Loading…
Molecular discrimination of maize CMS type and genetic relationship using RAMs markers
Molecular characterization of CMS is an environmentally-independent tool and represents an alternative way to consider genetic variation within and between the different maize populations. The current study which consisted of six cms lines of maize in the 8th generation (S8) revealed that all of the...
Saved in:
Published in: | IOP conference series. Earth and environmental science 2019-11, Vol.388 (1), p.12043 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c3063-eab18baf7892cf9a6c67533639c1e2f0694d6e7f3c56911ab0781cdd1efd00173 |
container_end_page | |
container_issue | 1 |
container_start_page | 12043 |
container_title | IOP conference series. Earth and environmental science |
container_volume | 388 |
creator | Alfalahi, A O Theer, R M Mohammed, M A Abdullah, M H Dhannoon, O M Hussein, Z T Drej, M M |
description | Molecular characterization of CMS is an environmentally-independent tool and represents an alternative way to consider genetic variation within and between the different maize populations. The current study which consisted of six cms lines of maize in the 8th generation (S8) revealed that all of these lines were C-type. The adopted six specific markers (forward and reverse) in detecting the three cms types produced a fragment with a molecular size of ∼350 bp. The used RAMs markers (UBC-810, UBC-812, UBC-821, UBC-848, UBC-854 and UBC-855) produced a total of 36 fragments across the lines genomes, 25 out of them were polymorphic scoring a polymorphism percentage of 69.4%. The PIC values indicated that UBC-821 was the most discriminative primer with a PIC value of 0.40 compared to UBC-854, and UBC-855 primers which had the humble capability to distinguish between the studied inbreds with a PIC value of 0.33. The results of cluster analysis based on the molecular discrimination confirmed that A1 has the lowest values of genetic similarity, hence it was the most genetically divergent against the other cms inbred lines, especially A6 (0.42). On the other hand, A2 and A3 lines found to be genetically related by scoring the maximum genetic similarity (0.92). Molecular investigations have several advantages over the traditional methods and will be helpful in the real evaluation of any genotype. |
doi_str_mv | 10.1088/1755-1315/388/1/012043 |
format | article |
fullrecord | <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2558186492</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2558186492</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3063-eab18baf7892cf9a6c67533639c1e2f0694d6e7f3c56911ab0781cdd1efd00173</originalsourceid><addsrcrecordid>eNqFkF9LwzAUxYMoOKdfQQK--FKX27RJ-zjG_AMbglNfQ5YmM7NratI-zE9va0URBJ_uvdzzO5d7EDoHcgUkyybA0zQCCumE9tOEQEwSeoBG34vD757wY3QSwpYQxhOaj9Dz0pVataX0uLBBebuzlWysq7AzeCftu8az5Qo3-1pjWRV4oyvdWIW9Lj9l4cXWuA222uCH6TJ0iH_VPpyiIyPLoM--6hg9Xc8fZ7fR4v7mbjZdRIoSRiMt15CtpeFZHiuTS6YYTyllNFegY0NYnhRMc0NVynIAuSY8A1UUoE1BCHA6RheDb-3dW6tDI7au9VV3UsRpmkHGkjzuVGxQKe9C8NqIuntU-r0AIvoMRR-P6KMStJ_EkGEHxgNoXf3j_C90-Qc0n69-yURdGPoBmrJ_9w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2558186492</pqid></control><display><type>article</type><title>Molecular discrimination of maize CMS type and genetic relationship using RAMs markers</title><source>Publicly Available Content Database</source><creator>Alfalahi, A O ; Theer, R M ; Mohammed, M A ; Abdullah, M H ; Dhannoon, O M ; Hussein, Z T ; Drej, M M</creator><creatorcontrib>Alfalahi, A O ; Theer, R M ; Mohammed, M A ; Abdullah, M H ; Dhannoon, O M ; Hussein, Z T ; Drej, M M</creatorcontrib><description>Molecular characterization of CMS is an environmentally-independent tool and represents an alternative way to consider genetic variation within and between the different maize populations. The current study which consisted of six cms lines of maize in the 8th generation (S8) revealed that all of these lines were C-type. The adopted six specific markers (forward and reverse) in detecting the three cms types produced a fragment with a molecular size of ∼350 bp. The used RAMs markers (UBC-810, UBC-812, UBC-821, UBC-848, UBC-854 and UBC-855) produced a total of 36 fragments across the lines genomes, 25 out of them were polymorphic scoring a polymorphism percentage of 69.4%. The PIC values indicated that UBC-821 was the most discriminative primer with a PIC value of 0.40 compared to UBC-854, and UBC-855 primers which had the humble capability to distinguish between the studied inbreds with a PIC value of 0.33. The results of cluster analysis based on the molecular discrimination confirmed that A1 has the lowest values of genetic similarity, hence it was the most genetically divergent against the other cms inbred lines, especially A6 (0.42). On the other hand, A2 and A3 lines found to be genetically related by scoring the maximum genetic similarity (0.92). Molecular investigations have several advantages over the traditional methods and will be helpful in the real evaluation of any genotype.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/388/1/012043</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Cluster analysis ; Corn ; Discrimination ; Gene polymorphism ; Genetic diversity ; Genetic relationship ; Genomes ; Inbreeding ; Markers ; Polymorphism ; Population studies ; Similarity</subject><ispartof>IOP conference series. Earth and environmental science, 2019-11, Vol.388 (1), p.12043</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3063-eab18baf7892cf9a6c67533639c1e2f0694d6e7f3c56911ab0781cdd1efd00173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2558186492?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25752,27923,27924,37011,44589</link.rule.ids></links><search><creatorcontrib>Alfalahi, A O</creatorcontrib><creatorcontrib>Theer, R M</creatorcontrib><creatorcontrib>Mohammed, M A</creatorcontrib><creatorcontrib>Abdullah, M H</creatorcontrib><creatorcontrib>Dhannoon, O M</creatorcontrib><creatorcontrib>Hussein, Z T</creatorcontrib><creatorcontrib>Drej, M M</creatorcontrib><title>Molecular discrimination of maize CMS type and genetic relationship using RAMs markers</title><title>IOP conference series. Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>Molecular characterization of CMS is an environmentally-independent tool and represents an alternative way to consider genetic variation within and between the different maize populations. The current study which consisted of six cms lines of maize in the 8th generation (S8) revealed that all of these lines were C-type. The adopted six specific markers (forward and reverse) in detecting the three cms types produced a fragment with a molecular size of ∼350 bp. The used RAMs markers (UBC-810, UBC-812, UBC-821, UBC-848, UBC-854 and UBC-855) produced a total of 36 fragments across the lines genomes, 25 out of them were polymorphic scoring a polymorphism percentage of 69.4%. The PIC values indicated that UBC-821 was the most discriminative primer with a PIC value of 0.40 compared to UBC-854, and UBC-855 primers which had the humble capability to distinguish between the studied inbreds with a PIC value of 0.33. The results of cluster analysis based on the molecular discrimination confirmed that A1 has the lowest values of genetic similarity, hence it was the most genetically divergent against the other cms inbred lines, especially A6 (0.42). On the other hand, A2 and A3 lines found to be genetically related by scoring the maximum genetic similarity (0.92). Molecular investigations have several advantages over the traditional methods and will be helpful in the real evaluation of any genotype.</description><subject>Cluster analysis</subject><subject>Corn</subject><subject>Discrimination</subject><subject>Gene polymorphism</subject><subject>Genetic diversity</subject><subject>Genetic relationship</subject><subject>Genomes</subject><subject>Inbreeding</subject><subject>Markers</subject><subject>Polymorphism</subject><subject>Population studies</subject><subject>Similarity</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkF9LwzAUxYMoOKdfQQK--FKX27RJ-zjG_AMbglNfQ5YmM7NratI-zE9va0URBJ_uvdzzO5d7EDoHcgUkyybA0zQCCumE9tOEQEwSeoBG34vD757wY3QSwpYQxhOaj9Dz0pVataX0uLBBebuzlWysq7AzeCftu8az5Qo3-1pjWRV4oyvdWIW9Lj9l4cXWuA222uCH6TJ0iH_VPpyiIyPLoM--6hg9Xc8fZ7fR4v7mbjZdRIoSRiMt15CtpeFZHiuTS6YYTyllNFegY0NYnhRMc0NVynIAuSY8A1UUoE1BCHA6RheDb-3dW6tDI7au9VV3UsRpmkHGkjzuVGxQKe9C8NqIuntU-r0AIvoMRR-P6KMStJ_EkGEHxgNoXf3j_C90-Qc0n69-yURdGPoBmrJ_9w</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Alfalahi, A O</creator><creator>Theer, R M</creator><creator>Mohammed, M A</creator><creator>Abdullah, M H</creator><creator>Dhannoon, O M</creator><creator>Hussein, Z T</creator><creator>Drej, M M</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20191101</creationdate><title>Molecular discrimination of maize CMS type and genetic relationship using RAMs markers</title><author>Alfalahi, A O ; Theer, R M ; Mohammed, M A ; Abdullah, M H ; Dhannoon, O M ; Hussein, Z T ; Drej, M M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3063-eab18baf7892cf9a6c67533639c1e2f0694d6e7f3c56911ab0781cdd1efd00173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cluster analysis</topic><topic>Corn</topic><topic>Discrimination</topic><topic>Gene polymorphism</topic><topic>Genetic diversity</topic><topic>Genetic relationship</topic><topic>Genomes</topic><topic>Inbreeding</topic><topic>Markers</topic><topic>Polymorphism</topic><topic>Population studies</topic><topic>Similarity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alfalahi, A O</creatorcontrib><creatorcontrib>Theer, R M</creatorcontrib><creatorcontrib>Mohammed, M A</creatorcontrib><creatorcontrib>Abdullah, M H</creatorcontrib><creatorcontrib>Dhannoon, O M</creatorcontrib><creatorcontrib>Hussein, Z T</creatorcontrib><creatorcontrib>Drej, M M</creatorcontrib><collection>Open Access: IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alfalahi, A O</au><au>Theer, R M</au><au>Mohammed, M A</au><au>Abdullah, M H</au><au>Dhannoon, O M</au><au>Hussein, Z T</au><au>Drej, M M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Molecular discrimination of maize CMS type and genetic relationship using RAMs markers</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>388</volume><issue>1</issue><spage>12043</spage><pages>12043-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>Molecular characterization of CMS is an environmentally-independent tool and represents an alternative way to consider genetic variation within and between the different maize populations. The current study which consisted of six cms lines of maize in the 8th generation (S8) revealed that all of these lines were C-type. The adopted six specific markers (forward and reverse) in detecting the three cms types produced a fragment with a molecular size of ∼350 bp. The used RAMs markers (UBC-810, UBC-812, UBC-821, UBC-848, UBC-854 and UBC-855) produced a total of 36 fragments across the lines genomes, 25 out of them were polymorphic scoring a polymorphism percentage of 69.4%. The PIC values indicated that UBC-821 was the most discriminative primer with a PIC value of 0.40 compared to UBC-854, and UBC-855 primers which had the humble capability to distinguish between the studied inbreds with a PIC value of 0.33. The results of cluster analysis based on the molecular discrimination confirmed that A1 has the lowest values of genetic similarity, hence it was the most genetically divergent against the other cms inbred lines, especially A6 (0.42). On the other hand, A2 and A3 lines found to be genetically related by scoring the maximum genetic similarity (0.92). Molecular investigations have several advantages over the traditional methods and will be helpful in the real evaluation of any genotype.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/388/1/012043</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1755-1307 |
ispartof | IOP conference series. Earth and environmental science, 2019-11, Vol.388 (1), p.12043 |
issn | 1755-1307 1755-1315 |
language | eng |
recordid | cdi_proquest_journals_2558186492 |
source | Publicly Available Content Database |
subjects | Cluster analysis Corn Discrimination Gene polymorphism Genetic diversity Genetic relationship Genomes Inbreeding Markers Polymorphism Population studies Similarity |
title | Molecular discrimination of maize CMS type and genetic relationship using RAMs markers |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T17%3A04%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Molecular%20discrimination%20of%20maize%20CMS%20type%20and%20genetic%20relationship%20using%20RAMs%20markers&rft.jtitle=IOP%20conference%20series.%20Earth%20and%20environmental%20science&rft.au=Alfalahi,%20A%20O&rft.date=2019-11-01&rft.volume=388&rft.issue=1&rft.spage=12043&rft.pages=12043-&rft.issn=1755-1307&rft.eissn=1755-1315&rft_id=info:doi/10.1088/1755-1315/388/1/012043&rft_dat=%3Cproquest_iop_j%3E2558186492%3C/proquest_iop_j%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3063-eab18baf7892cf9a6c67533639c1e2f0694d6e7f3c56911ab0781cdd1efd00173%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2558186492&rft_id=info:pmid/&rfr_iscdi=true |