1Non-adaptive host-use specificity in tropical armored scale insects
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Daniel A. Peterson1§, Nate B. Hardy2§*, Geoffrey E. Morse3, Takao Itioka4, Jiufeng Wei5, and
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Benjamin B. Normark1
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1. Department of Biology and Graduate Program in Organismic and Evolutionary Biology, University
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of Massachusetts, 221 Morrill Science Center III, 611 North Pleasant Street, Amherst, MA 01003,
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USA; 2. Department of Entomology and Plant Pathology, Auburn University, 301 Funchess Hall,
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Auburn, AL 36849, USA; 3. Department of Biology, University of San Diego, 5998 Alcalá Park, San
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Diego, CA 92110, USA; 4. Graduate School of Human and Environmental Studies, Kyoto University,
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Yoshida-Nihonmatsu-cho, Sakyo-ku, Kyoto 606-8501, Japan; 5. College of Agriculture, Shanxi
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Agricultural University, Taigu, Shanxi, 030801, China
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§ DAP and NBH share first authorship.
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* corresponding author; e-mail: n8@auburb.edu.
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ORCIDs: Peterson, http://orcid.org/0000-0002-3024-3068; Hardy, http://orcid.org/0000-0001-6133-
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7086; Morse, https://orcid.org/0000-0002-5763-8246; Wei, https://orcid.org/0000-0003-4705-2599;
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Normark, http://orcid.org/0000-0002-6267-9552.
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Running head: Non-adaptive specialization
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Abstract
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Most herbivorous insects are diet specialists in spite of the apparent advantages of being a generalist.
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This conundrum might be explained by fitness trade-offs on alternative host plants, yet evidence of
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such trade-offs has been elusive. Another hypothesis is that specialization is non-adaptive, evolving
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through neutral population genetic processes and within the bounds of historical constraints. Here we
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report on a striking lack of evidence for the adaptiveness of specificity in tropical canopy communities
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of armored scale insects. We find evidence of pervasive diet specialization, and find that host-use is
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phylogenetically conservative, but also find that more-specialized species occur on fewer of their
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potential hosts than do less-specialized species, and are no more abundant where they do occur. Of
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course local communities might not reflect regional diversity patterns. But based on our samples,
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comprising hundreds of species of hosts and armored scale insects at two widely separated sites, more
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specialized species do not appear to outperform more generalist species.
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Keywords: Diaspididae, ecological specialization, herbivory, host range, niche breadth, polyphagy
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Introduction
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High species diversity has been attributed to the partitioning of available resources into narrow
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ecological niches (Hutchinson 1959). Yet niche breadth varies greatly between species. Herbivorous
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insects are classic subjects for the study of this variation (Futuyma and Moreno 1988; Hardy et al.
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2020). Although diet specialists prevail, diet breadths vary continuously, and in some species are
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extremely broad (Normark and Johnson 2011; Forister et al. 2015). How did this come to be?
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For the most part, theorists have worked from the premise that diet specialization comes from genetic
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trade-offs between adaptations to alternative resources, specifically antagonistic pleiotropy between
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alleles at a few diet-determining loci (Futuyma and Moreno 1988; Ravigné et al. 2009). Although
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empirical evidence for such genetic trade-offs is scarce (Futuyma 2008; Forister et al. 2012), they
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might be difficult to detect, as they can be hidden by inter-individual fitness variation at linked loci
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(Joshi and Thompson 1995), or arise from epistatic interactions between alleles (Remold 2012;
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Rodriguez-Verdugo et al. 2014; Celorio-Mancera et al. 2016). In sum, the evidence is scarce for the
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adaptive trade-off hypothesis, but it is difficult to falsify outright.
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Alternatively, niche specialization could be driven by non-adaptive processes (Futuyma et al. 1995;
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Gompert et al. 2015). In fact, theoretical spatial models have shown that adaptive trade-offs are not
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necessary to produce niche-breadth distributions resembling those observed in natural communities
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(Forister and Jenkins 2017). Evolving the ability to use a novel host almost certainly entails directional
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selection. But alleles promoting fitness on other potential hosts can be lost through genetic draft during
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strong directional selection on a novel host (Neher 2013), or genetic drift when insect and host
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distributions cease to overlap (Gompert et al. 2015). One way or another, if host-use traits are easy to
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lose but difficult to get back, neutral genetic processes could pull populations towards niche
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specialization (Hardy et al. 2016).
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Host-use trade-offs in herbivorous insects have traditionally been investigated by comparing
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performance across multiple host plants of different insect genotypes within a population. But a
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phylogenetically-informed comparison of host-use across multiple herbivore species offers a
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complementary perspective that may be less obscured by short-term genetic contingencies (Funk et al.
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1995; Futuyma 2010; Hardy and Otto 2014; Peterson et al. 2015, 2016). To wit, it could illuminate the
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overall relationship between diet-breadth and ecological performance. If host-use specificity is
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adaptive, we would expect that on any shared host specialists would tend to perform better than
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closely-related generalists. Likewise, at the meta-population level, if host-use specificity is adaptive,
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we might expect specialists to do a better job of colonizing specific host resources (Gryllenberg and
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Metz 2001). Conversely, if specificity is non-adaptive, we would expect generalists to colonize more of
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their potential hosts, and to perform just as well as specialists on shared hosts, or even perform better if
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there is a population-genetic cost for specificity, for example reduced population size and more erosive
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genetic drift.
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We sought evidence of such performance differences in the relative abundances and patch occupancies
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of 171 putative armored scale insect species (Hemiptera: Diaspididae) across 138 tree species in
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tropical rainforest communities on two continents. As is the case for herbivorous insects in general,
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most diaspidids are host-use specialists, but some can be extremely polyphagous (García Morales et al.
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2016). Diaspidids are sessile and have a simple, pathogen-like life history in which new host trees are
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colonized by wind-dispersed first-instar nymphs that cannot survive for long away from a host (Hardy
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2018). A first-instar nymph landing on a host thus experiences something like a no-choice feeding trial,
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in which it must either successfully develop on that host, or die. Once an individual starts to feed, it
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loses its legs and never moves to another feeding site. Potential for host-choice is therefore limited and
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occurrence of later-instar life stages on a plant is a clear indication that it is a suitable host for
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development and reproduction (Hill and Holmes 2009). A female completes her development,
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reproduces, and dies at the site where she settled as a first instar. A male regains motility as an adult —
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but adult males are completely non-feeding and of course cannot establish new colonies on new host
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plants. Because dispersal is mediated by wind, it presumably cannot be adaptively directed towards
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favored hosts — rather, any host in the local environment is about equally likely to be colonized by any
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given species of diaspidid. And the presence and abundance of a particular species of diaspidid on a
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given host plant is a direct consequence of the ability or inability of members of that diaspidid species
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to successfully develop on that host. In other words, in diaspidids, there is an unusually simple and
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direct causal connection from ecological performance on a host to occupancy of that host and
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abundance on it. Therefore, presence and abundance of diaspidids on alternative hosts are useful
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indices of ecological performance on those hosts. Furthermore, with random, time-limited dispersal,
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one might expect the greatest fitness for genotypes that perform best across most of the commonly
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encountered host-plants. In fact, for diaspidids, we have previously shown that when host associations
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are treated as a binary use-or-nonuse traits, the phylogenetic patterns of host use are incompatible with
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strong adaptive trade-offs (Peterson et al. 2015). Nevertheless, we have not previously been able to
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account for potentially important quantitative differences in performance across host plant groups.
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Our approach was to (1) estimate allele genealogies among the sampled diaspidids for 3 loci, using
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DNA sequence data; (2) estimate species boundaries using these genealogies and also using
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morphology; (3) estimate the degree to which host use is phylogenetically conservative; (4) explicitly
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test for diet specialization in each species; and (5) use abundance-based and patch-occupancy-based
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indices of performance to test if more specialized species tend to do better than less specialized species
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on shared hosts.
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Methods
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What to measure? Diet-breadth dependent performance trade-offs could result from any number of
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mechanistic interactions between a herbivorous insect and a host plant. On a particular host plant, in
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comparison to a more specialized species, a relative generalist might have (1) a reduced ability to
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initiate feeding, (2) a lower feeding rate, (3) less efficient utilization of host nutrients, (4) greater
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susceptibility to host defenses, or (5) more exposure to natural enemies. No matter the mechanism, any
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trade-offs that drive the evolution of specialization would need to ultimately limit survival or fecundity.
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If specialization is an adaptive response to trade-offs between performance on alternative hosts, more
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specialized species should have higher survival or fecundity than less specialized species on shared
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resources. In the studied tropical forest plots, we were not able to measure survival or fecundity
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directly, but we were able to measure the abundance and patch occupancy of each diaspidid species on
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each host-plant species. As mentioned earlier, because after the first-instar stage each diaspidid is stuck
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for life on one host, an observation of a second-instar or adult individual on a host is evidence of
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successful development on that host (Hill and Holmes 2009). Moreover, the relative abundance of
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diaspidid species on each host-plant species is an integrative proxy for fitness – integrating across host-
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dependent differences in diaspidid fecundity and survival. Although local patterns of abundance and
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patch occupancy may be susceptible to stochastic variation and thus are only proxies of fitness,
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regional-scale differences in a diaspidid species’ abundance on alternative hosts map directly to its
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relative fitness on those hosts; if across its geographic distribution a diaspidid population has high
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survival and fecundity on a host plant species, across its range it will be abundant on that host species.
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Thus our inferences about the adaptiveness are contingent only on local samples reflecting broader
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spatial patterns.
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Sampling. We surveyed diaspidids at two wet lowland evergreen tropical rainforest sites: (1) San
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Lorenzo National Park, Panama and (2) Lambir Hills National Park, Malaysia (on the island of
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Borneo). The Panama site, with 3152mm of rainfall per year, is at 30m elevation near the Caribbean
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coast within a large expanse of protected forest. The Malaysia site, with 2700mm of rainfall a year, is
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at 160m elevation in a small protected remnant forest that is now mostly surrounded by recently-
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cleared areas converted to oil-palm plantations. Both sites have high tree diversity; the Borneo site in
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particular has exceptionally high diversity at the species level but is largely dominated by the family
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Dipterocarpaceae (Basset et al. 2003). These sites were chosen because they provided access to the
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forest canopy with a crane, had tagged and data-based each individual mature tree, and because the
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diaspidid faunas in those canopies were diverse. We were not able to search each tree in each plot, so
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we used the tree individual database at each site to divide tree specimens into sampling groups of one
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randomly-selected individual per tree species. Only trees over 10 cm diameter at breast height were
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considered. Otherwise, our samples were not biased by the age or size of tree specimens (or the age and
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size of researchers). We did not sample any tree individual more than once, so tree species with only
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one individual were present only in the first round of sampling, those with two individuals were present
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in the first two rounds, and so on. This protocol allowed us to sample across the full diversity of host
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taxa while also getting multiple samples from common host species.
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In Panama we surveyed 90 trees over three rounds of sampling, representing 53 species, 48 genera, and
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29 families (Table S1). In Malaysia, we surveyed 211 trees over 20 rounds of sampling, including 85
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species, 48 genera, and 27 families (Table S2)
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The canopy crane at each site was used to access canopy-foliage for focal tree. From a gondola
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suspended from the canopy crane, at each focal tree we spent 20 person-minutes searching accessible
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foliage. Any leaves and twigs that we saw were infested by scale insects, we cut from the tree and
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collected. From each tree we also haphazardly took one 20 cm twig sample and one 20 cm2 bark
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sample. Removed plant material was stored in plastic bags and transferred to the lab for processing
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under magnification; live diaspidids were cut from the surrounding plant material and preserved in 95%
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ethanol. Specimens were subsequently sorted to life stage and second-instars and adult females were
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regarded as evidence of successful establishment.
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Phylogenetics. DNA was extracted from all second-instar and adult female armored scale insects using
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Qiagen DNeasy Blood & Tissue kits (Qiagen, Valencia, CA) following the procedure outlined in
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Normark et al. (2019). We amplified three loci that have previously been used for diaspidid
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phylogenetics: elongation factor 1-α (EF1α), part of the large ribosomal subunit rDNA gene (28S), and
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a part of the mitochondrial genome spanning cytochrome c oxidase I and II (COI-II). PCR primers and
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protocols followed Andersen et al. (2010) and Gwiazdowski et al. (2011). PCR products were
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visualized using 1.5% agarose gels with SYBRsafe (Invitrogen, Carlsbad, CA, USA) and successful
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reactions were purified with Exo SAP-IT enzymatic digestion (Affymetrix, Cleveland, OH, USA).
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Sanger sequencing of the PCR products was completed by Macrogen (Cambridge, MA, USA) or Eton
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Biosciences (San Diego, CA, USA). DNA sequences have been submitted to GenBank under accession
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numbers MT641780 – MT642048 and MT676866 – MT677529; some sequences have been previously
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published in connection with phylogenetic studies and these are given in Tables S1 and S2.
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For each site, phylogenetic relationships among all sampled individuals were estimated from the DNA
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sequence data. Sequences from each genetic locus were aligned using PASTA (Mirarab et al. 2014),
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and alignments were trimmed to include only sites with non-gap sequence for at least 80% of
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specimens (Capella-Gutiérrez et al. 2009). Genealogies were inferred using the GTR+CAT model in
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RAxML (Stamatakis 2014). The three single-locus alignments were then combined as one supermatrix,
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from which we also inferred a phylogeny with RAxML. For use in comparative analyses, we made a
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version of the phylogeny with just one tip per species, and scaled branch lengths to time using an auto-
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correlated model of among-lineage rate variation, fit with penalized likelihood as implemented in
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treePL (Smith and O’Meara 2012), and constraining the armored scale root to be 50-75 million years
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old (Vea and Grimaldi 2016).
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Species Delimitation and Identification. In an attempt to make our inferences robust to errors in species
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delimitation, we delimited species in two ways. First, we delimited putative species with a version of
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the genealogical concordance method (as in Gwiazdowski et al. 2011). All clades shared by at least two
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gene trees, and not contradicted by the third gene tree, were considered evolutionarily independent
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lineages. Species were defined provisionally as the most inclusive independent lineages containing at
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least three terminal branches and no more exclusive independent lineages. This method precludes
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delimitation of species represented by fewer than three specimens. To work around this problem, we
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calculated the minimum divergence between provisional species clades, and used that value as a
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maximum threshold for within-species divergence. Any specimens separated by more than this distance
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from all other specimens were also considered distinct species.
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We also delimited and identified them according to standard morphological criteria to the extent that
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this was possible. Because second instars and adults were both included in this study, whereas standard
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keys and descriptions are based on adults only, direct morphological comparisons and identifications
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were not always possible. The analyses below were repeated for DNA-based and morphology-based
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species delimitations. We retained all specimens in both analyses, whether or not they were
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morphologically identifiable; for a few specimens that were not morphologically identifiable, in the
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morphology-based analysis we defaulted to the DNA-based species.
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Statistical Analysis. We characterized host-use specialization by diaspidid species in two ways, each
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applied at three levels of host plant taxonomy (species, genus, and family). This allowed us to assess
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the sensitivity of our inferences to different units of host plant diversity, and to measure the degree to
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which host-use constraints were hierarchical. First, we quantified diet specificity; we asked whether
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diaspidids used less diverse hosts than expected by chance. Concretely, for each diaspidid species, we
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quantified host-taxon diversity using Simpson’s Reciprocal Diversity Index (RDI), which is essentially
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evenness-corrected host-taxon richness. We compared empirical RDIs to those expected under a null
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model of random host use. We simulated 1000 null data sets by randomly permuting the associations
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between diaspidid species and individual host trees; then for each permutation, we again calculated the
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mean RDI for the hosts of each diaspidid. With this approach, a diaspdid species is specialized to the
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extent that its host RDI is lower than expected under the null model.
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In a second view of host-use specialization, we calculated the phylogenetic conservatism of host use
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across diaspidid species. In other words, we asked if evolutionary history constrains host use. We used
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the R package (R Core Team 2017) MCMCglmm (Hadfield and Nakagawa 2010) to measure the
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phylogenetic signal of host use by estimating the proportion of variance in the binary use-or-non-use of
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each host taxon that could be explained by the diaspidid phylogeny. Empirical values for phylogenetic
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signal were then compared to those calculated under a null model. Null data sets were produced by
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randomly swapping associations between diaspidid species and host taxa until the associations were
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thoroughly shuffled (the number of random swaps was 10 times the overall number of associations).
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This preserved the empirical distribution of diet breadths while randomizing specific associations. P-
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values for the empirical phylogenetic signal values were calculated using a Z-test against each
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parameter’s null data set values (which were approximately normally distributed). We corrected for
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multiple comparisons by assigning statistical significance according to a false discovery rate (FDR;
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Benjamini & Hochberg 1995) of 0.05. The FDR procedure was conducted separately for each host-
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taxon level because these analyses were not independent, and must be interpreted as alternative
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configurations of the same data.
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We investigated the strength of performance trade-offs by calculating for each host tree taxon the
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correlation between diaspidid diet breadth (count of host taxa) and mean abundance. If performance
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trade-offs are strong, on any given host taxon, we expect more generalist (less specialized) species to
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be less abundant than more specialized species. We also investigated the relationship between diet
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breadth and the proportion of host trees of a taxon colonized at each site, as patch occupancy may be a
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better indicator of fitness than local abundance in a metapopulation of discrete colonies (Gyllenberg
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and Metz 2001). Using R, we fit generalized linear models. For local abundance, the response variable
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was the number of diaspidid individuals identified per host tree, assuming a Poisson distribution. For
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metapopulation colonization-rate, the response variable was the probability that an individual tree
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within each host taxon would be colonized by a diaspidid species, assuming a binomial distribution and
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excluding host taxa with fewer than 3 trees surveyed. Both models only incorporated data for host-
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taxon-by-diaspidid associations with at least one record. To assess statistical significance, we compared
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empirical coefficients to those estimated from 1000 null data sets, produced by randomly permuting the
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empirical data.
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The scripts used for the analysis will be made available at Dryad.
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Results
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DNA-based species delimitations. In Panama we found live diaspidids on 75 trees, yielding 380 female
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specimens (adults and second instars). At least two loci were successfully amplified for 184 specimens,
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belonging to 53 DNA-delimited species (Fig. A1.4; Table A1.1). Assignment to a morphologically
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defined species was possible for 180 specimens, representing 32 described and 12 undescribed species.
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Species assignments and trophic links are in Table S1. In Malaysia, we found live diaspidids on 102
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trees, yielding 480 female specimens. At least two loci were successfully amplified for 266 specimens,
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belonging to 123 DNA-delimited species (Fig. A1.5 Table A1.1). Assignment to a morphologically
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defined species was possible for 259 specimens, representing 20 described and 58 undescribed species.
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Species assignments and trophic links are in Table S2.
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We found strong evidence for host-use specialization, both in terms of less-than-expected host plant
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diversity, and more-than-expected phylogenetic conservatism of host use. The Simpson’s RDI of each
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diaspidid species’ diet was significantly lower than expected at all host taxonomic levels and in both
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locations, except at the host-species level in Panama (Table 1). Phylogenetic signal was significantly
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stronger than its null expectation for 19 host taxa (Figure A1.6), although it was higher at the Malaysia
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site (mean 0.61) than the Panama site (mean 0.45), with 18 Malaysian host taxa with significant
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phylogenetic conservatism, compared to just one Panamanian host taxon with significant conservatism.
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Despite the prevalence of diaspidid host-use specialization at our two sites, and of extensive
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phylogenetic conservatism of host use in Malaysia, we found no evidence for performance trade-offs
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on alternative hosts that would select against broad diets. More specialized species were no more
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abundant than less specialized species on specific host trees; the number of live adult or second instar
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female diaspidids found on each tree was not correlated with diet breadth (Fig. 1; Table 2). Moreover,
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contra the metapopulation trade-off hypothesis, diaspidids with broader diets were observed on a higher
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proportion of the trees in their host taxa, although this effect was not significant for Malaysian
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diaspidids and their host plant species (Figure 2; Table 2).
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Morphology-based delimitations. The results of the analyses using morphologically delimited species
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were broadly consistent with those using DNA-delimited species. As for analyses using DNA-delimited
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species, with morphology-delimited species we found that diaspidid species were more specialized than
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expected by chance (Table A1.2), that more specialized species were no more abundant on their hosts
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(Table A1.3), and tended to occupy a smaller proportion of their potential host plants (Table A1.3).
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Discussion
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Diaspidid species in tropical rainforest canopy habitats appear to use as hosts only a small proportion of
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the plant taxa in their local environment; simply put, as is the case for herbivorous insects in general
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(Forister 2015), diaspidids tend to be exhibit diet specialization (Figure A1.7). But across the hundreds
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of trees that we surveyed, more specialized species were no more abundant on their hosts than more
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generalist species, and occurred on a smaller proportion of their potential host plants. Is specialization
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for these diaspidids non-adaptive?
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Such a conclusion would hinge on the assumption that what we saw within the reach of canopy cranes
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is what we would have seen elsewhere. But if abundance varies much over space, local differences in
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abundance could be misleading. Some such heterogeneity in the spatial distribution of diaspdids is
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expected. The quality of specific host-plant resources can vary due to spatial mosaics of natural enemy
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pressure (Heard et al. 2006), as well as host-plant features such as genotype, induced defensive state,
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and physical structure (Dixon 2005). Although we saw no abundant species among those that were the
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most specialized, each could have been abundant somewhere else in the forest, where more suitable
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resources occur. Nevertheless, extreme patchiness in the abundance of the most specialized species
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would entail a meta-population fitness cost, as local catastrophes would be more likely to cause
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extinction (Nurmi & Parvinen 2008). In sum, potential spatial variation in abundance keeps us from
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making definite conclusions about the adaptiveness of specificity in diaspidids. But this potential is
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diminished by the cost of meta-population patchiness, and the consistency of our observations across
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species and communities.
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Our inferences should be robust to temporal variation in the sampled diaspidid populations. Of course,
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when we sampled each site, some diaspidid species could have been under-represented because of their
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phenology or the vagaries of local population dynamics. But we sampled many diaspidid species at
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each site, and see no basis to suspect that phenology would vary systematically with diet breadth, or
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that lows in stochastic populations fluctuations would occur predominantly in the most specialized
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species. In sum, species-specific temporal variation in population size and age structure added
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statistical noise to our data, though which the signal of strong performance in generalists was strong
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enough to be discerned.
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We found that the use of many host taxa by diaspidids was phylogenetically conservative. Although
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such conservatism of host use has been found for several other groups of herbivorous insects, such as
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butterflies (Janz et al. 2001) and beetles (Kelley and Farrell 1998), it has a special significance for
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diaspidids, as they colonize new hosts haphazardly via wind (Magsig-Castillo et al. 2010), and our
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previous work (Peterson et al. 2015), along with the research presented here, suggest that constraints on
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host-use may be non-adaptive. Consequently, the phylogenetic conservatism of host-use in diaspidids
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may more likely denote historical constraints on contemporary niches than long-term niche
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optimization. Given the evidence of a lack of performance trade-offs for diaspidids between alternative
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hosts (Peterson et al. 2015), host-use constraints would seem to persist in the face of what may be
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strong selection for broad diets.
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Our results also shed light on the complexity of host-use traits in plant-feeding insects (Barrett and Heil
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2012; Forister et al. 2012). We found that specialization in armored scale insects occurs at all three of
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the host-taxonomic levels that we considered (species, genus, and family), suggesting that the genomic
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architecture of host-use traits is both complex and hierarchical. Use of multiple hosts is often associated
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with close phylogenetic relationships among those hosts (Gilbert and Webb 2007; Krasnov et al. 2012),
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yet such results in flying insects may reflect host-preference or ease of host recognition more than host
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performance (Bernays 2001). Because diaspidids have little opportunity to choose a host, phylogenetic
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conservatism at multiple taxonomic levels implies that performance on a host likely depends on many
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traits of various effect sizes. Although actual mechanisms are as yet unclear (but see Hogenhout and
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Bos 2011; Ali and Agrawal 2012), the involvement of many genetic loci in plant-insect interactions is
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consistent with both ecological (Singer and Stireman 2005) and genetic (Remold 2012) theory as well
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as recent genome-wide association studies (e.g., Egan et al. 2015; Gompter et al. 2015).
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Our DNA-based species delimitation allow us some insight into whether any species that have been
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characterized as extremely polyphagous (Normark & Johnson 2011; Normark et al. 2014) are in fact
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clusters of cryptic species that are more specialized. The answer is mixed. On the one hand, in Panama,
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the single most polyphagous species in the sample, Selenaspidus articulatus (Morgan) shows no hint of
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cryptic species diversity — not surprisingly, as it is native to Africa and invasive in Panama (Normark et
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al. 2019). On the other hand, several other reportedly highly polyphagous species do appear to
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represent cryptic species clusters. In Panama, only a single morphologically-delimited species shows
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evidence of cryptic diversity: samples of Diaspis boisduvalii (Signoret) were apportioned across five
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DNA-delimited species. In contrast, at the Malaysian site, cryptic diversity appears rampant, especially
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among the most polyphagous species: Chrysomphalus dictyospermi (Morgan), purported to use 80 host
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families worldwide, was recovered as two cryptic species; Chrysomphalus pinnulifer (Maskell), with
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40 host families worldwide, was also recovered as two cryptic species; Morganella longispina
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(Morgan), 22 host families worldwide, three cryptic species; Aonidiella inornata McKenzie, 24 host
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families worldwide, three cryptic species. We also found cryptic diversity in less polyphagous
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Southeast Asian species: Silvestraspis uberifera (Lindinger), three cryptic species, and Aulacaspis
359
calcarata (Takagi), eight cryptic species, as well as in several undescribed species. Most strikingly, one
360
undescribed species provisionally designated Sishanaspis ud4977 appears to comprise a complex of 10
361
cryptic species. The upshot is that in Malaysia traditional morphology-based species delimitation seems
362
to miss much of the true diversity. But our inferences about the extent and consequence of diet
363
specificity in diaspidids appear robust to how species are delimitated.
364
365
Although it falls outside of the main theme of this study, one other insight afforded by the
366
morphological species identifications, which may help explain difference in diet breadth and host
367
occupancy observed between the two sites, is the incidence of invasive species. At the Malaysian site
368
we found no genera native to regions other than Southeast Asia, whereas in Panama nearly half of
369
morphologically identifiable individuals (77/180 = 43%) belong to invasive species (Normark et al.
370
2019). In addition to Selenaspidus articulatus (sampled on 18 host species), these include several
371
genetically uniform populations that we sampled on multiple host species, including Lepidosaphes
372
rubrovittata (Cockerell) (6 hosts), Chrysomphalus dictyospermi (4 hosts), Aspidiotus excisus Green (3
373
hosts), and Lepidosaphes punicae Laing (3 hosts). Thus the narrower diets and higher host occupancy
374
in Panama could have something to do with the relatively recent arrival of much of the diaspidid fauna,
375
although such an effect of geographic range expansion on diet breadth would be the opposite of what
376
has been found for some other herbivorous insects (Lancaster 2020).
377
378
In conclusion, evolutionary fitness is difficult to measure and we can not draw straight lines connecting
379
it to differences in local abundance and patch occupancy. It could be that for diaspidids the quality of
380
host resources is extremely uneven across tropical canopies, and that for each of the relatively
381
specialized species we sampled there was an unsampled population booming somewhere else in the
16
382
forest. Or it could simply be that host specialization is not adaptive for wind-dispersed plant pathogens
383
in diverse host-plant communities. If host-use specialization is adaptive and high quality hosts are
384
patchy and rare, then the question becomes this: why are the most specialized species so much less
385
abundant than expected? What are the conditions that must be met for a specialist to make good on
386
their specialty? But as it stands, the patchiness and rarity of specialist-supporting host plants are ad hoc
387
hypotheses, that is, extraneous additions to the theory of adaptive host-use specialization to prevent its
388
falsification.
389
390
Acknowledgements
391
We thank the Smithsonian Tropical Research Institute for facilitating our fieldwork in Panama. Our
392
field survey at Lambir Hills National Park was conducted in accordance with the Memorandums of
393
Understanding signed between the Sarawak Forest Department (SFD, Kuching, Malaysia) and the
394
Japan Research Consortium for Tropical Forests in Sarawak (JRCTS, Sendai, Japan) in December
395
2012. Thanks to Mohd. Shahbudin Sabki, Engkamat Lading, and Mohamad bin Kohdi, Paulus Meleng
396
of SFD for help in obtaining research permission at the Lambir Hills National Park. We thank Tohru
397
Nakashizuka (Tohoku University, Sendai, Japan) and Tomoaki Ichie (Kochi University, Kochi, Japan)
398
for their support. Diaspidid sample processing was by Katelyn Mullen, Ryan McCarthy, Mitchel
399
Logan, Michael Fizdale, Kyara Romeu, Shannon Trujillo, Hannah Shapiro, and Anna Whitfield. DAP’s
400
dissertation committee (Michael Hood, Adam Porter and Laura A. Katz) and anonymous reviewers
401
provided helpful suggestions that have improve the manuscript. JW’s participation was supported by
402
the China Scholarship Council. This work was supported by the National Science Foundation (DEB-
403
1258001; DEB-1744552) and by Grants-in-Aid (no. 21255004 to TI) from the Japanese Ministry of
404
Education, Science and Culture.
17
405
Figures
406
Figure 1. We found no relationship between the observed host range of diaspidid species and their
407
abundance on each individual host. Here we plot every tree colonized by each diaspidid species
408
independently, and dot area is proportional to the number of data points at that coordinate. Results are
409
divided by location and host taxonomic level: a) Panama, species; b) Panama, genus; c) Panama,
410
family; d) Malaysia, species; e) Malaysia, genus; f) Malaysia, family. None of these relationships (as
411
fitted by a linear model, dashed line) was statistically different from expectations under a null model
412
(all P > 0.9).
18
413
414
Figure 2. Diaspidid species with larger host ranges were present on a higher proportion of the
415
individual trees in their host range. Here each observed host-taxon-by-diaspidid-species interaction is
416
plotted independently, although host taxa with fewer than three tree individuals surveyed were
417
excluded from this analysis. Circle area is proportional to the number of data points at that coordinate.
418
Results are divided by location and host taxonomic level: a) Panama, species; b) Panama, genus; c)
419
Panama, family; d) Malaysia, species; e) Malaysia, genus; f) Malaysia, family. All fitted slopes
19
420
(dashed lines) were positive and all were statistically significant (P < 0.05), except in Malaysia by host
421
genus (P = 0.062).
20
422
Literature Cited
423
Ali, J. G., and A. A. Agrawal. 2012. Specialist versus generalist insect herbivores and plant defense.
424
Trends Plant Sci. 17:293–302.
425
Andersen, J. C., J. Wu, M. E. Gruwell, R. Gwiazdowski, S. E. Santana, N. M. Feliciano, G. E. Morse,
426
and B. B. Normark. 2010. A phylogenetic analysis of armored scale insects (Hemiptera: Diaspididae),
427
based upon nuclear, mitochondrial, and endosymbiont gene sequences. Mol. Phylogenet. Evol. 57:992–
428
1003.
429
Barrett, L. G., and M. Heil. 2012. Unifying concepts and mechanisms in the specificity of plant-enemy
430
interactions. Trends Plant Sci. 17:282–292.
431
Benjamini, Y., and Y. Hochberg. 1995. Controlling the false discovery rate: a practical and powerful
432
approach to multiple testing. J. R. Stat. Soc. Ser. B 57:289–300.
433
Bernays, E. A. 2001. Neural limitations in phytophagous insects: implications for diet breadth and
434
evolution of host affiliation. Annu. Rev. Entomol. 46:703–727.
435
Capella-Gutiérrez, S., J. M. Silla-Martínez, and T. Gabaldón. 2009. trimAl: a tool for automated
436
alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25:1972–1973.
437
Celorio-Mancera, M. de la P., C. W. Wheat, M. Huss, F. Vezzi, R. Neethiraj, J. Reimegård, S. Nylin,
438
and N. Janz. 2016. Evolutionary history of host use, rather than plant phylogeny, determines gene
439
expression in a generalist butterfly. BMC Evol. Biol. 16:59. BMC Evolutionary Biology.
440
Dixon, A. F. G. 2005. Insect herbivore-host dynamics: tree-dwelling aphids. Cambridge University
441
Press, Cambridge, 199pp.
21
442
Egan SP, Ragland GJ, Assour L, Powell TH, Hood GR, Emrich S, Nosil P, Feder JL. 2015.
443
Experimental evidence of genome wide impact of ecological selection during early stages of speciation
444
with gene flow. Eco. Let. 18(8): 817–825
445
Forister, M. L., L. A. Dyer, M. S. Singer, J. O. Stireman, and J. T. Lill. 2012. Revisiting the evolution of
446
ecological specialization, with emphasis on insect-plant interactions. Ecology 93:981–991.
447
Forister, M. L., and S. H. Jenkins. 2017. A neutral model for the evolution of diet breadth. Am. Nat.
448
190:E40–E54.
449
Forister, M. L., V. Novotny, A. K. Panorska, L. Baje, Y. Basset, P. T. Butterill, L. Cizek, P. D. Coley, F.
450
Dem, I. R. Diniz, P. Drozd, M. Fox, A. E. Glassmire, R. Hazen, J. Hrcek, J. P. Jahner, O. Kaman, T. J.
451
Kozubowski, T. A. Kursar, O. T. Lewis, J. Lill, R. J. Marquis, S. E. Miller, H. C. Morais, M. Murakami,
452
H. Nickel, N. A. Pardikes, R. E. Ricklefs, M. S. Singer, A. M. Smilanich, J. O. Stireman, S. Villamarín-
453
Cortez, S. Vodka, M. Volf, D. L. Wagner, T. Walla, G. D. Weiblen, and L. A. Dyer. 2015. The global
454
distribution of diet breadth in insect herbivores. Proc. Natl. Acad. Sci. U. S. A. 112:442–7.
455
Funk, D. J., D. J. Futuyma, G. Orti, and A. Meyer. 1995. A history of host associations and
456
evolutionary diversification for Ophraella (Coleoptera: Chrysomelidae): new evidence from
457
mitochondrial DNA. Evolution 49:1008–1017.
458
Futuyma, D. J. 2010. Evolutionary constraint and ecological consequences. Evolution 64:1865–84.
459
Futuyma, D. J. 2008. Sympatric speciation: norm or exception? Pp. 136–147 in Specialization,
460
Speciation, and Radiation: The Evolutionary Biology of Herbivorous Insects.
461
Futuyma, D. J., M. Keese, and D. J. Funk. 1995. Genetic constraints on macroevolution: the evolution
462
of host affiliation in the leaf beetle genus Ophraella. Evolution 49:797–809.
22
463
Futuyma, D. J., and G. Moreno. 1988. The evolution of ecological specialization. Annu. Rev. Ecol.
464
Syst. 19:207–233.
465
García Morales, M., B. D. Denno, D. R. Miller, G. L. Miller, Y. Ben-Dov, N. B. Hardy. 2016. ScaleNet:
466
a literature-based model of scale insect biology and systematics. Database, 2016.
467
Gilbert, G. S., and C. O. Webb. 2007. Phylogenetic signal in plant pathogen-host range. Proc. Natl.
468
Acad. Sci. U. S. A. 104:4979–83.
469
Gompert, Z., J. P. Jahner, C. F. Scholl, J. S. Wilson, L. K. Lucas, V. Soria-Carrasco, J. A. Fordyce, C. C.
470
Nice, C. A. Buerkle, and M. L. Forister. 2015. The evolution of novel host use is unlikely to be
471
constrained by trade-offs or a lack of genetic variation. Mol. Ecol. 24:2777–2793.
472
Gwiazdowski, R. A., I. M. Vea, J. C. Andersen, and B. B. Normark. 2011. Discovery of cryptic species
473
among North American pine-feeding Chionaspis scale insects (Hemiptera: Diaspididae). Biol. J. Linn.
474
Soc. 104:47–62.
475
Gyllenberg, M., and J. Metz. 2001. On fitness in structured metapopulations. J. Math. Biol. 43:545–60.
476
Hadfield, J. D., and S. Nakagawa. 2010. General quantitative genetic methods for comparative biology:
477
phylogenies, taxonomies and multi-trait models for continuous and categorical characters. J. Evol. Biol.
478
23:494–508.
479
Hardy, N. B. 2018. The Biodiversity of Sternorrhyncha: Scale insects, aphids, psyllids, and whiteflies.
480
Insect Biodiversity: Science and Society, pp.591–625.
481
Hardy, N. B., C. Kaczvinsky, G. Bird, B. B. Normark. 2020. What we don’t know about diet-breadth
482
evolution in herbivorous insects. Annual Review of Ecology, Evolution and Systematics 51:103–122.
483
https://doi.org/10.1146/annurev-ecolsys-011720-023322
23
484
Hardy, N. B., and S. P. Otto. 2014. Specialization and generalization in the diversification of
485
phytophagous insects: tests of the musical chairs and oscillation hypotheses. Proceedings of the Royal
486
Society B -- Biological Sciences 281: 20132960 http://dx.doi.org/10.1098/rspb.2013.2960.
487
Hardy, N. B., D. A. Peterson, and B. B. Normark. 2016. Nonadaptive radiation: pervasive diet
488
specialization by drift in scale insects? Evolution 70:2421–2428.
489
Heard, S. B., J. O. Stireman, J. D. Nason, G. H. Cox, C. R. Kolacz, and J. M. Brown. 2006. On the
490
elusiveness of enemy-free space: spatial, temporal, and host-plant-related variation in parasitoid attack
491
rates on three gallmakers of goldenrods. Oecologia, 150:421–434.
492
Hill, M. G., and T. Holmes. 2009. An analysis of latania scale (Hemiberlesia lataniae) crawler
493
settlement behaviour on kiwifruit leaves and bark. New Zeal. Plant Prot. 62:56–62.
494
Hogenhout, S. A., and J. I. B. Bos. 2011. Effector proteins that modulate plant-insect interactions. Curr.
495
Opin. Plant Biol. 14:422–428.
496
Hutchinson, G. E. 1959. Homage to Santa Rosalia or why are there so many kinds of animals? Am.
497
Nat. 93:145–159.
498
Janz, N., K. Nyblom, and S. Nylin. 2001. Evolutionary dynamics of host‐plant specialization: a case
499
study of the tribe Nymphalini. Evolution 55:783–796.
500
Joshi, A., and J. N. Thompson. 1995. Trade-offs and the evolution of host specialization. Evol. Ecol.
501
9:82–92.
502
Kelley, S. T., and B. D. Farrell. 1998. Is specialization a dead end? The phylogeny of host use in
503
Dendroctonus bark beetles (Scolytidae). Evolution 52:1731–1743.
24
504
Krasnov, B. R., M. A. Fortuna, D. Mouillot, I. S. Khokhlova, G. I. Shenbrot, and R. Poulin. 2012.
505
Phylogenetic signal in module composition and species connectivity in compartmentalized host-
506
parasite networks. Am. Nat. 179:501–511.
507
Lancaster, L. T, 2020. Host use diversification during range shifts shapes global variation in
508
Lepidopteran dietary breadth. Nature Ecology & Evolution 4:963–969.
509
Magsig-Castillo, J., J. G. Morse, G. P. Walker, J. L. Bi, P. F. Rugman-Jones, and R. Stouthamer. 2010.
510
Phoretic dispersal of armored scale crawlers (Hemiptera: Diaspididae). J. Econ. Entomol. 103:1172–
511
1179.
512
Mirarab, S., N. Nguyen, and T. Warnow. 2014. PASTA: ultra-large multiple sequence alignment. Res.
513
Comput. Mol. Biol. 177–191.
514
Neher, R. A. 2013. Genetic draft, selective interference, and population genetics of rapid adaptation.
515
Ann. Rev. Eco. Evo. Sys. 44:195–215.
516
Normark, B. B., G. E. Morse, A. Krewinski, and A. Okusu. 2014. Armored scale insects (Hemiptera:
517
Diaspididae) of San Lorenzo National Park, Panama, with descriptions of two new species. Ann.
518
Entomol. Soc. Am. 107:37–49.
519
Normark, B. B., and N. A. Johnson. 2011. Niche explosion. Genetica 139:551–564.
520
Nurmi, T. and K. Parvinen, 2008. On the evolution of specialization with a mechanistic underpinning in
521
structured metapopulations. Theor. Pop. Bio. 73:22–3243.
522
Peterson, D. A., N. B. Hardy, G. E. Morse, I. C. Stocks, A. Okusu, and B. B. Normark. 2015.
523
Phylogenetic analysis reveals positive correlations between adaptations to diverse hosts in a group of
524
pathogen-like herbivores. Evolution 69:2785–2792.
25
525
Peterson, D. A., N. B. Hardy, and B. B. Normark. 2016. Micro- and macroevolutionary trade-offs in
526
plant-feeding insects. Am. Nat. 188:640–650.
527
R Core Team. 2017. R: A language and environment for statistical computing. R Foundation for
528
Statistical Computing, Vienna, Austria.
529
Ravigné, V., U. Dieckmann, and I. Olivieri. 2009. Live where you thrive: joint evolution of habitat
530
choice and local adaptation facilitates specialization and promotes diversity. Am. Nat. 174:E141–E169.
531
Remold, S. 2012. Understanding specialism when the jack of all trades can be the master of all. Proc.
532
R. Soc. B Biol. Sci. 279:4861–4869.
533
Rodriguez-Verdugo, A., D. Carrillo-Cisneros, A. Gonzalez-Gonzalez, B. S. Gaut, and A. F. Bennett.
534
2014. Different tradeoffs result from alternate genetic adaptations to a common environment. Proc.
535
Natl. Acad. Sci. 111:12121–12126.
536
Singer, M. S., and J. O. Stireman. 2005. The tri-trophic niche concept and adaptive radiation of
537
phytophagous insects. Ecol. Lett. 8:1247–1255.
538
Smith, S. A., and B. C. O’Meara. 2012. treePL: divergence time estimation using penalized likelihood
539
for large phylogenies. Bioinformatics 28:2689–2690.
540
Stamatakis, A. 2014. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large
541
phylogenies. Bioinformatics 30:1312–3.
542
Vea, I. M., and D. A. Grimaldi. 2016. Putting scales into evolutionary time: the divergence of major
543
scale insect lineages (Hemiptera) predates the radiation of modern angiosperm hosts. Sci. Rep.
544
6:23487. Nature Publishing Group.
545
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Data Accessibility
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DNA sequences will be deposited in GenBank, and trophic link data and analysis scripts will be
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uploaded to Dryad upon acceptance.
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Competing Interests
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The authors are unaware of any conflicts of interest.
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Author Contributions
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BBN, GEM, and DAP designed the study. All authors except NBH obtained the data. DAP and NBH
556
analyzed the data and wrote the paper, with input from BBN, GEM, JW, and TI.
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Table 1: Mean Simpson’s reciprocal diversity index (1/D) of individual host trees colonized by each
560
DNA-delimited diaspidid species for both sampling locations and all three host taxonomic levels.
Location
Taxon Level Empirical 1/D
Null 1/D
Z
P
Panama
Species
3.162
3.321
-1.449
0.147
Panama
Genus
3.008
3.295
-2.721
0.007
Panama
Family
2.671
2.983
-2.887
0.004
Malaysia
Species
1.643
2.087
-9.902
< 0.001
Malaysia
Malaysia
Genus
Family
1.461
1.461
1.955
1.785
-6.400
-3.472
< 0.001
< 0.001
561
Table 2: Statistical results from the models relating abundance per host and the proportion of host
562
taxon occupancy to the local diet breadth of each DNA-delimited diaspidid species.
Location
Taxon Level
Abundance
Occupancy proportion
Slope
Z
P
Slope
Z
P
Panama
Species
0.000
0.059
0.953
0.030
2.616
0.009
Panama
Genus
0.000
0.070
0.944
0.036
3.125
0.002
Panama
Family
0.001
0.074
0.941
0.052
2.908
0.004
Malaysia
Species
0.007
0.098
0.922
0.361
2.077
0.038
Malaysia
Malaysia
Genus
Family
0.006
0.006
0.115
0.111
0.909
0.912
0.455
0.765
1.867
5.381
0.062
< 0.001
29