Resource Institute for Chinese and Ethnic Materia Medica, Guizhou University of Traditional Chinese Medicine, Guizhou, 550025, China.
BMC Genomics. 2023 Apr 4;24(1):164. doi: 10.1186/s12864-023-09260-1.
Gastrodia elata (tianma), a well-known medicinal orchid, is widely used to treat various kinds of diseases with its dried tuber. In recent years, new chromosome-level genomes of G.elata have been released in succession, which offer an enormous resource pool for understanding gene function. Previously we have constructed GelFAP for gene functional analysis of G.elata. As genomes are updated and transcriptome data is accumulated, collection data in GelFAP cannot meet the need of researchers.
Based on new chromosome-level genome and transcriptome data, we constructed co-expression network of G. elata, and then we annotated genes by aligning with sequences from NR, TAIR, Uniprot and Swissprot database. GO (Gene Ontology) and KEGG (Kyoto Encylopaedia of Genes and Genomes) annotations were predicted by InterProScan and GhostKOALA software. Gene families were further predicted by iTAK (Plant Transcription factor and Protein kinase Identifier and Classifier), HMMER (hidden Markov models), InParanoid. Finally, we developed an improved platform for gene functional analysis in G. elata (GelFAP v2.0) by integrating new genome, transcriptome data and processed functional annotation. Several tools were also introduced to platform including BLAST (Basic Local Alignment Search Tool), GSEA (Gene Set Enrichment Analysis), Heatmap, JBrowse, Motif analysis and Sequence extraction. Based on this platform, we found that the flavonoid biosynthesis might be regulated by transcription factors (TFs) such as MYB, HB and NAC. We also took C4H and GAFP4 as examples to show the usage of our platform.
An improved platform for gene functional analysis in G. elata (GelFAP v2.0, www.gzybioinformatics.cn/Gelv2 ) was constructed, which provides better genome data, more transcriptome resources and more analysis tools. The updated platform might be preferably benefit researchers to carry out gene functional research for their project.
天麻(gastrodia elata)是一种著名的药用兰花,其干燥块茎被广泛用于治疗各种疾病。近年来,天麻的新染色体水平基因组相继发布,为了解基因功能提供了巨大的资源库。之前,我们已经构建了 GelFAP 用于天麻基因功能分析。随着基因组的更新和转录组数据的积累,GelFAP 中的收集数据已不能满足研究人员的需求。
基于新的染色体水平基因组和转录组数据,我们构建了天麻的共表达网络,然后通过与 NR、TAIR、UniProt 和 Swissprot 数据库中的序列进行比对来注释基因。GO(基因本体论)和 KEGG(京都基因与基因组百科全书)注释通过 InterProScan 和 GhostKOALA 软件进行预测。通过 iTAK(植物转录因子和蛋白激酶识别与分类器)、HMMER(隐马尔可夫模型)、InParanoid 进一步预测基因家族。最后,我们通过整合新的基因组、转录组数据和处理后的功能注释,开发了一个改进的天麻基因功能分析平台(GelFAP v2.0)。该平台还引入了几个工具,包括 BLAST(基本局部比对搜索工具)、GSEA(基因集富集分析)、热图、JBrowse、Motif 分析和序列提取。基于这个平台,我们发现类黄酮生物合成可能受到转录因子(TFs)如 MYB、HB 和 NAC 的调控。我们还以 C4H 和 GAFP4 为例展示了我们平台的使用。
构建了一个改进的天麻基因功能分析平台(GelFAP v2.0,www.gzybioinformatics.cn/Gelv2),提供了更好的基因组数据、更多的转录组资源和更多的分析工具。更新后的平台可能更有利于研究人员开展基因功能研究,以满足其项目需求。