Molecular tools and bumble bees: revealing hidden details of ecology and evolution in a model system

Bumble bees are a longstanding model system for studies on behaviour, ecology and evolution, due to their well‐studied social lifestyle, invaluable role as wild and managed pollinators, and ubiquity and diversity across temperate ecosystems. Yet despite their importance, many aspects of bumble bee biology have remained enigmatic until the rise of the genetic and, more recently, genomic eras. Here, we review and synthesize new insights into the ecology, evolution and behaviour of bumble bees that have been gained using modern genetic and genomic techniques. Special emphasis is placed on four areas of bumble bee biology: the evolution of eusociality in this group, population‐level processes, large‐scale evolutionary relationships and patterns, and immunity and resistance to pesticides. We close with a prospective on the future of bumble bee genomics research, as this rapidly advancing field has the potential to further revolutionize our understanding of bumble bees, particularly in regard to adaptation and resilience. Worldwide, many bumble bee populations are in decline. As such, throughout the review, connections are drawn between new molecular insights into bumble bees and our understanding of the causal factors involved in their decline. Ongoing and potential applications to bumble bee management and conservation are also included to demonstrate how genetics‐ and genomics‐enabled research aids in the preservation of this threatened group.     

Advances in ecological genomics in forest trees and applications to genetic resources conservation and breeding

Forest trees are an unparalleled group of organisms in their combined ecological, economic and societal importance. With widespread distributions, predominantly random mating systems and large population sizes, most tree species harbour extensive genetic variation both within and among populations. At the same time, demographic processes associated with Pleistocene climate oscillations and land‐use change have affected contemporary range‐wide diversity and may impinge on the potential for future adaptation. Understanding how these adaptive and neutral processes have shaped the genomes of trees species is therefore central to their management and conservation. As for many other taxa, the advent of high‐throughput sequencing methods is expected to yield an understanding of the interplay between the genome and environment at a level of detail and depth not possible only a few years ago. An international conference entitled ‘Genomics and Forest Tree Genetics’ was held in May 2016, in Arcachon (France), and brought together forest geneticists with a wide range of research interests to disseminate recent efforts that leverage contemporary genomic tools to probe the population, quantitative and evolutionary genomics of trees. An important goal of the conference was to discuss how such data can be applied to both genome‐enabled breeding and the conservation of forest genetic resources under land use and climate change. Here, we report discoveries presented at the meeting and discuss how the ecological genomic toolkit can be used to address both basic and applied questions in tree biology.     

Elephant behaviour and conservation: social relationships, the effects of poaching, and genetic tools for management

Genetic tools are increasingly valuable for understanding the behaviour, evolution, and conservation of social species. In African elephants, for instance, genetic data provide basic information on the population genetic causes and consequences of social behaviour, and how human activities alter elephants' social and genetic structures. As such, African elephants provide a useful case study to understand the relationships between social behaviour and population genetic structure in a conservation framework. Here, we review three areas where genetic methods have made important contributions to elephant behavioural ecology and conservation: (1) understanding kin-based relationships in females and the effects of poaching on the adaptive value of elephant relationships, (2) understanding patterns of paternity in elephants and how poaching can alter these patterns, and (3) conservation genetic tools to census elusive populations, track ivory, and understand the behavioural ecology of crop-raiding. By comparing studies from populations that have experienced a range of poaching intensities, we find that human activities have a large effect on elephant behaviour and genetic structure. Poaching disrupts kin-based association patterns, decreases the quality of elephant social relationships, and increases male reproductive skew, with important consequences for population health and the maintenance of genetic diversity. In addition, we find that genetic tools to census populations or gather forensic information are almost always more accurate than non-genetic alternatives. These results contribute to a growing understanding of poaching on animal behaviour, and how genetic tools can be used to understand and conserve social species.     

Advancing our understanding of the connectivity,evolution and management of marine lobsters through genetics

The genomic revolution has provided powerful insights into the biology and ecology of many non-model organisms. Genetic tools have been increasingly applied to marine lobster research in recent years and have improved our understanding of species delimitation and population connectivity. High resolution genomic markers are just beginning to be applied to lobsters and are now starting to revolutionise our understanding of fine spatial and temporal scales of population connectivity and adaptation to environmental conditions. Lobsters play an important role in the ecosystem and many species are commercially exploited but many aspects of their biology is still largely unknown. Genetics is a powerful tool that can further contribute to our understanding of their ecology and evolution and assist management. Here we illustrate how recent genetic advancements are (1) leading to a step change in our understanding of evolution and adaptation, (2) elucidating factors driving connectivity and recruitment, (3) revealing insights into ecological processes and can (4) potentially revolutionise management of this commercially important group. We discuss how improvements in sequencing technologies and statistical methods for genetic data analyses combined with increased sampling efforts and careful sampling design have transformed our understanding of lobsters biology in recent years. We also highlight possible future directions in the application of genomic tools to lobster research that can aid management, in particular, the close-kin-mark-recapture method. Finally, we identify gaps and challenges in lobster research, such as the lack of any reference genomes and predictions on how lobsters will respond to future environmental conditions.

     

Genetic diversity of small populations: Not always “doom and gloom”?

Is a key theory of evolutionary and conservation biology—that loss of genetic diversity can be predicted from population size—on shaky ground? In the face of increasing human‐induced species depletion and habitat fragmentation, this question and the study of genetic diversity in small populations are paramount to understanding the limits of species’ responses to environmental change and to providing remedies to endangered species conservation. Few empirical studies have investigated to what degree some small populations might be buffered against losses of genetic diversity. Even fewer studies have experimentally tested the potential underlying mechanisms. The study of Schou, Loeschcke, Bechsgaard, Schlotterer, and Kristensen ( 2017 ) in this issue of Molecular Ecology is elegant in combining classic common garden experimentation with population genomics on an iconic experimental model species (Drosophila melanogaster). The authors reveal a slower rate of loss of genetic diversity in small populations under varying thermal regimes than theoretically expected and hence an unexpected retention of genetic diversity. They are further able to hone in on a plausible mechanism: associative overdominance, wherein homozygosity of deleterious recessive alleles is especially disfavoured in genomic regions of low recombination. These results contribute to a budding literature on the varying mechanisms underlying genetic diversity in small populations and encourage further such research towards the effective management and conservation of fragmented or endangered populations.     

Integrative population genetics and metagenomics reveals urbanization increases pathogen loads and decreases connectivity in a wild bee

As urbanization continues to increase, it is expected that two-thirds of the human population will reside in cities by 2050. Urbanization fragments and degrades natural landscapes, threatening wildlife including economically important species such as bees. In this study, we employ whole genome sequencing to characterize the population genetics, metagenome and microbiome, and environmental stressors of a common wild bee, Ceratina calcarata. Population genomic analyses revealed the presence of low genetic diversity and elevated levels of inbreeding. Through analyses of isolation by distance, resistance, and environment across urban landscapes, we found that green spaces including shrubs and scrub were the most optimal pathways for bee dispersal, and conservation efforts should focus on preserving these land traits to maintain high connectivity across sites for wild bees. Metagenomic analyses revealed landscape sites exhibiting urban heat island effects, such as high temperatures and development but low precipitation and green space, had the highest taxa alpha diversity across all domains even when isolating for potential pathogens. Notably, the integration of population and metagenomic data showed that reduced connectivity in urban areas is not only correlated with lower relatedness among individuals but is also associated with increased pathogen diversity, exposing vulnerable urban bees to more pathogens. Overall, our combined population and metagenomic approach found significant environmental variation in bee microbiomes and nutritional resources even in the absence of genetic differentiation, as well as enabled the potential early detection of stressors to bee health.     

Contribution of genetics and genomics to seagrass biology and conservation

Genetic diversity is one of three forms of biodiversity recognized by the IUCN as deserving conservation along with species and ecosystems. Seagrasses provide all three levels in one. This review addresses the latest advances in our understanding of seagrass population genetics and genomics within the wider context of ecology and conservation. Case studies are used from the most widely studied, northern hemisphere species Zostera marina, Z. noltii, Posidonia oceanica and Cymodocea nodosa.

We begin with an analysis of the factors that have shaped population structure across a range of spatial and temporal scales including basin-level phylogeography, landscape-scale connectivity studies, and finally, local-scale analyses at the meadow level—including the effects of diversity, clonality and mating system. Genetic diversity and clonal architecture of seagrass meadows differ within and among species at virtually all scales studied. Recent experimental studies that have manipulated seagrass genetic biodiversity indicate that genotypic diversity matters in an immediate ecological context, and enhances population growth, resistance and resilience to perturbation, with positive effects on abundance and diversity of the larger community. In terms of the longer term, evolutionary consequences of genetic/genotypic diversity in seagrass beds, our knowledge remains meagre. It is here that the new tools of ecogenomics will assist in unravelling the genetic basis for adaptation to both biotic and abiotic change. Gene expression studies will further assist in the assessment of physiological performance which may provide an early warning system under complex disturbance regimes that seagrasses are at or near their tolerance thresholds.

At the most fundamental level, ecological interactions of seagrasses with their environment depends on the genetic architecture and response diversity underlying critical traits. Hence, given the rapid progress in data acquisition and analysis, we predict an increasing role of genetic and genomic tools for seagrass ecology and conservation.     

偶蹄类动物的遗传多样性研究与技术比较

研究和保护遗传多样性成为野生偶蹄类动物保护生物学的重要课题。目前测定遗传多样性的技术主要有 :数量性状的遗传分析 ,蛋白电泳多样性和以DNA为遗传标记等一系列测定方法。这些方法基于不同的原理 ,其操作的难易、耗费的时间精力以及数据所能说明的问题有一定差别。因此研究偶蹄类动物遗传多样性应选择适宜的技术方法。     

Population genomics for wildlife conservation and management

Biodiversity is under threat worldwide. Over the past decade, the field of population genomics has developed across nonmodel organisms, and the results of this research have begun to be applied in conservation and management of wildlife species. Genomics tools can provide precise estimates of basic features of wildlife populations, such as effective population size, inbreeding, demographic history and population structure, that are critical for conservation efforts. Moreover, population genomics studies can identify particular genetic loci and variants responsible for inbreeding depression or adaptation to changing environments, allowing for conservation efforts to estimate the capacity of populations to evolve and adapt in response to environmental change and to manage for adaptive variation. While connections from basic research to applied wildlife conservation have been slow to develop, these connections are increasingly strengthening. Here we review the primary areas in which population genomics approaches can be applied to wildlife conservation and management, highlight examples of how they have been used, and provide recommendations for building on the progress that has been made in this field.     

基因组学技术在生物多样性保护研究中的应用

在分子生物学、细胞生物学、微生物学、遗传学等学科的推动下, 生物多样性研究从仅关注宏观表型的博物学, 迅速演化为涵盖生态系统、物种和遗传多样性等多个维度的综合性生命科学。组学技术, 尤其是DNA测序技术的更新和发展, 使获取DNA序列所需的成本大幅下降, 促进了近年来其在生物多样性研究中取得的一系列令人瞩目成就。本文将从物种水平的遗传多样性和群落水平的物种多样性两个层面总结和介绍与DNA相关的组学技术在生物多样性研究中的一些创新和应用。其中, 物种水平主要是总结单一个体的基因组和单物种多个体在时空多个维度上的群体遗传研究; 而群落水平的物种多样性层面主要总结现有的分子鉴定技术(metabarcoding, eDNA, iDNA等), 以及上述新技术在群落多样性评估、旗舰保护物种监测以及物种间相互作用关系等研究中的应用。     

遗传多样性概述

遗传多样性作为生物多样性的重要组成部分,是物种多样性、生态系统多样性和景观多样性的基础。随着研究方法和实验技术的发展,遗传多样性研究从形态学水平、细胞学（染色体）水平、生理生化水平逐渐发展到分子水平。形态标记、细胞学标记、等位酶分析、DNA多态性分析等方法,为我们研究遗传多样性提供了有效的工具。特别是DNA多态性分析是一种更为直接而有效的方法。     

Nest Suitability,Fine-Scale Population Structure and Male-Mediated Dispersal of a Solitary Ground Nesting Bee in an Urban Landscape

Bees are the primary pollinators of flowering plants in almost all ecosystems. Worldwide declines in bee populations have raised awareness about the importance of their ecological role in maintaining ecosystem functioning. The naturally strong philopatric behavior that some bee species show can be detrimental to population viability through increased probability of inbreeding. Furthermore, bee populations found in human-altered landscapes, such as urban areas, can experience lower levels of gene flow and effective population sizes, increasing potential for inbreeding depression in wild bee populations. In this study, we investigated the fine-scale population structure of the solitary bee Colletes inaequalis in an urbanized landscape. First, we developed a predictive spatial model to detect suitable nesting habitat for this ground nesting bee and to inform our field search for nests. We genotyped 18 microsatellites in 548 female individuals collected from nest aggregations throughout the study area. Genetic relatedness estimates revealed that genetic similarity among individuals was slightly greater within nest aggregations than among randomly chosen individuals. However, genetic structure among nest aggregations was low (Nei’s G_ST = 0.011). Reconstruction of parental genotypes revealed greater genetic relatedness among females than among males within nest aggregations, suggesting male-mediated dispersal as a potentially important mechanism of population connectivity and inbreeding avoidance. Size of nesting patch was positively correlated with effective population size, but not with other estimators of genetic diversity. We detected a positive trend between geographic distance and genetic differentiation between nest aggregations. Our landscape genetic models suggest that increased urbanization is likely associated with higher levels of inbreeding. Overall, these findings emphasize the importance of density and distribution of suitable nesting patches for enhancing bee population abundance and connectivity in human dominated habitats and highlights the critical contribution of landscape genetic studies for enhanced conservation and management of native pollinators.     

Level of genetic differentiation affects relative performances of expressed sequence tag and genomic SSRs

Microsatellites, also called simple sequence repeats (SSRs), are markers of choice to estimate relevant parameters for conservation genetics, such as migration rates, effective population size and kinship. Cross‐amplification of SSRs is the simplest way to obtain sets of markers, and highly conserved SSRs have recently been developed from expressed sequence tags (EST) to improve SSR cross‐species utility. As EST‐SSRs are located in coding regions, the higher stability of their flanking regions reduces the frequency of null alleles and improves cross‐species amplification. However, EST‐SSRs have generally less allelic variability than genomic SSRs, potentially leading to differences in estimates of population genetic parameters such as genetic differentiation. To assess the potential of EST‐SSRs in studies of within‐species genetic diversity, we compared the relative performance of EST‐ and genomic SSRs following a multispecies approach on passerine birds. We tested whether patterns and levels of genetic diversity within and between populations assessed from EST‐ and from genomic SSRs are congruent, and we investigated how the relative efficiency of EST‐ and genomic SSRs is influenced by levels of differentiation. EST‐ and genomic SSRs ensured comparable inferences of population genetic structure in cases of strong genetic differentiation, and genomic SSRs performed slightly better than EST‐SSRs when differentiation is moderate. However and interestingly, EST‐SSRs had a higher power to detect weak genetic structure compared to genomic SSRs. Our study attests that EST‐SSRs may be valuable molecular markers for conservation genetic studies in taxa such as birds, where the development of genomic SSRs is impeded by their low frequency.     

Genomic Signatures of Recent Adaptation in a Wild Bumblebee

Environmental changes threaten insect pollinators, creating risks for agriculture and ecosystem stability. Despite their importance, we know little about how wild insects respond to environmental pressures. To understand the genomic bases of adaptation in an ecologically important pollinator, we analyzed genomes of Bombus terrestris bumblebees collected across Great Britain. We reveal extensive genetic diversity within this population, and strong signatures of recent adaptation throughout the genome affecting key processes including neurobiology and wing development. We also discover unusual features of the genome, including a region containing 53 genes that lacks genetic diversity in many bee species, and a horizontal gene transfer from a Wolbachia bacteria. Overall, the genetic diversity we observe and how it is distributed throughout the genome and the population should support the resilience of this important pollinator species to ongoing and future selective pressures. Applying our approach to more species should help understand how they can differ in their adaptive potential, and to develop conservation strategies for those most at risk.     

Evaluating the genome-wide impacts of species translocations: the greater prairie-chicken as a case study

A variety of conservation management strategies have been developed to address rapid, anthropogenically-driven biodiversity loss. The translocation of individuals from viable populations to those experiencing significant decline is one such strategy to increase genetic diversity and avoid extirpation, yet efficacy of this strategy has rarely been examined in detail utilizing genomic data. Here, we employ a conservation icon, the greater prairie-chicken (Tympanuchus cupido pinnatus), as a case study to demonstrate how genome-wide SNPs derived from RADseq offer the ability to assess translocation success with respect to the genomic aspects of genetic restoration, encompassing (1) the alleviation of inbreeding (2) the restoration of evolutionary potential, and (3) the maintenance of local variation. Genome-wide diversity estimates calculated from 356,778 SNPs demonstrate that translocations rescued the Illinois population from severe inbreeding and lack of genetic diversity, restoring variation to levels comparable to the three non-bottlenecked source populations. Delineation of genetic structure using non-linked and ubiquitously genotyped SNPs reveal distinct genetic variation among the source and recipient populations as well as high levels of admixture in the post-translocation population resulting from translocations. Estimated ancestry derived from private alleles uncover introgression of unique variation from each source population as well as the maintenance of substantial levels of variation unique to Illinois. Our findings demonstrate that genome-wide analysis of variation is a valuable management tool for measuring the genomic effects of translocations and, subsequently, gauging genetic restoration success.

     

Parentage assignment reveals multiple paternity in the critically-endangered Guatemalan beaded lizard (Heloderma charlesbogerti)

Within captive management programs for species of conservation concern, understanding the genetic mating system is of fundamental importance, given its role in generating and maintaining genetic diversity and promoting opportunities for sperm competition. If a goal of a conservation program is reintroduction, knowledge of the mating system may also inform prediction models aimed at understanding how genetic diversity may be spatially organized, thus informing decisions regarding where and which individuals should be released to maximize genetic diversity in the wild population. Within captive populations, such information may also influence how animals are maintained in order to promote natural behaviors. Here we investigate the genetic mating system of the Guatemalan beaded lizard, Heloderma charlesbogerti, a member of an entire clade lacking such information. A group of adult male and female H. charlesbogerti co-habited a large outdoor enclosure for five years during the species’ perceived breeding season. Through genomic parentage analysis, 50% of clutches comprising multiple offspring were found to result from multiple paternity, with up to three males siring offspring within single clutches. Both males and females were observed to produce offspring with multiple partners within a given year. As such, within this captive environment, where opportunities existed for mating with multiple partners, the genetic mating system was found to be highly polygamous, with multiple paternity common within clutches. These findings are novel for the family Helodermatidae, and the results have broader implications about how reproductive opportunities should be managed within captive conservation programs.

     

An essay on the necessity and feasibility of conservation genomics

The basic premise of conservation genetics is that small populations may be genetically threatened. The two steps leading to this premise are: (1) due to prominent influence of random genetic drift and inbreeding allelic and genotypic diversity in small populations is expected to be low, and (2) low allelic diversity and high homozygosity are expected to lead to immediate fitness decreases (inbreeding depression) and a compromised potential for evolutionary adaptation. Conservation genetic research has been strongly stimulated by the application of neutral molecular markers like microsatellites and AFLPs. In general these marker studies have provided evidence for step 1. It is less evident how these markers may provide evidence for step 2. In this essay we argue that, in order to get detailed insight in step 2, adopting a conservation genomic approach, in which conservation genetics will use approaches from ecological and evolutionary functional genomics (ecogenomics), is both necessary and feasible. Conservation genomics is necessary for studying functional genomic variation as function of drift and inbreeding, for studying the mechanisms that relate low genetic variation to low fitness, for integrating environmental and genetic approaches to conservation biology, and for developing modern, fast monitoring tools. The rapid technical and financial developments in genomics currently make conservation genomics feasible, and will improve feasibility in the very near future even further. We therefore argue that conservation genomics personifies part of the near future of conservation genetics.     

Management increases genetic diversity of honey bees via admixture

The process of domestication often brings about profound changes in levels of genetic variation in animals and plants. The honey bee, Apis mellifera, has been managed by humans for centuries for both honey and wax production and crop pollination. Human management and selective breeding are believed to have caused reductions in genetic diversity in honey bee populations, thereby contributing to the global declines threatening this ecologically and economically important insect. However, previous studies supporting this claim mostly relied on population genetic comparisons of European and African (or Africanized) honey bee races; such conclusions require reassessment given recent evidence demonstrating that the honey bee originated in Africa and colonized Europe via two independent expansions. We sampled honey bee workers from two managed populations in North America and Europe as well as several old-world progenitor populations in Africa, East and West Europe. Managed bees had highly introgressed genomes representing admixture between East and West European progenitor populations. We found that managed honey bees actually have higher levels of genetic diversity compared with their progenitors in East and West Europe, providing an unusual example whereby human management increases genetic diversity by promoting admixture. The relationship between genetic diversity and honey bee declines is tenuous given that managed bees have more genetic diversity than their progenitors and many viable domesticated animals.