Time-course investigation of Phytophthora infestans infection of potato leaf from three cultivars by quantitative proteomics.
Identifieur interne : 000B07 ( Main/Exploration ); précédent : 000B06; suivant : 000B08Time-course investigation of Phytophthora infestans infection of potato leaf from three cultivars by quantitative proteomics.
Auteurs : Mia Kruse Guldstrand Larsen [Danemark] ; Malene M Ller J Rgensen [Danemark] ; Tue Bjerg Bennike [Danemark] ; Allan Stensballe [Danemark]Source :
- Data in brief [ 2352-3409 ] ; 2016.
Abstract
Potato late blight is one the most important crop diseases worldwide. Even though potato has been studied for many years, the potato disease late blight still has a vast negative effect on the potato production [1], [2], [3]. Late blight is caused by the pathogen Phytophthora infestans (P. infestans), which initiates infection through leaves. However, the biological activities during different stages of infection are poorly described, and could enable novel or improved ways of defeating late blight infection [4]. Therefore, we investigated the interactions between P. infestans (mixed strain culture) and potato (Solanum tuberosum). Three commercially available field potato cultivars of different resistance to late blight infection; Kuras (moderate), Sarpo Mira (highly resistant) and Bintje (very susceptable) were grown under controlled green house conditions and inoculated with a diversity of P. infestans populations. We used label-free quantitative proteomics to investigate the infection with P. infestans in a time-course study over 258 h. Several key issues limits proteome analysis of potato leaf tissue [5], [6], [7]. Firstly, the immense complexity of the plant proteome, which is further complicated by the presence of highly abundant proteins, such as ribulose bisphosphate carboxylase/oxygenase (RuBisCO). Secondly, plant leaf and potato, in particular, contain abundant levels amounts of phenols and polyphenols, which hinder or completely prevent a successful protein extraction. Hitherto, protein profiling of potato leaf tissues have been limited to few proteome studies and only 1484 proteins have been extracted and comprehensively described [5], [8], [9]. We here present the detailed methods and raw data by optimized gel-enhanced label free quantitative approach. The methodology enabled us to detect and quantify between 3248 and 3529 unique proteins from each cultivar, and up to 758 P. infestans derived proteins. The complete dataset is available via ProteomeXchange, with the identifier PXD002767.
DOI: 10.1016/j.dib.2015.11.069
PubMed: 26862565
PubMed Central: PMC4707178
Affiliations:
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Aalborg University, Aalborg</wicri:regionArea><orgName type="university">Université d'Aalborg</orgName><placeName><settlement type="city">Aalborg</settlement><region nuts="2" type="region">Jutland du Nord</region></placeName></affiliation></author><author><name sortKey="J Rgensen, Malene M Ller" sort="J Rgensen, Malene M Ller" uniqKey="J Rgensen M" first="Malene M Ller" last="J Rgensen">Malene M Ller J Rgensen</name><affiliation wicri:level="1"><nlm:affiliation>Department of Clinical Immunology, Aalborg University Hospital, Urbansgade 32-36, DK-9000 Aalborg, Denmark.</nlm:affiliation><country xml:lang="fr">Danemark</country><wicri:regionArea>Department of Clinical Immunology, Aalborg University Hospital, Urbansgade 32-36, DK-9000 Aalborg</wicri:regionArea><wicri:noRegion>DK-9000 Aalborg</wicri:noRegion></affiliation></author><author><name sortKey="Bennike, Tue Bjerg" sort="Bennike, Tue Bjerg" uniqKey="Bennike T" first="Tue Bjerg" last="Bennike">Tue Bjerg Bennike</name><affiliation wicri:level="4"><nlm:affiliation>Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.</nlm:affiliation><country xml:lang="fr">Danemark</country><wicri:regionArea>Department of Health Science and Technology, Aalborg University, Aalborg</wicri:regionArea><orgName type="university">Université d'Aalborg</orgName><placeName><settlement type="city">Aalborg</settlement><region nuts="2" type="region">Jutland du Nord</region></placeName></affiliation></author><author><name sortKey="Stensballe, Allan" sort="Stensballe, Allan" uniqKey="Stensballe A" first="Allan" last="Stensballe">Allan Stensballe</name><affiliation wicri:level="4"><nlm:affiliation>Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.</nlm:affiliation><country xml:lang="fr">Danemark</country><wicri:regionArea>Department of Health Science and Technology, Aalborg University, Aalborg</wicri:regionArea><orgName type="university">Université d'Aalborg</orgName><placeName><settlement type="city">Aalborg</settlement><region nuts="2" type="region">Jutland du Nord</region></placeName></affiliation></author></analytic><series><title level="j">Data in brief</title><idno type="ISSN">2352-3409</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Potato late blight is one the most important crop diseases worldwide. Even though potato has been studied for many years, the potato disease late blight still has a vast negative effect on the potato production [1], [2], [3]. Late blight is caused by the pathogen Phytophthora infestans (P. infestans), which initiates infection through leaves. However, the biological activities during different stages of infection are poorly described, and could enable novel or improved ways of defeating late blight infection [4]. Therefore, we investigated the interactions between P. infestans (mixed strain culture) and potato (Solanum tuberosum). Three commercially available field potato cultivars of different resistance to late blight infection; Kuras (moderate), Sarpo Mira (highly resistant) and Bintje (very susceptable) were grown under controlled green house conditions and inoculated with a diversity of P. infestans populations. We used label-free quantitative proteomics to investigate the infection with P. infestans in a time-course study over 258 h. Several key issues limits proteome analysis of potato leaf tissue [5], [6], [7]. Firstly, the immense complexity of the plant proteome, which is further complicated by the presence of highly abundant proteins, such as ribulose bisphosphate carboxylase/oxygenase (RuBisCO). Secondly, plant leaf and potato, in particular, contain abundant levels amounts of phenols and polyphenols, which hinder or completely prevent a successful protein extraction. Hitherto, protein profiling of potato leaf tissues have been limited to few proteome studies and only 1484 proteins have been extracted and comprehensively described [5], [8], [9]. We here present the detailed methods and raw data by optimized gel-enhanced label free quantitative approach. The methodology enabled us to detect and quantify between 3248 and 3529 unique proteins from each cultivar, and up to 758 P. infestans derived proteins. The complete dataset is available via ProteomeXchange, with the identifier PXD002767. </div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">26862565</PMID><DateCompleted><Year>2016</Year><Month>02</Month><Day>10</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">2352-3409</ISSN><JournalIssue CitedMedium="Print"><Volume>6</Volume><PubDate><Year>2016</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Data in brief</Title><ISOAbbreviation>Data Brief</ISOAbbreviation></Journal><ArticleTitle>Time-course investigation of Phytophthora infestans infection of potato leaf from three cultivars by quantitative proteomics.</ArticleTitle><Pagination><MedlinePgn>238-48</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.dib.2015.11.069</ELocationID><Abstract><AbstractText>Potato late blight is one the most important crop diseases worldwide. Even though potato has been studied for many years, the potato disease late blight still has a vast negative effect on the potato production [1], [2], [3]. Late blight is caused by the pathogen Phytophthora infestans (P. infestans), which initiates infection through leaves. However, the biological activities during different stages of infection are poorly described, and could enable novel or improved ways of defeating late blight infection [4]. Therefore, we investigated the interactions between P. infestans (mixed strain culture) and potato (Solanum tuberosum). Three commercially available field potato cultivars of different resistance to late blight infection; Kuras (moderate), Sarpo Mira (highly resistant) and Bintje (very susceptable) were grown under controlled green house conditions and inoculated with a diversity of P. infestans populations. We used label-free quantitative proteomics to investigate the infection with P. infestans in a time-course study over 258 h. Several key issues limits proteome analysis of potato leaf tissue [5], [6], [7]. Firstly, the immense complexity of the plant proteome, which is further complicated by the presence of highly abundant proteins, such as ribulose bisphosphate carboxylase/oxygenase (RuBisCO). Secondly, plant leaf and potato, in particular, contain abundant levels amounts of phenols and polyphenols, which hinder or completely prevent a successful protein extraction. Hitherto, protein profiling of potato leaf tissues have been limited to few proteome studies and only 1484 proteins have been extracted and comprehensively described [5], [8], [9]. We here present the detailed methods and raw data by optimized gel-enhanced label free quantitative approach. The methodology enabled us to detect and quantify between 3248 and 3529 unique proteins from each cultivar, and up to 758 P. infestans derived proteins. The complete dataset is available via ProteomeXchange, with the identifier PXD002767. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Larsen</LastName><ForeName>Mia Kruse Guldstrand</ForeName><Initials>MK</Initials><AffiliationInfo><Affiliation>Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jørgensen</LastName><ForeName>Malene Møller</ForeName><Initials>MM</Initials><AffiliationInfo><Affiliation>Department of Clinical Immunology, Aalborg University Hospital, Urbansgade 32-36, DK-9000 Aalborg, Denmark.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bennike</LastName><ForeName>Tue Bjerg</ForeName><Initials>TB</Initials><AffiliationInfo><Affiliation>Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Stensballe</LastName><ForeName>Allan</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>12</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Data Brief</MedlineTA><NlmUniqueID>101654995</NlmUniqueID><ISSNLinking>2352-3409</ISSNLinking></MedlineJournalInfo></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>08</Month><Day>25</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2015</Year><Month>11</Month><Day>24</Day></PubMedPubDate><PubMedPubDate 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IdType="pubmed">19204033</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Danemark</li></country><region><li>Jutland du Nord</li></region><settlement><li>Aalborg</li></settlement><orgName><li>Université d'Aalborg</li></orgName></list><tree><country name="Danemark"><region name="Jutland du Nord"><name sortKey="Larsen, Mia Kruse Guldstrand" sort="Larsen, Mia Kruse Guldstrand" uniqKey="Larsen M" first="Mia Kruse Guldstrand" last="Larsen">Mia Kruse Guldstrand Larsen</name></region><name sortKey="Bennike, Tue Bjerg" sort="Bennike, Tue Bjerg" uniqKey="Bennike T" first="Tue Bjerg" last="Bennike">Tue Bjerg Bennike</name><name sortKey="J Rgensen, Malene M Ller" sort="J Rgensen, Malene M Ller" uniqKey="J Rgensen M" first="Malene M Ller" last="J Rgensen">Malene M Ller J Rgensen</name><name sortKey="Stensballe, Allan" sort="Stensballe, Allan" uniqKey="Stensballe A" first="Allan" last="Stensballe">Allan 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