Genomics of sex allocation in the parasitoid wasp Nasonia vitripennisPannebakker, B. A., Cook, N., van den Heuvel, J., van de Zande, L. & Shuker, D. M., 20-Jul-2020, In : BMC Genomics. 21, 1, 14 p., 499.
Research output: Contribution to journal › Article › Academic › peer-review
BackgroundWhilst adaptive facultative sex allocation has been widely studied at the phenotypic level across a broad range of organisms, we still know remarkably little about its genetic architecture. Here, we explore the genome-wide basis of sex ratio variation in the parasitoid wasp Nasonia vitripennis, perhaps the best studied organism in terms of sex allocation, and well known for its response to local mate competition.ResultsWe performed a genome-wide association study (GWAS) for single foundress sex ratios using iso-female lines derived from the recently developed outbred N. vitripennis laboratory strain HVRx. The iso-female lines capture a sample of the genetic variation in HVRx and we present them as the first iteration of the Nasonia vitripennis Genome Reference Panel (NVGRP 1.0). This panel provides an assessment of the standing genetic variation for sex ratio in the study population. Using the NVGRP, we discovered a cluster of 18 linked SNPs, encompassing 9 annotated loci associated with sex ratio variation. Furthermore, we found evidence that sex ratio has a shared genetic basis with clutch size on three different chromosomes.ConclusionsOur approach provides a thorough description of the quantitative genetic basis of sex ratio variation in Nasonia at the genome level and reveals a number of inter-related candidate loci underlying sex allocation regulation.
|Number of pages||14|
|Publication status||Published - 20-Jul-2020|
- Local mate competition, Nasonia, Oviposition, Parasitoid wasp, Sex allocation, Genetic reference panel, Single nucleotide polymorphism (SNP), Genome-wide association study (GWAS), LOCAL MATE COMPETITION, GENETIC-VARIATION, RATIO VARIATION, LINKAGE DISEQUILIBRIUM, NATURAL-POPULATIONS, ADAPTIVE EVOLUTION, ADJUSTMENT, SELECTION, TRAITS, CONSTRAINTS