Investigation on Tree Molecular Genome of Arabidopsis Thaliana for Internet of Things
Research and regulation of tree growth at molecular level is a new trend in the development of forest biotechnology. However, as the limitations of wood as a research material, it is difficult to operate and compare the growth cycle in the laboratory, which greatly hinders study of the molecular bio...
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Veröffentlicht in: | IEEE access 2018, Vol.6, p.67688-67698 |
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description | Research and regulation of tree growth at molecular level is a new trend in the development of forest biotechnology. However, as the limitations of wood as a research material, it is difficult to operate and compare the growth cycle in the laboratory, which greatly hinders study of the molecular biology of forest trees. Arabidopsis thaliana is the most important model plant in botanical research and is an excellent material for plant molecular biology research. Recent studies have shown that herbaceous Arabidopsis can not only provide genetic resources for tree molecular breeding but also can be used as an auxiliary means of wood molecular biology research and even can be directly used as an experimental model for the study of the molecular mechanism of tree development. This paper mainly discusses the establishment process of the tree molecular gene system platform under the background of the Internet of Things and studies the molecular genome of Arabidopsis, combining the characteristics of the tree itself and using the diversity of the frequency of different bases in the gene fragment to cluster the tree molecular genome, which is a molecular biology research and provides an important way of thinking. |
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However, as the limitations of wood as a research material, it is difficult to operate and compare the growth cycle in the laboratory, which greatly hinders study of the molecular biology of forest trees. Arabidopsis thaliana is the most important model plant in botanical research and is an excellent material for plant molecular biology research. Recent studies have shown that herbaceous Arabidopsis can not only provide genetic resources for tree molecular breeding but also can be used as an auxiliary means of wood molecular biology research and even can be directly used as an experimental model for the study of the molecular mechanism of tree development. 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However, as the limitations of wood as a research material, it is difficult to operate and compare the growth cycle in the laboratory, which greatly hinders study of the molecular biology of forest trees. Arabidopsis thaliana is the most important model plant in botanical research and is an excellent material for plant molecular biology research. Recent studies have shown that herbaceous Arabidopsis can not only provide genetic resources for tree molecular breeding but also can be used as an auxiliary means of wood molecular biology research and even can be directly used as an experimental model for the study of the molecular mechanism of tree development. This paper mainly discusses the establishment process of the tree molecular gene system platform under the background of the Internet of Things and studies the molecular genome of Arabidopsis, combining the characteristics of the tree itself and using the diversity of the frequency of different bases in the gene fragment to cluster the tree molecular genome, which is a molecular biology research and provides an important way of thinking.</description><subject>Arabidopsis thaliana</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>cluster research</subject><subject>Forest management</subject><subject>forest molecular genome</subject><subject>Forestry</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Internet of Things</subject><subject>Molecular biology</subject><subject>Vegetation</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LAzEQXUTBov4CLwueWzPJfmSPpVQtKB6s5zCbTGrKdlOTreC_N3WLOAzMMLz3ZpiXZbfAZgCsuZ8vFsu3txlnIGdc1nUBcJZNOFTNVJSiOv_XX2Y3MW5ZCplGZT3J3lf9F8XBbXBwvs9TrgNR_uI70ocOQ_5Ivd9R7m0-D9g64_fRxXz9gZ3DHnPrQ77qBwo9DUfQ-sP1m3idXVjsIt2c6lX2_rBcL56mz6-Pq8X8eaoLJocpF7LhjQZtdFtqywuDFiwKJNItAIm6RFMxDQSaSdYgl0R1bbgByVq04ipbjbrG41btg9th-FYenfod-LBRGAanO1JQlAiVsaIVRcEFydpoK4REBF7ppk5ad6PWPvjPQ_qJ2vpD6NP5ihdlKRtRCZZQYkTp4GMMZP-2AlNHO9RohzraoU52JNbtyHJE9MeQJeMsqf4AGdqGbg</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Mu, Dan</creator><creator>Liang, Yinghui</creator><creator>Zhang, Wenhui</creator><creator>Wang, Yucheng</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Arabidopsis thaliana Bioinformatics Biology cluster research Forest management forest molecular genome Forestry Genomes Genomics Internet of Things Molecular biology Vegetation |
title | Investigation on Tree Molecular Genome of Arabidopsis Thaliana for Internet of Things |
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