Quantitative trait locus analysis in haplodiploid hymenoptera.

Juergen Gadau, Christof Pietsch, Leo W. Beukeboom

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This article describes QTL analyses for solitary (Nasonia, a parasitoid wasp) and social hymenopteran species (honeybee and bumblebee). These exemplar QTL analyses determined the genetic basis of morphological, behavioral, and colony level traits. Mapping populations were derived either from lab crosses between highly inbred strains (Nasonia spp.), lab crosses of individuals caught in the field (bumblebees), or offspring from artificially inseminated queens from a managed honeybee population. Using these examples, we demonstrate the importance of a clear understanding of the life history, breeding, and reproductive system of the organism used for a QTL analysis, e.g., haplo-diploidy or reproductive division of labor in social insects. We lead the reader step by step through the process of multiple QTL analyses and describe potential problems and roadblocks (e.g., data handling, statistical, and biological problems) that can obscure or severely impair the results of a QTL study and how to detect and deal with those problems.In particular, we provide a way to empirically estimate the Beavis effect for a larger QTL mapping population and how to estimate a more accurate value of the explained phenotypic variance of each detected QTL using a resampling procedure.

Original languageEnglish (US)
Pages (from-to)313-328
Number of pages16
JournalMethods in molecular biology (Clifton, N.J.)
Volume871
DOIs
StatePublished - 2012

Fingerprint

Hymenoptera
Quantitative Trait Loci
Population
Wasps
Reproductive History
Diploidy
Breeding
Insects

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Quantitative trait locus analysis in haplodiploid hymenoptera. / Gadau, Juergen; Pietsch, Christof; Beukeboom, Leo W.

In: Methods in molecular biology (Clifton, N.J.), Vol. 871, 2012, p. 313-328.

Research output: Contribution to journalArticle

@article{76fb1a4644524dbea778da50504644d0,
title = "Quantitative trait locus analysis in haplodiploid hymenoptera.",
abstract = "This article describes QTL analyses for solitary (Nasonia, a parasitoid wasp) and social hymenopteran species (honeybee and bumblebee). These exemplar QTL analyses determined the genetic basis of morphological, behavioral, and colony level traits. Mapping populations were derived either from lab crosses between highly inbred strains (Nasonia spp.), lab crosses of individuals caught in the field (bumblebees), or offspring from artificially inseminated queens from a managed honeybee population. Using these examples, we demonstrate the importance of a clear understanding of the life history, breeding, and reproductive system of the organism used for a QTL analysis, e.g., haplo-diploidy or reproductive division of labor in social insects. We lead the reader step by step through the process of multiple QTL analyses and describe potential problems and roadblocks (e.g., data handling, statistical, and biological problems) that can obscure or severely impair the results of a QTL study and how to detect and deal with those problems.In particular, we provide a way to empirically estimate the Beavis effect for a larger QTL mapping population and how to estimate a more accurate value of the explained phenotypic variance of each detected QTL using a resampling procedure.",
author = "Juergen Gadau and Christof Pietsch and Beukeboom, {Leo W.}",
year = "2012",
doi = "10.1007/978-1-61779-785-9_16",
language = "English (US)",
volume = "871",
pages = "313--328",
journal = "Methods in molecular biology (Clifton, N.J.)",
issn = "1064-3745",
publisher = "Humana Press",

}

TY - JOUR

T1 - Quantitative trait locus analysis in haplodiploid hymenoptera.

AU - Gadau, Juergen

AU - Pietsch, Christof

AU - Beukeboom, Leo W.

PY - 2012

Y1 - 2012

N2 - This article describes QTL analyses for solitary (Nasonia, a parasitoid wasp) and social hymenopteran species (honeybee and bumblebee). These exemplar QTL analyses determined the genetic basis of morphological, behavioral, and colony level traits. Mapping populations were derived either from lab crosses between highly inbred strains (Nasonia spp.), lab crosses of individuals caught in the field (bumblebees), or offspring from artificially inseminated queens from a managed honeybee population. Using these examples, we demonstrate the importance of a clear understanding of the life history, breeding, and reproductive system of the organism used for a QTL analysis, e.g., haplo-diploidy or reproductive division of labor in social insects. We lead the reader step by step through the process of multiple QTL analyses and describe potential problems and roadblocks (e.g., data handling, statistical, and biological problems) that can obscure or severely impair the results of a QTL study and how to detect and deal with those problems.In particular, we provide a way to empirically estimate the Beavis effect for a larger QTL mapping population and how to estimate a more accurate value of the explained phenotypic variance of each detected QTL using a resampling procedure.

AB - This article describes QTL analyses for solitary (Nasonia, a parasitoid wasp) and social hymenopteran species (honeybee and bumblebee). These exemplar QTL analyses determined the genetic basis of morphological, behavioral, and colony level traits. Mapping populations were derived either from lab crosses between highly inbred strains (Nasonia spp.), lab crosses of individuals caught in the field (bumblebees), or offspring from artificially inseminated queens from a managed honeybee population. Using these examples, we demonstrate the importance of a clear understanding of the life history, breeding, and reproductive system of the organism used for a QTL analysis, e.g., haplo-diploidy or reproductive division of labor in social insects. We lead the reader step by step through the process of multiple QTL analyses and describe potential problems and roadblocks (e.g., data handling, statistical, and biological problems) that can obscure or severely impair the results of a QTL study and how to detect and deal with those problems.In particular, we provide a way to empirically estimate the Beavis effect for a larger QTL mapping population and how to estimate a more accurate value of the explained phenotypic variance of each detected QTL using a resampling procedure.

UR - http://www.scopus.com/inward/record.url?scp=84865579666&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84865579666&partnerID=8YFLogxK

U2 - 10.1007/978-1-61779-785-9_16

DO - 10.1007/978-1-61779-785-9_16

M3 - Article

VL - 871

SP - 313

EP - 328

JO - Methods in molecular biology (Clifton, N.J.)

JF - Methods in molecular biology (Clifton, N.J.)

SN - 1064-3745

ER -