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Profiling eukaryotic and bacterial communities of high- and low-productivity blueberry farm and forest soils

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TitleInfo
Title
Profiling eukaryotic and bacterial communities of high- and low-productivity blueberry farm and forest soils
Name (type = personal)
NamePart (type = family)
Mirzoyan
NamePart (type = given)
Seda
NamePart (type = date)
1997
DisplayForm
Mirzoyan, Seda, 1997-
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Kerkhof
NamePart (type = given)
Lee J
DisplayForm
Lee J Kerkhof
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2020
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2020-05
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Highbush blueberry (Vaccinium corymbosum) is native to North America, commercially cultivated, and grows in acidic soils with high organic content. We attempted to characterize the core microbiome of two different highbush blueberry farm soils compared to forest soils. Stable isotope probing (SIP) was employed on two low-productivity, two high-productivity blueberry farm, and two nearby forest soils using 13C-15N-Bioexpress (amino acids mixture) to detect the differences between the resident and amino acid-active soil microbial communities. The SIP experiments were coupled with bacterial and eukaryotic near full-length ribosomal profiling using Oxford Nanopore MinION sequencing technology. Bacterial rRNA operons were screened against the EzBioCloud database to characterize the resident and active rhizosphere bacterial communities, while eukaryotic rRNA operon sequences were screened against the UNITE/all eukaryotes database. Over 13,000 distinct taxonomic units were detected including a number of very abundant ones and thousands of rare members of the bacterial and eukaryotic communities inhabiting these soil systems. The results demonstrated that multiple Bacillus species were abundant in the amino acid-active communities of low-productivity soils, while high-productivity soils were dominated by amino acid-active Paraburkholderia species. Profiling the eukaryotic members of these communities indicated that mycorrhizal fungi belonging to the Glomeromycota phylum were abundant in high-productivity soils, while low-productivity soils were enriched with fungi-like organisms of the phyla Rozellomycota and Oomycota (found in the amino acid-active community fraction only). Secondly, we tried to understand whether there was hidden diversity within a subset of the most abundant fungal and bacterial taxonomic units detected in this study. High-quality and unambiguous ribosomal RNA operons of several abundant fungal and bacteria were reconstructed from the best BLAST hits by generating long-read consensus sequences (LRC). The phylogenetic analysis of the fungal LRCs was performed based on the 18S and 28S rRNA genes, while bacterial LRCs were compared based on the 16S rRNA gene. The data demonstrate that most taxonomic assignments by BLAST were accurate, but new bacterial species and/or strains were shown to potentially exist in these soil systems. Novel clades of fungi (Glomeraceae- and Rozellomycota-related) were detected as well. In conclusion, SIP and MinION sequencing elucidated the resident and active microbial communities, as well as demonstrated the differences between high- and low-productivity farm soils. In the future, this approach can be applied using other heavy isotope-containing substrates for SIP to better characterize the active members of these communities that may be crucial in shaping blueberry plant health and productivity. In addition, this approach coupled with sequencing whole genomes should provide more useful information about the individual phylogenies of the detected organisms as well as their metabolic and functional capabilities that are responsible for unique plant-microbe interactions.
Subject (authority = RUETD)
Topic
Microbial Biology
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_10855
PhysicalDescription
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application/pdf
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text/xml
Extent
1 online resource (ix, 88 pages)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
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Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-zn7h-9643
Genre (authority = ExL-Esploro)
ETD graduate
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RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Mirzoyan
GivenName
Seda
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-04-28 00:16:10
AssociatedEntity
Name
Seda Mirzoyan
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2020-11-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2020-04-27T23:57:44
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2020-04-27T23:57:44
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