↓ Skip to main content

SMRT genome assembly corrects reference errors, resolving the genetic basis of virulence in Mycobacterium tuberculosis

Overview of attention for article published in BMC Genomics, April 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
34 X users
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
77 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
SMRT genome assembly corrects reference errors, resolving the genetic basis of virulence in Mycobacterium tuberculosis
Published in
BMC Genomics, April 2017
DOI 10.1186/s12864-017-3687-5
Pubmed ID
Authors

Afif Elghraoui, Samuel J. Modlin, Faramarz Valafar

Abstract

The genetic basis of virulence in Mycobacterium tuberculosis has been investigated through genome comparisons of virulent (H37Rv) and attenuated (H37Ra) sister strains. Such analysis, however, relies heavily on the accuracy of the sequences. While the H37Rv reference genome has had several corrections to date, that of H37Ra is unmodified since its original publication. Here, we report the assembly and finishing of the H37Ra genome from single-molecule, real-time (SMRT) sequencing. Our assembly reveals that the number of H37Ra-specific variants is less than half of what the Sanger-based H37Ra reference sequence indicates, undermining and, in some cases, invalidating the conclusions of several studies. PE_PPE family genes, which are intractable to commonly-used sequencing platforms because of their repetitive and GC-rich nature, are overrepresented in the set of genes in which all reported H37Ra-specific variants are contradicted. Further, one of the sequencing errors in H37Ra masks a true variant in common with the clinical strain CDC1551 which, when considered in the context of previous work, corresponds to a sequencing error in the H37Rv reference genome. Our results constrain the set of genomic differences possibly affecting virulence by more than half, which focuses laboratory investigation on pertinent targets and demonstrates the power of SMRT sequencing for producing high-quality reference genomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 X users 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Student > Bachelor 14 18%
Researcher 13 17%
Student > Doctoral Student 4 5%
Professor 3 4%
Other 14 18%
Unknown 12 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 30%
Agricultural and Biological Sciences 18 23%
Medicine and Dentistry 6 8%
Immunology and Microbiology 4 5%
Nursing and Health Professions 3 4%
Other 7 9%
Unknown 16 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 17 October 2017.
All research outputs
#1,268,138
of 24,503,376 outputs
Outputs from BMC Genomics
#223
of 10,998 outputs
Outputs of similar age
#25,394
of 314,470 outputs
Outputs of similar age from BMC Genomics
#9
of 202 outputs
Altmetric has tracked 24,503,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,998 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 314,470 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.