Title
Capturing candidate drought tolerance traits in two native Andean potato clones by transcription profiling of field grown plants under water stress
Date Issued
01 September 2007
Access level
metadata only access
Resource Type
journal article
Abstract
Candidate traits for drought tolerance were targeted by analyzing water stress responses in two moderately drought-tolerant native Andean potato clones, SA2563 and Sullu (Solanum tuberosum L. subsp, andigena (Juz, Bukasov) Hawkes) under field conditions. SA2563 exhibited increased root growth under drought, while Sullu retained a higher relative leaf water content. Gene expression profiling using the TIGR 10 K microarray revealed 1713 significantly differentially expressed genes, 186 of these genes were up-regulated in both clones. In addition to these commonly up-regulated genes, each clone induced a specific gene set in response to drought. Gene expression and metabolite analysis pinpointed candidate traits for drought tolerance present either in one or both of the clones under investigation. These traits included osmotic adjustment, changes in carbohydrate metabolism, membrane modifications, strengthening of cuticle and cell rescue mechanisms, such as detoxification of oxygen radicals and protein stabilization. Many of the up-regulated genes have been identified previously in laboratory studies on model plants using shock treatments, and the present study confirms the importance of these factors under field conditions. © 2007 Elsevier Masson SAS. All rights reserved.
Start page
673
End page
690
Volume
45
Issue
9
Language
English
OCDE Knowledge area
Bioquímica, Biología molecular Genética, Herencia
Scopus EID
2-s2.0-34548626699
PubMed ID
Source
Plant Physiology and Biochemistry
ISSN of the container
09819428
Sponsor(s)
Special thanks to The Institute of Genomics Research, particularly to Willem Rensink and his team, for providing the TIGR Expression Profiling Service funded by the NSF Functional Genomics Project. Further we would like to thank Danielle Evers, Christelle Andre and Mouhssin Oufir (CRP-Gabriel Lippmann, Luxembourg) for sugar and sugar alcohol measurements and Prof Ruth Grene (Virginia Tech, USA) for helpful discussions and comments on the manuscript. We also would like to acknowledge the Generation Challenge Program-funded CIP High Performance Computing Facility, which allowed us to increase the efficiency of the bioinformatics analysis of our results. This study was financially supported by the Austrian Government.
Sources of information: Directorio de Producción Científica Scopus