Transcript profiles uncover temporal and stress-induced changes of metabolic pathways in germinating sugar beet seeds View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-12

AUTHORS

Elena Pestsova, Juliane Meinhard, Andreas Menze, Uwe Fischer, Andrea Windhövel, Peter Westhoff

ABSTRACT

BACKGROUND: With a cultivation area of 1.75 Mio ha and sugar yield of 16.7 Mio tons in 2006, sugar beet is a crop of great economic importance in Europe. The productivity of sugar beet is determined significantly by seed vigour and field emergence potential; however, little is known about the molecular mechanisms underlying these traits. Both traits exhibit large variations within sugar beet germplasm that have been difficult to ascribe to either environmental or genetic causes. Among potential targets for trait improvement, an enhancement of stress tolerance is considered because of the high negative influence of environmental stresses on trait parameters. Extending our knowledge of genetic and molecular determinants of sugar beet germination, stress response and adaptation mechanisms would facilitate the detection of new targets for breeding crop with an enhanced field emergence potential. RESULTS: To gain insight into the sugar beet germination we initiated an analysis of gene expression in a well emerging sugar beet hybrid showing high germination potential under various environmental conditions. A total of 2,784 ESTs representing 2,251 'unigenes' was generated from dry mature and germinating seeds. Analysis of the temporal expression of these genes during germination under non-stress conditions uncovered drastic transcriptional changes accompanying a shift from quiescent to metabolically active stages of the plant life cycle. Assay of germination under stressful conditions revealed 157 genes showing significantly different expression patterns in response to stress. As deduced from transcriptome data, stress adaptation mechanisms included an alteration in reserve mobilization pathways, an accumulation of the osmoprotectant glycine betaine, late embryogenesis abundant proteins and detoxification enzymes. The observed transcriptional changes are supposed to be regulated by ABA-dependent signal transduction pathway. CONCLUSION: This study provides an important step toward the understanding of main events and metabolic pathways during germination in sugar beet. The reported alterations of gene expression in response to stress shed light on sugar beet stress adaptation mechanisms. Some of the identified stress-responsive genes provide a new potential source for improvement of sugar beet stress tolerance during germination and field emergence. More... »

PAGES

122

References to SciGraph publications

  • 1995-11. Genomic structure and expression of the pyruvate, orthophosphate dikinase gene of the dicotyledonous C4 plant Flaveria trinervia (Asteraceae) in PLANT MOLECULAR BIOLOGY
  • 2002-01. Identification of genes specifically expressed in maternal and filial tissues of barley caryopses: a cDNA array analysis in MOLECULAR GENETICS AND GENOMICS
  • 2002-05. Differential gene expression during seed germination in barley (Hordeumvulgare L.) in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2003-08. Differential induction of glyoxylate cycle enzymes by stress as a marker for seedling vigor in sugar beet (Beta vulgaris) in MOLECULAR GENETICS AND GENOMICS
  • 2003-09. A RING-H2 zinc-finger protein gene RIE1 is essential for seed development in Arabidopsis in PLANT MOLECULAR BIOLOGY
  • 1991-06. Differential accumulation of plastid transcripts encoding photosystem II components in the mesophyll and bundle-sheath cells of monocotyledonous NADP-malic enzyme-type C4 plants in PLANTA
  • 2001-12. Differential Accumulation of a 24‐kd Dehydrin Protein in Wheat Seedlings Correlates with Drought Stress Tolerance at Grain Filling in HEREDITAS
  • 2003-06. Cultivar-specific seedling vigor and expression of a putative oxalate oxidase germin-like protein in sugar beet (Beta vulgaris L.) in THEORETICAL AND APPLIED GENETICS
  • 2007-04. Overexpression of barley hva1 gene in creeping bentgrass for improving drought tolerance in PLANT CELL REPORTS
  • 2001-12. Functional genomics in the study of seed germination in GENOME BIOLOGY
  • 2005-07. Differentially expressed genes associated with dormancy or germination of Arabidopsis thaliana seeds in PLANTA
  • 2002-01. EST analysis in barley defines a unigene set comprising 4,000 genes in THEORETICAL AND APPLIED GENETICS
  • 2005-07. Sorghum bicolor’s Transcriptome Response to Dehydration, High Salinity and ABA in PLANT MOLECULAR BIOLOGY
  • 1992-01. Salt-inducible betaine aldehyde dehydrogenase from sugar beet: cDNA cloning and expression in PLANT MOLECULAR BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2229-8-122

    DOI

    http://dx.doi.org/10.1186/1471-2229-8-122

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1039965259

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19046420


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