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Advances in plant gene-targeted and functional markers: a review

Overview of attention for article published in Plant Methods, February 2013
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2 X users
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1 Google+ user

Citations

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259 Dimensions

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381 Mendeley
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Title
Advances in plant gene-targeted and functional markers: a review
Published in
Plant Methods, February 2013
DOI 10.1186/1746-4811-9-6
Pubmed ID
Authors

Péter Poczai, Ildikó Varga, Maarja Laos, András Cseh, Neil Bell, Jari PT Valkonen, Jaakko Hyvönen

Abstract

Public genomic databases have provided new directions for molecular marker development and initiated a shift in the types of PCR-based techniques commonly used in plant science. Alongside commonly used arbitrarily amplified DNA markers, other methods have been developed. Targeted fingerprinting marker techniques are based on the well-established practices of arbitrarily amplified DNA methods, but employ novel methodological innovations such as the incorporation of gene or promoter elements in the primers. These markers provide good reproducibility and increased resolution by the concurrent incidence of dominant and co-dominant bands. Despite their promising features, these semi-random markers suffer from possible problems of collision and non-homology analogous to those found with randomly generated fingerprints. Transposable elements, present in abundance in plant genomes, may also be used to generate fingerprints. These markers provide increased genomic coverage by utilizing specific targeted sites and produce bands that mostly seem to be homologous. The biggest drawback with most of these techniques is that prior genomic information about retrotransposons is needed for primer design, prohibiting universal applications. Another class of recently developed methods exploits length polymorphism present in arrays of multi-copy gene families such as cytochrome P450 and β-tubulin genes to provide cross-species amplification and transferability. A specific class of marker makes use of common features of plant resistance genes to generate bands linked to a given phenotype, or to reveal genetic diversity. Conserved DNA-based strategies have limited genome coverage and may fail to reveal genetic diversity, while resistance genes may be under specific evolutionary selection. Markers may also be generated from functional and/or transcribed regions of the genome using different gene-targeting approaches coupled with the use of RNA information. Such techniques have the potential to generate phenotypically linked functional markers, especially when fingerprints are generated from the transcribed or expressed region of the genome. It is to be expected that these recently developed techniques will generate larger datasets, but their shortcomings should also be acknowledged and carefully investigated.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 <1%
Germany 2 <1%
Malaysia 1 <1%
Uganda 1 <1%
Netherlands 1 <1%
Ethiopia 1 <1%
Portugal 1 <1%
Bolivia, Plurinational State of 1 <1%
Italy 1 <1%
Other 6 2%
Unknown 363 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 20%
Researcher 77 20%
Student > Master 60 16%
Student > Bachelor 39 10%
Student > Doctoral Student 21 6%
Other 54 14%
Unknown 53 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 237 62%
Biochemistry, Genetics and Molecular Biology 48 13%
Unspecified 7 2%
Engineering 5 1%
Computer Science 4 1%
Other 19 5%
Unknown 61 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 June 2013.
All research outputs
#13,378,113
of 22,696,971 outputs
Outputs from Plant Methods
#625
of 1,075 outputs
Outputs of similar age
#161,008
of 287,582 outputs
Outputs of similar age from Plant Methods
#14
of 20 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% 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 287,582 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.