APPSC Daily Current Affairs 17th February 2026
Relevance:
GS II – Governance & social sector reforms. GS III – AI, digital economy, agriculture technology, health innovation
Important Keywords
For Prelims:
- Gates Foundation, Swarnandhra Vision-2047, AWARE platform, ORF tool, Ayushman Bharat Digital Mission, AI governance initiatives
Why in News?
- Andhra Pradesh entered a strategic partnership with the Gates Foundation.
- Aim is to accelerate development using technology, AI, healthcare innovation, education reforms, and agriculture modernisation.
Key Objectives of Partnership
- Empower people through improved services.
- Create wealth and economic growth.
- Promote technology-driven governance.
- Improve health, education, and agriculture outcomes.
Background Significance
- CM Naidu called Bill Gates’ visit historic.
- Recalled 1997 interaction leading to Microsoft’s Hyderabad presence, which boosted the IT ecosystem.
- Partnership expected to similarly transform Andhra Pradesh’s development trajectory.
Swarnandhra Vision-2047
Long-term development roadmap to make AP a leading state by 2047.
Economic & Social Targets
- Economy: $180 billion → $2.4 trillion
- Per capita income: $3,400 → $42,000
- Unemployment: 4.1% → 2%
- Women workforce participation: 45.8% → 80%
- Literacy: 72% → 100%
- Skilled workforce: 95%
- Life expectancy: 85 years
Ten Cardinal Principles
- Zero poverty
- Employment for all
- Skill development
- Water security
- Agri-technology adoption
- World-class logistics
- Energy and fuel security
- Product quality improvement
- Swach Andhra
- Deep-tech development
Digital Governance Model
Government focusing on speed of service delivery using technology.
Key initiatives:
- Aadhaar-based verification services.
- Personal and family data lake systems.
- Integration of State and Central databases.
- AWARE (AP Wide Area Real-time Execution) for real-time monitoring.
- WhatsApp governance services.
- DG Verify digital authentication tools.
- Data-driven decision-making using real-time analytics.
Technology & Innovation Clusters
State developing specialised tech hubs:
- Quantum Valley – Amaravati
- Data & AI City – Visakhapatnam
- Green Hydrogen Valley – Kakinada
- Drone City – Orvakal
- Electronics–Aero City – Lepakshi
- Electronics–Space City – Tirupati
Additional facts:
- AI used in 10 sectors and 30 departments.
- 98 AI use cases implemented.
- 43 hackathons conducted.
- Seven data lake projects underway.
Education Sector Initiatives
- Focus on foundational literacy and numeracy.
- Use of ORF (Oral Reading Fluency) tool.
- Covers 13.4 lakh students in 35,000 schools.
- Technology used to monitor learning outcomes.
Agriculture & Allied Sector
- AI and drones used for:
- Crop monitoring
- Pest and disease detection
- Precision farming practices
- Aim: improve productivity and reduce crop losses.
Health Sector Initiatives
Universal Health Screening
- 71 lakh people screened.
- 41 diagnostic tests conducted at low cost.
- Linked with Ayushman Bharat Digital Mission.
Sanjeevini Programme
- Pilot project in Kadapa district.
- Healthcare services through 109 centres.
- Statewide rollout from July 2026.
- Target coverage: 5.2 crore people.
Future Healthcare Vision
- AI-supported healthcare delivery.
- Proposal for AI doctor access for every citizen.
- AI to provide expert medical advice in remote areas.
Role of Gates Foundation
- Provides global expertise in:
- Public health systems
- Digital health solutions
- Agricultural innovation
- Data-driven governance models.
- Strengthens international collaboration in development.
CARE MCQ
Q. The Andhra Pradesh–Gates Foundation partnership mainly focuses on:
A. Defence manufacturing expansion
B. Technology-driven improvements in governance and social sectors
C. Privatization of welfare schemes
D. Establishment of private universities
Answer: B
Explanation:
The partnership aims to use AI, digital systems, and innovation to improve governance, healthcare, education, and agriculture.
Relevance:
GS III: Science & Technology in governance, environmental governance, disaster management, public health policy
Important Keywords
For Prelims:
- Indian Scientific Service (ISS), Civil Services structure, Central Civil Services (Conduct) Rules, 1964, Evidence-based policymaking
For Mains:
- Scientific governance, Indian Scientific Service (ISS), Generalist Civil Service, Scientific Cadre, Evidence-Based Policymaking, Scientific Integrity, Administrative vs Technical Governance, Scientific Independence, Regulatory Science, Climate Governance, Technology Governance
Why in News?
- A proposal has been made to create an Indian Scientific Service (ISS) — a dedicated scientific cadre within government.
- The idea highlights the growing need for scientific expertise in policymaking as governance increasingly deals with technology, climate change, health, and environmental challenges.
Background
- After Independence, India prioritised administrative stability and national integration.
- Governance relied on generalist civil servants (IAS-type system) to manage diverse administrative challenges.
- This system ensured:
- Institutional continuity
- Uniform laws and governance
- Political and territorial integration.
However, 21st-century governance problems are fundamentally different.
Changing Nature of Governance
Earlier challenges:
- Revenue administration
- Law and order
- Institutional coordination
Present challenges:
- Climate change and environmental protection
- Public health and pandemics
- Artificial intelligence and emerging technologies
- Disaster management
- Nuclear and biotechnology regulation
- Ocean and water resource management
These require specialised scientific knowledge, not administrative experience alone.
Administrator–Scientist Paradox
| Administrators | Scientists |
| Selected through competitive exams | Developed through long research and peer review |
| Trained for coordination & implementation | Trained for inquiry & evidence evaluation |
| Hierarchical decision-making | Independent questioning & experimentation |
| Clear career structure | Limited institutional framework |
Result:
- Scientists work under administrative rules designed for generalists.
- Scientific expertise often remains advisory rather than integral to policymaking.
Problems with Existing System
- Scientists governed by Central Civil Services (Conduct) Rules, 1964.
- Administrative culture emphasises:
- Discipline
- Neutrality
- Hierarchy
But science requires:
- Questioning assumptions
- Recording uncertainty
- Presenting evidence even if it challenges policy.
Consequences:
- Scientific inputs used mainly during crises.
- Limited documentation of risks.
- Reduced institutional authority of scientists.
- Science becomes symbolic rather than decision-shaping.
International Practices
Countries with dedicated scientific governance systems:
- United States
- United Kingdom
- France
- Germany
- Japan
Features:
- Scientific integrity protections
- Transparent documentation of advice
- Protection from political interference
- Evidence-based policymaking while elected leaders retain final authority.
What is the Indian Scientific Service (ISS)?
A proposed permanent All-India scientific cadre working alongside civil services.
Key Features:
- National-level recruitment with peer evaluation.
- Scientists embedded within ministries and regulatory bodies.
- Separate service rules suited to scientific work.
- Institutional protection for professional independence.
- Clear distinction between:
- Scientific advice
- Political decision-making.
Proposed ISS Structure (Illustrative Cadres)
- Indian Environmental & Ecological Service
- Indian Climate & Atmospheric Service
- Indian Water & Hydrological Service
- Indian Marine & Ocean Service
- Indian Public Health & Biomedical Service
- Indian Disaster Risk & Resilience Service
- Indian Energy & Resources Service
- Indian Science & Technology Policy Service
- Indian Agricultural & Food Systems Service
- Indian Regulatory Science Service
Expected Benefits
- Evidence-based policymaking
- Better risk assessment and long-term planning
- Stronger environmental and climate governance
- Improved disaster preparedness
- Greater scientific transparency
- Enhanced public trust in policy decisions.
Significance for India
- Supports India’s ambitions in:
- Climate leadership
- Technological innovation
- Public health security
- Sustainable development.
- Moves governance from reactive science use → continuous scientific integration.
Conclusion
- India’s generalist civil service successfully ensured post-Independence stability.
- Modern governance now requires institutionalised scientific reasoning alongside administrative efficiency.
- The Indian Scientific Service would complement — not replace — existing civil services.
- Integrating scientific expertise into governance can strengthen accountability, improve policy quality, and build long-term national resilience.
CARE MCQ
The proposed Indian Scientific Service (ISS) primarily aims to:
- Replace the Indian Administrative Service with technical experts
- Increase the number of research institutions in India
- Integrate scientific expertise directly into policymaking and governance
- Centralise all scientific research under one ministry
Answer: C
Explanation
The Indian Scientific Service (ISS) is proposed to bring scientists directly into government decision-making so that policies are based on scientific evidence.
- It will not replace IAS officers.
- It will not create new research institutions.
- It will not centralise research under one ministry.
Its main goal is to use scientific knowledge while making government policies.
Relevance:
Facts for Prelims – Genome editing technologies – Types of genetic mutations, GS Paper III – Science & Technology, Advances in genetic engineering, Precision medicine and rare disease treatment
Important Keywords
For Prelims:
- Nonsense mutation, Premature stop codon (TAG), Genome editing, Prime editing, pegRNA (Prime-editing guide RNA), tRNA (Transfer RNA), PERT (Prime-Editing-mediated Readthrough of Premature Termination codons)
For Mains:
- Mutation-class therapy vs disease-specific therapy, Precision medicine approach, Repurposing cellular machinery for treatment, Efficiency comparison of genome-editing methods, Safety considerations in genome editing
Why in News?
A study published in Nature reports a single genome-editing strategy capable of treating multiple genetic diseases caused by nonsense mutations. Researchers from the Broad Institute, Harvard University, and the University of Minnesota developed a method using prime editing to restore protein production across different disorders.
Background: Genetic Disorders and Nonsense Mutations
- Genetic disorders often arise from small DNA sequence errors.
- Many diseases such as cystic fibrosis, Batten disease, and Tay-Sachs disease occur due to faulty protein production.
- A common error is the nonsense mutation:
- A single incorrect DNA change introduces a premature stop signal (stop codon).
- Protein synthesis stops early.
- Leads to incomplete or non-functional proteins.
- Nonsense mutations account for about one-quarter (25%) of disease-causing genetic changes.
Current Problem
- Each mutation halts protein formation at a different point.
- Therefore, separate therapies must be designed and approved individually.
- This makes treatment development slow, complex, and expensive.
Key Breakthrough
Instead of correcting each mutation separately, researchers developed a strategy called:
PERT – Prime-Editing-Mediated Readthrough of Premature Termination Codons
- Converts a cell’s own gene machinery into a tool that overrides faulty stop signals.
- Enables cells to ignore incorrect instructions and complete protein production.
Understanding Protein Production (Biological Basis)
- DNA is transcribed into messenger RNA (mRNA).
- mRNA contains three-letter genetic codes called codons.
- Transfer RNA (tRNA) reads codons and delivers matching amino acids.
- Ribosomes join amino acids to form proteins.
- Human cells contain hundreds of tRNA genes, many redundant.
- Altering some tRNAs is generally harmless, making them suitable therapeutic targets.
Repurposing tRNA Genes
Researchers used genome editing to modify tRNAs so they:
- Recognize premature stop signals.
- Insert amino acids instead of stopping translation.
- Allow full-length protein production.
Earlier attempts used natural suppressor tRNAs but faced issues:
- Safety concerns
- Poor durability
- Insufficient efficiency
Prime Editing Approach
- Uses a specialised molecule called prime-editing guide RNA (pegRNA).
- Guides editing machinery to a precise DNA location.
- Inserts required genetic templates without cutting DNA aggressively.
Key Achievement
- Demonstrated that a human tRNA gene can be rewritten to produce suppressor tRNA at safe natural levels.
- Edited cells bypassed premature stop codons while maintaining normal protein production.
Finding Effective Candidates
- Human cells contain 418 tRNA genes.
- Researchers screened them to identify suitable candidates.
- Four tRNAs — for:
- leucine
- arginine
- tyrosine
- serine
showed promise in suppressing the common stop codon TAG.
Optimization
- Thousands of engineered variants were created by:
- Adjusting DNA sequences
- Making structural modifications
- Result: more stable and efficient suppressor tRNAs.
Engineering and Screening
- Over 17,000 configurations were tested.
- Scientists identified a highly efficient prime-editing enzyme named PE6c.
- Combined with an additional guide RNA strategy called PE3:
- Encourages cellular DNA repair machinery to adopt edits.
Efficiency and Safety
- Editing efficiency reached 60–80% in cultured human cells.
- Much higher than traditional gene insertion methods such as:
- Homology-Directed Repair (HDR): typically, 10–20% or lower.
Safety Observations
- No disruption to:
- Overall cellular activity
- Normal protein production
- Edited system distinguished between:
- Faulty stop signals (ignored)
- Natural stop signals (respected)
Disease Models Tested
Technique evaluated in mouse models of diseases caused by premature stop codons:
- Batten disease
- Tay-Sachs disease
- Niemann-Pick C1 disease
Results in Mice
- Delivery achieved using AAV9 viral vector, a common gene-therapy carrier.
- Converted natural mouse tRNA into suppressor tRNA inside living animals.
Observations
- Restoration of missing proteins.
- Enzyme activity increased significantly.
- In Hurler syndrome mouse model:
- Protein activity restored to 1.7% of normal levels.
- Improvement seen in brain, heart, and liver.
- Improved cellular pathology.
- No signs of toxicity observed.
Scientific Significance
- Demonstrates engineered tRNA can restore protein function across multiple diseases.
- Moves gene therapy toward mutation-class treatment instead of disease-specific therapy.
- Could benefit many rare genetic disorders simultaneously.
Expert Views
- Strong laboratory evidence shows engineered tRNA restores protein function.
- Considered an important advance in genome engineering.
- However, challenges remain:
- Efficient delivery methods
- Long-term safety
- Performance across different tissues
Clinical Outlook
- Early clinical success of base editing (targeting TAG stop codons) shows feasibility.
- Viral delivery systems can reach editing sites effectively.
- PERT shows promise but requires further clinical validation before human treatment.
Why This Matters
- Reduces need for designing individual gene therapies.
- Could dramatically lower treatment cost and development time.
- Advances precision medicine and rare disease treatment.
- Represents next-generation genome editing beyond conventional CRISPR approaches.
Conclusion
The study demonstrates that prime-editing–based engineered tRNA technology (PERT) can bypass premature stop signals caused by nonsense mutations and restore normal protein production. Instead of creating separate treatments for each genetic disease, a single genome-editing platform may treat multiple disorders, marking a major step toward scalable and cost-effective gene therapy, though clinical delivery and long-term safety remain key challenges.
CARE MCQ
Q. Nonsense mutations primarily result in:
A. Increased protein production
B. Premature termination of protein synthesis
C. Duplication of chromosomes
D. Activation of silent genes
Answer: B
Explanation:
Nonsense mutations introduce premature stop codons, halting protein formation early.