22,000-year-old fossil from China reveals long-lost panda lineage

Jun 20, 2018, 12:43 IST | ANI

Evidence suggests that pandas in the past were much more widespread, but it has been unclear how those pandas were related to pandas of today

22,000-year-old fossil from China reveals long-lost panda lineage

Beijing: Scientists have isolated the world's oldest DNA evidence from pandas from a 22,000-year-old fossil found in China, and discovered a new lineage of the species. The report, published in the journal Current Biology, shows that the ancient panda found in Cizhutuo Cave in the Guangxi Province of China separated from present-day pandas 144,000 to 227,000 years ago, suggesting that it belonged to a distinct group not found today.

"Using a single complete mitochondrial (mt) DNA sequence, we find a distinct mitochondrial lineage, suggesting that the Cizhutuo panda, while genetically more closely related to present-day pandas than other bears, has a deep, separate history from the common ancestor of present-day pandas," said Qiaomei Fu from the Chinese Academy of Sciences.

"This really highlights that we need to sequence more DNA from ancient pandas to really capture how their genetic diversity has changed through time and how that relates to their current, much more restricted and fragmented habitat," said Fu.
Very little has been known about pandas' past, especially in regions outside of their current range in Shaanxi province or Gansu and Sichuan provinces.

Evidence suggests that pandas in the past were much more widespread, but it has been unclear how those pandas were related to pandas of today. In the new study, researchers used sophisticated methods to fish mitochondrial DNA from the ancient cave specimen. That is a particular challenge because the specimen comes from a subtropical environment, which makes preservation and recovery of DNA difficult.

The researchers successfully sequenced nearly 150,000 DNA fragments and aligned them to the giant panda mitochondrial genome reference sequence to recover the Cizhutuo panda's complete mitochondrial genome.
They then used the new genome along with mitochondrial genomes from 138 present-day bears and 32 ancient bears to construct a family tree. Their analysis shows that the split between the Cizhutuo panda and the ancestor of present-day pandas goes back about 183,000 years.

The Cizhutuo panda also possesses 18 mutations that would alter the structure of proteins across six mitochondrial genes.
The researchers said that those amino acid changes may be related to the ancient panda's distinct habitat in Guangxi or perhaps climate differences during the Last Glacial Maximum.

The findings suggest that the ancient panda's maternal lineage had a long and unique history that differed from the maternal lineages leading to present-day panda populations. The researchers said that their success in capturing the mitochondrial genome also suggests that they might successfully isolate and analyse DNA from the ancient specimen's much more expansive nuclear genome.

"Comparing the Cizhutuo panda's nuclear DNA to present-day genome-wide data would allow a more thorough analysis of the evolutionary history of the Cizhutuo specimen, as well as its shared history with present-day pandas," Fu said. f their sentence.

Catch up on all the latest Crime, National, International and Hatke news here. Also download the new mid-day Android and iOS apps to get latest updates

This story has been sourced from a third party syndicated feed, agencies. Mid-day accepts no responsibility or liability for its dependability, trustworthiness, reliability and data of the text. Mid-day management/mid-day.com reserves the sole right to alter, delete or remove (without notice) the content in its absolute discretion for any reason whatsoever

DISCLAIMER: mid-day and its affiliates shall have no liability for any views, thoughts and comments expressed on this article.

Don't try this at home! Women play 'Talvar Garba' with swords

This website uses cookie or similar technologies, to enhance your browsing experience and provide personalised recommendations. By continuing to use our website, you agree to our Privacy Policy and Cookie Policy. OK