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A species goes extinct when there are none of its kind left. In other words, extinction is about small numbers, so how does big data help us study extinction? Luckily for us, each individual of a species carries with it signatures of its past, information on how connected/ isolated it is today, and other information on what may predict its future, in its genome. The last fifteen years have witnessed a major change in how we can read genomes, and information from genomes of individuals and species can help better plan their conservation. 

All life on Earth harbours genetic material. Often called the blueprint of life, this genetic material could be DNA or RNA. We all know what DNA is, but another way to think of DNA is as data. All mammals, for example harbour between 2 to 3.5 billion bits of data in every one of their cells. The entire string of DNA data is called the whole genome. Recent changes in technology allow us to read whole genomes. We read short 151 letter long information bits many, many times, and piece together the whole genome by comparing it to a known reference. This helps us figure out where each of these 151 letter long pieces go in the 3 billion letter long word. Once we have read each position on an average of 10 or 20 times, we can be confident about it. If each genome is sequenced even ten times and only ten individuals are sampled, for mammals each dataset would consist of 200 to 350 billion bits of data!

Over time, the genome changes because of mutation, or spelling errors that creep in. Such spelling errors create variation, or differences between individual genomes in a population (a set of animals or plants). Similarly, large populations with many individuals will hold a variety of spellings or high genetic variation. Since DNA is the genetic blueprint, changes in the environment can also get reflected in these DNA spellings, with individuals with certain words in their genome surviving better than others under certain conditions. Changes in population size often changes the variety of letters observed at a specific location in the genome, or variation at a specific genomic position. Migration or movement of animals into a population adds new letters and variation. Taking all these together, the history of a population can be understood by comparing the DNA sequences of individuals. The challenge lies in the fact that every population faces all of these effects: changes in population size, environmental selection, migration and mutation, all at once, and it is difficult to separate the effects of different factors. Here, the big data comes to the rescue.

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Photo Credit: Dr Anubhab Khan

Genomic data has allowed us to understand how a population has been affected by changes in climate, and whether it has the necessary genomic variation to survive in the face of ongoing climate change. Or how specific human activities have impacted a population in the past. We can understand more about the origins of a population. How susceptible is a population to certain infections? Or whether the individuals in a population are related to each other. Some of these large datasets have helped identify if certain populations are identical and should be managed together or separately. All of these questions help in the management and conservation of a population.

We have worked on such big genomic datasets for tigers, and our research has helped us identify which populations of tigers have high genomic variation and are more connected to other populations. We have identified populations that are small and have low genomic variation, but also seem to have mis-spelled or badly spelled words, or a propensity of ‘bad’ mutations. We have identified unknown relationships between individuals within populations and have suggested strategies that could allow these isolated populations to recover their genomic variation. It has been amazing to peek into animals lives through these big data approaches, and we hope these types of genomic dataset will contribute to understanding how biodiversity can continue to survive on this Earth.


Uma Ramakrishnan is fascinated by unravelling the mysteries of nature using DNA as tool. Along with her lab colleagues, she has spent the last fifteen years studying endangered species in India.She hopes such understanding will contribute to their conservation. Uma is a professor at the National Centre for Biological Sciences.

Dr. Anubhab Khan is a wildlife genomics expert. He has researching genetics of small isolated populations for past several years and has created and analyzed large scale genome sequencing data of tigers, elephants and small cats among others. He keen about population genetics, wildlife conservation and genome sequencing technologies. He is passionate about ending technology disparity in the world by either making advanced technologies and expertise available or by developing techniques that are affordable and accessible to all.

This series is an initiative by the Nature Conservation Foundation (NCF), under their programme ‘Nature Communications’ to encourage nature content in all Indian languages. To know more about birds and nature, Join The Flock


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James Webb Telescope Detects Potential Gas Giant Exoplanet Just 4 Light-Years Away

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James Webb Telescope Detects Potential Gas Giant Exoplanet Just 4 Light-Years Away

New observational evidence from the James Webb Space Telescope (JWST), which has yet to launch, may change that. JWST astronomers have found tantalising hints of an orbiting gas giant around Alpha Centauri A, the closest Sun-like star to us. Located just four light-years away in the Alpha Centauri triple-star system, the potential planet sits within the star’s habitable zone — the region where liquid water could exist — but its gas giant nature makes it inhospitable to life. Even so, its location and distinctiveness make the detection among the most captivating detections in exoplanetary exploration prior.

JWST Unveils Possible Closest Sun-Like Star Exoplanet, Awaiting Confirmation

According to a NASA report, this was done with the JWST Mid-Infrared Instrument (MIRI) using a coronagraphic mask to block out stellar glare. This method caught sight of an object which is almost 10,000 times fainter than Alpha Centauri A and at a separation of around two astronomical units. If upheld, it would be the nearest exoplanet to a similar being ever pictured and, moreover, the first healthy globe discovered in direct significance.

Researchers noted that while Alpha Centauri already hosts two confirmed planets around the red dwarf Proxima Centauri, no planet has yet been confirmed around Alpha Centauri A. Follow-up JWST observations did not capture the planet again, possibly because it was too close to the star during the imaging. Computer simulations support this possibility.

The team wants to look for more evidence using both JWST and the yet-to-be-launched Nancy Grace Roman Space Telescope, due in May 2027. Confirmation would represent a watershed moment in planetary system science, where astronomers are looking into embryonic solar systems around other stars.

Researchers said the potential planet’s existence in such a dynamic binary star system could challenge current models of planetary formation and survival. Two papers detailing the findings have been accepted for publication in The Astrophysical Journal Letters.

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Earliest Known Black Hole Found Just 500 Million Years After the Big Bang

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Earliest Known Black Hole Found Just 500 Million Years After the Big Bang

Astronomers have discovered the most distant black hole yet, an ancient quasar more than 13 billion light years from our own Earth, incredibly close to the limit of where scientists even expect supermassive black holes to form. The cosmic behemoth of a galaxy, known as CAPERS-LRD-z9, provides a wide-window echo back in time to one of the furthest peeks into our early universe yet, only shortly after the Big Bang, when our cosmos was a fraction (3%) of its current age. Now, researchers led by those in The University of Texas at Austin’s Cosmic Frontier team have found what are likely very powerful gas outflows and also evidence that some of the very first black holes were born much, much heavier than previously believed.

Early Black Hole Found in ‘Little Red Dot’ Galaxy Challenges Growth Models

According to a study published in The Astrophysical Journal this week, researchers led by those at The University of Texas at Austin’s Cosmic Frontier team are announcing they have made the most sensitive measurements to date less than a billion years after the Big Bang, and these neonatal black holes were producing gas outflows fast enough — and over a long enough period — to halt stars forming in surrounding galaxies.

More recently discovered, the Little Red Dots galaxy appears to be just the sort of ominous-sounding crimson that would shoot a vibrant deep red due to intense radiation taking place among giant black holes and gas clouds.

A little galaxy of mass in all that more than enough of less, those hundreds of millions of suns among which all those stars are caught. This, in turn, birthed the supermassive galactic monsters — either quickly overcooked giants or premature sizes.

JWST high-z key science theme & imaging science exposure for mapping the process of supermassive black hole formation, growth, and evolution at high spatial detail.

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Greenland’s Melting Glaciers Feed Ocean Life, Study Finds

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Greenland's Melting Glaciers Feed Ocean Life, Study Finds

The process of Greenland’s ice sheet melting is not only raising sea levels, it is also feeding life in the ocean. As the most productive for marine life, phytoplankton harvesting energy from this nutrient-filled climate change is altering how this biological pump works in these warming ares. In a new study, scientists employed cutting-edge computer models to simulate the intricate movements of ice melt and seawater with ocean currents and marine biology behaviour finnesing adding more detail to an understanding of these unseen forces between Earth’s shifting polar zones.

Glacial Melt Fuels a Surge in Ocean Life

According to precious study, each summer Jakobshavn Glacier releases more than 300,000 gallons of freshwater per second into the sea. This less-dense meltwater shoots upward through heavier, salty seawater, dragging deep-sea nutrients—like iron and nitrate—toward the sunlit surface. These nutrients are essential for phytoplankton, which are the foundation of the ocean food chain.

In recent decades, NASA satellite data recorded a 57% surge in Arctic phytoplankton, and scientists now have a clearer picture of why. The nutrient boost is especially crucial in late summer, when spring blooms have already depleted surface waters. Without direct access to such remote regions, researchers had long struggled to test the nutrient-plume hypothesis—until now.

NASA’s Digital Ocean Brings Clarity Beneath the Ice

To simulate the chaotic waters of Greenland’s fjords, researchers used the ECCO-Darwin model, developed by NASA’s Jet Propulsion Laboratory and MIT. Fueled by billions of ocean measurements—temperature, salinity, pressure—this model replicates how biology, chemistry, and physics interact. Using NASA’s supercomputers at Ames Research Center, the team calculated a 15–40% increase in phytoplankton growth from glacial nutrients.

Yet more change looms: as melting accelerates, seawater may lose its ability to absorb CO₂ even as plankton pull more of it in. “Like a Swiss Army knife,” said researcher Michael Wood, “this model helps us explore ecosystems far beyond Greenland.”

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