共 68 条
Global expression profiling in leaves of free-growing aspen
被引:34
作者:

Sjodin, Andreas
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机构:
Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden

Wissel, Kirsten
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机构:
Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden
Hannover Med Sch, Dept Otolaryngol, D-30625 Hannover, Germany Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden

Bylesjo, Max
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机构:
Umea Univ, Dept Chem, Chemometr Res Grp, SE-90187 Umea, Sweden Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden

Trygg, Johan
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Umea Univ, Dept Chem, Chemometr Res Grp, SE-90187 Umea, Sweden Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden

Jansson, Stefan
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Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden
机构:
[1] Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, SE-90187 Umea, Sweden
[2] Umea Univ, Dept Chem, Chemometr Res Grp, SE-90187 Umea, Sweden
[3] Hannover Med Sch, Dept Otolaryngol, D-30625 Hannover, Germany
关键词:
D O I:
10.1186/1471-2229-8-61
中图分类号:
Q94 [植物学];
学科分类号:
071001 ;
摘要:
Background: Genomic studies are routinely performed on young plants in controlled environments which is very different from natural conditions. In reality plants in temperate countries are exposed to large fluctuations in environmental conditions, in the case of perennials over several years. We have studied gene expression in leaves of a free-growing aspen ( Populus tremula) throughout multiple growing seasons Results: We show that gene expression during the first month of leaf development was largely determined by a developmental program although leaf expansion, chlorophyll accumulation and the speed of progression through this program was regulated by the temperature. We were also able to define "transcriptional signatures" for four different substages of leaf development. In mature leaves, weather factors were important for gene regulation. Conclusion: This study shows that multivariate methods together with high throughput transcriptional methods in the field can provide additional, novel information as to plant status under changing environmental conditions that is impossible to mimic in laboratory conditions. We have generated a dataset that could be used to e. g. identify marker genes for certain developmental stages or treatments, as well as to assess natural variation in gene expression.
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