Isolation and characterization of genes associated with shade-induced apple abscission

Apple trees generally produce excessive number of flowers and young fruitlets, which negatively affects commercial value. Thus, thinning is an important practice by which excessive flowers and fruitlets abort. Fruit abscission is difficult to predict or control, as many factors including shading can...

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Veröffentlicht in:Molecular genetics and genomics : MGG 2008-07, Vol.280 (1), p.83-92, Article 83
Hauptverfasser: Zhou, Chunjiang, Lakso, Alan N, Robinson, Terence L, Gan, Susheng
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Sprache:eng
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Zusammenfassung:Apple trees generally produce excessive number of flowers and young fruitlets, which negatively affects commercial value. Thus, thinning is an important practice by which excessive flowers and fruitlets abort. Fruit abscission is difficult to predict or control, as many factors including shading can cause fruitlets to abort. In order to understand the molecular basis of shade-induced fruit abscission, two cDNA libraries were constructed using the suppression-subtractive hybridization (SSH) method and 347 expressed sequence tags (ESTs) were obtained. 168 ESTs represent transcripts that are preferentially expressed after 24 h of shading, and the other 179 are derived from RNAs of small apple fruits that were shaded for 72 h. Sequence analyses revealed that these clones represent 68 (24 h) and 44 (72 h) unique genes; these genes belong in eight functional categories. The largest set of genes is related to carbohydrate metabolism including the sorbitol 6-phosphate dehydrogenase (S6PDH) gene that was generally believed not to be expressed in young fruits, while the second largest group contains unclassified or unknown genes. RNA gel blot analysis confirmed that at least 26 genes are up-regulated after shade treatment. Some of these known genes may serve as molecular markers for apple monitoring the induction of fruitlet abscission. Improved genetic understanding is critical to the development of targeted abscission agents to better control apple crop loads and optimize apple production.
ISSN:1617-4615
1617-4623
DOI:10.1007/s00438-008-0348-z