Microbial community assembly and succession on lake sturgeon egg surfaces as a function of simulated spawning stream flow rate.
Identifieur interne : 000489 ( Ncbi/Merge ); précédent : 000488; suivant : 000490Microbial community assembly and succession on lake sturgeon egg surfaces as a function of simulated spawning stream flow rate.
Auteurs : Masanori Fujimoto [États-Unis] ; James A. Crossman ; Kim T. Scribner ; Terence L. MarshSource :
- Microbial ecology [ 1432-184X ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- chemistry : Lakes.
- classification : Bacteria.
- genetics : Bacteria.
- growth & development : Fishes, Ovum.
- isolation & purification : Bacteria.
- microbiology : Fishes, Ovum.
- Animals, Biodiversity, Ecosystem, Molecular Sequence Data, Phylogeny, Water Movements.
Abstract
We investigated microbial succession on lake sturgeon (Acipenser fulvescens) egg surfaces over the course of their incubation period as a function of simulated stream flow rate. The primary objective was to characterize the microbial community assembly during succession and to examine how simulated stream flow rate affect the successional process. Sturgeon eggs were reared under three flow regimes; high (0.55 m/s), low (0.18 m/s), and variable (0.35 and 0.11 m/s alternating 12 h intervals). Eggs were collected from each flow regime at different egg developmental stages. Microbial community DNA was extracted from egg surface and the communities were examined using 16S rRNA gene-based terminal restriction fragment length polymorphism and 454 pyrosequencing. Analysis of these datasets using principal component analysis revealed that microbial communities were clustered by egg developmental stages (early, middle, and late) regardless of flow regimes. 454 pyrosequencing data suggested that 90-98 % of the microbial communities were composed of the phyla Proteobacteria and Bacteroidetes throughout succession. β-Protebacteria was more dominant in the early stage, Bacteroidetes became more dominant in the middle stage, and α-Proteobacteria became dominant in the late stage. A total of 360 genera and 5,826 OTUs at 97 % similarity cutoff were associated with the eggs. Midway through egg development, the egg-associated communities of the low flow regime had a higher diversity than those communities developed under high or variable flow regimes. Results show that microbial community turnover occurred during embryogenesis, and stream flow rate influenced the microbial succession processes on the sturgeon egg surfaces.
DOI: 10.1007/s00248-013-0256-6
PubMed: 23857377
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Marsh</name></author></analytic><series><title level="j">Microbial ecology</title><idno type="eISSN">1432-184X</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Bacteria (classification)</term><term>Bacteria (genetics)</term><term>Bacteria (isolation & purification)</term><term>Biodiversity</term><term>Ecosystem</term><term>Fishes (growth & development)</term><term>Fishes (microbiology)</term><term>Lakes (chemistry)</term><term>Molecular Sequence Data</term><term>Ovum (growth & development)</term><term>Ovum (microbiology)</term><term>Phylogeny</term><term>Water Movements</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Lakes</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Fishes</term><term>Ovum</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Fishes</term><term>Ovum</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Biodiversity</term><term>Ecosystem</term><term>Molecular Sequence Data</term><term>Phylogeny</term><term>Water Movements</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We investigated microbial succession on lake sturgeon (Acipenser fulvescens) egg surfaces over the course of their incubation period as a function of simulated stream flow rate. The primary objective was to characterize the microbial community assembly during succession and to examine how simulated stream flow rate affect the successional process. Sturgeon eggs were reared under three flow regimes; high (0.55 m/s), low (0.18 m/s), and variable (0.35 and 0.11 m/s alternating 12 h intervals). Eggs were collected from each flow regime at different egg developmental stages. Microbial community DNA was extracted from egg surface and the communities were examined using 16S rRNA gene-based terminal restriction fragment length polymorphism and 454 pyrosequencing. Analysis of these datasets using principal component analysis revealed that microbial communities were clustered by egg developmental stages (early, middle, and late) regardless of flow regimes. 454 pyrosequencing data suggested that 90-98 % of the microbial communities were composed of the phyla Proteobacteria and Bacteroidetes throughout succession. β-Protebacteria was more dominant in the early stage, Bacteroidetes became more dominant in the middle stage, and α-Proteobacteria became dominant in the late stage. A total of 360 genera and 5,826 OTUs at 97 % similarity cutoff were associated with the eggs. Midway through egg development, the egg-associated communities of the low flow regime had a higher diversity than those communities developed under high or variable flow regimes. Results show that microbial community turnover occurred during embryogenesis, and stream flow rate influenced the microbial succession processes on the sturgeon egg surfaces.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23857377</PMID><DateCreated><Year>2013</Year><Month>09</Month><Day>18</Day></DateCreated><DateCompleted><Year>2014</Year><Month>04</Month><Day>16</Day></DateCompleted><DateRevised><Year>2013</Year><Month>09</Month><Day>18</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1432-184X</ISSN><JournalIssue CitedMedium="Internet"><Volume>66</Volume><Issue>3</Issue><PubDate><Year>2013</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Microbial ecology</Title><ISOAbbreviation>Microb. Ecol.</ISOAbbreviation></Journal><ArticleTitle>Microbial community assembly and succession on lake sturgeon egg surfaces as a function of simulated spawning stream flow rate.</ArticleTitle><Pagination><MedlinePgn>500-11</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s00248-013-0256-6</ELocationID><Abstract><AbstractText>We investigated microbial succession on lake sturgeon (Acipenser fulvescens) egg surfaces over the course of their incubation period as a function of simulated stream flow rate. The primary objective was to characterize the microbial community assembly during succession and to examine how simulated stream flow rate affect the successional process. Sturgeon eggs were reared under three flow regimes; high (0.55 m/s), low (0.18 m/s), and variable (0.35 and 0.11 m/s alternating 12 h intervals). Eggs were collected from each flow regime at different egg developmental stages. Microbial community DNA was extracted from egg surface and the communities were examined using 16S rRNA gene-based terminal restriction fragment length polymorphism and 454 pyrosequencing. Analysis of these datasets using principal component analysis revealed that microbial communities were clustered by egg developmental stages (early, middle, and late) regardless of flow regimes. 454 pyrosequencing data suggested that 90-98 % of the microbial communities were composed of the phyla Proteobacteria and Bacteroidetes throughout succession. β-Protebacteria was more dominant in the early stage, Bacteroidetes became more dominant in the middle stage, and α-Proteobacteria became dominant in the late stage. A total of 360 genera and 5,826 OTUs at 97 % similarity cutoff were associated with the eggs. Midway through egg development, the egg-associated communities of the low flow regime had a higher diversity than those communities developed under high or variable flow regimes. Results show that microbial community turnover occurred during embryogenesis, and stream flow rate influenced the microbial succession processes on the sturgeon egg surfaces.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fujimoto</LastName><ForeName>Masanori</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Microbiology and Molecular Genetics, Michigan State University, 6171 Biomedical and Physical Sciences, East Lansing, MI, 48824, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Crossman</LastName><ForeName>James A</ForeName><Initials>JA</Initials></Author><Author ValidYN="Y"><LastName>Scribner</LastName><ForeName>Kim T</ForeName><Initials>KT</Initials></Author><Author ValidYN="Y"><LastName>Marsh</LastName><ForeName>Terence L</ForeName><Initials>TL</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>07</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Microb Ecol</MedlineTA><NlmUniqueID>7500663</NlmUniqueID><ISSNLinking>0095-3628</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001419" MajorTopicYN="N">Bacteria</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D044822" MajorTopicYN="N">Biodiversity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="N">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005399" MajorTopicYN="N">Fishes</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D060106" MajorTopicYN="N">Lakes</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008969" MajorTopicYN="N">Molecular Sequence Data</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010063" MajorTopicYN="N">Ovum</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010802" MajorTopicYN="N">Phylogeny</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014872" MajorTopicYN="Y">Water Movements</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>09</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>06</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>7</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>7</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>4</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23857377</ArticleId><ArticleId IdType="doi">10.1007/s00248-013-0256-6</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Michigan</li></region><settlement><li>East Lansing</li></settlement><orgName><li>Université d'État du Michigan</li></orgName></list><tree><noCountry><name sortKey="Crossman, James A" sort="Crossman, James A" uniqKey="Crossman J" first="James A" last="Crossman">James A. Crossman</name><name sortKey="Marsh, Terence L" sort="Marsh, Terence L" uniqKey="Marsh T" first="Terence L" last="Marsh">Terence L. Marsh</name><name sortKey="Scribner, Kim T" sort="Scribner, Kim T" uniqKey="Scribner K" first="Kim T" last="Scribner">Kim T. Scribner</name></noCountry><country name="États-Unis"><region name="Michigan"><name sortKey="Fujimoto, Masanori" sort="Fujimoto, Masanori" uniqKey="Fujimoto M" first="Masanori" last="Fujimoto">Masanori Fujimoto</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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