以高耐热玉米品种郑单958、低耐热玉米品种先玉335为材料,以正常生长条件为对照,在花期进行高温胁迫,通过miRNA高通量测序筛选玉米花粉中的差异表达miRNA,然后预测其靶基因,并对靶基因的本体特征和代谢通路进行富集分析。结果表明,共筛...以高耐热玉米品种郑单958、低耐热玉米品种先玉335为材料,以正常生长条件为对照,在花期进行高温胁迫,通过miRNA高通量测序筛选玉米花粉中的差异表达miRNA,然后预测其靶基因,并对靶基因的本体特征和代谢通路进行富集分析。结果表明,共筛选到818个miRNA前体序列。在郑单958高温胁迫花粉与对照花粉对比组(HT958 vs CK958)中共筛选到19个显著差异表达miRNA序列,其中15个miRNA序列上调表达,4个下调表达,3个miRNA序列达到极显著水平(P<0.01)。对这19个显著差异表达miRNA的靶基因进行预测,共获得了503个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、微管生物学过程、磷酸化作用、RNA聚合酶Ⅱ正向调控转录过程、甲基化作用等,KEGG富集较显著的代谢通路分别是谷胱甘肽代谢、碳代谢、花生四烯酸代谢、糖酵解/糖异生、叶酸生物合成等。在先玉335高温胁迫花粉与对照花粉对比组(HT335 vs CK335)中共筛选到15个显著差异表达miRNA序列,其中7个miRNA序列上调表达,8个下调表达,1个miRNA序列达到了极显著水平(P<0.01)。对这15个显著差异表达miRNA的靶基因进行预测,共获得了454个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、磷酸化作用、蛋白质磷酸化作用、蛋白质水解、DNA修复等,富集较显著的KEGG代谢通路分别是其他多糖降解、亚油酸代谢、代谢通路、硫胺素代谢、内质网内蛋白质加工过程等。在郑单958高温胁迫花粉与先玉335高温胁迫花粉对比组(HT985 vs HT335)中共筛选到85个显著差异表达miRNA序列,其中35个miRNA序列为上调表达,50个为下调表达,24个miRNA序列达到了极显著水平(P<0.01)。对这85个显著差异表达miRNA的靶基因进行预测,共获得了2 286个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、磷酸化作用、蛋白质磷酸化、蛋白质水解、跨膜转运等,富集较显著的代谢通路分别是鞘脂类代谢、淀粉和蔗糖代谢、其他多糖降解、代谢通路、半胱氨酸及甲硫氨酸代谢等。在HT958 vs CK958与HT335 vs CK335对比组中共筛选到94个显著差异表达miRNA序列,其中(预测全新)PC-3p-10069_1143、(预测全新)PC-3p-18335_646、(玉米)zma-miR164f-5p等28个miRNA序列达到了极显著水平(P<0.01)。对这94个显著差异表达miRNA的靶基因进行预测,共获得了4 569个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、磷酸化作用、蛋白质磷酸化、蛋白质转运、蛋白质水解等,其富集较显著的KEGG代谢通路分别是内质网内蛋白质加工过程、真核生物核糖体生物合成、剪接体、鞘脂类代谢、内吞作用等。展开更多
Soybean mosaic virus （SMV）, a member of the genus Potyvirus, is a major pathogen of soybean plants in China, and 16 SMV strains have been identified nationwide based on a former detailed SMV classification system. A...Soybean mosaic virus （SMV）, a member of the genus Potyvirus, is a major pathogen of soybean plants in China, and 16 SMV strains have been identified nationwide based on a former detailed SMV classification system. As the P3 gene is thought to be involved in viral replication, systemic infection, pathogenicity, and overcoming resistance, knowledge of the P3 gene sequences of SMV and other potyviruses would be useful in efforts to know the genetic relationships among them and control the disease. P3 gene sequences were obtained from representative isolates of the above-mentioned 16 SMV strains and were compared with other SMV strains and 16 Potyvirus species from the National Center for Biotechnology GenBank database. The P3 genes from the 16 SMV isolates are composed of 1041 nucleotides, encoding 347 amino acids, and share 90.7-100% nucleotide （NT） sequence identities and 95.1-100% amino acid （AA） sequence identities. The P3 coding regions of the 16 SMV isolates share high identities （92.4-98.9% NT and 96.0-100% AA） with the reported Korean isolates, followed by the USA isolates （88.5-97.9% NT and 91.4-98.6% AA）, and share low identities （80.5-85.2% NT and 82.1-84.7% AA） with the reported HZ 1 and P isolates from Pinellia ternata. The sequence identities of the P3 genes between SMV and the 16 potyviruses varied from 44.4 to 81.9% in the NT sequences and from 21.4 to 85.3% in the AA sequences, respectively. Among them, SMV was closely related to Watermelon mosaic virus （WMV）, with 76.0-81.9% NT and 77.5-85.3% AA identities. In addition, the SMV isolates and potyvirus species were clustered into six distinct groups. All the SMV strains isolated from soybean were clustered in Group I, and the remaining species were clustered in other groups. A multiple sequence alignment analysis of the C-terminal regions indicated that the P3 genes within a species were highly conserved, whereas those among species were relatively variable.展开更多
Objective: Ginsenosides, polysaccharides and phenols, the main active ingredients in Panax ginseng, are not different significantly in content between 3 and 5 years old of ginsengs called Yuan ginseng and more than te...Objective: Ginsenosides, polysaccharides and phenols, the main active ingredients in Panax ginseng, are not different significantly in content between 3 and 5 years old of ginsengs called Yuan ginseng and more than ten years old ones called Shizhu ginseng. The responsible chemical compounds cannot fully explain difference in efficacy between them. According to reports in Lonicerae Japonicae Flos(Jinyinhua in Chinese) and Glycyrrhizae Radix et Rhizoma(Gancao in Chinese), microRNA may play a role in efficacy,so we identified microRNAs in P. ginseng at the different growth years and analyzed their target genes.Methods: Using high-throughput sequencing, the RNA-Seq, small RNA-Seq and degradome databases of P. ginseng were constructed. The differentially expressed microRNAs was identified by qRT-PCR.Results: A total of 63,875 unigenes and 24,154,579 small RNA clean reads were obtained from the roots of P. ginseng. From these small RNAs, 71 miRNA families were identified by bioinformatics target prediction software, including 34 conserved miRNAs, 37 non-conserved miRNA families, as well as 179 target genes of 17 known miRNAs. Through degradome sequencing and computation, we finally verified 13 targets of eight miRNAs involved in transcription, energy metabolism, biological stress and disease resistance, suggesting the significance of miRNAs in the development of P. ginseng. Consistently, major miRNA targets exhibited tissue specificity and complexity in expression patterns.Conclusion: Differential expression microRNAs were found in different growth years of ginsengs(Shizhu ginseng and Yuan ginseng), and the regulatory roles and functional annotations of miRNA targets in P. ginseng need further investigation.展开更多
Axon regeneration is crucial for recovery from neurological diseases. Numerous studies have identified several genes, microRNAs （miRNAs）, and transcription factors （TFs） that influence axon regeneration. However, ...Axon regeneration is crucial for recovery from neurological diseases. Numerous studies have identified several genes, microRNAs （miRNAs）, and transcription factors （TFs） that influence axon regeneration. However, the regulatory networks involved have not been fully elucidated. In the present study, we analyzed a regulatory network of 51 miRNAs, 27 TFs, and 59 target genes, which is involved in axon regeneration. We identified 359 pairs of feed- forward loops （FFLs）, seven important genes （Naplll, Arhgef12, Sema6d, Akt3, Trim2, Rabllfip2, and Rps6ka3）, six important miRNAs （hsa-miR-204-5p, hsa-miR-124-3p, hsa-miR-26a-5p, hsa-miR-16-5p, hsa-miR-17-5p, and hsa- miR-15b-5p）, and eight important TFs （Smada2, Flil, Wtl, Sp6, Sp3, Smad4, Smad5, and Crebl）, which appear to play an important role in axon regeneration. Functional enrichment analysis revealed that axon-associated genes are involved mainly in the regulation of cellular component organization, axonogenesis, and cell morphogenesis during neuronal differentiation. However, these findings need to be validated by further studies.展开更多
文摘以高耐热玉米品种郑单958、低耐热玉米品种先玉335为材料,以正常生长条件为对照,在花期进行高温胁迫,通过miRNA高通量测序筛选玉米花粉中的差异表达miRNA,然后预测其靶基因,并对靶基因的本体特征和代谢通路进行富集分析。结果表明,共筛选到818个miRNA前体序列。在郑单958高温胁迫花粉与对照花粉对比组(HT958 vs CK958)中共筛选到19个显著差异表达miRNA序列,其中15个miRNA序列上调表达,4个下调表达,3个miRNA序列达到极显著水平(P<0.01)。对这19个显著差异表达miRNA的靶基因进行预测,共获得了503个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、微管生物学过程、磷酸化作用、RNA聚合酶Ⅱ正向调控转录过程、甲基化作用等,KEGG富集较显著的代谢通路分别是谷胱甘肽代谢、碳代谢、花生四烯酸代谢、糖酵解/糖异生、叶酸生物合成等。在先玉335高温胁迫花粉与对照花粉对比组(HT335 vs CK335)中共筛选到15个显著差异表达miRNA序列,其中7个miRNA序列上调表达,8个下调表达,1个miRNA序列达到了极显著水平(P<0.01)。对这15个显著差异表达miRNA的靶基因进行预测,共获得了454个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、磷酸化作用、蛋白质磷酸化作用、蛋白质水解、DNA修复等,富集较显著的KEGG代谢通路分别是其他多糖降解、亚油酸代谢、代谢通路、硫胺素代谢、内质网内蛋白质加工过程等。在郑单958高温胁迫花粉与先玉335高温胁迫花粉对比组(HT985 vs HT335)中共筛选到85个显著差异表达miRNA序列,其中35个miRNA序列为上调表达,50个为下调表达,24个miRNA序列达到了极显著水平(P<0.01)。对这85个显著差异表达miRNA的靶基因进行预测,共获得了2 286个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、磷酸化作用、蛋白质磷酸化、蛋白质水解、跨膜转运等,富集较显著的代谢通路分别是鞘脂类代谢、淀粉和蔗糖代谢、其他多糖降解、代谢通路、半胱氨酸及甲硫氨酸代谢等。在HT958 vs CK958与HT335 vs CK335对比组中共筛选到94个显著差异表达miRNA序列,其中(预测全新)PC-3p-10069_1143、(预测全新)PC-3p-18335_646、(玉米)zma-miR164f-5p等28个miRNA序列达到了极显著水平(P<0.01)。对这94个显著差异表达miRNA的靶基因进行预测,共获得了4 569个基因转录本,其富集较多的GO生物学过程条目分别为转录调控DNA-模板、磷酸化作用、蛋白质磷酸化、蛋白质转运、蛋白质水解等,其富集较显著的KEGG代谢通路分别是内质网内蛋白质加工过程、真核生物核糖体生物合成、剪接体、鞘脂类代谢、内吞作用等。
基金supported by the National Natural Science Foundation of China(30671266,31101164)the National Basic Research Program of China(2006CB101708,2009CB118404)+2 种基金the National 863 Program of China(2006AA100104)the 111 Project from Ministry of Education of China(B08025)the Youth Science and Technology Innovation Foundation of Nanjing Agriculture University,China(KJ2010002)
文摘Soybean mosaic virus （SMV）, a member of the genus Potyvirus, is a major pathogen of soybean plants in China, and 16 SMV strains have been identified nationwide based on a former detailed SMV classification system. As the P3 gene is thought to be involved in viral replication, systemic infection, pathogenicity, and overcoming resistance, knowledge of the P3 gene sequences of SMV and other potyviruses would be useful in efforts to know the genetic relationships among them and control the disease. P3 gene sequences were obtained from representative isolates of the above-mentioned 16 SMV strains and were compared with other SMV strains and 16 Potyvirus species from the National Center for Biotechnology GenBank database. The P3 genes from the 16 SMV isolates are composed of 1041 nucleotides, encoding 347 amino acids, and share 90.7-100% nucleotide （NT） sequence identities and 95.1-100% amino acid （AA） sequence identities. The P3 coding regions of the 16 SMV isolates share high identities （92.4-98.9% NT and 96.0-100% AA） with the reported Korean isolates, followed by the USA isolates （88.5-97.9% NT and 91.4-98.6% AA）, and share low identities （80.5-85.2% NT and 82.1-84.7% AA） with the reported HZ 1 and P isolates from Pinellia ternata. The sequence identities of the P3 genes between SMV and the 16 potyviruses varied from 44.4 to 81.9% in the NT sequences and from 21.4 to 85.3% in the AA sequences, respectively. Among them, SMV was closely related to Watermelon mosaic virus （WMV）, with 76.0-81.9% NT and 77.5-85.3% AA identities. In addition, the SMV isolates and potyvirus species were clustered into six distinct groups. All the SMV strains isolated from soybean were clustered in Group I, and the remaining species were clustered in other groups. A multiple sequence alignment analysis of the C-terminal regions indicated that the P3 genes within a species were highly conserved, whereas those among species were relatively variable.
基金supported by the National Natural Science Foundation for Young Scholars of China (No. 81403195)。
文摘Objective: Ginsenosides, polysaccharides and phenols, the main active ingredients in Panax ginseng, are not different significantly in content between 3 and 5 years old of ginsengs called Yuan ginseng and more than ten years old ones called Shizhu ginseng. The responsible chemical compounds cannot fully explain difference in efficacy between them. According to reports in Lonicerae Japonicae Flos(Jinyinhua in Chinese) and Glycyrrhizae Radix et Rhizoma(Gancao in Chinese), microRNA may play a role in efficacy,so we identified microRNAs in P. ginseng at the different growth years and analyzed their target genes.Methods: Using high-throughput sequencing, the RNA-Seq, small RNA-Seq and degradome databases of P. ginseng were constructed. The differentially expressed microRNAs was identified by qRT-PCR.Results: A total of 63,875 unigenes and 24,154,579 small RNA clean reads were obtained from the roots of P. ginseng. From these small RNAs, 71 miRNA families were identified by bioinformatics target prediction software, including 34 conserved miRNAs, 37 non-conserved miRNA families, as well as 179 target genes of 17 known miRNAs. Through degradome sequencing and computation, we finally verified 13 targets of eight miRNAs involved in transcription, energy metabolism, biological stress and disease resistance, suggesting the significance of miRNAs in the development of P. ginseng. Consistently, major miRNA targets exhibited tissue specificity and complexity in expression patterns.Conclusion: Differential expression microRNAs were found in different growth years of ginsengs(Shizhu ginseng and Yuan ginseng), and the regulatory roles and functional annotations of miRNA targets in P. ginseng need further investigation.
基金Project supported by the Key Project of Hebei North University(No.120177)the Science and Technology Bureau Research Development Plan of Zhangjiakou City in Hebei(No.0911021D-4)China
文摘Axon regeneration is crucial for recovery from neurological diseases. Numerous studies have identified several genes, microRNAs （miRNAs）, and transcription factors （TFs） that influence axon regeneration. However, the regulatory networks involved have not been fully elucidated. In the present study, we analyzed a regulatory network of 51 miRNAs, 27 TFs, and 59 target genes, which is involved in axon regeneration. We identified 359 pairs of feed- forward loops （FFLs）, seven important genes （Naplll, Arhgef12, Sema6d, Akt3, Trim2, Rabllfip2, and Rps6ka3）, six important miRNAs （hsa-miR-204-5p, hsa-miR-124-3p, hsa-miR-26a-5p, hsa-miR-16-5p, hsa-miR-17-5p, and hsa- miR-15b-5p）, and eight important TFs （Smada2, Flil, Wtl, Sp6, Sp3, Smad4, Smad5, and Crebl）, which appear to play an important role in axon regeneration. Functional enrichment analysis revealed that axon-associated genes are involved mainly in the regulation of cellular component organization, axonogenesis, and cell morphogenesis during neuronal differentiation. However, these findings need to be validated by further studies.
