Gone gorilla

Humans and lowland gorillas (Gorilla gorilla gorilla) share many features, including strong social bonds among members of their group.  Lowland gorillas differ from humans in that one male (the silverback) dominates the group, which is composed of several females and their offspring. Some mature males are unable to attract females and may be consigned to a solitary existence.  The silverback male mates with females in his group, and may allow other females to join.  However, if a female joins a new group with an unweaned child, there is a high probability that the silverback will kill the child, as a way of getting the female into estrous more quickly, so that he can be the father of more future children.

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A group of gorillas ranges over the landscape. Credit: Céline Genton CNRS/University of Rennes

The Odzala-Kokoua National Park in the Republic of Congo is home to several thousand lowland gorillas. Nelly Ménard and Pascaline Le Gouar (in affiliation with the ECOBIO laboratory CNRS/University of Rennes) have been studying two populations of these gorillas for over 20 years, and have identified and collected long-term data on 593 individuals from the two populations in their study. Working with their student, Alice Baudouin, and several other researchers, they documented that about 22% of the individuals were suffering from a yaws-like disease – an infectious skin disease caused by the bacterium Treponema pallidum pertenue.

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A mother carries her infected infant. Credit: Ludovic Bouquier CNRS/University of Rennes

Females may disperse from their social group several times over the course of their lifetime.  Factors influencing the decision to disperse include availability of a higher quality silverback, reduction of predation, and avoiding inbreeding, resource competition and disease.  Given the prevalence and conspicuousness of yaws, the researchers suspected that these highly intelligent animals would use a variety of cues to inform them of whether they should disperse and which group they should attempt to join.  They expected that females should leave diseased silverbacks for healthy ones, that they should leave groups with numerous diseased individuals and immigrate into groups with healthy individuals, and that diseased females would be less likely to leave their group. Other factors influencing a gorilla’s decision might include group size, group age and whether she had an unweaned infant in her care.

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Silverback gorilla viewed from the mirador (observation post). Credit: Céline Genton CNRS/University of Rennes.

Because they considered so many variables, the researchers used their dataset to construct models of the probability of emigration (leaving the group) and immigration (entering a new group).  The research team categorized each breeding group based on the age of the oldest offspring: young (oldest offspring less than 4 years), juvenile (<7.5 years), mature (<11 years) and senescent (< 14 years). Female gorillas were more likely to emigrate if their group had numerous infected individuals (graph a below) and if the silverback was severely infected (graph b). They were also more likely to leave an older breeding group, perhaps understanding that the silverback would be losing effectiveness in the near future (graph c).  Lastly, females with unweaned infants were very unlikely to leave a group (graph d), presumably unwilling to accept the risk that their infant might starve or be killed if they attempted to join a new group.

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Probability an adult female emigrates from her group in relation to (a) number of severely diseased individuals within her group, (b) presence of severe lesions on the silverback, (c) age of the breeding group, and (d) presence of an unweaned infant.  Dotted lines (in graph a) and bars (in graphs b, c and d) indicate 95% confidence intervals.

The research team did a similar analysis of factors associated with female gorillas immigrating into a new breeding group.

GorillaFig3

Probability an adult female immigrates into a group in relation to (a) age of group, (b) presence of severely diseased individuals, and (c) group size. Bars (in graph a and b) and dotted lines (graph c) indicate 95% confidence intervals.

 

They discovered that females were much more likely to join younger groups which had younger silverbacks (graph a).  In addition, females tended to join groups without any severely diseased individuals (graph b).  They were also attracted to smaller groups (graph c).

Based on these data, it is clear that disease strongly influences female dispersal decisions.  Females were much more likely to disperse from breeding groups with numerous infected individuals, and strongly avoided groups with more than two diseased individuals. This is not surprising, given how conspicuous these skin lesions are, particularly in the facial regions.  Contrary to expectation, female disease status (infected or not) did not influence female dispersal tendency. The researchers suggest that dispersal might not be particularly costly to the female (assuming she does not have an unweaned infant) because the home range of social groups overlap broadly so it is easy to move from one group to another, and food is also plentiful throughout the range.

Many features of a gorilla’s social environment influence its dispersal decisions. Because diseased females are as likely to disperse as healthy females, the disease pathogen may be more easily spread into previously uninfected gorilla populations.  On the other hand,  dispersing female avoidance of diseased populations has the effect of quarantining the diseased populations. The researchers hope to get a better understanding of the mechanisms of female appraisal of their social environment, so they can predict changes in the prevalence of this pathogen.

note: the paper that describes this research is from the journal Ecology. The reference is Baudouin, A., S. Gatti, F. Levrero, C. Genton, R. H. Cristescu, V. Billy, P. Motsch, J.-S. Pierre, P. Le Gouar, and N. Ménard. 2019. Disease avoidance, and breeding group age and size condition the dispersal patterns of western lowland gorilla females. Ecology 100(9): e02786. 10.1002/ecy.2786.  Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2019 by the Ecological Society of America. All rights reserved.

It’s all happening at the ecotone

In an effort to make order out of the chaos of existence, scientists often resort to classifying stuff.  To make order of the natural world, ecologists classify different regions of the world into distinct biomes – large geographical areas with characteristic groups of organisms adapted to that particular environment.  Familiar examples of terrestrial biomes are tropical forests, temperate grasslands and desert, and in the aquatic world examples include open ocean, coral reefs and rivers. But what happens at ecotones, where two or more biomes come together? Research has shown that ecotones can be biodiversity hotspots, as the diverse habitats attract many different species, and may also attract edge specialists – species that are particularly adapted to conditions on the border between the two biomes.

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Sara Weinstein collects data at the ocean to land ecotone. Credit: Anand Varma.

Sara Weinstein’s graduate research explored the ecology and transmission of raccoon roundworm, Baylisascaris procyonis, a widespread raccoon parasite that causes severe disease in other animals (including humans).  She was dissecting raccoons to study infection patterns and as she describes “it would have been a waste of perfectly good raccoon guts to not also examine the rest of the parasite community.”  This examination would allow her to determine whether the generalization that ecotones are biodiversity hotspots for terrestrial and aquatic organisms also applies to the much more murky world of gut parasites.

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A raccoon poses next to a culvert. Credit: SB Weinstein.

Working with four other researchers, Weinstein compiled a database of published accounts of gastrointestinal parasites from surveys of 256 raccoon populations.  They then used this database to classify parasites as either core or satellite.  Core parasites are locally abundant, common over a large region and can occupy a broad ecological niche.  Satellite parasites are rare, restricted to a small portion of a region and have narrow ecological niches.

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Microphallus sp. – a group of relatively rare satellite trematodes collected from a raccoon gut. Credit: SB Weinstein.

Weinstein and her colleagues found that the data divided raccoon gut parasites into two distinct groups.

Fig1BCWeinstein

Top graph. Parasite frequency across raccoon populations. Most parasite genera were found in less than 10% of the raccoon populations.  Dashed line indicates 30% cutoff between satellite and core genera.  Bottom graph. Proportion of raccoons infected with each parasite  in relation to range-wide prevalence.  Larger data points indicate more populations surveyed for a given parasite.

 

There were eight taxa (genera) that were found in more than 40% of raccoon populations. In contrast there were 51 genera that were found in fewer than 30% of raccoon populations, with the vast majority of these found in fewer than 10% of raccoon populations in the survey (top graph on left).  The eight common taxa – core parasites – also tended to be present in more individuals within each population than did the 51 less common genera of satellite parasites (bottom graph on left).

 

Having defined core and satellite parasites, the researchers then did a thorough analysis of the gut contents of 180 raccoon collected by trappers and animal control agents in Santa Barbara County between 2012 – 2015. They hypothesized that the prevalence of core parasites should not be overly affected by ecotones.  In contrast, satellite parasites should increase in ecotones, because ecotones provide unique environmental conditions that would be suitable to some of the less common species in the parasite community.

 

In Santa Barbara County, Weinstein and her colleagues identified four core parasites and nine satellite parasites within the population, with a mean of 2.24 parasite species per raccoon. Racoons nearer to the marine ecotone harbored more parasite species than did raccoons more distant from the marine ecotone, a result of much greater richness of satellite species (left graph below). The story was very different for the freshwater ecotone.  Overall, parasite richness was relatively constant in relation to distance from the freshwater ecotone.  There were actually fewer core parasites but more satellite parasites near the freshwater ecotone (right graph below).

Fig3Weinstein

Left graph. Total parasite richness (orange line) in relation to distance from shore.  Satellites (orange fill) increased in abundance near the shore, while core parasites (maroon line) were steady. Right graph. Total parasite richness in relation to distance from freshwater.

Why did core parasite richness decline near the freshwater ecotone?  Weinstein and her colleagues believe that diet may play an important role.  For example, the core parasites Atriotaenia procyonis and Physoloptera rara were more common in raccoons far from freshwater, probably because racoons are infected by these two parasites as a result of eating terrestrial (but not aquatic) insect species that are intermediate hosts for these two parasite species.  As it turns out, these intermediate insect hosts prefer upland habitats that tend to be located relatively distant from the freshwater ecotone.

Increased abundance of rare parasites at ecotones has important implications for human health.  Several emerging infectious diseases, such as lyme disease, yellow fever and Nipoh virus are associated with ecotones. Habitat development by the expanding human population is causing increased habitat fragmentation, creating more ecotones, and potentially increasing the prevalence of these and other, equally unfriendly, parasites.

note: the paper that describes this research is from the journal Ecology. The reference is Weinstein, S. B., J. C. Van Wert, M. Kinsella, V. V. Tkach, and K. D. Lafferty. 2019. Infection at an ecotone: cross-system foraging increases satellite parasites but decreases core parasites in raccoons. Ecology 100(9):e02808. 10.1002/ecy.2808.  Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2019 by the Ecological Society of America. All rights reserved.

 

Fewer infections found in forest fragments

As human populations expand, we are converting ecosystems from one state to another.  In the case of tropical forests, conversion of forest to cropland may leave behind fragments of relatively undisturbed forest surrounded by a matrix of cropland or other forms of development.  Conservation ecologists are exploring whether ecological processes and ecosystem structure in these fragments work pretty much like normal forested regions, or whether fragments behave differently.  To do this, in a few locations around the world such as the Wog Wog Fragmentation Experiment in New South Wales, Australia, researchers have systematically created forest fragments of various sizes.  They can then ask a variety of questions comparing fragments vs. intact forest. For example,  how does species diversity, or how do processes such as competition, predation and mutualism differ in the two landscapes?

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Aerial photo of Wog Wog Fragmentation Experiment at the time the experiment began in 1987. Credit: Chris Margules.

Julian Resasco was working as a postdoctoral associate in Kendi Davies’ lab at the University of Colorado on a study that looked at changes in invertebrate communities in response to fragmentation at Wog Wog. Beginning in 1985, researchers had set up a network of pitfall traps, which are cups that are buried with their tops level to the ground, so that any careless organism that wanders in will be trapped in the cup.  Some pale-flecked garden skinks, Lampropholis guichenoti, also had the misfortune to become entrapped and became subjects for the study. The invertebrates, and the 186 unfortunate skinks were preserved in alcohol and stored as part of the Australian National Wildlife Collection.

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Skink museum specimens at the Australian National Wildlife Collection. Credit: Julian Resasco.

Much later, Resasco arrived and began dissecting skink guts to analyze the prey items for a study that looked at how the skinks shifted prey consumption (their feeding niche) in response to fragmentation. While dissecting the skink guts, he noticed that some of the skinks had worms (nematodes) inside their guts.  These nematodes were relatively common among skinks from continuous eucalypt forests, rare among skinks from eucalypt fragments, and absent from skinks in the cleared, pine plantation matrix.

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Top. The study area in southeast Australia, showing location of continuous forest, forest fragments and surrounding matrix.  Dots indicate locations of pitfall traps. The matrix was planted in pine seedlings soon after fragmentation.  Bottom. The pale-flecked garden sunskink Lampropholis guichenotti. Credit: Jules Farquar

As it turned out, the nematode was a new species, which Resasco and a colleague (Hugh Jones) named Hedruris wogwogensis. Nematodes in the genus Hedruris use crustaceans as intermediate hosts, which alerted Resasco and his colleagues that the terrestrial amphipod Arcitalitrus sylvaticus, which was very common in the pitfall traps, was probably an important intermediate host.  When amphipods from pitfall traps were examined microscopically, a small portion of them were infected with Hedruris wogwogensis. The researchers concluded that amphipods became infected when they ate plants that harbored nematode eggs or young nematodes, which then developed in amphipod guts, and were passed on to skinks that ate the amphipods.  Thus somewhat inadvertently, one aspect of the study transitioned into the question of how fragmentation can influence the transmission of parasites.

After concluding their skink dissections, Resasco and his colleagues discovered that skinks in continuous forest had five times the infection rate as did skinks in fragmented forest.  In addition, no skinks collected in the matrix were infected. Infected skinks harbored a similar number of nematodes, whether they lived in continuous forest or fragments (see the Table below). Lastly, amphipods were considerably more common in skink guts and pitfall traps from continuous forest, less so in fragments, and least in the matrix.

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Summary of data collected by Resasco and his colleagues. Nematode intensity is the mean number of nematodes per infected skink. Nematode abundance is the mean number of nematodes per skink (infected and uninfected). 

The researchers put these findings together in a structural equation model.  The boxes in the model below represent the variables, while the numbers in smaller boxes over the arrows are the regression coefficients, with larger positive numbers (in black) indicating stronger positive effects, and larger negative numbers (in red) indicating stronger negative effects.  The model revealed three important findings.  First, habitat fragmentation strongly reduced amphipod abundance.  High amphipod abundance was associated with high nematode abundance (that is the +0.20 in the model), so lower amphipod abundance from fragmentation reduced nematode abundance. Second, habitat fragmentation positively affected skink abundance – more skinks were captured in fragments than in intact forest, but this increase had no effect on nematode abundance in skinks.  Finally, note the direct arrows connecting “Fragmentation” to “Log nematode abundance in skinks”.  This indicates that other variables (beside amphipod abundance) are reducing infection rates in skinks that live in fragments and the matrix.

ResascoFig3

Structural equation model showing effects of fragmentation on nematode infection in skinks. Amphipods are the intermediate host.  Black arrows indicate significant positive effects of one variable on the other, while red arrows indicate significant negative effects. Solid lines represent fragments compared to controls and dashed lines represent the matrix compared to controls. Thicker lines are stronger effects.

At this point, we still have an incomplete understanding of the system.  We know that fragmentation reduces amphipods, which require a moist and shaded environment to thrive.  Reduced amphipod abundance leads to lower nematode infection rates in skinks.  But we know that other variables are important as well; perhaps nematodes survive more poorly in fragment and matrix soils. Interestingly, pine trees were planted in the matrix and are beginning to mature and shade out the matrix environment. Amphipod abundances are on the rise, so the researchers predict that nematode infection rates will begin to increase accordingly.  Those studies have begun.

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Eucalypt forest canopy at Wog Wog. Credit: Julian Resasco.

Looking at the bigger picture, it is clear that fragmentation may decrease (as in this study) or increase the abundance of an intermediate host. As an example of fragmentation increasing intermediate host abundance, the researchers describe a study in which fragmentation increased the abundance of the white footed mouse, an intermediate host for black-legged ticks (that host the bacteria that causes Lyme disease). We need to unravel the connections between landscape factors and the various species they influence, so we can begin to understand how human changes to the landscape can influence the transmission of diseases.

note: the paper that describes this research is from the journal Ecology. The reference is Resasco, J.,  Bitters, M. E.,  Cunningham, S. A.,  Jones, H. I.,  McKenzie, V. J., and  Davies, K. F..  2019. Experimental habitat fragmentation disrupts nematode infections in Australian skinks. Ecology  100( 1):e02547. 10.1002/ecy.2547. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2019 by the Ecological Society of America. All rights reserved.

The complex life of the pea

As a behavioral ecologist, I’m spending a surprising amount of time reading and writing about plants these days.  It turns out that plants are amazingly complex and interactive; you just need to know where and how to look.  Today we will discuss the humble pea plant, how it is infected with a virus that is carried by an aphid that sucks its xylem, and how a herbivorous weevil fits into the whole system.   The virus is the pea enation mosaic virus (PEMV), which causes pea leaves to yellow and wither, and also creates enations (scaly tissue) to develop on a leaf’s undersides. The aphid vector (a vector is the organism that carries a disease) is Acrythosiphon pisum, while the herbivorous weevil is Sitona lineatus.

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Pea plant infected with pea enation mosaic virus. Credit Paul Chisholm.

David Crowder has been studying plant/insect interactions for many years, and knew that most researchers who studied interactions between plants and insect vectors focused their attention on the plants, insects and the disease, but did not consider how other species in the community might affect this relationship. Paul Chisholm was a PhD student in Crowder’s lab; and working with two other researchers, they explored whether S. lineatus, an abundant herbivore of peas, influenced viral transmission.  They expected that if the pea was first attacked by the weevil, it might be more susceptible to subsequent viral infection.  Conversely, if the pea was infected by the virus, it might be less able to chemically defend itself against subsequent herbivory by the weevil.

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(Left) Pea aphids. Credit: Shipher Wu under a Creative Commons Attribution 4.0 International Public License. (Right) Very adult pea leaf weevils, Sitona lineatus. Credit: Gail Hampshire under a Creative Commons Attribution 4.0 International Public License

It is easy to visually distinguish between PEMV-infected and uninfected plants, so the researchers could assess whether infected plants tended to suffer more defoliation by weevils than did uninfected plants.  They visited 12 different fields in northern Washington and western Idaho, USA, and measured defoliation by counting the number of feeding notches left by the weevils after feeding on 3 – 10 infected pea plants and an equal number of nearby uninfected plants on each field (more feeding notches = more defoliation).  They discovered that PEMV-infected plants tended to suffer substantially higher herbivory than did uninfected plants

ChisholmFig1A

Herbivory (as measured by number of feeding notches) caused by weevils on paired uninfected (black bars) and PEMV-infected (blue bars) pea plants sampled from 12 different fields. Error bars for all figures represent 1 SE.

Given the correlation between herbivory and infection, Chisholm and his colleagues then explored whether (1) the weevil preferred to feed on infected plants, and/or whether (2) infective aphids preferred to feed on plants that had been damaged by herbivorous weevils.  Both questions were answered with behavioral choice assays done in a greenhouse. First, the researchers created two groups of pea plants.  The first group, sham infected, were fed on by aphids not carrying PEMV for 48 hours, while the second group of plants were fed on by PEMV-infected aphids for the same duration. Aphids were removed and PEMV infection developed within 15 days in the PEMV infected plants.  The researchers then set up one sham infected and one PEMV-infected plant in a test cage, and released two weevils equidistant from the plants, allowing them to feed for six days.  They discovered that aphids fed much more voraciously on the PEMV-infected plants.

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Mean leaf area removed from sham infected and PEMV-infected pea plants.

For the second experiment, the researchers again created two types of plants: undamaged – no herbivory, and damaged – 48 hours of weevil herbivory.  Weevils were then removed, and one leaf from each plant was connected to each end of a tube, while still attached to each plant.

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Experimental setup with tube attached to one leaf of each experimental plant.  Aphids were introduced into the central tube. Credit Paul Chisholm. 

The researchers added either 25 infectious or 25 non-infectious aphids, and allowed them 3 hours to choose a leaf.  PEMV-infected aphids preferred damaged leaves, while uninfected aphids showed no preference.

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PEMV-infected aphid preference for undamaged (no herbivory) or damaged (weevil herbivory) leaves.

Chisholm and his colleagues then turned their attention to whether weevil herbivory made pea plants more susceptible to PEMV infection.  In one experiment they allowed PEMV-infected aphids to feed on plants for 3 days, and then introduced 0, 1 or 3 weevils who fed on the plants for another 6 days.  They used a protein assay to estimate the PEMV-titer (concentration) of each plant and discovered that the plants that were exposed to greatest herbivory had the highest PEMV titer (see graph below).  In a second experiment the researchers allowed weevil herbivory before adding the aphids, and found no effect of prior herbivory on PEMV titer.

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Relative PEMV-titer of infected leaves after they were subjected to herbivory by zero, one or three weevils for six days. different letters above bars indicate significant differences between treatments.

What causes these plant responses to challenges by PEMV and weevils?  The researchers discovered that levels of three important plant hormones increased either in response to PEMV infection, weevil herbivory or both.  At this point it is not clear how these different hormone levels interact to bring about the changes we’ve described.

The researchers conclude that weevil behavior has a profound influence on the interactions between aphids, the viruses they carry and the pea plants they feed on (and infect).  The weevil is not a vector for the virus, yet it affects the virus directly by altering plant behavior and physiology and indirectly by altering the behavior of the vector (the aphids).  PEMV outbreaks are more likely when weevils are abundant, as aphids prefer damaged plants, and feeding by weevils increased the PEMV titer in infected plants.  Crowder argues that interactions in which a non-vector species influences the relationship between a host and its vector (and the pathogen it carries) are probably extraordinarily common in crop systems.  So if we want to understand crop susceptibility to pathogens we need to cast a broad net and consider both the direct and indirect effects of a community of species that can influence how the crop responds to infection.

note: the paper that describes this research is from the journal Ecology. The reference is Chisholm, P. J., Sertsuvalkul, N. , Casteel, C. L. and Crowder, D. W. (2018), Reciprocal plant‐mediated interactions between a virus and a non‐vector herbivore. Ecology, 99: 2139-2144. doi:10.1002/ecy.2449. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2018 by the Ecological Society of America. All rights reserved.

Beautiful buds beset bumblebees with bad bugs

Sexual liaisons can be difficult to achieve without some type of purposeful motion.  Flowering plants, which are rooted to the ground, are particularly challenged to bring the male close enough to the female to have sex.  One awesome adaptation is pollen, technically the male gametophyte –  or gamete (sperm)-generating plant. These tiny males get to females either by floating through the air, or by being transferred by animal pollinators such as bees. Plants can lure bees to their flowers by producing nectar – a sugar rich fluid – which bees lap up and use as a carbohydrate source.  While nectaring, bees also collect pollen, either intentionally or inadvertently, which provides them with essential proteins. When bees travel to the next flower, they may inadvertently drop some of their pollen load near the female gametophyte – in this case a tiny egg-generating plant (though tiny, the female gametophyte is considerably larger than is the male gametophyte).  We call this process of “tiny boy meets tiny girl” pollination. Once the two gametophytes meet, the pollen produces one or more sperm, which it uses to fertilize an egg within the female gametophyte.  There is more to it, but this will hopefully clarify the difference between pollination and fertilization.

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Bumblebee forages on beebalm, Monarda didyma. Credit: Jonathan Giacomini.

All of this business takes place within the friendly confines of the flower.  The same flower may be visited by many different bees of many different species. While feeding, bees carry on other bodily functions, including defecation.  They are not careful about where they defecate; consequently a bee’s breakfast might also include feces from a previous bee visitor. Bumblebee (Bombus impatiens) feces carries many disease organisms, including the gut parasite Crithidia bombi, which can reduce learning, decrease colony reproduction and impair a queen’s ability to found new colonies. Because pollinators are so critical in ecosystems, Lynn Adler and her colleagues wondered whether certain types of flowers were better vectors for harboring and transmitting Crithidia bombi to other bumblebees.

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Bumblebee forages on the snapdragon, Antirrhinum majus. Credit: Jonathan Giacomini.

The researchers chose 14 different flowering plant species, allowing uninfected bumblebees to forage on inflorescences (clusters of flowers) inoculated with a measured amount of Crithidia bombi parasites.  The bees were reared for seven days after exposure, and then were assessed for whether they had picked up the infection from their foraging experience, and if so, how intense the infection was. The researchers dissected each tested bee and counted the number of Crithidia cells within the gut.

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Researcher conducts foraging trial with Lobelia siphilitica inflorescence. Credit: Jonathan Giacomini.

Adler and her colleagues discovered that some plant species caused a much higher pathogen count (mean number of infected cells in the bee gut) than did other plant species.  For example bees that foraged on Asclepias incarnata (ASC) had four times as many pathogens, on average, than did bees that foraged on Digitalis purpurea (DIG) (top graph below). Bees foraging on Asclepias were much more likely to get infected (had greater susceptibility) than bees that foraged on several other species, most notably Linaria vulgaris (LIN) and Eupatorium perfoliatum (EUP) (middle graph). Lastly, if we limit our consideration to infected bees, the mean intensity of the infection was much greater for bees foraging on some species, such as Asclepias and Monarda didyma (MON) than on others, such as Digitalis and Antirrhinum majus (ANT) (bottom graph).

AdlerFig1

(Top graph) Mean number of Crithidia (2 microliter gut sample) hosted by bees after foraging on one of 14 different flowering plant species. This graph includes both infected and uninfected bees. (Middle graph) Susceptibility – the proportion of bees infected – after foraging trials on different plant species. (Bottom graph) Intensity of infection – Mean number of Crithidia for infected bees only. The capital letters below the graph are the first three letters of the plant genus. Numbers in bars are sample size.  Error bars indicate 1 standard error.

It would be impossible to repeat this experiment on the 369,000 known species of flowering plants (with many more still to be identified).  So Adler and her colleagues really wanted to know whether there were some flower characteristics or traits associated with plant species that served as the best vectors of disease.  The researchers measured and counted variables associated with the flowers, such as the size and shape of the corolla, the number of open flowers and the number of reproductive structures (flowers, flower buds and fruits) per inflorescence.

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Flower traits measured by Adler and colleagues (example for blue lobelia, Lobelia siphilitica). CL is corolla length. CW is corolla width. PL is petal length. PW is petal width. Credit: Melissa Ha.

The researchers also wanted to know whether any variables associated with the bees, such as bee size and bee behavior, would predict how likely it was that a bee would get infected.  Surprisingly, the number of reproductive structures per inflorescence stood out as the most important variable. In addition, smaller bees were somewhat more likely to get infected than larger bees, and bees that foraged for a longer time period were more prone to infection.

AdlerFig2

Mean susceptibility of bees to Crithidia infection after foraging on 14 different flowering plant species, in relation to the number of reproductive structures (flowers, buds and fruits) per inflorescence.

These findings are both surprising and exciting. Adler and her colleagues were surprised to find such big differences in the ability of plant species to transmit disease.  In addition, they were puzzled about the importance of number of reproductive structures per inflorescence.  At this point, they don’t have a favorite hypothesis for its overriding importance, speculating that some unmeasured aspect of floral architecture influencing disease transmission might be related to the number of reproductive structures per inflorescence.

Penstemondigitalis

Bumblebee forages on Penstemon digitalis. In addition to the open flowers, note the large number of unopened buds.  Each of these counted as a reproductive structure for the graph above. Credit: Jonathan Giacomini.

The world is losing pollinators at a rapid rate, and there are concerns that if present trends continue, there may not be enough pollinators to pollinate flowers of some of our most important food crops. Disease is implicated in many of these declines, so it behooves us to understand how plants can serve as vectors of diseases that affect pollinators. Identifying floral traits that influence disease transmission could guide the creation of pollinator-friendly habitats within plant communities, and help to maintain diverse pollinator communities within the world’s ecosystems.

note: the paper that describes this research is from the journal Ecology. The reference is Adler, L. S., Michaud, K. M., Ellner, S. P., McArt, S. H., Stevenson, P. C. and Irwin, R. E. (2018), Disease where you dine: plant species and floral traits associated with pathogen transmission in bumble bees. Ecology, 99: 2535-2545. doi:10.1002/ecy.2503. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2018 by the Ecological Society of America. All rights reserved.

A tale of too many ticks

Many people I know have had the unfortunate experience of a warm season bout with the following symptoms: fatigue, achy joints, headaches, dizziness, fever and night sweats. Some of these symptoms are part of the daily experience of someone who has reached my level of maturity (okay – age), but in combination they suggest infection by the bacterium Borrelia burgdorferi that is transmitted by Ixodes ticks, and causes Lyme disease.  So three years ago, when I experienced those symptoms, I went off to my doctor (after some prodding by my wife) who immediately prescribed a regime of antibiotics that is effective against Lyme. My region of the United States (southern Appalachians) is a center of Lyme infection, so the diagnosis was pretty easy, and thankfully, the antibiotics were effective.

Lyme 2016

Each dot represents one verified case of Lyme disease in the United States in 2016.  I live in the dark blotch in western Virginia.

Richard Ostfeld began investigating the ecology of Lyme disease as a result of a chance event.  About 26 years ago Ostfeld started a new project that explored how white-footed mice may control populations of the invasive forest pest, the gypsy moth.  Mice eat the moth pupae for a couple of weeks in mid-summer.  When he started trapping at the Cary Institute of Ecosystem Studies in New York, he was amazed to see tremendous burdens of larval blacklegged ticks attached to the white-footed mouse (Peromyscus leucopus).  At the field site there was a boom one year and a crash the following year in acorn abundance, which was followed, with a one year time lag, by a boom and a crash in mouse abundance.  Ostfeld wondered what role fluctuating mouse abundance might play in human risk of exposure to tick-borne disease, and how factors affecting mouse abundance might influence the system.

Mouse with 52 larval ticks closeup

This unfortunate mouse harbors 52 larval ticks. Credit: Ostfeld lab at Cary Institute.

Ixodes ticks have a two-year lifecycle, with eggs laid in the spring, six-legged larvae hatching out in summer, getting one blood meal from a rodent or bird host, and emerging as eight-legged nymphs the following spring.  Nymphs find themselves a second host in spring or summer, from which they suck more blood and ultimately metamorphose into adults during the fall season. Adults seek large mammalian hosts, such as white-tailed deer; females feed on the deer, mate with males (who generally don’t feed), lay eggs and die, usually the following spring.

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Human finger with (left to right) adult female, adult male, nymph and larval ticks. Credit: Ostfeld lab at Cary Institute.

What makes these ticks tick? Ostfeld, Taal Levi and their colleagues knew from previous work that biotic factors such as mice, acorns and deer were likely to be important, but that predators on mice might also play a role.  It also seemed likely that abiotic factors such as temperature, moisture and snow cover could also be important.  For 19 years, the researchers systematically collected data related to these factors from six large (2.25 ha) field plots at the Cary Institute. They used standard capture-mark-recapture methods to estimate rodent abundance, and data from the Cary Institute’s bow-hunting program to estimate deer abundance. They monitored the presence of carnivores with LED camera traps that were baited with cans of cat food.

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Coyote captured on LED camera. Credit: Ostfeld lab at Cary Institute.

Lastly, the researchers needed to estimate tick abundance and the percentage of ticks that were infected with the Lyme disease bacterium, Borrelia burgdorferi.  To estimate tick abundance, the researchers systematically dragged 1-m2 white corduroy drag cloths across each plot every three weeks throughout the times of peak tick abundance. Ticks that are searching for a host (known as questing ticks) will grab onto the drag cloth, so in essence, drag cloth censuses provides an estimate of ticks that have not had a blood meal.  Tick infection rates were estimated by subjecting an average of 378 ticks per year to molecular analyses (initially direct immunofluorescence assay, and later quantitative PCR).

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Researchers sample for questing ticks by dragging a cloth across the forest floor. Credit: Ostfeld lab at Cary Institute.

Across the 19 years of the study, the density of infected nymphs was strongly correlated to mouse density the previous year, and weakly correlated with deer density two years previously.  Recall the details of the two-year life cycle; it takes a year to go from tick larva to nymph, and a second year to go from nymph to adult to eggs, so these time lags are not surprising. What is surprising is that the density of infected nymphs is negatively correlated with mouse density in the current year and with winter warmth.

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Density of infected ticks (x 100) per 100 m2 in relation to (far left) mouse density (per 2.25 ha) in the previous year, (2nd from left) mouse density in the current year, (2nd from right) winter warmth, and (far right) deer density two years previous.  Different color dots represent the six different field sites.

Ostfeld and his colleagues explain that during years of high mouse abundance, many nymphs were attached to rodent hosts, or had already had a blood meal, and thus were not collected on drag cloths. By using the abundant rodents as their secondary hosts, rather than people, high rodent abundance is actually decreasing the probability that the nymphs will infect a human. Infection of humans by adult ticks is less common than infection of humans by nymphs, because many nymphs don’t survive to adulthood, male adults do not feed, and adults are more likely than nymphs to be spotted and removed, due to their larger size.

Nymphal infection prevalence (NIP) measures the fraction or proportion of the nymphs within the community that are actually carrying the bacterium.  From a human perspective, a high NIP indicates that a tick bite is relatively likely to lead to Lyme disease. There was only a small relationship between rodent density the previous year and NIP, so the researchers decided to see if the composition of the predator community might influence NIP. They reasoned that foxes and bobcats were known to be major mouse predators, so by eating mice, they would be removing infected ticks from the population.  Raccoons and opossums have a double effect; they eat mice – though not as many as do foxes and bobcats.  In addition they are dilution hosts, in that they provide blood for nymphs, but do not serve as a vector to the bacterium.  Thus a community with all four of these predators was expected to reduce NIP. The effect of coyotes were more complex because they eat mice, which should reduce NIP, but they also eat or scare away other predators, such as foxes and opossums, which could increase NIP.

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Effect size of predator community structure on nymphal infection prevalence (NIP).  Top row animals are (left to right) fox, raccoon, opossum and bobcat.  Communities with coyotes (bottom five communities) tend to have higher NIP, particularly if they lack other predators.

In general, more diverse predator communities tended to have lower nymphal infection prevalence.  Communities with coyotes that also lacked some of the other predators tended to have the highest NIP values.

Ostfeld and his colleagues were surprised to discover that a warm and dry winter and spring season tended to depress tick abundance, while cold winters had little effect. Presumably, emerging nymphs can dry out under warm, dry conditions. The researchers were also surprised to observe the strong decrease in tick abundance associated with high mouse abundance in the current year. It is not uncommon for a boom in mouse abundance one year to be followed by a mouse population crash the next year.  When that occurs, there will be a large number of questing nymphs lurking in the vegetation for hosts, and thus the potential for a major outbreak of Lyme disease.

note: the paper that describes this research is from the journal Ecology. The reference is Ostfeld, R. S., Levi, T. , Keesing, F. , Oggenfuss, K. and Canham, C. D. (2018), Tick‐borne disease risk in a forest food web. Ecology, 99: 1562-1573. doi:10.1002/ecy.2386. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2018 by the Ecological Society of America. All rights reserved.

Fungi attack plants – insects respond!

As she was preparing to do her dissertation research on the interactions between the Asian chestnut gall wasp, the chestnut blight disease and the European chestnut, Pilar Fernandez-Conradi read a lot of papers about fungal-insect-plant interactions.  She was impressed by the diversity of outcomes that resulted when plants were attacked by both insects and fungi, and wondered whether there were any generalities to glean from these research findings. She asked two basic questions. First, if a plant is infected by a fungus, is it more or less likely to be attacked by insects than is an uninfected plant?  Second, does an insect that attacks a fungal-infected plant perform better or worse than it would have on an uninfected plant?

D. Kuriphilus+Gnomo

Three-way interaction between the chestnut tree, the chestnut gall wasp, and the fungus Gnomopsis castanea. Female wasps induce the plant to create galls, which house developing larvae. Green globular galls (with a hint of rose-color) have not been infected by a fungus, while the very dark tissue is the the remains of a gall that was attacked by the fungus. Credit: Pilar Fernandez-Conradi.

Fernandez-Conradi and her colleagues thought they were more likely to discover a negative effect of fungal infection on the preference and performance of herbivorous insects.  Several studies had shown that nutrient quantity and quality of host plants is reduced by fungal infection, so it makes sense that insects would avoid infected plants.  But the researchers also knew that fungal infection can, in some cases, actually increase the sugar concentration of some plants, so insects might prefer those plants and also develop more rapidly on them. In addition, fungal infection can induce chemical defenses in plants that might make them less palatable to insects, or alternatively, fungal infection could weaken plant defenses making them more palatable to attacking insects.

To resolve this conundrum, Fernandez-Conradi and her colleagues did a meta-analysis, of the existing literature, identifying 1113 case studies based on 101 papers.  To be considered in the meta-analysis, all of the studies had to meet the following criteria: (1) report insect preference or performance on fungal-infected vs. uninfected plants, (2) report the Genus or species of the plant, fungus and insect, (3) report the mean response and a measure of variation (standard error, standard deviation or variance). The measure of variation allows researchers to calculate the effect size, which calculates the strength of the relationship that is being explored. The researchers found that, in general, insects avoid and perform worse on infected plants than they do on uninfected plants.

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Mean effect size of insect preference and performance (combined) in response to fungal infection infection.  Error bars are 95% confidence intervals (CIs).  In this graph, and the next two graphs as well, a solid data point indicates a statistically significant effect.  You can also visually test for statistical significance by noting that the error bar does not cross the dashed vertical line that represents no effect (at the 0.0 value). The negative value indicates that insects respond negatively to fungal infection.

Fernandez-Conradi and her colleagues then broke down the data to explore several questions in more detail. For example, they wondered if the type of fungus mattered.  For their meta-analysis, they considered three types of fungi with different lifestyles: (1) biotrophic pathogens that develop on and extract nutrients from living plant tissues, (2) necrotrophic pathogens that secrete enzymes that kill plant cells, so they can develop and feed on the dead tissue, and (3) endophytes that live inside living plant tissue without causing visible disease symptoms.

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Effect of fungus lifestyle on insect performance.  k = the number of studies.  Different letters to the right of CIs indicate significant differences among the variables (lifestyles).

The meta-analysis showed an important fungus-lifestyle effect (see the graph to your left).  Insect performance was strongly reduced in biotrophic pathogens and endophytes, but not in necrotrophic pathogens, where insect performance actually improved slightly (but not significantly). The researchers point out that biotrophic pathogens and endophytes both develop in living plant tissues, while necrotrophic pathogens release cell-wall degrading enzymes which can cause the plant to release sugars and other nutrients.  These nutrients obviously benefit the fungus, but can additionally benefit insects that feed on the plants.

To further explore this lifestyle effect, Fernandez-Conradi and her colleagues broke down insect response into performance and preference, focusing on chewing insects, for which there were the most data. Insects showed lower performance on and reduced preference (i.e. increased avoidance) for plants infected with biotrophic pathogens. They also performed equally poorly on endophyte-infected plants, but did not avoid endophyte-infected plants (see graph below). This was surprising since you would expect natural selection to favor insects that can choose the best plants to feed on. The problem for insects may be that endophytic infection is basically symptomless, so the insects may, in many cases, be unable to tell that the plant is infected, and likely to be less nutritionally rewarding.

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Effects of fungal infection on preference and performance of chewing insects.  k = the number of studies.  Different letters to the right of CIs indicate significant differences among the variables. Variables that share one letter have similar effect sizes.

Many ecological studies deal with two interacting species: a predator and a prey, or a parasite and its host.  Fernandez-Conradi and her colleagues remind us that though two-species interactions are much easier to study, many important real-world interactions involve three or more species. Their meta-analysis highlights that plant infection by pathogenic and endophytic fungi reduces the performance and preference of insects that feed on these plants. But fungus lifestyle plays an important role, and may have different effects on performance and preference. Their meta-analysis also suggests other related avenues for research.  For example, how are plant-fungus-insect interactions modified by other species, such as viruses, bacteria and parasitoids (an animal that lives on or inside an insect, and feeds on its tissues)? Or, what are the underlying molecular (hormonal) mechanisms that determine the response of the plant to fungal infection, and to insect attack?  Finally, how does time influence both plant and insect response?  If a plant is recently infected by a fungus, does it have a different effect on insect performance and preference than does a plant that has suffered from chronic infection.  There are very few data on these (and other) questions, but they are more likely to get pursued now that some basic relationships have been uncovered.

note: the paper that describes this research is from the journal Ecology. The reference is Fernandez‐Conradi, P., Jactel, H., Robin, C., Tack, A.J. and Castagneyrol, B., 2018. Fungi reduce preference and performance of insect herbivores on challenged plants. Ecology, 99(2), pp.300-311. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2018 by the Ecological Society of America. All rights reserved.