↓ Skip to main content

Real-time PCR quantification of arbuscular mycorrhizal fungi: does the use of nuclear or mitochondrial markers make a difference?

Overview of attention for article published in Mycorrhiza, May 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
104 Mendeley
Title
Real-time PCR quantification of arbuscular mycorrhizal fungi: does the use of nuclear or mitochondrial markers make a difference?
Published in
Mycorrhiza, May 2017
DOI 10.1007/s00572-017-0777-9
Pubmed ID
Authors

Alena Voříšková, Jan Jansa, David Püschel, Manuela Krüger, Tomáš Cajthaml, Miroslav Vosátka, Martina Janoušková

Abstract

Root colonization by arbuscular mycorrhizal fungi (AMF) can be quantified by different approaches. We compared two approaches that enable discrimination of specific AMF taxa and are therefore emerging as alternative to most commonly performed microscopic quantification of AMF in roots: quantitative real-time PCR (qPCR) using markers in nuclear ribosomal DNA (nrDNA) and mitochondrial ribosomal DNA (mtDNA). In a greenhouse experiment, Medicago truncatula was inoculated with four isolates belonging to different AMF species (Rhizophagus irregularis, Claroideoglomus claroideum, Gigaspora margarita and Funneliformis mosseae). The AMF were quantified in the root samples by qPCR targeted to both markers, microscopy and contents of AMF-specific phospholipid fatty acids (PLFA). Copy numbers of nrDNA and mtDNA were closely related within all isolates; however, the slopes and intercepts of the linear relationships significantly differed among the isolates. Across all isolates, a large proportion of variance in nrDNA copy numbers was explained by root colonization intensity or contents of AMF-specific PLFA, while variance in mtDNA copy numbers was mainly explained by differences among AMF isolates. We propose that the encountered inter-isolate differences in the ratios of mtDNA and nrDNA copy numbers reflect different physiological states of the isolates. Our results suggest that nrDNA is a more suitable marker region than mtDNA for the quantification of multiple AMF taxa as its copy numbers are better related to fungal biomass across taxa than are copy numbers of mtDNA.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 23%
Student > Ph. D. Student 18 17%
Student > Bachelor 10 10%
Student > Doctoral Student 9 9%
Student > Master 7 7%
Other 11 11%
Unknown 25 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 50%
Environmental Science 8 8%
Biochemistry, Genetics and Molecular Biology 5 5%
Computer Science 2 2%
Psychology 2 2%
Other 5 5%
Unknown 30 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from Mycorrhiza
#518
of 653 outputs
Outputs of similar age
#275,476
of 316,427 outputs
Outputs of similar age from Mycorrhiza
#12
of 14 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 653 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.