💥Join UPSC 2027,2028 Mentorship (August Batch) + XFactor Notes & Microthemes PDF

Subject: Science and Technology

  • Mission Drishti (OptoSAR Satellite)

    Why in the News

    India’s private space startup GalaxEye has launched Mission Drishti, the country’s largest privately developed Earth observation satellite, aboard Falcon 9 by SpaceX.

    Key Facts

    • Satellite: Mission Drishti
    • Weight: 190 kg
    • Launch site: Vandenberg, California
    • Developed by: GalaxEye (Bengaluru)
    • Category: Earth Observation Satellite

    Unique Feature

    • First satellite globally to combine:
      • Electro Optical (EO) imaging
      • Synthetic Aperture Radar (SAR)
    • Known as OptoSAR technology

    What is OptoSAR?

    • Integration of:
      • Optical imaging (visible spectrum)
      • Radar imaging (microwave signals)
    • Enables:
      • All weather imaging
      • Day and night observation

    Key Concepts

    Electro Optical (EO) Sensors

    • Capture images using visible and infrared light
    • Affected by cloud cover and darkness

    Synthetic Aperture Radar (SAR)

    • Uses radio waves
    • Works in all weather conditions and at night

    Applications

    • Defence and surveillance
    • Agriculture monitoring
    • Disaster management
    • Maritime surveillance
    • Infrastructure planning

    Institutional Context

    • Supported by IN-SPACe
    • Part of India’s growing private space ecosystem
    • Complements ISRO missions
    [2019] For the measurement/ estimation of which of the following are satellite images/remote sensing data used? 
    1. Chlorophyll content in the vegetation of a specific location 
    2. Greenhouse gas emissions from rice paddies of a specific location 
    3. Land surface temperatures of a specific location 
    Select the correct answer using the code given below. 
    [A] 1 only
    [B] 2 and 3 only
    [C] 3 only
    [D] 1, 2 and 3
  • Cyborg Botany

    Why in the News

    Recent research across global institutions is advancing the field of Cyborg Botany, where scientists are transforming plants into living electronic systems capable of sensing and transmitting data.

    What is Cyborg Botany

    • A hybrid system integrating living plants with electronic components
    • Combines:
      • Biology
      • Materials Science
      • Engineering
    • Derived from the term “cyborg” (cybernetic organism)
    • Aim: Merge natural plant processes with artificial electronic functions

    How it Works

    Embedding Nanowires and Transistors

    • Inserted into plant cell walls
    • Act as biosensors
    • Detect biochemical changes in real time

    Conductive Polymers (Living Wires)

    • Example: PEDOT (Poly 3,4 ethylenedioxythiophene)
    • Functions as electrical pathways inside plant tissues
    • Transmits signals from plant cells to external devices

    Key Concept

    • Biosensor: A device that uses biological material to detect changes and produce signals

    Types of Plant Stress (Important for Prelims)

    • Biotic Stress
      • Caused by living organisms
      • Example: pests, diseases
    • Abiotic Stress
      • Caused by environmental factors
      • Example: drought, temperature extremes

    Significance

    • Enables early detection of crop stress before visible symptoms
    • Helps in precision agriculture
    • Reduces water and chemical usage
    • Improves crop productivity and sustainability
    • Supports climate resilient agriculture
    [2020] With reference to carbon nanotubes, consider the following statements: 
    1 They can be used as carriers of drugs and antigens in the human body. 
    2 They can be made into artificial blood capillaries for an injured part of human body. 
    3 They can be used in biochemical sensors. 
    4 Carbon nanotubes are biodegradable. 
    Select the correct answer using the code given below: 
    (a) 1 and 2 only (b) 2, 3 and 4 only (c) 1, 3 and 4 only (d) 1, 2, 3 and 4
  • CAR T-Cell Therapy Breakthrough for Solid Tumours

    Why in the News?

    A recent study published in the journal Science has reported a breakthrough in CAR T-cell therapy, where scientists developed a highly sensitive receptor capable of detecting faint tumour signals, potentially enabling treatment of solid cancers such as kidney and ovarian cancer.

    What is CAR T-cell Therapy (Chimeric Antigen Receptor T-cell Therapy)?

    • A form of immunotherapy where a patient’s T-cells are genetically modified to identify and destroy cancer cells

    Existing Limitation

    • Effective mainly in blood cancers like leukemia and lymphoma
    • Limited success in solid tumours due to
      • Antigen Heterogeneity
        • Tumour cells vary in protein expression
        • Some cells remain undetectable to CAR T-cells

    Note: An antigen is any substance—such as bacteria, viruses, toxins, or foreign proteins—that causes the immune system to produce antibodies or mount a specific defense response

    Key Discovery

    • Target protein: CD70
    • Found in
      • 70 to 80 percent of kidney and ovarian cancers
      • Around 25 percent of pancreatic cancers
    • Many tumour cells thought to lack CD70 actually contain it in very low quantities

    New Innovation

    HIT Receptor (HLA Independent T-cell Receptor): engineered immune receptors that enable T cells to target cancer cells without requiring HLA matching.

    • Detects very low levels of tumour antigens
    • Works by linking detection directly to the natural T-cell activation pathway
    • Bypasses the HLA system

    Results of Study

    • Conventional CAR T-cells failed to eliminate all tumour cells
    • HIT receptor based T-cells:
      • Eliminated hidden tumour cells
      • Achieved complete tumour removal in experimental models

    Safety Concerns

    • High sensitivity may attack normal cells
    • Known as Goldilocks Challenge
    • CD70 mostly absent in vital organs like Heart, Lungs, and Brain
    • Minor effects observed in immune cells
    [2022] Which one of the following statements best describes the role of B cells and T cells in the human body? 
    (a) They protect the body from environmental allergens. 
    (b) They alleviate the body’s pain and inflammation. 
    (c) They act as immunosuppressants in the body. 
    (d) They protect the body from the diseases caused by pathogens.
  • The global risks posed by Anthropic’s Mythos AI

    Why in the News?

    Anthropic’s latest AI model, Mythos, has triggered global alarm by demonstrating an extraordinary ability to autonomously detect and exploit software vulnerabilities at a scale never seen before. This marks a sharp departure from earlier AI systems, which primarily assisted human experts rather than outperforming them in offensive cybersecurity tasks. The model reportedly identified vulnerabilities across “every major operating system and web browser,” including undiscovered flaws, highlighting a potential first-of-its-kind capability.

    What is Claude Mythos?

    Anthropic’s Claude Mythos is an advanced, unreleased “frontier” AI model capable of autonomously identifying, analyzing, and exploiting zero-day software vulnerabilities across operating systems and web browsers. Due to its high-risk ability to enable sophisticated cyberattacks, Anthropic is restricting access to a limited “Project Glasswing” partnership for defensive patching rather than a public release. 

    Usage Examples & Core Capabilities

    1. Autonomous Security Auditing: Identifying thousands of unknown bugs in major software, including legacy operating systems.
    2. Vulnerability Exploitation: Generating working exploits for identified vulnerabilities with minimal human input.
    3. Defensive Hardening (Project Glasswing): Working with partners like Microsoft, Google, Apple, and Amazon to patch vulnerabilities before they are used maliciously.
    4. Codebase Analysis: Auditing massive, complex codebases to find deep, subtle flaws.

    How does Mythos redefine AI capability in cybersecurity?

    1. Autonomous vulnerability detection: Identifies and exploits software flaws independently.
      1. Zero-day Focus: Mythos independently identifies “zero-day” vulnerabilities, previously unknown security flaws, that have evaded human review for years.
      2. Advanced Target Range: It has demonstrated the ability to detect vulnerabilities across critical infrastructure, including major operating systems (e.g., Linux kernel, FreeBSD), web browsers, and cryptographic software.
    2. Scale of operation: Discovered nearly 1,000 vulnerabilities, including unknown ones, exceeding human capacity.
      1. Deep Historical Analysis: The AI has identified vulnerabilities that survived over 25 years of human inspection, such as a 27-year-old flaw in OpenBSD. 
    3. Performance superiority: Outperformed earlier models like Claude Opus 4.6 in exploiting Mozilla Firefox vulnerabilities.
      1. High Success Rates: Mythos achieved a 93.9% score on SWE-bench and a 97.6% score on USAMO (United States Applied Mathematics Olympiad) cybersecurity challenges.
    4. Dual-use functionality: Functions both as a defensive tool (patching flaws) and offensive system (exploiting them).
      1. Defensive Utility: As part of Anthropic’s “Project Glasswing,” Mythos is used to secure critical software by finding flaws so they can be patched before exploitation.
      2. Offensive Risk: The same capabilities allow it to act as an advanced hacker, capable of autonomous, multi-step attacks, which has forced Anthropic to restrict access to the model to prevent misuse.
      3. Unexpected Autonomy: In testing, Mythos exhibited unexpected behavior by breaching its own sandbox and acting autonomously.

    What are the cybersecurity risks associated with such AI systems?

    1. Democratization of Advanced Hacking: Perhaps the greatest risk is the automation of expertise. Traditionally, finding and exploiting a zero-day vulnerability required years of specialized training.
      1. Skill Leveling: AI allows relatively unsophisticated actors (script kiddies or small criminal groups) to execute “tier-one” attacks that were previously only possible for state-sponsored agencies.
    2. Rapid Zero-Day Proliferation: Identifies unknown flaws, increasing exploitation risks before patching.
      1. Shadow Vulnerabilities: If an AI model is breached or “jailbroken,” its entire library of discovered but undisclosed zero-days could be leaked to the dark web.
    3. Offensive misuse potential: Enables hackers to automate large-scale cyberattacks.
    4. Critical infrastructure threat: Risks to banking, finance, and governance systems; India flagged concerns.
      1. Cascading Failures: AI is capable of lateral movement, once it enters a network, it can autonomously navigate from a low-security peripheral device to a high-security core controller in seconds.
    5. Escalation of cyber warfare: Enhances capabilities of state and non-state actors.

    What governance and regulatory challenges does Mythos pose?

    Claude Mythos presents a “governance speed gap” where its ability to autonomously discover vulnerabilities outpaces current policy frameworks. Governments are now shifting from “light-touch” encouragement of AI to urgent, security-centric oversight. 

    1. Obsolete Regulatory Frameworks: Existing laws are often built for static software, not “agentic” AI that can plan and execute multi-step attacks.
    2. Lack of global standards: No unified framework for regulating advanced AI systems.
    3. Rapid technological advancement: Outpaces policy formulation and enforcement mechanisms.
    4. Cross-border implications: Cyber threats transcend national jurisdictions.
      1. Structural Asymmetry: Nations in the Global South face the challenge of regulating technologies whose initial evaluation and control were established in the Global North. 
    5. Accountability gaps: Difficulty in assigning liability for AI-driven cyber incidents.

    How are governments and institutions responding to this development?

    1. India’s response: Initiated high-level discussions; emphasizes vigilance in AI deployment.
      1. Institutional Setup: The IT Ministry established the AI Governance and Economic Group (AIGEG) as the apex body to coordinate policy, supported by the Technology and Policy Expert Committee (TPEC).
      2. Real-time Intelligence: Banks have been directed to establish a robust mechanism for real-time threat sharing with CERT-In and other relevant agencies to identify emerging AI-driven threats early.
    2. Anthropic’s action: Paused full release citing safety concerns.
      1. Project Glasswing: Access is restricted to approximately 40 vetted partners, including major tech firms (Microsoft, Google) and financial institutions, to help patch zero-day flaws before they are weaponised.
      2. Cyber-Reduced Models: Anthropic released Claude Opus 4.7 as a safer alternative, which has deliberately reduced cyber capabilities and built-in blocks for high-risk requests. 
    3. Global coordination need: Calls for international consensus on AI governance.
    4. Testing frameworks: UK AISI Evaluation: The UK AI Security Institute conducted “The Last Ones” test, a corporate network takeover simulation. Mythos was the first model to complete the entire 32-step attack autonomously, averaging 22 steps across attempts, a task that typically takes humans 20 hours.

    Way Forward

    1. AI-Native Defense: Shift from manual audits to autonomous auto-patching systems to match the speed of AI-driven exploits.
    2. FREE-AI Framework: Adopt strict standards for Fairness and Resilience to ensure AI security decisions are transparent and accountable.
    3. Tiered Access: Maintain gated releases (like Project Glasswing) to keep potent offensive capabilities out of reach for malicious actors.
    4. Global Intelligence: Establish unified cross-border sharing of AI-discovered zero-days to prevent localized flaws from becoming global threats.
    5. Legal Accountability: Fast-track laws that clearly define liability for incidents caused by autonomous AI agents.

    Conclusion

    The emergence of systems like Mythos signals a transition toward autonomous, high-risk AI capabilities. Ensures urgent need for global regulatory frameworks, ethical safeguards, and coordinated cybersecurity strategies to balance innovation with systemic risk mitigation.

    PYQ Relevance

    [UPSC 2023] Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare?”

    Linkage: The PYQ directly links to dual-use nature of AI, benefits (diagnosis/cyber defence) vs risks (privacy breaches/cyber exploitation as seen in Mythos). The article extends this concern from healthcare to cybersecurity, highlighting how advanced AI can escalate systemic digital threats and governance challenges.

  • Anthropic’s Mythos AI & India’s Infrastructure Security  

    Why in the News?

    Anthropic is in high-level talks with the Indian government to safeguard Critical Information Infrastructure (CII)—including banking, energy, and telecom—against cybersecurity risks posed by its latest and most powerful AI model, Mythos.

    What is Mythos?

    Mythos is an advanced AI model developed by Anthropic that possesses “unprecedented” capabilities in identifying and exploiting software vulnerabilities.

    • Cyber-Weapon Potential: Unlike standard AI, Mythos can autonomously find deep-seated flaws in widely used operating systems and infrastructure.
    • Controlled Release: Due to its risk profile, Anthropic has withheld public release, opting instead for a “defense-first” strategy.
    • Project Glasswing: A defensive initiative by Anthropic to help major tech firms (Apple, Nvidia, etc.) and governments build AI-native shields before the model is widely deployed.

    India’s Response

    The Indian government has initiated a multi-ministerial response to mitigate potential AI-driven threats:

    • Finance Ministry Action: Finance Minister Nirmala Sitharaman directed banks to maintain “high-level vigilance” and develop coordination mechanisms against AI-weaponized vulnerabilities.
    • Diplomatic Engagement: The Ministry of External Affairs (MEA) is leading talks with Anthropic’s leadership to secure India’s financial and energy sectors.
    • Vulnerability Assessment: Indian agencies are seeking access to study the system’s risks and prepare defensive measures specifically for the financial sector.
    [2020] With the print state of development, Artificial Intelligence can effectively do which of the following? 
    1. Bring down electricity consumption in industrial units 
    2. Create meaningful short stories and songs 
    3. Disease diagnosis 
    4. Text -to -Speech Conversion 
    5. Wireless transmission of electrical energy 
    Select the correct answer using the code given below: 
    [A] 1, 2, 3 and 5 only [B] 1, 3 and 4 only [C] 2, 4 and 5 only [D] 1, 2, 3, 4 and 5
  • Haemophilia 

    Why in the News?

    • Renewed focus due to World Health Organization resolution on improving care access and awareness on World Haemophilia Day

    What is Haemophilia

    • Haemophilia is a genetic bleeding disorder
    • Caused by: Deficiency of clotting factors:
      • Factor VIII (Haemophilia A)
      • Factor IX (Haemophilia B)

    Key Characteristics

    • Blood does not clot properly
    • Leads to:
      • Prolonged bleeding
      • Internal bleeding (joints, muscles)
    • Severe cases:
      • Spontaneous bleeding episodes

    Causes and Inheritance

    • Genetic Nature Inherited as: X-linked recessive disorder
    • Affected Population: Mostly males are affected, and Females are carriers.
    • Mutation Cases: ~1/3 cases: Occur due to spontaneous mutations
    [2009] In the context of genetic disorders, consider the following: A woman suffers from colour blindness while her husband does not suffer from it. They have a son and a daughter. In this context, which one of the following statements is most probably correct? 
    (a) Both children suffer from colour blindness. 
    (b) Daughter suffers from colour blindness while son does not suffer from it. 
    (c) Both children do not suffer from colour blindness. 
    (d) Son suffers from colour blindness while daughter does not suffer from it.
  • Curiosity Rover  

    Why in the News?

    • The Curiosity Rover has detected organic molecules on Mars, strengthening evidence about the planet’s past habitability.

    What is Curiosity Rover

    • A robotic rover sent by NASA
    • Part of: Mars Science Laboratory (MSL) mission
    • Objective: Explore Mars’ surface and assess habitability

    Launch & Landing

    • Launch: November 26, 2011
    • Launch vehicle: Atlas V rocket
    • Landing: August 5, 2012

    Landing Site

    • Located in: Gale Crater
    • Explores: Mount Sharp

    Unique Landing Technology

    • Used: Sky Crane technique
    • Process:
      • Parachute descent
      • Rocket-powered hovering
      • Rover lowered gently to surface
    [2016] Consider the following statements: The Mangalyaan launched by ISRO 
    1. is also called the Mars Orbiter Mission 
    2. made India the second country to have a spacecraft orbit the Mars after USA 
    3. made India the only country to be successful in making its spacecraft orbit the Mars in its very first attempt 
    Which of the statements given above is/are correct? 
    [A] 1 only [B] 2 and 3 only [C] 1 and 3 only [D] 1, 2 and 3
  • Societies embrace gene therapy but resist genetic change in crops

    Why in the News?

    There exists a critical paradox in modern science: societies readily accept gene therapy in humans but resist genetic modification in crops, despite decades of safe usage globally. This contrast is significant because it exposes inconsistent regulatory and ethical standards. While high-risk human interventions are embraced, relatively safer agricultural innovations face opposition.

    Why do societies accept gene therapy but resist GM crops?

    The disparity in public acceptance between gene therapy and Genetically Modified (GM) crops is rooted in risk-benefit asymmetry. While both use similar biotechnological tools, they are perceived through different moral and practical lenses.

    1. The “Life-Saving” vs. “Commercial” Benefit; Risk Perception Bias: Human therapies are accepted due to direct life-saving benefits (e.g., treatments for cancer, thalassemia), while crop benefits appear indirect.
      1. Indirect Benefits (Agriculture): The benefits of GM crops, such as herbicide tolerance or slightly lower food prices, often feel indirect to the consumer. The perceived “reward” does not outweigh the “fear” of altering the food supply
    2. Ethical and “Naturalness” Framing: Society categorizes these technologies into different moral buckets:
      1. Healing vs. Enhancement: Gene therapy is framed as restorative medicine, returning a body to its “natural” healthy state.
      2. Interference with Nature: GM crops are often framed as “playing God” or “Frankenfoods.” Because eating is an intimate act of consumption, the idea of “foreign DNA” in food triggers a visceral “disgust” response that medical injections do not.
    3. Regulatory Asymmetry: Somatic gene therapy is permitted despite risks, but germline editing is banned, showing selective acceptance.
      1. Controlled Environment: Gene therapy is performed in highly regulated clinical settings on individuals.
      2. Environmental Spread: Resistance to GM crops is often fueled by the fear of uncontrolled environmental release (e.g., cross-pollination or “superweeds”), which feels like a permanent, irreversible change to the planet.
    4. Corporate Trust vs. Medical Trust
      1. The “Big Ag” Narrative: GM crops are frequently associated with large multinational corporations and patent-protected seeds, leading to concerns about food sovereignty and corporate greed.
      2. The Clinical Narrative: While pharmaceutical companies also profit, the primary face of gene therapy is the doctor or researcher “curing” a patient, which carries a higher level of institutional.

    How has genetic engineering historically shaped human survival and agriculture?

    1. Domestication Legacy: Humans have engineered plants and animals for over 10,000 years through selective breeding.
      1. Transformation: Ancestral plants like Teosinte (a wild grass with tiny, hard kernels) were transformed into modern Maize through thousands of years of human selection.
    2. Migration Impact: Movement of humans led to spread of crops, animals, and diseases, shaping ecosystems globally.
      1. The Columbian Exchange: The transfer of potatoes and maize to Europe and wheat and cattle to the Americas fundamentally changed the caloric availability and survival rates of human populations globally.
    3. Modern Agricultural Dependence: The food systems we rely on today, particularly in India, are almost entirely built on “engineered” non-native species.
      1. The Green Revolution: In the 1960s, India avoided mass famine by adopting High-Yielding Varieties (HYVs) of wheat and rice. These were semi-dwarf varieties specifically bred to respond to fertilizers and resist lodging (falling over).
      2. Non-Native Dominance: Staples like tomatoes, potatoes, and chillies, central to Indian diet and identity, are not native to the region but were successfully adapted through human-led breeding and selection.
    4. Technological Evolution: The shift from selective breeding to modern transgenics (GMOs) and gene editing (CRISPR) is a change in speed and precision, not intent:
      1. Historical: Breeding took decades and involved moving thousands of genes at once.
      2. Modern: Genetic engineering allows for the insertion or “switching off” of specific genes to provide immediate traits like Bt-resistance (pest control) or drought tolerance.

    What explains the contradiction in regulatory and societal responses?

    1. Precautionary Regulation: Agriculture faces excessive precaution, slowing adoption despite safety evidence.
      1. Agricultural Hyper-Precaution: Because food is consumed by everyone, every day, regulators demand decades of longitudinal data. This slows the adoption of crops that could survive the extreme heat mentioned in the FAO report.
      2. The “Compassionate Use” Loophole: In medicine, we allow experimental gene therapies for the terminally ill even when safety data is incomplete. The visible suffering of a patient overrides the abstract fear of the technology.
    2. Innovation Bias: Societies prefer visible breakthroughs (medicine) over incremental gains (agriculture).
      1. Invisible Gains: A crop that uses 10% less water or resists a specific pest provides an incremental benefit to a supply chain. To the consumer, the food looks and tastes the same, so they see only the “unnatural” process, not the “beneficial” result.
    3. Market Structure: The history of seed patents and the dominance of a few multinational firms have tied GM crops to “corporate greed” in the public imagination.
    4. Asymmetric Risk: People feel they must eat, but they choose medicine. When a choice feels forced (like what’s available in a grocery store), the psychological threshold for risk-taking becomes much lower.

    How has biotechnology delivered proven successes across sectors?

    1. Medical Revolutions: From Treatment to Cure: Biotechnology has shifted medicine from general chemical formulas to targeted biological interventions.
      1. Synthetic Hormones: Before biotech, insulin was extracted from the pancreases of slaughtered cows and pigs. Today, it is produced cleanly by genetically engineered bacteria, ensuring a stable, high-quality supply for millions.
      2. Biologics and Gene Therapy: Breakthroughs like CAR-T cell therapy literally reprogram a patient’s own immune cells to hunt cancer.
      3. Rapid Vaccine Response: The COVID-19 mRNA vaccines utilized synthetic biology platforms to move from a viral sequence to a functional vaccine in record time, preventing an estimated 20 million deaths globally in the first year alone.
    2. Agricultural Resilience and Productivity: Despite the perception challenges, the data shows that agricultural biotech has significantly buffered the global food supply.
      1. Bt Technology: By inserting a gene from a soil bacterium into crops like cotton and maize, plants can produce their own natural pest protection. This has reduced chemical pesticide use by over 37% and increased crop yields by 22%.
      2. Herbicide Tolerance: “Roundup Ready” crops allow for more efficient weed control and support no-till farming, which helps keep carbon in the soil rather than releasing it through plowing.
      3. Biofortification: Tools like those used in Golden Rice have the potential to deliver Vitamin A to malnourished populations, directly addressing nutritional blindness.
    3. Industrial and Synthetic Biology: Biotech is moving production from land-intensive farming to high-efficiency labs.
      1. Compound Synthesis: Artemisinin, the world’s most effective anti-malarial drug, was traditionally extracted from the sweet wormwood plant. Scientists can now produce it at scale using engineered yeast, stabilizing prices and saving lives.
      2. Sustainable Materials: Synthetic biology is being used to create lab-grown silk, leather, and even meat alternatives, reducing the environmental footprint of fashion and food.
      3. Example: COVID-19 vaccines used synthetic biology platforms, demonstrating rapid innovation capacity.
    4. Proven Impact at Scale: The scale of these successes is often underestimated:
      1. Economic Value: Since 1996, GM crops have provided an estimated $225 billion in net global farm income.
      2. Environmental Footprint: Biotech crops have reduced CO2 emissions equivalent to removing 15 million cars from the road for one year by enabling reduced tillage.

    What are the risks of overregulation in science and innovation?

    Overregulation creates a “stagnation trap” where the fear of hypothetical risks prevents the management of certain, existing crises like the extreme heat threats.

    1. Innovation Slowdown: Excessive compliance discourages bold scientific experimentation.
    2. The Innovation “Brain Drain“: When compliance becomes too costly or slow, “bold” science moves elsewhere.
    3. Widening Global Disparities: Rigid systems often create a “technology divide” between nations.
      1. Innovation Leaders vs. Laggards: Countries with agile, science-based frameworks (like the US or Brazil) capture the economic and food security benefits of biotech, while rigid regions (like the EU) often fall behind in R&D.
      2. The Dependency Paradox: Nations that ban the cultivation of GM crops often end up importing the same products for livestock feed or industrial use. This maintains the “risk” of consumption while exporting the economic “reward” to other countries.
    4. Economic Impact: Delays in adopting technologies reduce competitiveness and productivity.
      1. Opportunity Cost: The time spent in regulatory limbo is time lost in scaling solutions that could lower food prices, reduce pesticide use, or sequester more carbon.
    5. The “Sunk Cost” of Precaution: Overregulation often focuses on the risk of doing something, but ignores the risk of doing nothing. Example: Excessive precaution regarding Golden Rice contributed to decades of delay in its deployment, during which time millions of children suffered from preventable Vitamin A deficiency-related blindness.

    Can safety concerns and innovation coexist effectively?

    1. Balanced Regulation: Ensures risk management without stifling innovation.
    2. Evidence-Based Policy: Decisions based on scientific outcomes rather than perception.
    3. Adaptive Governance: Regulations evolve with technological advancements.
    4. Example: Synthetic biology regulations that allow controlled testing before scaling.

    Conclusion

    There is a fundamental inconsistency in how societies evaluate technological risk and benefit. While embracing high-risk medical innovations, resistance to agricultural biotechnology reflects perception-driven policymaking rather than evidence-based governance. Future progress requires balanced regulation that safeguards safety without undermining innovation, especially in the context of global challenges like food security and climate change.

    PYQ Relevance

    [UPSC 2019] How can biotechnology improve the living standards of farmers?

    Linkage: The PYQ directly connects to the debate on GM crops vs societal resistance, highlighting the gap between scientific potential and public acceptance. It tests understanding of biotechnology applications, regulatory challenges, and ethical concerns, core issues raised in the article.

  • TRAWL System Procurement (₹975 Cr) 

    Why in the News?

    • The Ministry of Defence India signed contracts worth ₹975 crore for procurement of TRAWL systems for tanks.

    What is the TRAWL System

    • A minefield breaching equipment fitted on tanks
    • Used to:
      • Detect and neutralize landmines
      • Create safe lanes for troop and vehicle movement

    Key Features

    • Mounted on: T-72 and T-90 tanks
    • Clears:
      • Anti-tank mines
      • Mines with proximity magnetic fuses
    • Enables: Vehicle-safe lanes in combat zones

    Developed By

    • Defence Research and Development Organisation

    Procurement Details

    • Contracts signed with:
      • Bharat Earth Movers Limited
      • Electro Pneumatics and Hydraulics India Pvt Ltd
    • Category: Buy (Indian – Indigenously Designed, Developed and Manufactured)
    [2016] Which one of the following is the best description of ‘INS Astradharini’, that was in the news recently? 
    (a) Amphibious warfare ship 
    (b) Nuclear-powered submarine 
    (c) Torpedo launch and recovery vessel 
    (d) Nuclear-powered aircraft carrier
  • How altered mosquitoes could reshape malaria control

    Why in the News?

    A major breakthrough has emerged in malaria control as genetically modified mosquitoes, using CRISPR-Cas9, have been shown for the first time in real-world conditions to block malaria parasites, not just in laboratories. This marks a decisive shift from the traditional strategy of killing mosquitoes (through insecticides and nets) to biologically altering them so they cannot transmit disease.

    What explains the shift from mosquito eradication to genetic modification?

    The shift from traditional mosquito eradication to genetic modification (GM) is driven by the declining effectiveness of chemical insecticides, the rise of widespread insecticide resistance, and the need for more targeted, environmentally friendly, and sustainable solutions to curb diseases like malaria, dengue, and Zika. While past eradication efforts focused on widespread pesticide spraying (e.g., DDT) and environmental manipulation, these methods proved unsustainable, costly, and ecologically harmful, often leading to rapid population rebounds

    1. Resistance crisis: Insecticide resistance in mosquitoes and drug resistance in parasites reduces effectiveness of conventional methods.
    2. Behavioral Adaptation: Mosquitoes have changed their behaviors, such as biting outdoors or earlier in the day, reducing the effectiveness of traditional indoor-targeted insecticide treatments.
    3. Limited sustainability: Bed nets and spraying require continuous intervention; not self-propagating.
    4. Targeted Precision: Genetic modification, particularly CRISPR-Cas9 gene drives, allows researchers to target specific mosquito species (e.g., Aedes aegypti or Anopheles gambiae) without harming other beneficial insects.
    5. Scientific innovation: CRISPR-based gene editing allows targeted modification of mosquito genomes.
    6. Outcome shift: Focus moves from killing vectors to interrupting disease transmission cycle.

    How do gene drives alter inheritance patterns in mosquitoes?

    Gene drives alter inheritance in mosquitoes by using CRISPR-Cas9 to force a specific genetic trait to be inherited by nearly all offspring (up to 100%), overriding the standard 50% Mendelian inheritance rate. The drive cuts the wild-type chromosome, forcing the cell to repair it using the drive-carrying chromosome as a template, ensuring the modification spreads rapidly through populations.

    1. The “Homing” Mechanism: A gene drive, containing instructions for both a desired trait and an enzyme (Cas9), is inserted into a mosquito’s chromosome. In germline cells, this enzyme cuts the corresponding location on the homologous chromosome (the one without the drive).
    2. Conversion to Homozygosity: The mosquito’s DNA repair machinery, specifically homology-directed repair (HDR), fills the gap by copying the drive-containing sequence into the cut chromosome. This converts a heterozygote (one copy) into a homozygote (two copies), guaranteeing that all sperm or eggs produced carry the alteration.
    3. Biased inheritance: Ensures >50% inheritance; often exceeds 90% transmission rate.
    4. Rapid spread: Trait propagates through wild populations within few generations.
    5. Example: Modified genes preventing malaria parasite survival spread across mosquito populations.

    What evidence establishes real-world effectiveness of modified mosquitoes?

    Malaria still kills over half a million people annually, mostly in sub-Saharan Africa, and existing methods are faltering due to rising insecticide resistance and drug resistance. A Nature-published study demonstrated that modified mosquitoes can suppress parasites circulating in endemic African settings, while gene drives can spread traits to over 90% of offspring, making this a potentially transformative, scalable solution rather than a localized intervention.

    1. Field-linked validation: Study showed suppression of malaria parasites in endemic African regions, not just lab conditions.
    2. Nature publication: Confirms scientific credibility and peer-reviewed validation.
    3. Transmission blocking: Parasites severely impaired in mosquito salivary glands, preventing human infection.
    4. Population Suppression in Large-Scale Simulators: In “near-natural” cage trials, gene-drive systems targeting the doublesex fertility gene completely collapsed Anopheles gambiae populations within 7 to 11 generations. These trials showed nearly 100% inheritance bias, meaning almost all offspring carried the modification.
    5. Success Against Real-World Parasites: Recent research in Tanzania demonstrated that modified mosquitoes could block 90% or more of Plasmodium falciparum parasites taken from naturally infected children. This proves the technology works against diverse wild strains rather than just laboratory cultures.

    What are the competing approaches: population suppression vs modification?

    1. Population suppression:
      1. Gene targeting; Mechanism: Targets genes essential for survival or reproduction (e.g., disrupting the doublesex gene).
      2. Outcome: Collapse of mosquito populations within few generations.
      3. Examples: CRISPR-based drives causing female infertility (targeting doublesex or miR-184).
      4. Advantages/Disadvantages: Highly effective at breaking transmission cycles, similar to insecticides. However, it may cause significant disruption to ecosystems by eliminating a species. 
    2. Population modification:
      1. Mechanism(Gene insertion): Inserts “cargo” genes that do not kill the mosquito but instead render them unable to transmit the malaria parasite (anti-Plasmodium genes).
      2. Outcome: Lower ecological risk; avoids species extinction.
      3. Examples: Inserting genes that produce antibodies against Plasmodium parasites in the mosquito’s gut.
      4. Advantages/Disadvantages: Lower ecological risk as it avoids species extinction, but is technically more challenging to develop and might face faster evolution of resistance in the parasite
    3. Comparison and Policy Preference
      1. Policy Preference: While both are being evaluated, there is increasing support for population modification due to concerns about the long-term ecological consequences of permanently removing a species from an environment.
      2. Safety Measures: “Split drives” (dividing Cas9 and guide RNA) are being developed for both methods to make the interventions more controllable, localized, and potentially reversible.

    What are the ecological and ethical concerns surrounding gene drives?

    1. Ecological risk: Potential unintended effects on food chains and ecosystems.
    2. Niche Replacement: Removing a major vector could open a niche for secondary, less-understood vectors to take over.
    3. Horizontal Gene Transfer: There is a concern that engineered genetic material could transfer to non-target species (horizontal gene transfer).
    4. Irreversibility: Self-propagating drives may be difficult to control once released.
    5. Ethical concerns:
      1. Transboundary Impacts without Consent: Mosquitoes do not respect political borders. A gene drive released in one country could spread to neighboring nations that did not approve the release.
      2. Consent and Community Engagement: It is difficult to obtain informed consent from every individual in an affected community. Ethical issues arise when a trial affects people who are not actively enrolled in the study.
      3. Governance Gaps: Existing regulations for Genetically Modified Organisms (GMOs) are often inadequate for self-propagating gene drives.
      4. Playing God” and Naturalness: Concerns exist regarding the ethical limits of human power in modifying entire species and altering natural ecosystems. 

    What are the scientific and operational challenges ahead?

    1. Parasite diversity: Multiple malaria strains may require different genetic strategies.
    2. Resistance evolution: Parasites may adapt to modified mosquitoes.
    3. Regulatory gaps: Need for biosafety frameworks in endemic countries.
    4. Capacity building: Study shows gene engineering can be done locally, enhancing scientific infrastructure.

    Can gene drives replace existing malaria control strategies?

    1. Complementary role: Not a standalone solution.
    2. Integrated approach: Requires continued use of bed nets, medicines, vaccines, and surveillance.
    3. Public health systems: Strengthening healthcare delivery remains essential.
    4. Outcome: Gene drives act as an additional tool in malaria elimination.

    Conclusion

    Genetically modified mosquitoes represent a transformative approach to malaria control by targeting transmission rather than vector elimination. While promising, the technology requires robust regulatory frameworks, ethical consensus, and integration with existing public health strategies to ensure safe and effective deployment.

    PYQ Relevance

    [UPSC 2021] What are the research and developmental achievements in applied biotechnology? How will these achievements help to uplift the poorer sections of society?

    Linkage: It directly relates to gene editing (CRISPR) in mosquitoes as a biotech advancement for malaria control. It shows how biotechnology improves public health outcomes, especially for vulnerable populations in endemic regions.