Illumina sequencing technology

De novo transcriptome analysis of tobacco seedlings and identification of the early response gene network under low-potassium stress

L. Q. Li, Li, J., Chen, Y., Lu, Y. F., Lu, L. M., Li, L. Q., Li, J., Chen, Y., Lu, Y. F., and Lu, L. M., De novo transcriptome analysis of tobacco seedlings and identification of the early response gene network under low-potassium stress, vol. 15, p. -, 2016.

Tobacco is an economically important crop, and its potassium content can greatly affect the quality of tobacco leaves. However, the molecular mechanism involved in potassium starvation in tobacco has not been elucidated to date. In this study, Illumina (Solexa) sequencing technology was used to analyze the transcriptome of tobacco seedlings under low-potassium stress for 6, 12, and 24 h. After analysis, 107,824 assembled unigenes were categorized into 57 GO functional groups, and 31,379 unigenes (29.08%) were clustered into 25 COG categories.

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