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Novel primers for complete mitochondrial cytochrome b gene sequencing in mammals

Overview of attention for article published in Molecular Ecology Resources, October 2011
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Title
Novel primers for complete mitochondrial cytochrome b gene sequencing in mammals
Published in
Molecular Ecology Resources, October 2011
DOI 10.1111/j.1755-0998.2011.03078.x
Pubmed ID
Authors

ASHWIN NAIDU, ROBERT R. FITAK, ADRIAN MUNGUIA‐VEGA, MELANIE CULVER

Abstract

Sequence-based species identification relies on the extent and integrity of sequence data available in online databases such as GenBank. When identifying species from a sample of unknown origin, partial DNA sequences obtained from the sample are aligned against existing sequences in databases. When the sequence from the matching species is not present in the database, high-scoring alignments with closely related sequences might produce unreliable results on species identity. For species identification in mammals, the cytochrome b (cyt b) gene has been identified to be highly informative; thus, large amounts of reference sequence data from the cyt b gene are much needed. To enhance availability of cyt b gene sequence data on a large number of mammalian species in GenBank and other such publicly accessible online databases, we identified a primer pair for complete cyt b gene sequencing in mammals. Using this primer pair, we successfully PCR amplified and sequenced the complete cyt b gene from 40 of 44 mammalian species representing 10 orders of mammals. We submitted 40 complete, correctly annotated, cyt b protein coding sequences to GenBank. To our knowledge, this is the first single primer pair to amplify the complete cyt b gene in a broad range of mammalian species. This primer pair can be used for the addition of new cyt b gene sequences and to enhance data available on species represented in GenBank. The availability of novel and complete gene sequences as high-quality reference data can improve the reliability of sequence-based species identification.

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The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
India 1 <1%
Malaysia 1 <1%
Argentina 1 <1%
Australia 1 <1%
Unknown 163 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 22%
Student > Ph. D. Student 32 19%
Student > Bachelor 24 14%
Student > Master 20 12%
Student > Doctoral Student 9 5%
Other 26 15%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 55%
Biochemistry, Genetics and Molecular Biology 27 16%
Environmental Science 11 6%
Medicine and Dentistry 4 2%
Veterinary Science and Veterinary Medicine 3 2%
Other 6 3%
Unknown 26 15%
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 07 October 2011.
All research outputs
#18,297,449
of 22,653,392 outputs
Outputs from Molecular Ecology Resources
#1,455
of 1,624 outputs
Outputs of similar age
#110,391
of 132,872 outputs
Outputs of similar age from Molecular Ecology Resources
#8
of 10 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.