Quantitative trait loci associated with reversal learning and latent inhibition in honeybees (Apis mellifera)

Sathees B.C. Chandra, Gregory J. Hunt, Susan Cobey, Brian H. Smith

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

A study was conducted to identify quantitative trait loci (QTLs) that affect learning in honeybees. Two F1 supersister queens were produced from a cross between two established lines that had been selected for differences in the speed at which they reverse a learned discrimination between odors. Different families of haploid drones from two of these F1 queens were evaluated for two kinds of learning performance-reversal learning and latent inhibition-which previously showed correlated selection responses. Random amplified polymorphic DNA markers were scored from recombinant, haploid drone progeny that showed extreme manifestations of learning performance. Composite interval mapping procedures identified two QTLs for reversal learning (lrn2 and lrn3: LOD, 2.45 and 2.75, respectively) and one major QTL for latent inhibition (lrn1: LOD, 6.15). The QTL for latent inhibition did not map to either of the linkage groups that were associated with reversal learning. Identification of specific genes responsible for these kinds of QTL associations will open up new windows for better understanding of genes involved in learning and memory.

Original languageEnglish (US)
Pages (from-to)275-285
Number of pages11
JournalBehavior Genetics
Volume31
Issue number3
DOIs
StatePublished - 2001
Externally publishedYes

Keywords

  • Apis mellifera
  • Honeybees
  • Latent inhibition
  • Quantitative trait loci
  • Random amplified polymorphic DNA (RAPD) markers
  • Reversal learning

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Genetics(clinical)

Fingerprint

Dive into the research topics of 'Quantitative trait loci associated with reversal learning and latent inhibition in honeybees (Apis mellifera)'. Together they form a unique fingerprint.

Cite this