Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.
Identifieur interne : 000555 ( Main/Exploration ); précédent : 000554; suivant : 000556Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.
Auteurs : Guohong Cai [États-Unis] ; Tomara J. Fleury [États-Unis] ; Ning Zhang [États-Unis]Source :
- Scientific reports [ 2045-2322 ] ; 2019.
Descripteurs français
- KwdFr :
- Amorces ADN (métabolisme), Amorces ADN (synthèse chimique), Analyse de séquence d'ADN (MeSH), Cartographie chromosomique (MeSH), Génome fongique (MeSH), Génomique (méthodes), Locus génétiques (MeSH), Maladies des plantes (microbiologie), Phytophthora (génétique), Phytophthora (pathogénicité), Polymorphisme génétique (MeSH), Répétitions microsatellites (MeSH), Soja (microbiologie), Séquençage nucléotidique à haut débit (MeSH).
- MESH :
- génétique : Phytophthora.
- microbiologie : Maladies des plantes, Soja.
- métabolisme : Amorces ADN.
- méthodes : Génomique.
- pathogénicité : Phytophthora.
- synthèse chimique : Amorces ADN.
- Analyse de séquence d'ADN, Cartographie chromosomique, Génome fongique, Locus génétiques, Polymorphisme génétique, Répétitions microsatellites, Séquençage nucléotidique à haut débit.
English descriptors
- KwdEn :
- Chromosome Mapping (MeSH), DNA Primers (chemical synthesis), DNA Primers (metabolism), Genetic Loci (MeSH), Genome, Fungal (MeSH), Genomics (methods), High-Throughput Nucleotide Sequencing (MeSH), Microsatellite Repeats (MeSH), Phytophthora (genetics), Phytophthora (pathogenicity), Plant Diseases (microbiology), Polymorphism, Genetic (MeSH), Sequence Analysis, DNA (MeSH), Soybeans (microbiology).
- MESH :
- chemical , chemical synthesis : DNA Primers.
- chemical , metabolism : DNA Primers.
- genetics : Phytophthora.
- methods : Genomics.
- microbiology : Plant Diseases, Soybeans.
- pathogenicity : Phytophthora.
- Chromosome Mapping, Genetic Loci, Genome, Fungal, High-Throughput Nucleotide Sequencing, Microsatellite Repeats, Polymorphism, Genetic, Sequence Analysis, DNA.
Abstract
Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6 bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) primer design, and (3) screening microsatellite loci for polymorphism. The first and third steps require considerable resources. Next generation sequencing technologies have greatly alleviated the constraint of the first step. In this study, we leveraged the availability of genome assemblies of multiple individuals in many species and designed a comparative genomics approach to bioinformatically identify polymorphic loci. Our approach can eliminate or greatly reduce the need of experimental screening for polymorphism and ensure that the flanking regions do not have length difference that would confound interpretation of genotyping results using microsatellite markers. We applied this approach on Phytophthora sojae, a soybean pathogen, and identified 157 high-quality, informative microsatellite markers in this oomycete. Experimental validation of 20 loci supported bioinformatics predictions. Our approach can be readily applied to other organisms of which the genomes of multiple individuals have been sequenced.
DOI: 10.1038/s41598-019-44411-z
PubMed: 31138887
PubMed Central: PMC6538632
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.</title><author><name sortKey="Cai, Guohong" sort="Cai, Guohong" uniqKey="Cai G" first="Guohong" last="Cai">Guohong Cai</name><affiliation wicri:level="2"><nlm:affiliation>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN, USA. Guohong.cai@ars.usda.gov.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Botany and Plant Pathology Department, Purdue University, 47907, West Lafayette, IN, USA. Guohong.cai@ars.usda.gov.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Botany and Plant Pathology Department, Purdue University, 47907, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author><author><name sortKey="Fleury, Tomara J" sort="Fleury, Tomara J" uniqKey="Fleury T" first="Tomara J" last="Fleury">Tomara J. Fleury</name><affiliation wicri:level="2"><nlm:affiliation>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author><author><name sortKey="Zhang, Ning" sort="Zhang, Ning" uniqKey="Zhang N" first="Ning" last="Zhang">Ning Zhang</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Biology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Biology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ</wicri:regionArea><placeName><region type="state">New Jersey</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ</wicri:regionArea><placeName><region type="state">New Jersey</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2019">2019</date><idno type="RBID">pubmed:31138887</idno><idno type="pmid">31138887</idno><idno type="doi">10.1038/s41598-019-44411-z</idno><idno type="pmc">PMC6538632</idno><idno type="wicri:Area/Main/Corpus">000469</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000469</idno><idno type="wicri:Area/Main/Curation">000469</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000469</idno><idno type="wicri:Area/Main/Exploration">000469</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.</title><author><name sortKey="Cai, Guohong" sort="Cai, Guohong" uniqKey="Cai G" first="Guohong" last="Cai">Guohong Cai</name><affiliation wicri:level="2"><nlm:affiliation>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN, USA. Guohong.cai@ars.usda.gov.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Botany and Plant Pathology Department, Purdue University, 47907, West Lafayette, IN, USA. Guohong.cai@ars.usda.gov.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Botany and Plant Pathology Department, Purdue University, 47907, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author><author><name sortKey="Fleury, Tomara J" sort="Fleury, Tomara J" uniqKey="Fleury T" first="Tomara J" last="Fleury">Tomara J. Fleury</name><affiliation wicri:level="2"><nlm:affiliation>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author><author><name sortKey="Zhang, Ning" sort="Zhang, Ning" uniqKey="Zhang N" first="Ning" last="Zhang">Ning Zhang</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Biology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Biology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ</wicri:regionArea><placeName><region type="state">New Jersey</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ</wicri:regionArea><placeName><region type="state">New Jersey</region></placeName></affiliation></author></analytic><series><title level="j">Scientific reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Chromosome Mapping (MeSH)</term><term>DNA Primers (chemical synthesis)</term><term>DNA Primers (metabolism)</term><term>Genetic Loci (MeSH)</term><term>Genome, Fungal (MeSH)</term><term>Genomics (methods)</term><term>High-Throughput Nucleotide Sequencing (MeSH)</term><term>Microsatellite Repeats (MeSH)</term><term>Phytophthora (genetics)</term><term>Phytophthora (pathogenicity)</term><term>Plant Diseases (microbiology)</term><term>Polymorphism, Genetic (MeSH)</term><term>Sequence Analysis, DNA (MeSH)</term><term>Soybeans (microbiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Amorces ADN (métabolisme)</term><term>Amorces ADN (synthèse chimique)</term><term>Analyse de séquence d'ADN (MeSH)</term><term>Cartographie chromosomique (MeSH)</term><term>Génome fongique (MeSH)</term><term>Génomique (méthodes)</term><term>Locus génétiques (MeSH)</term><term>Maladies des plantes (microbiologie)</term><term>Phytophthora (génétique)</term><term>Phytophthora (pathogénicité)</term><term>Polymorphisme génétique (MeSH)</term><term>Répétitions microsatellites (MeSH)</term><term>Soja (microbiologie)</term><term>Séquençage nucléotidique à haut débit (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemical synthesis" xml:lang="en"><term>DNA Primers</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>DNA Primers</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Phytophthora</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Phytophthora</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Genomics</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies des plantes</term><term>Soja</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Soybeans</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Amorces ADN</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Génomique</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Phytophthora</term></keywords><keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Phytophthora</term></keywords><keywords scheme="MESH" qualifier="synthèse chimique" xml:lang="fr"><term>Amorces ADN</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Chromosome Mapping</term><term>Genetic Loci</term><term>Genome, Fungal</term><term>High-Throughput Nucleotide Sequencing</term><term>Microsatellite Repeats</term><term>Polymorphism, Genetic</term><term>Sequence Analysis, DNA</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de séquence d'ADN</term><term>Cartographie chromosomique</term><term>Génome fongique</term><term>Locus génétiques</term><term>Polymorphisme génétique</term><term>Répétitions microsatellites</term><term>Séquençage nucléotidique à haut débit</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6 bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) primer design, and (3) screening microsatellite loci for polymorphism. The first and third steps require considerable resources. Next generation sequencing technologies have greatly alleviated the constraint of the first step. In this study, we leveraged the availability of genome assemblies of multiple individuals in many species and designed a comparative genomics approach to bioinformatically identify polymorphic loci. Our approach can eliminate or greatly reduce the need of experimental screening for polymorphism and ensure that the flanking regions do not have length difference that would confound interpretation of genotyping results using microsatellite markers. We applied this approach on Phytophthora sojae, a soybean pathogen, and identified 157 high-quality, informative microsatellite markers in this oomycete. Experimental validation of 20 loci supported bioinformatics predictions. Our approach can be readily applied to other organisms of which the genomes of multiple individuals have been sequenced.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31138887</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>19</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>19</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>9</Volume><Issue>1</Issue><PubDate><Year>2019</Year><Month>05</Month><Day>28</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.</ArticleTitle><Pagination><MedlinePgn>7969</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41598-019-44411-z</ELocationID><Abstract><AbstractText>Microsatellites are a tract of repetitive, short DNA motifs (usually 1 to 6 bp) abundant in eukaryotic genomes. They are robust molecular markers in many areas of studies. Development of microsatellite markers usually involves three steps: (1) obtaining microsatellite-containing sequences, (2) primer design, and (3) screening microsatellite loci for polymorphism. The first and third steps require considerable resources. Next generation sequencing technologies have greatly alleviated the constraint of the first step. In this study, we leveraged the availability of genome assemblies of multiple individuals in many species and designed a comparative genomics approach to bioinformatically identify polymorphic loci. Our approach can eliminate or greatly reduce the need of experimental screening for polymorphism and ensure that the flanking regions do not have length difference that would confound interpretation of genotyping results using microsatellite markers. We applied this approach on Phytophthora sojae, a soybean pathogen, and identified 157 high-quality, informative microsatellite markers in this oomycete. Experimental validation of 20 loci supported bioinformatics predictions. Our approach can be readily applied to other organisms of which the genomes of multiple individuals have been sequenced.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Cai</LastName><ForeName>Guohong</ForeName><Initials>G</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-7700-6019</Identifier><AffiliationInfo><Affiliation>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN, USA. Guohong.cai@ars.usda.gov.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Botany and Plant Pathology Department, Purdue University, 47907, West Lafayette, IN, USA. Guohong.cai@ars.usda.gov.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fleury</LastName><ForeName>Tomara J</ForeName><Initials>TJ</Initials><AffiliationInfo><Affiliation>Crop Production and Pest Control Research Unit, USDA-ARS, 47907, West Lafayette, IN, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Ning</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Department of Plant Biology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, 08901, New Brunswick, NJ, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>05</Month><Day>28</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Sci Rep</MedlineTA><NlmUniqueID>101563288</NlmUniqueID><ISSNLinking>2045-2322</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D017931">DNA Primers</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002874" MajorTopicYN="N">Chromosome Mapping</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017931" MajorTopicYN="N">DNA Primers</DescriptorName><QualifierName UI="Q000138" MajorTopicYN="N">chemical synthesis</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D056426" MajorTopicYN="Y">Genetic Loci</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016681" MajorTopicYN="Y">Genome, Fungal</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D023281" MajorTopicYN="N">Genomics</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D059014" MajorTopicYN="N">High-Throughput Nucleotide Sequencing</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018895" MajorTopicYN="Y">Microsatellite Repeats</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010838" MajorTopicYN="N">Phytophthora</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011110" MajorTopicYN="Y">Polymorphism, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017422" MajorTopicYN="N">Sequence Analysis, DNA</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013025" MajorTopicYN="N">Soybeans</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>11</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>05</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>5</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>5</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31138887</ArticleId><ArticleId IdType="doi">10.1038/s41598-019-44411-z</ArticleId><ArticleId IdType="pii">10.1038/s41598-019-44411-z</ArticleId><ArticleId IdType="pmc">PMC6538632</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Indiana</li><li>New Jersey</li></region></list><tree><country name="États-Unis"><region name="Indiana"><name sortKey="Cai, Guohong" sort="Cai, Guohong" uniqKey="Cai G" first="Guohong" last="Cai">Guohong Cai</name></region><name sortKey="Cai, Guohong" sort="Cai, Guohong" uniqKey="Cai G" first="Guohong" last="Cai">Guohong Cai</name><name sortKey="Fleury, Tomara J" sort="Fleury, Tomara J" uniqKey="Fleury T" first="Tomara J" last="Fleury">Tomara J. Fleury</name><name sortKey="Zhang, Ning" sort="Zhang, Ning" uniqKey="Zhang N" first="Ning" last="Zhang">Ning Zhang</name><name sortKey="Zhang, Ning" sort="Zhang, Ning" uniqKey="Zhang N" first="Ning" last="Zhang">Ning Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PhytophthoraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000555 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000555 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= PhytophthoraV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:31138887
|texte= Comparative genomics approach to build a genome-wide database of high-quality, informative microsatellite markers: application on Phytophthora sojae, a soybean pathogen.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:31138887" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PhytophthoraV1
| This area was generated with Dilib version V0.6.38. |  |