JOURNAL ARTICLE

Oviposition behaviour in Drosophila melanogaster: Genetic and behavioural decoupling between oviposition acceptance and preference for natural fruits.

  • Published In: Journal of Evolutionary Biology, 2023, v. 36, n. 1. P. 251 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fanara, Juan J.; Beti, Maria I. L.; Gandini, Luciano; Hasson, Esteban 3 of 3

Abstract

This article focuses on the genetic and behavioral components of oviposition behavior in the fruit fly *Drosophila melanogaster*, specifically examining oviposition acceptance (OA) and oviposition preference (OP) using grape, tomato, and orange as natural substrates. Through no-choice (OA) and two-choice (OP) assays with fully sequenced Drosophila Genetic Reference Panel lines, the study found that OA and OP are behaviorally and genetically decoupled traits, with distinct sets of candidate genes underlying each. The results indicate that egg-laying behavior is plastic and context-dependent, with genetic variation influencing how flies accept and prefer oviposition sites differently across resources. These findings have implications for understanding adaptive strategies in habitat selection, host shifts, and the maintenance of genetic variability in phytophagous insects.

Additional Information

  • Source:Journal of Evolutionary Biology. 2023/01, Vol. 36, Issue 1, p251
  • Document Type:Article
  • Subject Area:Biology
  • Publication Date:2023
  • ISSN:1010-061X
  • DOI:10.1111/jeb.14109
  • Accession Number:161213600
  • Copyright Statement:Copyright of Journal of Evolutionary Biology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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