颜仁梁, 梁永枢, 周国洪, 夏黎, 林励, 周代营. 化州柚与柚的转录组比较及黄酮生物合成差异表达基因分析[J]. 华南师范大学学报(自然科学版), 2020, 52(4): 71-78. doi: 10.6054/j.jscnun.2020063
引用本文: 颜仁梁, 梁永枢, 周国洪, 夏黎, 林励, 周代营. 化州柚与柚的转录组比较及黄酮生物合成差异表达基因分析[J]. 华南师范大学学报(自然科学版), 2020, 52(4): 71-78. doi: 10.6054/j.jscnun.2020063
YAN Renliang, LIANG Yongshu, ZHOU Guohong, XIA Li, LIN Li, ZHOU Daiying. Differentially Expressed Genes in Flavonoid Biosynthesis and Transcriptome of Citrus Grandis 'Tomentosa' and Citrus Grandis (L.) Osbeck[J]. Journal of South China Normal University (Natural Science Edition), 2020, 52(4): 71-78. doi: 10.6054/j.jscnun.2020063
Citation: YAN Renliang, LIANG Yongshu, ZHOU Guohong, XIA Li, LIN Li, ZHOU Daiying. Differentially Expressed Genes in Flavonoid Biosynthesis and Transcriptome of Citrus Grandis 'Tomentosa' and Citrus Grandis (L.) Osbeck[J]. Journal of South China Normal University (Natural Science Edition), 2020, 52(4): 71-78. doi: 10.6054/j.jscnun.2020063

化州柚与柚的转录组比较及黄酮生物合成差异表达基因分析

Differentially Expressed Genes in Flavonoid Biosynthesis and Transcriptome of Citrus Grandis 'Tomentosa' and Citrus Grandis (L.) Osbeck

  • 摘要: 为获得化州柚和柚的转录组数据及黄酮类成分生物合成相关的差异表达基因,采集化州柚和柚的嫩叶样本作为受试材料,采用高通量二代测序技术进行转录组测序,并运用Nr、Swiss-Prot、KOG、KEGG等网络数据库进行转录组中表达基因功能的生物信息学分析,共组装得到116 202个单基因(Unigene),注释了68 923个单基因(59.31%),柚转录组中表达基因有94 798个,化州柚中表达基因107 196个,化州柚与柚的转录组差异表达基因共6 419个.结果表明:化州柚相对于柚上调基因有3 799个,占差异表达基因的59.18%,下调基因2 620个,占40.82%.通过与KEGG数据库进行比对,共获得771个基因功能注释,涉及125条代谢通路,找到9个与类黄酮、黄酮和黄酮醇生物合成相关基因,为化州柚和柚的化学成分差异分子基础研究奠定了基因数据基础.

     

    Abstract: To obtain the transcriptome database and differentially expressed genes of Citrus grandis 'Tomentosa'(CGT) and Citrus grandis (L.) Osbeck (CGO), three samples of CGT and CGO leaves were collected as test materials. The transcriptome sequencing was performed with the second-generation sequencing method, and the bioinformatic analysis was performed using Nr, Swiss-Prot, KOG, KEGG and other databases. 116 202 Unigenes were assembled and 68 923 genes (59.31%) were annotated. 94 798 genomic expression genes were found in the CGO transcriptome and 107 196 genes in the CGT transcriptome. A total of 6 419 differentially expressed genes (DEGs) were found in CGT and CGO. The results showed that 3 799 DEGs of CGT were up-regulated relative to CGO, accounting for 59.18% and 2 620 DEGs were down-regulated, accounting for 40.82%. Compared with the KEGG database, a total of 771 genes were annotated, involving 125 metabolic pathways, and 9 DEGs related to flavonoids or flavone and flavonol biosynthesis were found. The established transcriptome database of CGT and CGO and the functional annotations of related genes lay a foundation of genetic data for the basic molecular research on the chemical constituents of CGT and CGO.

     

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