Sequencing studies show how TB moved with humans, adapted to treatments
ATLANTA, Jun 12, 2018 – The bacterium that causes tuberculosis has an intertwined relationship with humans, according to new sequencing studies.
Mycobacterium tuberculosis is an obligate human
pathogen that must cause disease in order to be transmitted.
Furthermore, its evolution is tied up with that of people since
only humans transmit it, the University of Wisconsin's Caitlin
Pepperell said at the ASM Microbe 2018 meeting here.
By
sequencing bacterial isolates, she and her colleagues traced its
migration across the globe, but they also considered what was
occurring within human society at the time.
"What I wanted to do was to embed the genomic data into a
sensible historical context," Pepperell said during a session
devoted to paleomicrobiology.
She and her colleagues
sequenced the whole genomes of 552 M. tuberculosis
isolates, which they used to develop a phylogenetic tree. They
used evolutionary rate estimates based on ancient DNA
calibrations and timed the migration of
M. tuberculosis, comparing it to human movements during
that era, as they also reported in
a preprint in BioRxiv.
The timing of the mass dispersal of
M. tuberculosis coincided with a time of increased
trade among humans, Pepperell said. The bacterium, she added,
appeared to be moving along human trade routes such as the Silk
Road.
While increased human interconnectedness and
disease spread is typically thought of as a modern problem,
Pepperell noted increased global travel also contributed to
bacterial movements back then. She further pointed out that M.
tuberculosis spread was efficient and followed complex patterns.
She noted there were exchanges between bacteria in eastern
Africa and in Southeast Asia. "The bacteria was zipping around
the Indian Ocean, no big deal," she said.
Pepperell
added, though, that China and East Asia did not appear to
contribute to this historical spread of tuberculosis, which she
noted was surprising as there is a large
M. tuberculosis population there now.
She
teamed up with researchers at Fudan University who were also
studying M. tuberculosis. They analyzed 4,578
M. tuberculosis isolates from all Chinese provinces to
find that there were likely four events that introduced
tuberculosis to China. They further uncovered remarkably low
genetic diversity — Pepperell said that the countrywide
genetic diversity of M. tuberculosis in China was lower
than that of cities in India.
When they then viewed
their result through a historical lens, Pepperell said that
China's isolationist policies at that time might have prevented
additional introductions of M. tuberculosis.
Pepperell also noted that tuberculosis evolves
clonally, with not a lot of horizontal gene transfer, which is
typically important for antibiotic resistance. She and her
colleagues examined the whole genomes of more than 1,000 M.
tuberculosis isolates and particularly homed in on known
drug-resistance loci to tease out a genomic signature.
These
loci, Pepperell said, were either "tight" or "sloppy." Tight
targets had just a few mutations crop up again and again, while
sloppy targets harbored a wider range of mutations. One tight
target, KatG, had one isoniazid resistance mutation affecting
the serine at position 315 emerge repeatedly as she and her
colleagues also reported in
an mSystems paper
published earlier this year. This mutation, Pepperell said, must
have had the lowest cost to other aspects of fitness.
By
contrast, the sloppy target pncA harbored 62 nonsynonymous
mutations in their dataset, they reported.
She and
her colleagues also examined human cultural adaptations to
tuberculosis and its treatment. Sanatoriums for tuberculosis
patients open in the 1830s, isolating them from the public. They
hypothesized that with the advent of anti-tuberculosis drugs,
that patients' stay there would be shortened. However, by
sifting through admissions data, they found that the length of
admission increased to more than 14 months and that the number
of repeat and overall admissions also increased.
Source:
GenomeWeb