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Correlating molecular markers with physiological expression in Hordeum, a developing approach using stable isotopes

Published online by Cambridge University Press:  01 September 1997

L. L. HANDLEY
Affiliation:
Department of Cellular and Environmental, Physiology, Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
D. ROBINSON
Affiliation:
Department of Cellular and Environmental, Physiology, Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
C. M. SCRIMGEOUR
Affiliation:
Department of Chemistry, Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
D. GORDON
Affiliation:
Department of Chemistry, Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
B. P. FORSTER
Affiliation:
Department of Cellular and Molecular Genetics, Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
R. P. ELLIS
Affiliation:
Department of Cellular and Molecular Genetics, Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK
E. NEVO
Affiliation:
Institute of Evolution, University of Haifa, Mount Carmel, Haifa 31999, Israel
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Abstract

This paper describes a developing approach for correlating molecular markers with phenotypic expression in barley, and research examples are given. This approach is intended to elucidate the connection between defined parts of the barley genome and their physiological expressions. To illustrate our approach (up to the point of marker correlation), the materials, methods and results of an experiment are presented. Briefly, the natural abundance levels of carbon and nitrogen isotopes (δ13C and δ15N) serve as the primary screening tools for assessing barley genotypes for their responses to imposed abiotic stresses. The isotopic responses are then correlated with molecular markers as the first step in identifying the mechanisms relating genetic variation with phenotypic expression.

A well-described mechanistic model exists for interpreting plant δ13C, and this enables partitioning of the physiological processes contributing to the whole plant δ13C. Although plant δ15N appears to be equally well correlated with genotype and environment, there is no mechanistic model explaining this isotopic signature. Hence, δ15N is used empirically and in parallel with attempts to understand its underlying mechanism(s).

Type
Research Article
Copyright
© Trustees of the New Phytologist 1997

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