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Optimization of DNA extraction and PCR protocols for phylogenetic analysis in Schinopsis spp. and related Anacardiaceae

Overview of attention for article published in SpringerPlus, April 2016
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Title
Optimization of DNA extraction and PCR protocols for phylogenetic analysis in Schinopsis spp. and related Anacardiaceae
Published in
SpringerPlus, April 2016
DOI 10.1186/s40064-016-2118-4
Pubmed ID
Authors

Virginia Y. Mogni, Mariano A. Kahan, Luciano Paganucci de Queiroz, José L. Vesprini, Juan Pablo A. Ortiz, Darién E. Prado

Abstract

The Anacardiaceae is an important and worldwide distributed family of ecological and socio-economic relevance. Notwithstanding that, molecular studies in this family are scarce and problematic because of the particularly high concentration of secondary metabolites-i.e. tannins and oleoresins-that are present in almost all tissues of the many members of the group, which complicate the purification and amplification of the DNA. The objective of this work was to improve an available DNA isolation method for Schinopsis spp. and other related Anacardiaceae, as well as the PCR protocols for DNA amplification of the chloroplast trnL-F, rps16 and ndhF and nuclear ITS-ETS fragments. The modifications proposed allowed the extraction of 70-120 µg of non-degraded genomic DNA per gram of dry tissue that resulted useful for PCR amplification. PCR reactions produced the expected fragments that could be directly sequenced. Sequence analyses of amplicons showed similarity with the corresponding Schinopsis accessions available at GenBank. The methodology presented here can be routinely applied for molecular studies of the group aimed to clarify not only aspects on the molecular biology but also the taxonomy and phylogeny of this fascinating group of vascular plants.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Researcher 5 14%
Student > Ph. D. Student 5 14%
Professor 4 11%
Professor > Associate Professor 4 11%
Other 6 16%
Unknown 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 51%
Biochemistry, Genetics and Molecular Biology 4 11%
Environmental Science 2 5%
Medicine and Dentistry 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 9 24%
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 25 May 2016.
All research outputs
#20,328,845
of 22,873,031 outputs
Outputs from SpringerPlus
#1,460
of 1,850 outputs
Outputs of similar age
#253,411
of 299,116 outputs
Outputs of similar age from SpringerPlus
#127
of 151 outputs
Altmetric has tracked 22,873,031 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.
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