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https://hdl.handle.net/1959.11/16397
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | McMillan, Mary | en |
dc.contributor.author | Pereg, Lily | en |
dc.date.accessioned | 2015-01-05T16:54:00Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | PLoS One, 9(5), p. 1-8 | en |
dc.identifier.issn | 1932-6203 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/16397 | - |
dc.description.abstract | 'Azospirillum brasilense' is a nitrogen fixing bacterium that has been shown to have various beneficial effects on plant growth and yield. Under normal conditions 'A. brasilense' exists in a motile flagellated form, which, under starvation or stress conditions, can undergo differentiation into an encapsulated, cyst-like form. Quantitative RT-PCR can be used to analyse changes in gene expression during this differentiation process. The accuracy of quantification of mRNA levels by qRT-PCR relies on the normalisation of data against stably expressed reference genes. No suitable set of reference genes has yet been described for A. brasilense. Here we evaluated the expression of ten candidate reference genes ('16S' 'rRNA', 'gapB', 'glyA', 'gyrA', 'proC', 'pykA', 'recA', 'recF', 'rpoD', and 'tpiA') in wild-type and mutant 'A. brasilense' strains under different culture conditions, including conditions that induce differentiation. Analysis with the software programs BestKeeper, NormFinder and GeNorm indicated that 'gyrA', 'glyA' and 'recA' are the most stably expressed reference genes in 'A. brasilense'. The results also suggested that the use of two reference genes ('gyrA and glyA') is sufficient for effective normalisation of qRT-PCR data. | en |
dc.language | en | en |
dc.publisher | Public Library of Science | en |
dc.relation.ispartof | PLoS One | en |
dc.title | Evaluation of Reference Genes for Gene Expression Analysis Using Quantitative RT-PCR in 'Azospirillum brasilense' | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1371/journal.pone.0098162 | en |
dcterms.accessRights | Gold | en |
dc.subject.keywords | Microbial Ecology | en |
dc.subject.keywords | Bacteriology | en |
dc.subject.keywords | Microbial Genetics | en |
local.contributor.firstname | Mary | en |
local.contributor.firstname | Lily | en |
local.subject.for2008 | 060504 Microbial Ecology | en |
local.subject.for2008 | 060501 Bacteriology | en |
local.subject.for2008 | 060503 Microbial Genetics | en |
local.subject.seo2008 | 970106 Expanding Knowledge in the Biological Sciences | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | mrookle2@une.edu.au | en |
local.profile.email | lperegge@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20141218-151926 | en |
local.publisher.place | United States of America | en |
local.identifier.runningnumber | e98162 | en |
local.format.startpage | 1 | en |
local.format.endpage | 8 | en |
local.identifier.scopusid | 84901359861 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 9 | en |
local.identifier.issue | 5 | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | McMillan | en |
local.contributor.lastname | Pereg | en |
dc.identifier.staff | une-id:mrookle2 | en |
dc.identifier.staff | une-id:lperegge | en |
local.profile.orcid | 0000-0002-2336-3985 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:16633 | en |
local.identifier.handle | https://hdl.handle.net/1959.11/16397 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Evaluation of Reference Genes for Gene Expression Analysis Using Quantitative RT-PCR in 'Azospirillum brasilense' | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | McMillan, Mary | en |
local.search.author | Pereg, Lily | en |
local.uneassociation | Unknown | en |
local.identifier.wosid | 000340948600111 | en |
local.year.published | 2014 | en |
local.subject.for2020 | 310703 Microbial ecology | en |
local.subject.for2020 | 310701 Bacteriology | en |
local.subject.for2020 | 310704 Microbial genetics | en |
local.subject.seo2020 | 280102 Expanding knowledge in the biological sciences | en |
Appears in Collections: | Journal Article School of Science and Technology |
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