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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE access 2018, Vol.6, p.67688-67698
Hauptverfasser: Mu, Dan, Liang, Yinghui, Zhang, Wenhui, Wang, Yucheng
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 67698
container_issue
container_start_page 67688
container_title IEEE access
container_volume 6
creator Mu, Dan
Liang, Yinghui
Zhang, Wenhui
Wang, Yucheng
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.
doi_str_mv 10.1109/ACCESS.2018.2877411
format Article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_proquest_journals_2455893630</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8502036</ieee_id><doaj_id>oai_doaj_org_article_145a16df3b34423e87dcf338aa126c97</doaj_id><sourcerecordid>2455893630</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-238929c1cdcb5cf24daf1fa3aeecb11e375ad60c1e1c0809a28ee77d2d180baf3</originalsourceid><addsrcrecordid>eNpNUU1LAzEQXUTBov4CLwueWzPJfmSPpVQtKB6s5zCbTGrKdlOTreC_N3WLOAzMMLz3ZpiXZbfAZgCsuZ8vFsu3txlnIGdc1nUBcJZNOFTNVJSiOv_XX2Y3MW5ZCplGZT3J3lf9F8XBbXBwvs9TrgNR_uI70ocOQ_5Ivd9R7m0-D9g64_fRxXz9gZ3DHnPrQ77qBwo9DUfQ-sP1m3idXVjsIt2c6lX2_rBcL56mz6-Pq8X8eaoLJocpF7LhjQZtdFtqywuDFiwKJNItAIm6RFMxDQSaSdYgl0R1bbgByVq04ipbjbrG41btg9th-FYenfod-LBRGAanO1JQlAiVsaIVRcEFydpoK4REBF7ppk5ad6PWPvjPQ_qJ2vpD6NP5ihdlKRtRCZZQYkTp4GMMZP-2AlNHO9RohzraoU52JNbtyHJE9MeQJeMsqf4AGdqGbg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2455893630</pqid></control><display><type>article</type><title>Investigation on Tree Molecular Genome of Arabidopsis Thaliana for Internet of Things</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Mu, Dan ; Liang, Yinghui ; Zhang, Wenhui ; Wang, Yucheng</creator><creatorcontrib>Mu, Dan ; Liang, Yinghui ; Zhang, Wenhui ; Wang, Yucheng</creatorcontrib><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.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2018.2877411</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Arabidopsis thaliana ; Bioinformatics ; Biology ; cluster research ; Forest management ; forest molecular genome ; Forestry ; Genomes ; Genomics ; Internet of Things ; Molecular biology ; Vegetation</subject><ispartof>IEEE access, 2018, Vol.6, p.67688-67698</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-238929c1cdcb5cf24daf1fa3aeecb11e375ad60c1e1c0809a28ee77d2d180baf3</citedby><cites>FETCH-LOGICAL-c408t-238929c1cdcb5cf24daf1fa3aeecb11e375ad60c1e1c0809a28ee77d2d180baf3</cites><orcidid>0000-0003-3199-4303</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8502036$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,865,2103,4025,27637,27927,27928,27929,54937</link.rule.ids></links><search><creatorcontrib>Mu, Dan</creatorcontrib><creatorcontrib>Liang, Yinghui</creatorcontrib><creatorcontrib>Zhang, Wenhui</creatorcontrib><creatorcontrib>Wang, Yucheng</creatorcontrib><title>Investigation on Tree Molecular Genome of Arabidopsis Thaliana for Internet of Things</title><title>IEEE access</title><addtitle>Access</addtitle><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.</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. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3199-4303</orcidid></search><sort><creationdate>2018</creationdate><title>Investigation on Tree Molecular Genome of Arabidopsis Thaliana for Internet of Things</title><author>Mu, Dan ; Liang, Yinghui ; Zhang, Wenhui ; Wang, Yucheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-238929c1cdcb5cf24daf1fa3aeecb11e375ad60c1e1c0809a28ee77d2d180baf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Arabidopsis thaliana</topic><topic>Bioinformatics</topic><topic>Biology</topic><topic>cluster research</topic><topic>Forest management</topic><topic>forest molecular genome</topic><topic>Forestry</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Internet of Things</topic><topic>Molecular biology</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mu, Dan</creatorcontrib><creatorcontrib>Liang, Yinghui</creatorcontrib><creatorcontrib>Zhang, Wenhui</creatorcontrib><creatorcontrib>Wang, Yucheng</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mu, Dan</au><au>Liang, Yinghui</au><au>Zhang, Wenhui</au><au>Wang, Yucheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigation on Tree Molecular Genome of Arabidopsis Thaliana for Internet of Things</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2018</date><risdate>2018</risdate><volume>6</volume><spage>67688</spage><epage>67698</epage><pages>67688-67698</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>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.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2018.2877411</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3199-4303</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2169-3536
ispartof IEEE access, 2018, Vol.6, p.67688-67698
issn 2169-3536
2169-3536
language eng
recordid cdi_proquest_journals_2455893630
source IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T01%3A54%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Investigation%20on%20Tree%20Molecular%20Genome%20of%20Arabidopsis%20Thaliana%20for%20Internet%20of%20Things&rft.jtitle=IEEE%20access&rft.au=Mu,%20Dan&rft.date=2018&rft.volume=6&rft.spage=67688&rft.epage=67698&rft.pages=67688-67698&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2018.2877411&rft_dat=%3Cproquest_doaj_%3E2455893630%3C/proquest_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2455893630&rft_id=info:pmid/&rft_ieee_id=8502036&rft_doaj_id=oai_doaj_org_article_145a16df3b34423e87dcf338aa126c97&rfr_iscdi=true