↓ Skip to main content

Long-Read Sequencing Reveals Rapid Evolution of Immunity- and Cancer-Related Genes in Bats

Overview of attention for article published in Genome Biology & Evolution, September 2023
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 3,083)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
97 news outlets
blogs
5 blogs
twitter
76 X users
facebook
1 Facebook page

Readers on

mendeley
31 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
Long-Read Sequencing Reveals Rapid Evolution of Immunity- and Cancer-Related Genes in Bats
Published in
Genome Biology & Evolution, September 2023
DOI 10.1093/gbe/evad148
Pubmed ID
Authors

Armin Scheben, Olivia Mendivil Ramos, Melissa Kramer, Sara Goodwin, Sara Oppenheim, Daniel J Becker, Michael C Schatz, Nancy B Simmons, Adam Siepel, W Richard McCombie

Abstract

Bats are exceptional among mammals for their powered flight, extended lifespans, and robust immune systems and therefore have been of particular interest in comparative genomics. Using the Oxford Nanopore Technologies long-read platform, we sequenced the genomes of two bat species with key phylogenetic positions, the Jamaican fruit bat (Artibeus jamaicensis) and the Mesoamerican mustached bat (Pteronotus mesoamericanus), and carried out a comprehensive comparative genomic analysis with a diverse collection of bats and other mammals. The high-quality, long-read genome assemblies revealed a contraction of interferon (IFN)-α at the immunity-related type I IFN locus in bats, resulting in a shift in relative IFN-ω and IFN-α copy numbers. Contradicting previous hypotheses of constitutive expression of IFN-α being a feature of the bat immune system, three bat species lost all IFN-α genes. This shift to IFN-ω could contribute to the increased viral tolerance that has made bats a common reservoir for viruses that can be transmitted to humans. Antiviral genes stimulated by type I IFNs also showed evidence of rapid evolution, including a lineage-specific duplication of IFN-induced transmembrane genes and positive selection in IFIT2. In addition, 33 tumor suppressors and 6 DNA-repair genes showed signs of positive selection, perhaps contributing to increased longevity and reduced cancer rates in bats. The robust immune systems of bats rely on both bat-wide and lineage-specific evolution in the immune gene repertoire, suggesting diverse immune strategies. Our study provides new genomic resources for bats and sheds new light on the extraordinary molecular evolution in this critically important group of mammals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 76 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 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 8 26%
Student > Bachelor 3 10%
Student > Master 3 10%
Professor 2 6%
Student > Ph. D. Student 1 3%
Other 3 10%
Unknown 11 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 32%
Biochemistry, Genetics and Molecular Biology 5 16%
Unspecified 1 3%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 11 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 776. 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 06 April 2024.
All research outputs
#25,384
of 25,806,080 outputs
Outputs from Genome Biology & Evolution
#4
of 3,083 outputs
Outputs of similar age
#583
of 357,149 outputs
Outputs of similar age from Genome Biology & Evolution
#1
of 53 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 99% 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 357,149 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 99% of its contemporaries.
We're also able to compare this research output to 53 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 98% of its contemporaries.