← Back
In graph Frontier
BiologyGeneticsEstablished

Mendelian inheritance

Mendelian inheritance is a type of biological inheritance following the principles originally proposed by Gregor Mendel in 1865 and 1866, re-discovered in 1900 by Hugo de Vries and Carl Correns, and later popularized by William Bateson.

At a glance

Type
patterns
Disciplines 2
Role in the graph
Connector

Key signals

Cross-disciplinary reach
Disciplines
2
  • Biology
  • Genetics
Evidence & development

Dependencies

What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.

Foundations · builds on

Mendelian inheritancedepends onAlleleEstablished

Open Allele →

Mendelian inheritance depends on allele.

Mechanism: Mendelian inheritance depends on alleles: offspring inherit one allele of each gene from each parent, and their combination sets the trait.

Sources:

System context

Mendelian inheritanceis aHeredityEstablished

Open Heredity →

Mendelian inheritance is a kind of heredity.

Mechanism: Mendelian inheritance is the classic pattern of heredity: traits pass to offspring through dominant and recessive gene copies in predictable ratios.

Sources:

Structural role & consequence

Interpreted from the current atlas graph — what the connections mean, not just how many there are.

  • Currently dark in the atlas: 2 of 2 of its relations lack claim-level evidence.

    atlas representation · Describes the current Thinking OS representation, not the state of the world.

  • Builds on 1 foundation (requires / depends-on / derived-from / emerges-from).

    structural · Structural graph analysis — not a claim of importance, causation or history.

  • Exercises 2 annotated mental models — a concept that connects several thinking patterns.

    curated · Curated annotations, not a derived measure.

  • Structural neighbourhood: 2 → 6 → 17 concepts reachable within 3 hops.

    structural · Structural reach — being reachable is not the same as being understood.

0%

cross-field
2 within-field, 0 cross-field

0 of 2 relations carry evidence · concept has a verified source

Strengths & constraints

Constraints

  • Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation

Conditions

  • Its dependency reading rests on 1 foundation relation. structural
  • Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural

Dependency radial

What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.

AlleleMendelian inheritance◀ builds onenables ▶

Seen through each discipline

How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.

Biology

Through this lens it connects to Allele and Heredity.

Mendelian inheritance through the Biology lens

Genetics

Through this lens it connects to Allele and Heredity.

Mendelian inheritance through the Genetics lens

Key dates

  1. 1866PublicationMendel publishes his experiments on plant hybridization, founding genetics.

Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.

This idea also appears in…

The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”

Probability25 disciplines · 21 concepts
Variation & selection12 disciplines · 12 concepts

Concepts

  • MutationEvolutionary Biology

    shares a mental model · shares a mental model

  • RiskEconomicsStatisticsMedicine

    shares a mental model

  • HypothesisPhilosophy of ScienceStatisticsLogic

    shares a mental model

  • CorrelationStatisticsData ScienceProbability

    shares a mental model

  • Gradient descentComputer ScienceMachine LearningOptimization

    shares a mental model

  • Machine learningMachine LearningArtificial IntelligenceComputer Science

    shares a mental model

Mental models at work here

The scientific picture
  • Connects 2 other ideas across 2 disciplines.
  • Most of its connections are of the “Kind & structure” kind.
  • It exercises 2 reusable thinking patterns.

Derived from the graph’s real structure — observations, not a score.

Sources