Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Mol Ecol. 2020 Jun;29(11):1957-1971. doi: 10.1111/mec.15461. Epub 2020 May 26.
Individual differences in animal behaviour influence ecological and evolutionary processes. Much behavioural variation has a heritable component, suggesting that genetics may play a role in its development. Yet, the study of the mechanistic description linking genes to behaviour in nature remains in its infancy, and such research is considered a challenge in contemporary biology. Here, we performed a literature review and meta-analysis to assess trends in analytical approaches used to investigate the relationship between genes and behaviour in natural systems, specifically candidate gene approaches, quantitative trait locus (QTL) mapping, and genome-wide association studies (GWAS). We aimed to determine the efficacy and success of each approach, while also describing which behaviours and species were examined by researchers most often. We found that the majority of QTL mapping and GWAS results revealed a significant or suggestive effect (Zr = 0.3 [95% CI: 0.25:0.35] and Zr = 0.39 [0.33:0.46], respectively) between the trait of interest and genetic marker(s) tested, while over half of candidate gene accounts (Zr = 0.16 [0.11:0.21]) did not find a significant association. Approximately a third of all study estimates investigated animal personality traits; though, reproductive and migratory behaviours were also well-represented. Our findings show that despite widespread accessibility of molecular approaches given current sequencing technologies, efforts to elucidate the genetic basis of behaviour in free-ranging systems has been limited to relatively few species. We discuss challenges encountered by researchers, and recommend integration of novel genomic methods with longitudinal studies to usher in the next wave of behavioural genomic research.
动物行为的个体差异会影响生态和进化过程。许多行为变化都具有遗传成分,这表明遗传可能在其发展中起作用。然而,将基因与自然界中行为联系起来的机制描述的研究仍处于起步阶段,这种研究被认为是当代生物学的一个挑战。在这里,我们进行了文献综述和荟萃分析,以评估用于研究自然系统中基因与行为之间关系的分析方法的趋势,特别是候选基因方法、数量性状位点 (QTL) 作图和全基因组关联研究 (GWAS)。我们旨在确定每种方法的效果和成功率,同时还描述了研究人员最常检查哪些行为和物种。我们发现,大多数 QTL 作图和 GWAS 结果显示出感兴趣的性状与测试的遗传标记之间存在显著或暗示性的影响(Zr = 0.3 [95%CI:0.25:0.35] 和 Zr = 0.39 [0.33:0.46]),而超过一半的候选基因(Zr = 0.16 [0.11:0.21])没有发现显著关联。大约三分之一的研究估计调查了动物的个性特征;尽管如此,繁殖和迁徙行为也得到了很好的代表。我们的研究结果表明,尽管目前的测序技术使分子方法广泛普及,但阐明自由生活系统中行为的遗传基础的努力仅限于相对较少的物种。我们讨论了研究人员遇到的挑战,并建议将新型基因组方法与纵向研究相结合,为下一浪潮的行为基因组学研究奠定基础。