Genetic marker ,Botany ,Amplified fragment length polymorphism ,Agronomy and Crop Science ,Gene - Abstract
Fusarium wilt is one of the most widespread diseases of pea. Resistance to Fusarium wilt race 1 was reported as a single gene, Fw, located on linkage group III. The previously reported AFLP and RAPD markers linked to Fw have limited usage in marker-assisted selection due to their map distance and linkage phase. Using 80 F8 recombinant inbred lines (RILs) derived from the cross of Green Arrow × PI 179449, we amplified 72 polymorphic markers between resistant and susceptible lines with the target region amplified polymorphism (TRAP) technique. Marker–trait association analysis revealed a significant association. Five candidate markers were identified and three were converted into user-friendly dominant SCAR markers. Forty-eight pea cultivars with known resistant or susceptible phenotypes to Fusarium wilt race 1 verified the marker–trait association. These three markers, Fw_Trap_480, Fw_Trap_340 and Fw_Trap_220, are tightly linked to and only 1.2 cM away from the Fw locus and are therefore ideal for marker-assisted selection. These newly identified markers are useful to assist in the isolation of the Fusarium wilt race 1 resistance gene in pea.
- Published
- 2013
8. High-molecular-mass complexes formed in vivo contain smHSPs and HSP70 and display chaperone-like activity
- Author
-
Petr Smýkal, Paul M Pechan, and Ivan Hrdý
- Subjects
chemistry.chemical_classification ,biology ,medicine.diagnostic_test ,Proteolysis ,Biochemistry ,In vitro ,Hsp70 ,Enzyme ,chemistry ,In vivo ,Chaperone (protein) ,Heat shock protein ,biology.protein ,medicine ,Citrate synthase - Abstract
Stress can have profound effects on the cell. The elicitation of the stress response in the cell is often accompanied by the synthesis of high-molecular-mass complexes, sometimes termed heat shock granules (HSGs). The presence of the complexes has been shown to be important for the survival of cells subjected to stress. We purified these complexes from heat-stressed BY-2 tobacco cells. HSG complexes formed in vivo contain predominantly smHSPs, HSP40 and HSP70 and display chaperone-like activity. Tubulins as well as other proteins may be part of the complex or its substrate. The proteins, except smHSPs and to some extent HSP70, were hypersensitive to proteolysis, suggesting that they were partially denatured and not an integral part of the HSG complexes. When citrate synthase was used as the substrate, in vivo generated HSG complexes exhibited strong nucleotide-dependent in vitro chaperone activity. Measurable ATP-mediated hydrolytic activity was detected. Isolated HSG complexes are stable until ATP is added, which leads to rapid dissociation of the complex into subunits. It is proposed that smHSPs form the core of the complex in association with ATP-dependent HSP70 and HSP40 cochaperones. Implications of these findings are discussed.
- Published
- 2000
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.