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作 者:张雪[1] 唐铭浩[1] 陈蒙[1] 李春艳[1] 刘海峰[1]
出 处:《果树学报》2017年第7期781-789,共9页Journal of Fruit Science
基 金:国家自然科学基金(31260067);吉教科合字[2016]第255号
摘 要:【目的】探究山葡萄果皮转色过程中相关基因的表达。【方法】以不同成熟期的山葡萄果皮为材料,采用高通量测序技术进行转录组分析,探讨其转色过程中花色苷含量及其相关基因的变化。【结果】经过测序得到3个时期的clean reads分别为:转色前20 157 930条,50%着色期16 197 432条,完熟期16 410 824条;GC含量分别为48.41%、48.04%和49.54%;各时期的Q30大于等于94.73%。通过与参考基因组进行序列比对,各样品Read与参考基因组的比对效率为60.57%~67.77%,并且唯一比对位置的数量均超过58.99%,比对到基因组上的序列绝大部分分布在外显子区,均为96.3%以上。本试验将3个样品中转色前分别与50%成熟期和完熟期进行了基因差异表达统计分析,结果显示COG功能注释分别为1 305、1 602个。【结论】明确了山葡萄果皮转色过程中相关基因的变化,为进一步大量挖掘山葡萄果皮成熟过程中重要表达基因奠定一定的基础。[Objective] Vitis amurensis is one of the most cold-resistant Vitis plants, therefore, it is a valueable resourse for cold-resistant breeding in Vitis plants. The fruits of F. amurensis are rich in proteins, carbohydrates, minerals and many kinds of vitamins. The fruit color is an important character influencing fruit quality. The fruit color is mainly decided by content and composition of anthocyanins. The biosynthesis process of anthocyanin is very complicated is influenced by many genes. Therefore the study of the expression of related genes during color transformation of the fruits is of great value. [Methods] The fruit skins of F. amurensis were collected during different ripening stages, before color-changed, 50% colorchanged and full ripe stage as experimental materials and high-throughput sequencing technology Illumi- naHiSeq was used to conduct sequencing. After data filtering, we got Clean Data and run sequence com- parison with designated reference genome to obtain Mapped Data and then we did transcriptome analysis. [Results] Through transcriptome sequencing and analysis of the related genes in the skins toward three different ripening stages, clean reads were obtained and they were 20 157 930 for before color-changed, 16 197 432 for 50% color-changed and 16 410 824 for full ripe stage, the GC contents were 48.41%, 48.04% and 49.54% respectively. The Q30 contents of three different maturation periods were or were over 94.73%, indicating the high quality of transcriptome sequencing and the high accuracy of the data. TopHat2 was adopted to do sequence alignment between Clean Reads and reference genome to obtain the position information of maturation related genes on reference genome or genes. The sequence alignment efficiency between reads of three different maturation periods and reference genome was from 60.57% to 67.77%, for unique alignment position the sequence alignment efficiency between reads of all samples and reference genome was over 58.99%. Most sequences that aligned with reference genome we
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