Selection and validation of reference genes for quantitative gene expression analyses in various tissues and seeds at different developmental stages in Bixa orellana L

Bixa orellana L., popularly known as annatto, produces several secondary metabolites of pharmaceutical and industrial interest, including bixin, whose molecular basis of biosynthesis remain to be determined. Gene expression analysis by quantitative real-time PCR (qPCR) is an important tool to advanc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Physiology and molecular biology of plants 2018-05, Vol.24 (3), p.369-378
Hauptverfasser: Moreira, Viviane S., Soares, Virgínia L. F., Silva, Raner J. S., Sousa, Aurizangela O., Otoni, Wagner C., Costa, Marcio G. C.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 378
container_issue 3
container_start_page 369
container_title Physiology and molecular biology of plants
container_volume 24
creator Moreira, Viviane S.
Soares, Virgínia L. F.
Silva, Raner J. S.
Sousa, Aurizangela O.
Otoni, Wagner C.
Costa, Marcio G. C.
description Bixa orellana L., popularly known as annatto, produces several secondary metabolites of pharmaceutical and industrial interest, including bixin, whose molecular basis of biosynthesis remain to be determined. Gene expression analysis by quantitative real-time PCR (qPCR) is an important tool to advance such knowledge. However, correct interpretation of qPCR data requires the use of suitable reference genes in order to reduce experimental variations. In the present study, we have selected four different candidates for reference genes in B. orellana , coding for 40S ribosomal protein S9 (RPS9), histone H4 (H4), 60S ribosomal protein L38 (RPL38) and 18S ribosomal RNA (18SrRNA). Their expression stabilities in different tissues (e.g. flower buds, flowers, leaves and seeds at different developmental stages) were analyzed using five statistical tools (NormFinder, geNorm, BestKeeper, ΔCt method and RefFinder). The results indicated that RPL38 is the most stable gene in different tissues and stages of seed development and 18SrRNA is the most unstable among the analyzed genes. In order to validate the candidate reference genes, we have analyzed the relative expression of a target gene coding for carotenoid cleavage dioxygenase 1 (CCD1) using the stable RPL38 and the least stable gene, 18SrRNA , for normalization of the qPCR data. The results demonstrated significant differences in the interpretation of the CCD1 gene expression data, depending on the reference gene used, reinforcing the importance of the correct selection of reference genes for normalization.
doi_str_mv 10.1007/s12298-018-0528-1
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5911269</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2030937307</sourcerecordid><originalsourceid>FETCH-LOGICAL-c503t-10926207c5600cec6f3767699a72f693cd7c4613d03c377f590418bd9479eafd3</originalsourceid><addsrcrecordid>eNqNkk1v1DAQhiMEomXhB3BBlrhwCYw_YscXJFrxJa3EAThbrjNZXGXjrZ2s2l_E32R2U8qHhMTB8th-5h2P_VbVUw4vOYB5VbgQtq2B02hEW_N71SlYo2pQEu4fY143rVUn1aNSLgG0VIY_rE6E1VY0qjmtvn_GAcMU08j82LG9H2Lnj8vUs4w9ZhwDsg2OWFifMrua_TjFiZj9ss3wepexlEXCDzeFyDiSVI5pLmyKpcy0dZAviB1FE-tif5SmCPc4pN2WYj-wMvnNkn4Wrz1LGYeBRNn6cfWg90PBJ7fzqvr67u2X8w_1-tP7j-dv1nVoQE41Byu0ABMaDRAw6F4abbS13oheWxk6E5TmsgMZpDF9Y0Hx9qKzylj0fSdX1etFdzdfbLELdK3sB7fLcevzjUs-uj9PxvjNbdLeNZZzQRVW1YtbgZyuqO_JbWMJxzaQnsMJ0Ea0oDT8ByrBSiPBEPr8L_QyzZle-0CJVrWa-iWKL1TIqRT6vbt7c3AHx7jFMY4c4w6OcZxynv3e8F3GT4sQIBag0NG4wfyr9L9VfwA_N88P</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2028486600</pqid></control><display><type>article</type><title>Selection and validation of reference genes for quantitative gene expression analyses in various tissues and seeds at different developmental stages in Bixa orellana L</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>SpringerLink Journals - AutoHoldings</source><creator>Moreira, Viviane S. ; Soares, Virgínia L. F. ; Silva, Raner J. S. ; Sousa, Aurizangela O. ; Otoni, Wagner C. ; Costa, Marcio G. C.</creator><creatorcontrib>Moreira, Viviane S. ; Soares, Virgínia L. F. ; Silva, Raner J. S. ; Sousa, Aurizangela O. ; Otoni, Wagner C. ; Costa, Marcio G. C.</creatorcontrib><description>Bixa orellana L., popularly known as annatto, produces several secondary metabolites of pharmaceutical and industrial interest, including bixin, whose molecular basis of biosynthesis remain to be determined. Gene expression analysis by quantitative real-time PCR (qPCR) is an important tool to advance such knowledge. However, correct interpretation of qPCR data requires the use of suitable reference genes in order to reduce experimental variations. In the present study, we have selected four different candidates for reference genes in B. orellana , coding for 40S ribosomal protein S9 (RPS9), histone H4 (H4), 60S ribosomal protein L38 (RPL38) and 18S ribosomal RNA (18SrRNA). Their expression stabilities in different tissues (e.g. flower buds, flowers, leaves and seeds at different developmental stages) were analyzed using five statistical tools (NormFinder, geNorm, BestKeeper, ΔCt method and RefFinder). The results indicated that RPL38 is the most stable gene in different tissues and stages of seed development and 18SrRNA is the most unstable among the analyzed genes. In order to validate the candidate reference genes, we have analyzed the relative expression of a target gene coding for carotenoid cleavage dioxygenase 1 (CCD1) using the stable RPL38 and the least stable gene, 18SrRNA , for normalization of the qPCR data. The results demonstrated significant differences in the interpretation of the CCD1 gene expression data, depending on the reference gene used, reinforcing the importance of the correct selection of reference genes for normalization.</description><identifier>ISSN: 0971-5894</identifier><identifier>EISSN: 0974-0430</identifier><identifier>DOI: 10.1007/s12298-018-0528-1</identifier><identifier>PMID: 29692545</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Annatto ; Biological and Medical Physics ; Biomedical and Life Sciences ; Biophysics ; Biosynthesis ; Bixa orellana ; buds ; carotenoids ; Cell Biology ; Developmental stages ; Dioxygenase ; Flowers ; Gene expression ; Genes ; Histone H4 ; histones ; leaves ; Life Sciences ; Metabolites ; Plant Physiology ; Plant Sciences ; Plant tissues ; quantitative polymerase chain reaction ; Research Article ; Ribonucleic acid ; Ribosomal protein S9 ; ribosomal proteins ; ribosomal RNA ; RNA ; rRNA 18S ; Secondary metabolites ; seed development ; Seeds ; tissues</subject><ispartof>Physiology and molecular biology of plants, 2018-05, Vol.24 (3), p.369-378</ispartof><rights>Prof. H.S. Srivastava Foundation for Science and Society 2018</rights><rights>Copyright Springer Science &amp; Business Media 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-10926207c5600cec6f3767699a72f693cd7c4613d03c377f590418bd9479eafd3</citedby><cites>FETCH-LOGICAL-c503t-10926207c5600cec6f3767699a72f693cd7c4613d03c377f590418bd9479eafd3</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/PMC5911269/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5911269/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,41464,42533,51294,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29692545$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moreira, Viviane S.</creatorcontrib><creatorcontrib>Soares, Virgínia L. F.</creatorcontrib><creatorcontrib>Silva, Raner J. S.</creatorcontrib><creatorcontrib>Sousa, Aurizangela O.</creatorcontrib><creatorcontrib>Otoni, Wagner C.</creatorcontrib><creatorcontrib>Costa, Marcio G. C.</creatorcontrib><title>Selection and validation of reference genes for quantitative gene expression analyses in various tissues and seeds at different developmental stages in Bixa orellana L</title><title>Physiology and molecular biology of plants</title><addtitle>Physiol Mol Biol Plants</addtitle><addtitle>Physiol Mol Biol Plants</addtitle><description>Bixa orellana L., popularly known as annatto, produces several secondary metabolites of pharmaceutical and industrial interest, including bixin, whose molecular basis of biosynthesis remain to be determined. Gene expression analysis by quantitative real-time PCR (qPCR) is an important tool to advance such knowledge. However, correct interpretation of qPCR data requires the use of suitable reference genes in order to reduce experimental variations. In the present study, we have selected four different candidates for reference genes in B. orellana , coding for 40S ribosomal protein S9 (RPS9), histone H4 (H4), 60S ribosomal protein L38 (RPL38) and 18S ribosomal RNA (18SrRNA). Their expression stabilities in different tissues (e.g. flower buds, flowers, leaves and seeds at different developmental stages) were analyzed using five statistical tools (NormFinder, geNorm, BestKeeper, ΔCt method and RefFinder). The results indicated that RPL38 is the most stable gene in different tissues and stages of seed development and 18SrRNA is the most unstable among the analyzed genes. In order to validate the candidate reference genes, we have analyzed the relative expression of a target gene coding for carotenoid cleavage dioxygenase 1 (CCD1) using the stable RPL38 and the least stable gene, 18SrRNA , for normalization of the qPCR data. The results demonstrated significant differences in the interpretation of the CCD1 gene expression data, depending on the reference gene used, reinforcing the importance of the correct selection of reference genes for normalization.</description><subject>Annatto</subject><subject>Biological and Medical Physics</subject><subject>Biomedical and Life Sciences</subject><subject>Biophysics</subject><subject>Biosynthesis</subject><subject>Bixa orellana</subject><subject>buds</subject><subject>carotenoids</subject><subject>Cell Biology</subject><subject>Developmental stages</subject><subject>Dioxygenase</subject><subject>Flowers</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Histone H4</subject><subject>histones</subject><subject>leaves</subject><subject>Life Sciences</subject><subject>Metabolites</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Plant tissues</subject><subject>quantitative polymerase chain reaction</subject><subject>Research Article</subject><subject>Ribonucleic acid</subject><subject>Ribosomal protein S9</subject><subject>ribosomal proteins</subject><subject>ribosomal RNA</subject><subject>RNA</subject><subject>rRNA 18S</subject><subject>Secondary metabolites</subject><subject>seed development</subject><subject>Seeds</subject><subject>tissues</subject><issn>0971-5894</issn><issn>0974-0430</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNkk1v1DAQhiMEomXhB3BBlrhwCYw_YscXJFrxJa3EAThbrjNZXGXjrZ2s2l_E32R2U8qHhMTB8th-5h2P_VbVUw4vOYB5VbgQtq2B02hEW_N71SlYo2pQEu4fY143rVUn1aNSLgG0VIY_rE6E1VY0qjmtvn_GAcMU08j82LG9H2Lnj8vUs4w9ZhwDsg2OWFifMrua_TjFiZj9ss3wepexlEXCDzeFyDiSVI5pLmyKpcy0dZAviB1FE-tif5SmCPc4pN2WYj-wMvnNkn4Wrz1LGYeBRNn6cfWg90PBJ7fzqvr67u2X8w_1-tP7j-dv1nVoQE41Byu0ABMaDRAw6F4abbS13oheWxk6E5TmsgMZpDF9Y0Hx9qKzylj0fSdX1etFdzdfbLELdK3sB7fLcevzjUs-uj9PxvjNbdLeNZZzQRVW1YtbgZyuqO_JbWMJxzaQnsMJ0Ea0oDT8ByrBSiPBEPr8L_QyzZle-0CJVrWa-iWKL1TIqRT6vbt7c3AHx7jFMY4c4w6OcZxynv3e8F3GT4sQIBag0NG4wfyr9L9VfwA_N88P</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Moreira, Viviane S.</creator><creator>Soares, Virgínia L. F.</creator><creator>Silva, Raner J. S.</creator><creator>Sousa, Aurizangela O.</creator><creator>Otoni, Wagner C.</creator><creator>Costa, Marcio G. C.</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20180501</creationdate><title>Selection and validation of reference genes for quantitative gene expression analyses in various tissues and seeds at different developmental stages in Bixa orellana L</title><author>Moreira, Viviane S. ; Soares, Virgínia L. F. ; Silva, Raner J. S. ; Sousa, Aurizangela O. ; Otoni, Wagner C. ; Costa, Marcio G. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-10926207c5600cec6f3767699a72f693cd7c4613d03c377f590418bd9479eafd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Annatto</topic><topic>Biological and Medical Physics</topic><topic>Biomedical and Life Sciences</topic><topic>Biophysics</topic><topic>Biosynthesis</topic><topic>Bixa orellana</topic><topic>buds</topic><topic>carotenoids</topic><topic>Cell Biology</topic><topic>Developmental stages</topic><topic>Dioxygenase</topic><topic>Flowers</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Histone H4</topic><topic>histones</topic><topic>leaves</topic><topic>Life Sciences</topic><topic>Metabolites</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Plant tissues</topic><topic>quantitative polymerase chain reaction</topic><topic>Research Article</topic><topic>Ribonucleic acid</topic><topic>Ribosomal protein S9</topic><topic>ribosomal proteins</topic><topic>ribosomal RNA</topic><topic>RNA</topic><topic>rRNA 18S</topic><topic>Secondary metabolites</topic><topic>seed development</topic><topic>Seeds</topic><topic>tissues</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moreira, Viviane S.</creatorcontrib><creatorcontrib>Soares, Virgínia L. F.</creatorcontrib><creatorcontrib>Silva, Raner J. S.</creatorcontrib><creatorcontrib>Sousa, Aurizangela O.</creatorcontrib><creatorcontrib>Otoni, Wagner C.</creatorcontrib><creatorcontrib>Costa, Marcio G. C.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Physiology and molecular biology of plants</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moreira, Viviane S.</au><au>Soares, Virgínia L. F.</au><au>Silva, Raner J. S.</au><au>Sousa, Aurizangela O.</au><au>Otoni, Wagner C.</au><au>Costa, Marcio G. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Selection and validation of reference genes for quantitative gene expression analyses in various tissues and seeds at different developmental stages in Bixa orellana L</atitle><jtitle>Physiology and molecular biology of plants</jtitle><stitle>Physiol Mol Biol Plants</stitle><addtitle>Physiol Mol Biol Plants</addtitle><date>2018-05-01</date><risdate>2018</risdate><volume>24</volume><issue>3</issue><spage>369</spage><epage>378</epage><pages>369-378</pages><issn>0971-5894</issn><eissn>0974-0430</eissn><abstract>Bixa orellana L., popularly known as annatto, produces several secondary metabolites of pharmaceutical and industrial interest, including bixin, whose molecular basis of biosynthesis remain to be determined. Gene expression analysis by quantitative real-time PCR (qPCR) is an important tool to advance such knowledge. However, correct interpretation of qPCR data requires the use of suitable reference genes in order to reduce experimental variations. In the present study, we have selected four different candidates for reference genes in B. orellana , coding for 40S ribosomal protein S9 (RPS9), histone H4 (H4), 60S ribosomal protein L38 (RPL38) and 18S ribosomal RNA (18SrRNA). Their expression stabilities in different tissues (e.g. flower buds, flowers, leaves and seeds at different developmental stages) were analyzed using five statistical tools (NormFinder, geNorm, BestKeeper, ΔCt method and RefFinder). The results indicated that RPL38 is the most stable gene in different tissues and stages of seed development and 18SrRNA is the most unstable among the analyzed genes. In order to validate the candidate reference genes, we have analyzed the relative expression of a target gene coding for carotenoid cleavage dioxygenase 1 (CCD1) using the stable RPL38 and the least stable gene, 18SrRNA , for normalization of the qPCR data. The results demonstrated significant differences in the interpretation of the CCD1 gene expression data, depending on the reference gene used, reinforcing the importance of the correct selection of reference genes for normalization.</abstract><cop>New Delhi</cop><pub>Springer India</pub><pmid>29692545</pmid><doi>10.1007/s12298-018-0528-1</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0971-5894
ispartof Physiology and molecular biology of plants, 2018-05, Vol.24 (3), p.369-378
issn 0971-5894
0974-0430
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5911269
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; SpringerLink Journals - AutoHoldings
subjects Annatto
Biological and Medical Physics
Biomedical and Life Sciences
Biophysics
Biosynthesis
Bixa orellana
buds
carotenoids
Cell Biology
Developmental stages
Dioxygenase
Flowers
Gene expression
Genes
Histone H4
histones
leaves
Life Sciences
Metabolites
Plant Physiology
Plant Sciences
Plant tissues
quantitative polymerase chain reaction
Research Article
Ribonucleic acid
Ribosomal protein S9
ribosomal proteins
ribosomal RNA
RNA
rRNA 18S
Secondary metabolites
seed development
Seeds
tissues
title Selection and validation of reference genes for quantitative gene expression analyses in various tissues and seeds at different developmental stages in Bixa orellana L
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T00%3A05%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Selection%20and%20validation%20of%20reference%20genes%20for%20quantitative%20gene%20expression%20analyses%20in%20various%20tissues%20and%20seeds%20at%20different%20developmental%20stages%20in%20Bixa%20orellana%20L&rft.jtitle=Physiology%20and%20molecular%20biology%20of%20plants&rft.au=Moreira,%20Viviane%20S.&rft.date=2018-05-01&rft.volume=24&rft.issue=3&rft.spage=369&rft.epage=378&rft.pages=369-378&rft.issn=0971-5894&rft.eissn=0974-0430&rft_id=info:doi/10.1007/s12298-018-0528-1&rft_dat=%3Cproquest_pubme%3E2030937307%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2028486600&rft_id=info:pmid/29692545&rfr_iscdi=true