In silico MCMV Silencing Concludes Potential Host-Derived miRNAs in Maize
Maize Chlorotic Mottle Virus (MCMV) is a deleterious pathogen which causes Maize Lethal Necrosis Disease (MLND) that results in substantial yield loss of Maize crop worldwide. The positive-sense RNA genome of MCMV (4.4 kb) encodes six proteins: P32 (32 kDa protein), RNA dependent RNA polymerases (P5...
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creator | Iqbal, Muhammad Shahzad Jabbar, Basit Sharif, Muhammad Nauman Ali, Qurban Husnain, Tayyab Nasir, Idrees A |
description | Maize Chlorotic Mottle Virus (MCMV) is a deleterious pathogen which causes Maize Lethal Necrosis Disease (MLND) that results in substantial yield loss of Maize crop worldwide. The positive-sense RNA genome of MCMV (4.4 kb) encodes six proteins: P32 (32 kDa protein), RNA dependent RNA polymerases (P50 and P111), P31 (31 kDa protein), P7 (7 kDa protein), coat protein (25 kDa). P31, P7 and coat protein are encoded from sgRNA1, located at the 3'end of the genome and sgRNA2 is located at the extremity of the 3'genome end. The objective of this study is to locate the possible attachment sites of
derived miRNAs in the genome of MCMV using four diverse miRNA target prediction algorithms. In total, 321 mature miRNAs were retrieved from miRBase (miRNA database) and were tested for hybridization of MCMV genome. These algorithms considered the parameters of seed pairing, minimum free energy, target site accessibility, multiple target sites, pattern recognition and folding energy for attachment. Out of 321 miRNAs only 10 maize miRNAs are predicted for silencing of MCMV genome. The results of this study can hence act as the first step towards the development of MCMV resistant transgenic Maize plants through expression of the selected miRNAs. |
doi_str_mv | 10.3389/fpls.2017.00372 |
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derived miRNAs in the genome of MCMV using four diverse miRNA target prediction algorithms. In total, 321 mature miRNAs were retrieved from miRBase (miRNA database) and were tested for hybridization of MCMV genome. These algorithms considered the parameters of seed pairing, minimum free energy, target site accessibility, multiple target sites, pattern recognition and folding energy for attachment. Out of 321 miRNAs only 10 maize miRNAs are predicted for silencing of MCMV genome. The results of this study can hence act as the first step towards the development of MCMV resistant transgenic Maize plants through expression of the selected miRNAs.</description><identifier>ISSN: 1664-462X</identifier><identifier>EISSN: 1664-462X</identifier><identifier>DOI: 10.3389/fpls.2017.00372</identifier><identifier>PMID: 28400775</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>Plant Science</subject><ispartof>Frontiers in plant science, 2017-03, Vol.8, p.372-372</ispartof><rights>Copyright © 2017 Iqbal, Jabbar, Sharif, Ali, Husnain, Henry and Nasir. 2017 Iqbal, Jabbar, Sharif, Ali, Husnain, Henry and Nasir</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-8fa6fb89c37b90767d72bda06d61f314d9317972e8586507693266f7359abbf93</citedby><cites>FETCH-LOGICAL-c393t-8fa6fb89c37b90767d72bda06d61f314d9317972e8586507693266f7359abbf93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368279/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368279/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28400775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Iqbal, Muhammad Shahzad</creatorcontrib><creatorcontrib>Jabbar, Basit</creatorcontrib><creatorcontrib>Sharif, Muhammad Nauman</creatorcontrib><creatorcontrib>Ali, Qurban</creatorcontrib><creatorcontrib>Husnain, Tayyab</creatorcontrib><creatorcontrib>Nasir, Idrees A</creatorcontrib><title>In silico MCMV Silencing Concludes Potential Host-Derived miRNAs in Maize</title><title>Frontiers in plant science</title><addtitle>Front Plant Sci</addtitle><description>Maize Chlorotic Mottle Virus (MCMV) is a deleterious pathogen which causes Maize Lethal Necrosis Disease (MLND) that results in substantial yield loss of Maize crop worldwide. The positive-sense RNA genome of MCMV (4.4 kb) encodes six proteins: P32 (32 kDa protein), RNA dependent RNA polymerases (P50 and P111), P31 (31 kDa protein), P7 (7 kDa protein), coat protein (25 kDa). P31, P7 and coat protein are encoded from sgRNA1, located at the 3'end of the genome and sgRNA2 is located at the extremity of the 3'genome end. The objective of this study is to locate the possible attachment sites of
derived miRNAs in the genome of MCMV using four diverse miRNA target prediction algorithms. In total, 321 mature miRNAs were retrieved from miRBase (miRNA database) and were tested for hybridization of MCMV genome. These algorithms considered the parameters of seed pairing, minimum free energy, target site accessibility, multiple target sites, pattern recognition and folding energy for attachment. Out of 321 miRNAs only 10 maize miRNAs are predicted for silencing of MCMV genome. The results of this study can hence act as the first step towards the development of MCMV resistant transgenic Maize plants through expression of the selected miRNAs.</description><subject>Plant Science</subject><issn>1664-462X</issn><issn>1664-462X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpVkctPwzAMxiMEYtPYmRvKkUu3pGnzuCBN47FJGyBe4halbTqC0mY07ST462nZQMMXW_LPny1_AJxiNCKEi3G-tn4UIsxGCBEWHoA-pjQKIhq-Hu7VPTD0_h21ESMkBDsGvZBHCDEW98F8XkJvrEkdXE6XL_DRWF2mplzBqStT22Taw3tX67I2ysKZ83VwqSuz0RkszMPtxENTwqUyX_oEHOXKej3c5QF4vr56ms6Cxd3NfDpZBCkRpA54rmiecJESlgjEKMtYmGQK0YzinOAoEwQzwULNY07jFhAkpDRnJBYqSXJBBuBiq7tukkJnaXtapaxcV6ZQ1ad0ysj_ndK8yZXbyJhQHrJO4HwnULmPRvtaFsan2lpVatd4iTlnKI4xJy063qJp5byvdP63BiPZeSA7D2TngfzxoJ0427_uj__9OPkGf8GCHg</recordid><startdate>20170328</startdate><enddate>20170328</enddate><creator>Iqbal, Muhammad Shahzad</creator><creator>Jabbar, Basit</creator><creator>Sharif, Muhammad Nauman</creator><creator>Ali, Qurban</creator><creator>Husnain, Tayyab</creator><creator>Nasir, Idrees A</creator><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170328</creationdate><title>In silico MCMV Silencing Concludes Potential Host-Derived miRNAs in Maize</title><author>Iqbal, Muhammad Shahzad ; Jabbar, Basit ; Sharif, Muhammad Nauman ; Ali, Qurban ; Husnain, Tayyab ; Nasir, Idrees A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-8fa6fb89c37b90767d72bda06d61f314d9317972e8586507693266f7359abbf93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Plant Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iqbal, Muhammad Shahzad</creatorcontrib><creatorcontrib>Jabbar, Basit</creatorcontrib><creatorcontrib>Sharif, Muhammad Nauman</creatorcontrib><creatorcontrib>Ali, Qurban</creatorcontrib><creatorcontrib>Husnain, Tayyab</creatorcontrib><creatorcontrib>Nasir, Idrees A</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Frontiers in plant science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iqbal, Muhammad Shahzad</au><au>Jabbar, Basit</au><au>Sharif, Muhammad Nauman</au><au>Ali, Qurban</au><au>Husnain, Tayyab</au><au>Nasir, Idrees A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico MCMV Silencing Concludes Potential Host-Derived miRNAs in Maize</atitle><jtitle>Frontiers in plant science</jtitle><addtitle>Front Plant Sci</addtitle><date>2017-03-28</date><risdate>2017</risdate><volume>8</volume><spage>372</spage><epage>372</epage><pages>372-372</pages><issn>1664-462X</issn><eissn>1664-462X</eissn><abstract>Maize Chlorotic Mottle Virus (MCMV) is a deleterious pathogen which causes Maize Lethal Necrosis Disease (MLND) that results in substantial yield loss of Maize crop worldwide. The positive-sense RNA genome of MCMV (4.4 kb) encodes six proteins: P32 (32 kDa protein), RNA dependent RNA polymerases (P50 and P111), P31 (31 kDa protein), P7 (7 kDa protein), coat protein (25 kDa). P31, P7 and coat protein are encoded from sgRNA1, located at the 3'end of the genome and sgRNA2 is located at the extremity of the 3'genome end. The objective of this study is to locate the possible attachment sites of
derived miRNAs in the genome of MCMV using four diverse miRNA target prediction algorithms. In total, 321 mature miRNAs were retrieved from miRBase (miRNA database) and were tested for hybridization of MCMV genome. These algorithms considered the parameters of seed pairing, minimum free energy, target site accessibility, multiple target sites, pattern recognition and folding energy for attachment. Out of 321 miRNAs only 10 maize miRNAs are predicted for silencing of MCMV genome. The results of this study can hence act as the first step towards the development of MCMV resistant transgenic Maize plants through expression of the selected miRNAs.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>28400775</pmid><doi>10.3389/fpls.2017.00372</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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title | In silico MCMV Silencing Concludes Potential Host-Derived miRNAs in Maize |
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