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Bioinformatics studies of Influenza A hemagglutinin sequence data indicate recombination-like events leading to segment exchanges

Overview of attention for article published in BMC Research Notes, April 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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1 Facebook page
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1 Wikipedia page

Citations

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7 Dimensions

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31 Mendeley
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Title
Bioinformatics studies of Influenza A hemagglutinin sequence data indicate recombination-like events leading to segment exchanges
Published in
BMC Research Notes, April 2016
DOI 10.1186/s13104-016-2017-3
Pubmed ID
Authors

Antara De, Tapati Sarkar, Ashesh Nandy

Abstract

The influenza genome is highly variable due primarily to two mechanisms: antigenic drift and antigenic shift. A third mechanism for genetic change, known as copy choice or template switching, can arise during replication when, if two viral strains infect a cell, a part of a gene from the second viral strain can be copied into the growing progeny of a gene of the first viral strain as replacement leading to a new variety of the virus. This template switching between the same genes of the two strains is known as homologous recombination. While genetic drift and shift are well-understood, the presence or absence of intra-segment homologous recombination in influenza genomes is controversial. We are interested to study the possibility of subunit-wise homologous recombination. The idea is that where well-defined subunits are separated by consensus sequences, it might be possible for template switching to take place at such junctions. The influenza hemagglutinin gene has basically two subunits, HA1 and HA2, with HA1 being mostly surface exposed and containing the active site for binding to cells, while HA2 secures the hemagglutinin to the viral coat. We undertook a thorough search of the major human infecting influenza hemagglutinin gene sequences, viz., the H1N1, H5N1, H3N2 and H7N9 subtypes, over the period 2010-2014 in Asia to determine if certain sequences could be identified that had HA1 from a previous strain and HA2 from another. Our search yielded several instances where sequence identities between segments of various strains could be interpreted as indicating possibilities of segment exchange. In some cases, on closer examination they turn out to differ by a few mutations in each segment, due perhaps to the short time span of our database. The study reported here, and in combination with our earlier observations on the neuraminidase, shows that subunit-wise recombination-like events in the influenza genes may be occurring more often than have been accounted for and merits further detailed studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Bachelor 6 19%
Student > Master 6 19%
Student > Ph. D. Student 6 19%
Other 1 3%
Other 2 6%
Unknown 3 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 29%
Agricultural and Biological Sciences 8 26%
Medicine and Dentistry 4 13%
Immunology and Microbiology 2 6%
Computer Science 2 6%
Other 3 10%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2020.
All research outputs
#7,233,951
of 22,865,319 outputs
Outputs from BMC Research Notes
#1,168
of 4,267 outputs
Outputs of similar age
#102,507
of 299,082 outputs
Outputs of similar age from BMC Research Notes
#23
of 99 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,267 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 299,082 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.