GATE Ecology and Evolution Syllabus 2027: Complete EY Syllabus and Topics
GATE Ecology and Evolution Syllabus 2027
The official GATE 2027 Ecology and Evolution (EY) syllabus covers five major sections: Ecology, Evolution, Mathematics and Quantitative Ecology, Behavioural Ecology, and Applied Ecology & Evolution.
GATE EY Syllabus 2027: Overview
Ecology and Evolution is a multidisciplinary GATE paper that combines ecological principles, evolutionary biology, population genetics, quantitative methods, animal behaviour, biodiversity conservation and global environmental change.
The syllabus covers topics ranging from ecosystem structure and population dynamics to natural selection, molecular evolution, phylogenetics, behavioural ecology, conservation genetics, disease ecology and climate change.
| Part | Details |
|---|---|
| Exam | Graduate Aptitude Test in Engineering (GATE) |
| Year | GATE 2027 |
| Paper Code | EY |
| Paper | Ecology and Evolution |
| Organizing Institute | Indian Institute of Technology Madras |
| Total Syllabus Sections | 5 |
| General Aptitude | 15 marks |
| EY Subject | 85 marks |
| Duration | 180 minutes |
GATE 2027 EY Syllabus at a Glance
| Section | Subject | Major Areas |
|---|---|---|
| 1 | Ecology | Ecosystem concepts, population ecology, species interactions, community ecology, biodiversity, ecosystem function and biogeography |
| 2 | Evolution | Darwinism, natural selection, life history, population genetics, molecular evolution, phylogenetics, speciation and macroevolution |
| 3 | Mathematics and Quantitative Ecology | Functions, derivatives, probability, distributions, descriptive statistics, hypothesis testing, correlation, regression and ANOVA |
| 4 | Behavioural Ecology | Ethology, sensory ecology, communication, movement, foraging, reproduction, sexual selection, social behaviour and altruism |
| 5 | Applied Ecology & Evolution | Biodiversity, conservation, ecosystem services, conservation genetics, disease ecology, antibiotic resistance and global change |
Section 1: Ecology
Fundamental Concepts
- Abiotic and biotic components of ecosystems.
- Levels of biological organization.
- Individuals, populations, species, communities, ecosystems and biomes.
- Ecological niches.
- Habitats.
- Functional traits.
- Ecophysiology.
- Physiological adaptations.
- Homeostasis and acclimation.
Population Ecology
- Population dynamics.
- Population growth.
- Density-dependent population growth.
- Density-independent population growth.
- Metapopulation ecology.
- Age-structured populations.
Species Interactions
- Mutualism.
- Symbiosis.
- Commensalism.
- Competition.
- Parasitism.
- Predation.
- Two-species population models.
- Lotka-Volterra equations.
- Trophic levels.
- Direct and indirect species interactions.
Community Ecology
- Community assembly.
- Community structure.
- Ecological succession.
- Dispersal.
- Habitat and environmental filtering.
- Alpha, beta and gamma diversity.
- Species richness.
- Species evenness.
- Diversity indices.
- Relative abundance.
- Species-area relationships.
- Latitudinal and altitudinal diversity gradients.
- Theory of island biogeography.
Ecosystem Structure and Function
- Primary productivity.
- Secondary productivity.
- Food webs.
- Energy flow.
- Biogeochemical cycles.
- Carbon cycle.
- Nitrogen cycle.
- Ecosystem stability.
- Ecosystem resilience.
- Global biomes.
- Biogeographic zones.
- Flora and fauna of India.
- Biogeography of India.
Section 2: Evolution
Fundamentals of Evolution
- Lamarckism.
- Darwinism.
- Modern Synthesis.
- Variation.
- Heritability.
- Natural selection.
- Fitness.
- Adaptation.
- Stabilizing selection.
- Directional selection.
- Disruptive selection.
Diversity of Life
- Origin and history of life on Earth.
- Paleobiological evidence.
- Diversity and classification of life.
- Classical taxonomy.
- Systematics.
- Cladistics.
Life History Theory
- Allocation of resources.
- Life-history trade-offs.
- r/K selection.
- Semelparity.
- Iteroparity.
Evolutionary Interactions
- Coevolution.
- Mutualism.
- Evolutionary arms races.
- Cospeciation.
- Prey-predator interactions.
- Mimicry.
- Crypsis.
- Host-parasite interactions.
Population and Quantitative Genetics
- Origins of genetic variation.
- Mendelian genetics.
- Hardy-Weinberg equilibrium.
- Genetic drift.
- Selection using the one-locus two-alleles model.
- Population genetic structure.
- Panmixia.
- Gene flow.
- FST.
- Polygenic traits.
- Gene-environment interactions.
- Phenotypic plasticity.
- Heritability.
- Epistasis.
- Epigenetic inheritance.
Molecular Evolution and Phylogenetics
- Mutation rates.
- Molecular clocks.
- Neutral processes.
- Rates of evolution.
- Chromosomal evolution.
- Genome evolution.
- Hybridization.
- Ploidy.
- Introgression.
- Phylogenetic methods.
- Parsimony.
- Maximum likelihood.
- Bayesian methods.
- Phylogeography.
Macroevolution
- Species concepts.
- Speciation.
- Extinction.
- Adaptive radiation.
- Convergence.
- Biogeographic processes.
- Continental drift.
Section 3: Mathematics and Quantitative Ecology
Mathematics and Statistics in Ecology
- Simple functions.
- Linear functions.
- Quadratic functions.
- Exponential functions.
- Logarithmic functions.
- Derivatives.
- Slope of a function.
- Permutations and combinations.
- Basic probability.
- Probability of random events.
- Sequences of events.
- Conditional probability.
- Binomial distribution.
- Normal distribution.
- Poisson distribution.
- Descriptive statistics.
- Mean and variance.
- Coefficient of variation.
- Confidence intervals.
Study Design and Statistical Methods
- Statistical hypothesis testing.
- Concept of p-value.
- Type I error.
- Type II error.
- t-test.
- Chi-square test.
- Correlation.
- Linear regression.
- Analysis of variance (ANOVA).
Section 4: Behavioural Ecology
Classical Ethology and Sensory Ecology
- Proximate explanations of behaviour.
- Ultimate explanations of behaviour.
- Innate behaviour.
- Learnt behaviour.
- Neuroethology.
- Behavioural endocrinology.
- Modes of communication.
- Chemical communication.
- Visual communication.
- Movement and navigation.
Foraging and Reproduction
- Optimal foraging theory.
- Space use.
- Territoriality.
- Mating systems.
- Sexual selection.
- Sexual conflict.
- Runaway selection.
- Good-genes hypothesis.
- Handicap principle.
- Parental care.
Social Behaviour
- Costs and benefits of group living.
- Intraspecific competition.
- Scramble competition.
- Contest competition.
- Kin selection.
- Altruism.
Section 5: Applied Ecology & Evolution
Biodiversity and Conservation
- Biodiversity-ecosystem function relationships.
- Ecosystem services.
- Endemism.
- Biodiversity hotspots.
- Protected areas.
- Global conservation initiatives.
- Conference of the Parties (COP).
- International Union for Conservation of Nature (IUCN).
- Convention on Biological Diversity (CBD).
- Convention on International Trade in Endangered Species (CITES).
- Conservation genetics.
- Genetic diversity.
- Inbreeding depression.
- DNA fingerprinting.
- DNA barcoding.
Disease Ecology and Evolution
- Epidemiology.
- Zoonotic diseases.
- Antibiotic resistance.
Global Change
- Causes of climate change.
- Consequences of climate change.
- Climate change adaptation.
- Climate change mitigation.
- Threats to biodiversity.
- Pollution.
- Habitat loss and habitat change.
- Invasive species.
Important Topics for GATE EY 2027
| Area | Important Focus |
|---|---|
| Ecology | Population dynamics, species interactions, community ecology, biodiversity, food webs, energy flow and biogeochemical cycles |
| Population Ecology | Density dependence, metapopulations, age structure and population growth |
| Community Ecology | Community assembly, succession, diversity indices, species-area relationships and island biogeography |
| Evolution | Natural selection, adaptation, fitness, life-history strategies and evolutionary interactions |
| Population Genetics | Mendelian genetics, Hardy-Weinberg equilibrium, drift, selection, gene flow, FST, plasticity and epistasis |
| Molecular Evolution | Mutation rates, molecular clocks, neutral processes, genome evolution, phylogenetics and phylogeography |
| Quantitative Ecology | Probability, distributions, descriptive statistics, hypothesis testing, correlation, regression and ANOVA |
| Behavioural Ecology | Foraging, mating systems, sexual selection, territoriality, parental care, kin selection and altruism |
| Conservation | Biodiversity hotspots, protected areas, ecosystem services and conservation genetics |
| Global Change | Climate change, biodiversity threats, pollution, habitat loss, habitat change and invasive species |
GATE Ecology and Evolution 2027 Preparation Strategy
1. Build Strong Ecology Fundamentals
Start with population, community and ecosystem ecology. Understand the relationships among organisms, their environment, energy flow and biodiversity.
2. Master Evolutionary Concepts
Focus on natural selection, fitness, adaptation, population genetics, molecular evolution, speciation and macroevolution.
3. Practise Quantitative Methods
Revise probability, distributions, descriptive statistics and hypothesis testing, then practise correlation, regression and ANOVA problems.
4. Understand Behavioural Ecology
Study proximate and ultimate explanations, communication, foraging, mating systems, sexual selection, parental care and social behaviour.
5. Focus on Conservation
Revise biodiversity, ecosystem services, protected areas, conservation genetics and major international conservation initiatives.
6. Revise Global Change
Pay attention to climate change, biodiversity loss, pollution, habitat change, invasive species, disease ecology and antibiotic resistance.
GATE EY 2027 Exam Pattern
The GATE 2027 Ecology and Evolution paper carries 100 marks in total. General Aptitude contributes 15 marks and the EY subject section contributes 85 marks.
The examination is a three-hour Computer Based Test with Multiple Choice Questions (MCQ), Multiple Select Questions (MSQ) and Numerical Answer Type (NAT) questions.
Download GATE 2027 Ecology and Evolution Syllabus PDF
The complete official EY syllabus is available in the GATE 2027 syllabus document issued by IIT Madras.
View Official EY Syllabus PDFSource: IIT Madras