Expression profiling of genes involved in drought stress and leaf senescence in juvenile barley View Full Text


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Article Info

DATE

2016-01-05

AUTHORS

Gwendolin Wehner, Christiane Balko, Klaus Humbeck, Eva Zyprian, Frank Ordon

ABSTRACT

BACKGROUND: Drought stress in juvenile stages of crop development and premature leaf senescence induced by drought stress have an impact on biomass production and yield formation of barley (Hordeum vulgare L.). Therefore, in order to get information of regulatory processes involved in the adaptation to drought stress and leaf senescence expression analyses of candidate genes were conducted on a set of 156 barley genotypes in early developmental stages, and expression quantitative trait loci (eQTL) were identified by a genome wide association study. RESULTS: Significant effects of genotype and treatment were detected for leaf colour measured at BBCH 25 as an indicator of leaf senescence and for the expression level of the genes analysed. Furthermore, significant correlations were detected within the group of genes involved in drought stress (r = 0.84) and those acting in leaf senescence (r = 0.64), as well as between leaf senescence genes and the leaf colour (r = 0.34). Based on these expression data and 3,212 polymorphic single nucleotide polymorphisms (SNP) with a minor allele frequency >5% derived from the Illumina 9 k iSelect SNP Chip, eight cis eQTL and seven trans eQTL were found. Out of these an eQTL located on chromosome 3H at 142.1 cM is of special interest harbouring two drought stress genes (GAD3 and P5CS2) and one leaf senescence gene (Contig7437), as well as an eQTL on chromosome 5H at 44.5 cM in which two genes (TRIUR3 and AVP1) were identified to be associated to drought stress tolerance in a previous study. CONCLUSION: With respect to the expression of genes involved in drought stress and early leaf senescence, genotypic differences exist in barley. Major eQTL for the expression of these genes are located on barley chromosome 3H and 5H. Respective markers may be used in future barley breeding programmes for improving tolerance to drought stress and leaf senescence. More... »

PAGES

3

References to SciGraph publications

  • 1994-10. Structure and promoter analysis of an ABA- and stress-regulated barley gene, HVA1 in PLANT MOLECULAR BIOLOGY
  • 2008-05-30. Dehydrin gene expression provides an indicator of low temperature and drought stress: transcriptome-based analysis of Barley (Hordeum vulgare L.) in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2006-11-15. Overexpression of barley hva1 gene in creeping bentgrass for improving drought tolerance in PLANT CELL REPORTS
  • 1998-10. The Spanish barley core collection in GENETIC RESOURCES AND CROP EVOLUTION
  • 2014-08-02. Evaluation of juvenile drought stress tolerance and genotyping by sequencing with wild barley introgression lines in MOLECULAR BREEDING
  • 2007-04. Specific and unspecific responses of plants to cold and drought stress in JOURNAL OF BIOSCIENCES
  • 2011-09-29. Mapping QTLs for oil traits and eQTLs for oleosin genes in jatropha in BMC PLANT BIOLOGY
  • 2011-06-30. Genome-wide expression quantitative trait loci (eQTL) analysis in maize in BMC GENOMICS
  • 1997-10. Isolation of cDNA clones for genes showing enhanced expression in barley leaves during dark-induced senescence as well as during senescence under field conditions in PLANTA
  • 2005-11-10. Expression genetics and haplotype analysis reveal cis regulation of serine carboxypeptidase I (Cxp1), a candidate gene for malting quality in barley (Hordeum vulgare L.) in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2011-11-22. Identification of marker-trait associations in the German winter barley breeding gene pool (Hordeum vulgare L.) in MOLECULAR BREEDING
  • 2011-12-09. Stress-inducible expression of barley Hva1 gene in transgenic mulberry displays enhanced tolerance against drought, salinity and cold stress in TRANSGENIC RESEARCH
  • 2009-06-24. Transcriptional profiling in response to terminal drought stress reveals differential responses along the wheat genome in BMC GENOMICS
  • 2013-01-25. Plant senescence and crop productivity in PLANT MOLECULAR BIOLOGY
  • 2013-01-13. Epigenetic and small RNA regulation of senescence in PLANT MOLECULAR BIOLOGY
  • 2015-06-30. Genetical genomics of Populus leaf shape variation in BMC PLANT BIOLOGY
  • 2013-09-04. Genetic Improvement of Sugarcane for Drought and Salinity Stress Tolerance Using Arabidopsis Vacuolar Pyrophosphatase (AVP1) Gene in MOLECULAR BIOTECHNOLOGY
  • 2015-03-11. Pre-amplification in the context of high-throughput qPCR gene expression experiment in BMC MOLECULAR AND CELL BIOLOGY
  • 2003-09-26. Plant responses to drought, salinity and extreme temperatures: towards genetic engineering for stress tolerance in PLANTA
  • 2015-05-22. Identification of genomic regions involved in tolerance to drought stress and drought stress induced leaf senescence in juvenile barley in BMC PLANT BIOLOGY
  • 2012-04-21. Meta-analysis of QTL associated with tolerance to abiotic stresses in barley in EUPHYTICA
  • 2001-07. New QTLs identified for plant water status, water-soluble carbohydrate and osmotic adjustment in a barley population grown in a growth-chamber under two water regimes in THEORETICAL AND APPLIED GENETICS
  • 2010-02-06. Expression QTLs: applications for crop improvement in MOLECULAR BREEDING
  • 2012-11-18. Natural variation in a homolog of Antirrhinum CENTRORADIALIS contributed to spring growth habit and environmental adaptation in cultivated barley in NATURE GENETICS
  • 2012-10-17. A physical, genetic and functional sequence assembly of the barley genome in NATURE
  • 1996-08. A barley (Hordeum vulgare L.) LEA3 protein, HVA1, is abundant in protein storage vacuoles in PLANTA
  • 2009-03. Plant drought stress: effects, mechanisms and management in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12870-015-0701-4

    DOI

    http://dx.doi.org/10.1186/s12870-015-0701-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1006074689

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26733420


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