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作 者:韦丽君[1] 俞奔驰[1] 吕平[1] 檀小辉[1] 雷开文 马崇熙[1] 卢赛清[1] 唐玉娟[1] Wei Lijun;Yu Benchi;LüPing;Tan Xiaohui;Lei Kaiwen;Ma Chongxi;Lu Saiqing;Tang Yujuan(Guangxi Subtropical Crops Research Institute,Nanning,530001)
机构地区:[1]广西壮族自治区亚热带作物研究所,南宁530001
出 处:《分子植物育种》2020年第7期2108-2117,共10页Molecular Plant Breeding
基 金:广西自然科学基金项目(2017GXNSFBA198172);广西科技计划项目(桂科AB1850037,桂科AB16380080)共同资助。
摘 要:本研究以木薯花芽与叶芽为材料,通过Illumina HiSeqTM4000测序平台对其进行转录组测序,结果获得高质量序列45 010 506个、碱基数13.46 Gb,GC含量在43.5%以上、比对效率在78%以上。筛选得到3 782个差异表达基因(DEGs),其中上调2 409个、下调1 373个。DEGs涉及的主要功能有一般功能预测,翻译,复制、重组与修复,信号传导机制,次生产物合成、运输与代谢,翻译后修饰、蛋白质周转和分子伴侣,氨基酸运输与代谢,碳水化合物运输与代谢。DEGs显著富集的KEGG通路主要有植物激素信号传导、苯丙烷类生物合成、淀粉和蔗糖代谢、苯丙氨酸代谢、氨基酸的生物合成和碳代谢。获得植物开花相关基因47个,其中39个上调表达、8个下调表达。研究结果在一定程度上解析了木薯花芽分化的分子机制,并为后续的深入研究提供了基础数据。The transcriptome of flower buds and leaf buds from cassava were sequenced with Illumina HiSeqTM4000 platform in this study.The results showed that a total of 45010506 clean reads and 13.46 Gb clean bases were obtained,and the GC content above 43.5%,the mapped ratio above 78%.Differential expression analysis showed that 3782 differentially expressed genes(DEGs)were found,including 2409 up-regulated genes and 1373 down-regulated genes.The main functions involved in DEGs were general functional prediction,transcription,replication,recombination and repair,signal transduction mechanisms,secondary metabolites biosynthesis,transport and catabolism,posttranslational modification,protein turnover,chaperones,amino acid transport and metabolism,carbohydrate transport and metabolism.DEGs were enriched singnificantly in KEGG pathways such as plant hormone signal transduction,phenylpropanoid biosynthesis,starch and sucrose metabolism,phenylalanine metabolism,biosynthesis of amino acids and carbon metabolism.A total of 47 flowering-related genes were obtained,including 39 up regulated genes and 8 down-regulated genes.These results explained molecular mechanism of cassava flower bud differentiation to some extent and provided basic data for thorough study in the future.
关 键 词:木薯(Manihot esculenta) 转录组测序 花芽分化 开花基因
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