Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2018 Aug 1;99(9):1999–2009. doi: 10.1002/ecy.2431

Disentangling nutritional pathways linking leafcutter ants and their co‐evolved fungal symbionts using stable isotopes

Jonathan Z Shik 1,2,, Winnie Rytter 1, Xavier Arnan 3, Anders Michelsen 4
PMCID: PMC6174977  PMID: 30067862

Abstract

Leafcutter ants are the ultimate insect superorganisms, with up to millions of physiologically specialized workers cooperating to cut and transport vegetation and then convert it into compost used to cultivate co‐evolved fungi, domesticated over millions of years. We tested hypotheses about the nutrient‐processing dynamics governing this functional integration, tracing 15N‐ and 13C‐enriched substrates through colonies of the leafcutter ant Atta colombica. Our results highlight striking performance efficiencies, including rapid conversion (within 2 d) of harvested nutrients into edible fungal tissue (swollen hyphal tips called gongylidia) in the center of fungus gardens, while also highlighting that much of each colony's foraging effort resulted in substrate placed directly in the trash. We also find nutrient‐specific processing dynamics both within and across layers of the fungus garden, and in ant consumers. Larvae exhibited higher overall levels of 15N and 13C enrichment than adult workers, supporting that the majority of fungal productivity is allocated to colony growth. Foragers assimilated 13C‐labeled glucose during its ingestion, but required several days to metabolically process ingested 15N‐labeled ammonium nitrate. This processing timeline helps resolve a 40‐yr old hypothesis, that foragers (but apparently not gardeners or larvae) bypass their fungal crops to directly assimilate some of the nutrients they ingest outside the nest. Tracing these nutritional pathways with stable isotopes helps visualize how physiological integration within symbiotic networks gives rise to the ecologically dominant herbivory of leafcutter ants in habitats ranging from Argentina to the southern United States.

Keywords: 13C, 15N, attine ants, carbon and nitrogen isotopes, nutritional ecology, tropical rainforest

Introduction

Social insects channel vast amounts of resources through their colonies at a global scale (Brian 1978, Del Toro et al. 2012, Griffiths et al. 2018). However, while ant foraging is a conspicuous sight in most terrestrial habitats (Lanan 2014), the fates of resources inside ant nests are rarely observed (Tschinkel 1991, 2011). Moreover, while the basic details of colony growth are well known, from queen‐laid eggs, across several larval instars, pupation, and the adult worker life cycle (Oster and Wilson 1978), the underlying nutrient processing dynamics are described for few of the >14,000 extant ant species. Dietary tracer experiments using foods labeled with heavy isotopes of carbon, phosphorus and nitrogen have enabled researchers to trace the flow of labeled resources as they flow among colony members inside nests where allocation dynamics are difficult to directly observe (e.g., Howard and Tschinkel 1981, Feldhaar et al. 2010, Hölldobler and Kwapich 2017).

Radioactive tracers were the primary tool in isotopic research about resource allocation within colonies for over 60 yr (Wilson and Eisner 1957, Golley and Gentry 1964, Markin 1970, Sorensen and Vinson 1981), but stable isotope natural abundance studies of nitrogen (15N) and carbon (13C) are now commonly used to infer dietary habits when foraging dynamics occur out of sight (Davidson et al. 2003), when species are either rare (Jacquemin et al. 2014) or are members of diverse communities (e.g., Blüthgen et al. 2003, Smith and Suarez 2010, Penick et al. 2015), and when colonies are distributed across large spatial (Tillberg et al. 2007, Wilder et al. 2011) and temporal scales (Mooney and Tillberg 2005, Yang 2006, Roeder and Kaspari 2017). Stable isotope enrichment experiments also provide powerful tools for visualizing nutrient exchange among symbiotic partners (Kiers et al. 2011), making such experiments useful in ant ecology since ants often rely on nutrients derived from hemipterans (Shik et al. 2014a), plants (Sagers et al. 2000, Fischer et al. 2005, Pinkalski et al. 2018), and microbes (Feldhaar et al. 2007, Pinto‐Tomás et al. 2009, Sapountzis et al. 2015).

Ecology of farming productivity

Leafcutter ants of the genus Atta are ideally suited for isotopic experiments because they farm a co‐evolved fungal symbiont for food, harvesting fresh vegetation and using it to produce fungal crops in massive underground nests that can feed millions of workers (Hölldobler and Wilson 2010). Fungal symbionts are fully integrated parts of the leafcutter ant digestive system that begin to process harvested resources when gardener ants deposit mixtures of chewed vegetation and digestive enzymes on top of the fungus garden (Moller et al. 2011). Fungal symbionts (De Fine Licht et al. 2013), gardener ants (Quinlan and Cherrett 1979), and developing ant larvae (Erthal et al. 2007) then collectively convert this composted substrate into structural fungal hypha and edible gongylidia, swollen hyphal tips that concentrate nutrients and grow in bundles called staphyla (Martin et al. 1969, Quinlan and Cherrett 1979, Mueller et al. 2001, Schiøtt et al. 2010). We measured these production dynamics with novel sampling resolution, allowing foragers in laboratory colonies of A. colombica to harvest isotopically‐enriched substrate, and then traced two isotopically labeled compounds (13C‐enriched glucose and 15N‐enriched ammonium nitrate) through symbiotic networks across over 800 samples spanning 20 d. Below, we outline how this methodology enabled us to test hypotheses about nutrient integration through the fungus garden (across layers of hyphae, within edible tissues, and disposal in the trash), allocation among ant consumers (adult and immature castes), and processing within individual ants (transported or assimilated).

Based on the timing of isotopic enrichment within hyphae at vertical layers of fungus, we first tested a fungus layers hypothesis, previously inferred from patterns of enzyme activity in leafcutter fungus gardens of serial downward nutrient integration within the garden (Moller et al. 2011, De Fine Licht et al. 2013). A vertical processing dynamic implies an organizing principle whereby workers systematically deposit fresh vegetation at the top of the fungus garden to initiate its use in the cultivation process. We next compared enrichment across fungal tissues to test a fungus food hypothesis: nutrient integration is targeted towards food production (edible gongylidia) rather than biomass of the non‐differentiated hypha surrounding the gonyglidia. We further explored waste disposal dynamics, sampling trash piles to quantify overall processing rates of nutrients following their integration into the fungus garden. Since fungal cultivars grow best on specific nutritional blends (Shik et al. 2016), we tested a waste disposal hypothesis, that a potential mechanism of meeting their cultivar's nutritional needs is that ant farmers select specific nutrients from the composted substrate initially provided to their cultivars through nutrient‐specific disposal of harvested substrates.

Nutrient allocation

Transitioning from the fungal cultivar to the ant consumers, we next traced labeled compounds as they were ingested and allocated among physiologically specialized ant castes. Foraging ants are generally assumed to be maintained primarily by carbohydrates (Markin 1970, Sorensen and Vinson 1981), but they must forage to also satisfy nutritional requirements of non‐foraging nestmates, including larvae whose growth depends on protein acquisition (Dussutour and Simpson 2008a). Still, most nutrient allocation decisions may actually occur inside the nest, as ants regurgitate ingested liquids from specialized abdominal storage organs (hereafter ‘gasters’) and share them with nestmates (Cook and Davidson 2006). Thus, ingestion does not guarantee assimilation in ants, and we hypothesized that carbohydrates would be preferentially retained by adult workers and proteins would be shunted through the fungus garden and towards developing larvae.

We tested this allocation hypothesis by comparing isotope enrichment of two types of nutrients among ant castes: a carbohydrate (13C‐enriched glucose), and a source of the nitrogen used to build proteins (15N‐enriched ammonium nitrate). We tested the prediction among ant consumers that adult workers (foragers and gardeners) have higher mean 13C values and developing brood (larvae and pupae) have higher mean 15N values. We then compared enrichment timelines across castes to test whether garden‐inhabiting castes (gardeners and larvae) assimilate nutrients received directly from returning foragers or only later, ostensibly after they had been processed through the fungus garden.

Nutrient processing

Like microbial symbionts of other insects (e.g., bees, Engel et al. 2012, termites, Poulsen et al. 2014), fungal cultivars and their associated bacteria convert difficult to digest compounds (e.g., plant cellulose, Moreira‐Soto et al. 2017) and inaccessible molecules (e.g., atmospheric N2, Pinto‐Tomás et al. 2009) into metabolically useful nutrients for their leafcutter ant hosts. Despite these derived symbiont processing services, adult leafcutter ants are thought to ingest plant sap while cutting leaves outside the nest (Littledyke and Cherrett 1976), and bypass fungi for 90% of their energy and nutrient requirements (Quinlan and Cherrett 1979, Bass and Cherrett 1995).

We propose the function of such plant sap foraging remains unclear, since leafcutters produce their fungal crops by vectoring ingested liquids from their gasters to fungal cultivars in fecal droplets (Martin and Martin 1970, Schiøtt et al. 2010, De Fine Licht et al. 2013). We tested two resource processing hypotheses about whether and when foraging leafcutter ants assimilate ‘wild caught’ resources, separating ant gasters prior to isotope analyses to distinguish between two types of processing dynamics: fungus‐first (ingested nutrients transported in the gaster) and forager‐first (ingested nutrients directly assimilated in head‐thorax tissue) (as per Tillberg et al. 2006, Feldhaar et al. 2010). We compared the timing of enrichment across ant tissues, assuming that simultaneous ingestion (gaster enrichment) and assimilation (head‐thorax enrichment) indicates forager‐first nutrient processing without intermediate processing by fungal cultivars. We then tested whether these processing dynamics depend on compound digestibility, with forager‐first processing of glucose (e.g., it can be directly used to fuel metabolic respiration or converted to glycogen and stored in fat body cells, Arrese and Soulages 2010), and fungus‐first processing of the less readily metabolized compound ammonium nitrate. Finally, we compared nutrient processing between foragers and gardeners, a non‐foraging caste we predicted would have greater reliance on fungus‐first resource acquisition.

Methods

Colonies of Atta colombica

We established queenless subcolonies (hereafter colonies) from five large queenright colonies of the leafcutting ant Atta colombica collected in Panama from 2009 to 2012 and maintained at the University of Copenhagen in a climate‐controlled room (25°C, 70% RH, minimal daylight). For four months prior to the experiment, colonies were fed leaves, apples, and rice three times per week (provided in small removable trays) and were housed under inverted beakers in open plastic nest boxes (38 × 28 cm) with fluon‐coated walls that remained connected via tygon tubing to the queenright nest chamber in the central nest box (Appendix S1). This was done in order to avoid isotopic contamination in the central nest box, and mimicked natural colonies where colonies typically have many nest chambers connected directly or indirectly to a central chamber containing the queen and can regulate the flow of resources and nestmates among chambers. Experimental colonies were separated from the central nestbox just prior to the start of the experiment. Examination of trash piles and fungus gardens during the experiment, and demographic analyses performed after the experiment indicated colonies experienced low worker mortality (i.e., few dead workers were found) and high fungus garden stability (i.e., colonies continuously produced new fungus) during the 20‐d isotopic sampling period (albeit with diminished larvae numbers by the end because colonies lacked queens), with (mean ± SE) 20.7 ± 5.3 g fungus (dry mass), 11,520 ± 2,401 workers, 131 ± 55 larvae, and 1,599 ± 423 pupae per colony (Appendix S2: Table S1).

Isotopically enriched diets

We provided five colonies with isotopically enriched diet and traced the single pulse of 13C and 15N enrichment from this foraging event through colonies over 20 d. We modified 1:3 and 3:1 protein:carbohydrate (P:C) agar‐based diets from Dussutour and Simpson (2008b) (with a 60 g/L protein plus carbohydrate dilution), to be enriched with 13C (D‐glucose: 13C6H12O6, Sigma‐Aldrich) and 15N (ammonium nitrate: 15NH4 15NO3, Sigma‐Aldrich). For detailed recipe information, see Appendices S1 and S2: Table S2. We used these diets as the means of isotopic enrichment because ants harvest a variety of plant‐based resources in nature, including plant nectar (Littledyke and Cherrett 1976) and fallen fruit (Evison and Ratnieks 2007), and because the diets gave us precise and replicable control over the amount of isotopic enrichment. Moreover, these diets enabled ants to successfully integrate the nutrients into their farming systems, with ants licking the diets and also cutting pieces and planting them on their gardens (Shik et al. 2016). Isotopic analyses of 13C and 15N (Atom Percent Excess, APE) values, see below) indicated enrichment for the 1:3 P:C diet of 1.9% 13C and 6.9% 15N, and enrichment values for the 3:1 P:C diet of 2.4% 13C and 4.2% 15N (see Appendices S1 and S2: Table S2 for details). These enrichment values were found, in pilot trials, to optimize isotope detection in colony components.

On Day 1 of the experiment, colonies were allowed to forage between diets with 1:3 and 3:1 P:C ratios for 24 h and select their own P:C intake target (Behmer 2009). Workers harvested substantial amounts of enriched diets (± SE): 46.5 (± 17.9)% of the initial weight and 0.64 (± 0.26) g dry mass of 1:3 P:C diet and 19.2 (± 11.0)% of the initial weight and 0.29 (± 0.16) g dry mass of 3:1 P:C diet (Appendix S2: Table S1). This initial diet harvest was measured for each colony and used as a covariate in subsequent statistical analyses of isotope enrichment. Following the Day 1 pulse, colonies were fed unenriched 1:3 and 3:1 P:C diets (Days 2–6) and bramble leaves (Days 7–20) whose 13C and 15N levels were at the natural abundance level (Appendix S1).

Sample collection

We sampled 5 colonies on the day before the isotopic pulse (Day 0, natural abundance), and again on days 1, 2, 4, 8, and 20 following the pulse (Appendix S1). Nests were fit with removable ‘collection windows’ enabling non‐disruptive sampling within the fungus garden (Fig. 1A). On each sampling day, we collected fungal hyphae (with gongylidia removed) from top, middle, and bottom layers of the garden (as per Moller et al. 2011), and collected gongylidia (packed in tiny 0.5 mm diameter) bundles called staphyla from the middle garden layer where they were most abundant (De Fine Licht et al. 2014). We removed trash piles at each feeding event and analyzed homogenized trash pile samples, when available, on each sampling day. We collected adult ants in two groups: foragers (large and medium‐sized workers collected outside the nest) and gardeners (small ants collected inside fungus chambers) (Wilson 1980, Forti et al. 2012). Prior to isotopic analyses, these ants were anesthetized at 4°C and divided into gaster and head‐thorax samples. We also collected larvae and pupae in the middle layer of fungus gardens where they were most abundant, analyzing whole bodies in single samples as they could not be readily separated into gaster and head‐thorax samples as in the adults. Overall, from each colony at each sampling event, we collected the following samples for isotopic analyses: foragers (n = 4) and gardeners (n = 2), larvae (n = 3), pupae (n = 3), fungal hypha at three layers (n = 3 per layer), fungal gongylidia (n = 1 in the middle layer), and trash pile (n = 2), to yield 900 planned isotopic samples (Appendices S1 and S2: Table S3), and 840 actual isotopic samples (Appendix S2: Table S4A, B).

Figure 1.

Figure 1

(A) The experimental setup used to determine that (B) Enrichment timelines generally support downward nutrient integration across layers of fungal hyphae, while also highlighting key nutrient‐specific processing dynamics. On Day 1, colonies were provided with nutritionally defined substrate enriched with known amounts of 15N (blue) and 13C (gold). Colonies cultivated their fungus inside inverted beakers, and samples were collected through a removable sampling window (dashed white outline) on days 0, 1, 2, 4, 8, and 20 after the isotopic initial pulse. Enrichment units (μg 15N and 13C/g ± SE) are relative to the natural abundance (measured on Day 0) per gram dry mass of sampled tissue. Tukey test results are only shown in panels with significant time effects, where significant differences (*P < 0.05, **P < 0.01, ***P < 0.001) indicate days differing significantly from day 0 (no significant differences existed within enrichment values differing from day 0).

Stable isotope analyses

Samples were dried at 60°C for ≥24 h, homogenized, weighed into tin capsules, and analyzed for 15N/14N and 13C/12C using a Eurovector CN analyzer (Pavia, Italy) coupled to an Isoprime (Cheadle Hulme, UK) mass spectrometer. Natural abundances of 15N and 13C provided a baseline for interpreting subsequent enrichment, and were determined from Day 0 samples using the equations provided below (Fischer et al. 2005, Fry 2006), where peach leaves (NIST RM 1547) were used as the internal spectrometry calibration standard for N and C (as per Brand et al. 2014), and where reference gas was calibrated against international standards IAEA C5, CH6, CH7, N1, N2 and USGS 25, 26, 32:

δ15N[vs.at‐air]=[(15N/14Nsample)/(15N/14Nstandard)1]×1,000
δ13C[vs.V‐PDB]=[(13C/12Csample)/(13C/12Cstandard)1]×1,000

We next calculated Atom Percent (at%) of 15N and 13C as the percentage of heavy isotope moles of N or C in a sample, and Atom Percent Excess (APE) as the at% 15N or 13C of enriched samples above the Day 0 natural abundance:

APE15N=at%15Nsampleat%15NNaturalabundance
APE13C=at%13Csampleat%13CNaturalabundance

For statistical analyses, we calculated excess μg 15N and μg 13C per gram dry mass of each sample (hereafter 15N and 13C) from the APE and the sample dry mass:

μg15N perg drymass1=APE×samplemass1×1,000
μg13C perg drymass1=APE×samplemass1×1,000

Statistical analyses

Ecology of farming productivity

Fungus layers: We performed a mixed model analysis using the lme function in the nlme package (Pinheiro et al. 2018) in R 3.2.4 (R Development Core Team 2016) to compare enrichment timelines of 15N and 13C (i.e., APE values) across layers of fungal hyphae where time (Day 0, 1, 2, 4, 8, 20; a categorical variable), nutrient (15N and 13C), layer (top, middle, bottom) and their interactions were fixed factors. Initial diet harvest was included as a covariate, as colonies varied in their Day 1 harvest of enriched diet (0.05 to 2.1 g dry mass; Appendix S2: Table S1). We controlled for temporal repeated measures (i.e., the same layer from a given colony was sampled across days) and spatially repeated measures (i.e., the same sample from a given layer and colony was analyzed for both 15N and 13C) by including as random factors sample ID nested within layer, which in turn was nested within colony ID. Fungus food: We compared nutrient integration in middle‐layer gongylidia with surrounding middle‐layer hyphae by performing a mixed model analysis where time, nutrient, tissue (hyphae, gongylidia) and their interactions were fixed factors, initial diet harvest was a covariate, and colony ID was a random factor. Since one gongylidia sample and three hyphal samples were collected per layer, colony and day, we analyzed mean hyphal enrichment values to generate a balanced model. Waste disposal: We used a mixed model to analyze trash‐pile samples for 15N and 13C enrichment, with time, nutrient, and their interaction as fixed factors, initial diet harvest as a covariate, and sample ID nested in colony ID as a random factor.

To facilitate direct statistical comparisons of 15N and 13C enrichment, we standardized the data prior to each analysis by calculating Z scores separately for 13C and 15N data. When significant differences existed among 15N and 13C enrichment (i.e., significant ‘nutrient’ main or interaction effects), we plotted observed nutrient means (± SE), as they generated similar temporal patterns as Z‐scores, and enabled comparison with other similar published results. Otherwise, we plotted the Z‐scores combining the means of 15N and 13C data. In all cases, we interpreted significant differences using posthoc Tukey tests.

Nutrient allocation

We compared 15N and 13C enrichment across adult ants and brood, performing mixed model analyses in SAS (V9.4, Proc GLIMMIX) with time (Day 1, 2, 4, 8, 20), nutrient, caste (forager, gardener, larva, pupae), and their interactions as fixed factors, initial diet harvest as a covariate, and caste nested in colony ID as a random factor. We analyzed adult ant head‐thorax tissue as the allocation hypothesis focused on assimilated nutrients, and analyzed Z‐scores, using posthoc Tukey tests to interpret significant differences among castes within sampling days.

Nutrient processing

We used a mixed model (proc GLIMMIX) testing for differences among tissues within ants over time. We performed separate analyses for 15N and 13C enrichment, with time, caste (forager, gardener), and tissue (gaster, head‐thorax) as fixed factors, and the random factors colony ID, time × colony ID, and individual ID nested in (time × colony ID). This analysis also modeled within‐subject tissue effects (gaster vs. head‐thorax) as a repeated measure for organs within individuals. Separate analyses for 15N and 13C enrichment were preferred for nutrient processing analyses, given the overall complexity of the model, and our focus on interpreting nutrient processing timelines within ants. To test for latency between ingestion (enrichment of gaster) and assimilation (enrichment of head‐thorax), we used post‐hoc Tukey tests to interpret significant differences within tissues across days and across tissues within sampling days.

Results

Ecology of farming productivity

Within minutes of placing diets inside nest boxes, foragers could be observed licking and cutting agar‐based substrates, and then carrying them back to their nests (Fig. 1A). This initial diet harvesting effort significantly influenced subsequent fungus enrichment levels (Table 1). Fungus layers: Nutrients exhibited distinct downward enrichment timelines within and across vertical layers of the fungus garden (Time × nutrient × layer interaction effects in Table 1, Fig. 1B). First, 15N trended upwards in both the top and middle layers on the day of harvest, becoming significantly enriched in the middle layer by day 2 and in the top layer by day 4. In contrast, 13C was directly integrated in the middle layer, where it became significantly enriched by the first day (Fig. 1B). Second, 15N levels remained steady in the middle layer over 20 d (Fig. 1B), while 13C became significantly depleted in the middle layer by Day 20 (Fig. 1B). Despite these middle layer depletion differences, neither isotope was detected at significant levels in the bottom layer over 20 d (Fig. 1B).

Table 1.

Statistical tests about the ecology of farming productivity, and about how leafcutter ant consumers allocate and process nutrients, based on an isotope enrichment feeding experiment

Test Source Num df Denom df F value P value
Fungus layers Intercept 1 236 0.00 0.985
Time 5 224 16.81 0.0001
Nutrient 1 236 0.00 1.000
Layer 2 8 6.90 0.018
Time × nutrient 5 236 11.33 0.0001
Time × layer 10 224 5.05 0.0001
Nutrient × layer 2 236 60.46 0.0001
Time × nutrient × layer 10 236 16.09 0.0001
Initial diet harvest 1 3 19.85 0.021
Fungus food Intercept 1 91 0.00 0.992
Time 5 91 7.81 0.0001
Nutrient 1 91 0.00 0.999
Tissue 1 91 18.27 0.0001
Time × nutrient 5 91 0.39 0.855
Time × tissue 5 91 2.40 0.043
Nutrient × tissue 1 91 1.99 0.162
Time × nutrient × tissue 5 91 0.39 0.855
Initial diet harvest 1 3 47.02 0.006
Waste disposal Intercept 1 73 0.00 0.965
Time 5 73 7.42 0.0001
Nutrient 1 73 0.00 1.000
Time × nutrient 5 73 0.03 0.999
Initial diet harvest 1 3 0.45 0.550
Nutrient allocation Time 4 64.4 9.93 0.0001
Nutrient 1 452 0.07 0.799
Caste 3 15 7.10 0.003
Time × nutrient 14 452 3.81 0.005
Time × caste 12 64.3 5.17 0.0001
Nutrient × caste 3 452 4.38 0.005
Time × nutrient × caste 12 452 1.31 0.207
Initial diet harvest 1 15 36.77 0.0001
Nutrient processing 15N Time 5 35.86 2.40 0.056
Caste 1 129.9 11.14 0.001
Tissue 1 147.2 30.83 0.0001
Time × caste 5 129.8 1.50 0.193
Time × tissue 5 147.2 2.69 0.024
Caste × tissue 1 147.2 6.65 0.011
Time × caste × tissue 5 147.2 1.49 0.196
13C Time 5 64 6.23 0.0001
Caste 1 139.9 15.76 0.0001
Tissue 1 176.1 35.90 0.0001
Time × caste 5 140 2.41 0.039
Time × tissue 5 176.1 3.32 0.007
Caste × tissue 1 176.1 0.32 0.575
Time × caste × tissue 5 176.1 0.58 0.719

Fungus layers: We compared enrichment timelines of 15N and 13C across vertical layers of fungal hypha, using a mixed model where time (categorical variable: Day 0, 1, 2, 4, 8, 20), nutrient (15N and 13C), and layer (top, middle, bottom) were fixed factors, initial diet harvest was a covariate, and sample ID nested within layer and then nested within colony ID were random factors. Fungus food: We compared enrichment in gongylidia relative to surrounding middle layer hypha, using a mixed model where time, nutrient, and tissue (hyphae, gongylidia), were fixed factors, initial diet harvest was a covariate and colony ID was a random factor. Waste disposal: We used a mixed model analysis comparing 15N and 13C enrichment in trash piles, with time, nutrition and their interaction as fixed factors, initial diet harves as a covariate, and sample nested in colony ID as a random factor. Nutrient allocation: We used a mixed model analysis comparing isotope enrichment across castes, with time (excluding Day 0), nutrient, caste (forager, gardener, larva, pupae) and their interactions as fixed factors, initial diet harvest as a covariate, and caste nested in colony ID as a random factor. Nutrient processing: We examined 15N and 13C enrichment within ants, using separate models for 15N and 13C with time, caste (forager, gardener), tissue (head‐thorax, gaster), and their interactions as fixed factors, and the random factors colony ID, Day × colony ID, and individual ID nested in (Day × colony ID). This analysis also included within‐subject tissue effects (gaster vs. head‐thorax), using a repeated statement for organs within individuals.

Fungus food: We detected rapid integration of nutrients into edible gongylidia in the middle layer within two days of its harvest (Time × tissue interaction effects in Table 1, Fig. 2). Gongylidia were also significantly enriched relative to surrounding structural hypha by the second day (Table 1), and at equal levels for 15N and 13C (Table 1), indicating targeted conversion of both nutrients towards edible fungal food (Fig. 2). Waste disposal: Waste disposal also occurred rapidly on day 1 (Time effects in Table 1), with trash piles becoming maximally enriched at similar levels for 15N and 13C (Fig. 3). This indicates that foragers did not distinguish between nutrients when delivering substantial amounts of harvested resources directly to the trash. By day 20, we detected a slight uptick in trash enrichment (Fig. 3), potentially indicating the disposal of old fungus from the fungus garden.

Figure 2.

Figure 2

Enrichment timelines indicate rapid and targeted enrichment of edible gongylidia relative to surrounding structural hypha in the middle layer of fungus gardens. Since enrichment timelines did not vary statistically for 15N and 13C, we visualized the overall temporal relationship by plotting standardized Z‐scores averaged across the nutrients (± SE). Significant Tukey test results within gongylidia tissue relative to day 0 are indicated with an asterisk (where **P < 0.01, ***P < 0.001), and significant differences (P < 0.05) between gongylidia and surrounding hypha tissue within days indicated with a cross (†). The dashed line connects gongylidia sampling days and the solid line connects hypha sampling days. We show an in vitro culture of leafcutter ant fungus cultivar for reference, even though the samples for analysis in this experiment were harvested in vivo directly from colonies.

Figure 3.

Figure 3

Waste‐disposal timelines of enriched substrates in the A. colombica farming symbiosis following harvest on day 1. Trash piles exhibited peak enrichment on the first day (means ± SE), indicating that large amounts of harvested substrate never reached the fungus garden. They also exhibited a slight enrichment uptick on day 20, suggesting gradual disposal of old enriched fungus. Standardized Z‐scores averaged across the nutrients are plotted because 15N and 13C timelines were not significantly different (Table 1). Letters indicate significantly different (Tukey test, P < 0.05) enrichment values across days.

Nutrient allocation

The allocation hypothesis was generally supported by caste‐specific enrichment dynamics (Nutrient × caste interaction effects in Table 1), with foragers assimilating significant levels of 13C, but not 15N when harvesting substrate (Fig. 4), and with larvae showing total enrichment levels that were higher for 15N than for 13C (Fig. 4). However, larvae on day eight (consuming enriched diet), and then pupae on day 20 (the aging cohort of enriched larvae) became significantly enriched for both 15N and 13C relative to adult castes (Fig. 4), indicating farming systems generally shunted nutrients towards ant colony growth (time × caste interaction effects in Table 1). Caste‐specific enrichment timelines also help refine nutrient transfer dynamics among nestmates. Specifically, an eight‐day lag from when foragers harvested enriched diet to when larvae and gardeners became enriched (Fig. 4) indicates these within‐garden castes did not directly assimilate resources regurgitated by returning foragers. Rather, they instead appeared to rely on cultivar‐derived resources.

Figure 4.

Figure 4

Comparing 15N and 13C enrichment across castes to evaluate the allocation hypothesis. Letters indicate significantly different (Tukey test, P < 0.05) enrichment values or groupings across castes within sampling days. The text ‘n.s.’ indicates no significant enrichment differences among castes within the sampling day. Head‐gaster tissue was analyzed for adult ants and whole bodies were analyzed for larvae and pupae. Enrichment means (± SE) are provided in units of μg 15N, 13C/g.

Nutrient processing

We found mixed support for the hypothesis that foragers nutritionally bypass their gardens (i.e., forager‐first processing). As evidence of assimilation during resource harvest, foragers had a significant head‐thorax pulse from day 0 to 1 for 13C, and a positive (although non‐significant) trend for 15N (Fig. 5). However, a more complex picture emerges considering this assimilation in the context of all nutrients ingested while foraging, as gaster enrichment timelines differed from those of head‐thorax tissue for both 15N and 13C (Time × tissue interaction effects for both nutrients in Table 1). Distinct ingestion‐assimilation timelines for 13C and 15N further indicate that the likelihood of forager‐first processing varies across nutrients. For instance, foragers appeared to bypass their cultivars to assimilate glucose as their head‐thorax tissues had consistently elevated 13C enrichment following consumption. The consistently higher 13C gaster enrichment (Fig. 5) is also consistent with known glucose processing and fat body storage dynamics. Processing dynamics for ammonium nitrate are more difficult to interpret, as foragers initially assimilated small fractions of ingested 15N and then gradually assimilated larger amounts over 20 d as it was simultaneously depleted from their gasters (Fig. 5).

Figure 5.

Figure 5

Testing forager‐first and fungus‐first models of nutrient processing in forager ants for (A) 15N‐enriched ammonium nitrate (blue lines) and (B) 13C‐enriched glucose (gold lines). Ants were subdivided prior to isotope analyses, to compare timelines of enrichment (means ± SE) reflecting nutrient transport in gaster tissue (dashed lines) and nutrient assimilation in head‐thorax tissue (solid lines). We used post‐hoc Tukey tests to interpret significant differences (P < 0.05) within tissues relative to day 0 (letters indicate significance groupings) and across tissues within sampling days (asterisks, where *P < 0.05, **P < 0.01, ***P < 0.001) indicate significant differences). Gaster tissue 15N‐enrichment on day 20 did not differ significantly from enrichment on day 0 (tukey result excluded for clarity).

Gardeners exhibited similar nutrient ingestion‐assimilation trends as foragers, for instance with consistently higher 13C enrichment in gaster tissue relative to head‐thorax tissue following ingestion (Appendix S3: Fig. S1), even as significant enrichment differences existed among these castes for both 15N and 13C (Caste effects for both nutrients in Table 1). These differences were likely driven by significantly delayed ingestion timeline of gardeners, as gardeners only exhibited significant assimilation for 13C eight days and 15N twenty days after the initial day 0 pulse (Appendix S3: Fig. S1).

Discussion

This study clarifies the nutrient‐processing dynamics enabling leafcutter ants to convert harvested substrates into fungal food, and thus helps visualize how these farming systems unlock plant primary production as dominant herbivores across tropical ecosystems. Our results helped confirm unresolved nutritional hypotheses (e.g., nutrients are rapidly integrated into edible gongylidia), rule out others (e.g., foragers do not directly provision gardeners and larvae), and provide a template for disentangling others (e.g., the order of nutrient exchange between gongylidia, larvae, and gardeners). We further highlight how specific nutrients are transferred among symbiotic partners depending on their physiological requirements (e.g., allocating 13C in adult ants and 15N in developing brood) and metabolic processing capabilities (e.g., forager‐first assimilation of glucose, but not ammonium nitrate). We envision using this isotopic approach in field studies moving beyond identifying the substrates harvested by farming ants (Leal and Oliveira 2000, Seal and Tschinkel 2008) to mapping the underlying nutritional landscapes navigated by foragers.

Ecology of farming productivity

Fungal cultivar genomes exhibit a variety of metabolic processing adaptations resulting from millions of years of co‐evolutionary selection as cultivated symbionts (De Fine Licht et al. 2014, Nygaard et al. 2016). We explore the in vivo performance consequences of this crop selection, quantifying conversion rates of harvested nutrients into fungal food. We found evidence that cultivars deliver rapid and targeted gongylidia production, with both nutrients shunted towards food production within 2 d, even as their overall downward processing rates differed within and across layers of the fungus garden. This rapid metabolic processing is consistent with our current understanding of the enzyme specialization of cultivars (De Fine Licht et al. 2010, Kooij et al. 2011, Seal et al. 2014), and with the enzyme vectoring by ants to detoxify (De Fine Licht et al. 2013) and digest (Moller et al. 2011) substrate even before it is deposited on gardens. Fast gongylidia production rates may also govern the high metabolic rates of gongylidia‐bearing fungi relative to less specialized cultivars of other attines that only produce hyphae (Shik et al. 2014b). Additionally, the capacity for fast substrate decomposition may have made ancestors of extant attine cultivars good symbiotic partners, despite their unremarkable nutritional qualities relative to other free‐living fungi (Mueller et al. 2001).

Despite the fundamental advantages of collective foraging, the task of provisioning ant nestmates with different nutritional requirements also provides complex challenges about which nutrients to harvest and in what blends (Dussutour and Simpson 2008a). Leafcutter foragers likely face even greater nutritional challenges as they provision completely unrelated fungal cultivars, saprophytes with very different nutritional requirements (Shik et al. 2016). And, while we hypothesized that ants would selectively dispose of less desirable crop producing nutrients prior to depositing substrate on the fungus garden, workers actually placed similar amounts of both nutrients directly in their trash piles (Fig. 3). Further study will be needed to determine whether this seemingly ‘wasted’ foraging effort stemmed from physical properties of agar diets, the high amount of available nutrients contained per gram of diet relative to a typical leaf fragment, or whether it was simply analogous to the large piles of unused leaf fragments often generated outside nest entrances by leafcutter colonies in nature (Wirth et al. 2003).

Nutrient allocation

Despite the many ecological advantages of farming fungus (e.g., access to a stable resource supply), the nutritional challenges of a fungal diet can be inferred from the rarity of fungivory across the ant phylogeny (von Beeren et al. 2014). Our results provide evidence that leafcutter ants may overcome these challenges by targeted allocation of fungal‐derived nutrients to specific castes. Specifically, while brood were highly enriched for 15N, supporting a prediction of the allocation hypothesis, brood also had high 13C‐enrichment levels, supporting a general trend of allocating nutrients to colony growth. Further study will be needed to link specific nutrients fueling colony growth with the labeled compounds provided in diets, since larvae appeared to consume the metabolic byproducts of fungal cultivars rather than liquids supplied by returning foragers.

Nutrient processing

Nutrient‐specific enrichment timelines of gasters (ingestion) and head‐thorax tissue (assimilation) shed light on the underlying metabolic processing dynamics. First, 13C‐enriched timelines support forager‐first assimilation of harvested glucose as their head‐thorax tissue remained consistently more enriched than pre‐harvest baseline over 20 d. Moreover, since their gasters remained even more 13C‐enriched than their head‐thorax tissues (Fig. 5), the ants likely converted much of the ingested glucose to glycogen and stored it in abdominal fat body cells (Roma et al. 2006). In contrast, the delayed assimilation of 15N until day 20 was potentially consistent with both fungus‐first and forager‐first hypotheses, although both explanations imply pre‐processing of ammonium nitrate by microbial symbionts. Specifically, ants may have relied on cultivars to convert ammonium nitrate into edible gongylidia, which they then consumed by day 20 (fungus first), or the ants' own digestive systems, aided perhaps by their recently characterized resident communities of symbiotic gut microbes (i.e., Sapountzis et al. 2015), may have gradually metabolized the ammonium nitrate, making it available to their ant hosts over time (forager first). The forager‐first hypothesis seems likely, since the gradual transfer of 15N from the ants' alimentary canals to head‐thorax tissue (Fig. 5), implies a reliance on metabolic work performed by microbial gut symbionts. The fungus‐first hypothesis might thus be more aptly called the ‘symbiont‐first hypothesis’.

These ingestion‐assimilation results also help resolve a 40‐yr old debate in the attine literature about the primacy of fungus in leafcutter ant diets (Littledyke and Cherrett 1976, Stradling 1978, Wetterer 1994, Mueller et al. 2001, Silva et al. 2003, Rytter and Shik 2016). First, while Littledyke and Cherrett (1976) initially confirmed ingestion of plant sap by foraging leafcutter ants, they analyzed entire ant bodies and could thus not distinguish between assimilated nutrients, and liquids shared with nestmates or vectored directly to fungus gardens. Our results highlight the dynamic nature of resource‐exchange dynamics within leafcutter symbioses, as workers appear to nutritionally bypass their fungal cultivars depending on their ability to metabolize the ingested compound, and whether they are a caste that forages outside the nest. Thus, while our results highlight remarkable functional integration among symbiotic partners, they also highlight that fungal cultivars may only partially meet their farmers' nutritional needs. Moving forward, it will be important to explore how these production dynamics vary when these broad‐ranging generalist foragers encounter taxonomically (Wirth et al. 2003), nutritionally (Kooij et al. 2011), and biochemically (Howard 1988) diverse plant substrates, and when culitvars are farmed across ecological gradients (Mueller et al. 2011).

Supporting information

 

 

 

Acknowledgments

We thank Jack Howe for colony husbandry advice, Luigi Pontieri, Kevin Grimm, Consuelo Arellano and David Nash for statistical guidance, and John Bruun Andersen for assistance with colony ‘sampling windows’. Christian Peeters, Jacobus Boomsma and Panos Sapountzis provided valuable comments. J.Z.S was supported by a Postdoctoral Fellowship from a Marie Curie International Incoming Fellowship (327940 INSEAME), and by the Centre for Social Evolution at the University of Copenhagen. X.A. was supported by a Ramón y Cajal research contract by the Spanish Ministry of Economy and Competitiveness (RYC‐2015‐18448).

Corresponding Editor: David A. Holway.

Literature Cited

  1. Arrese, E. L. , and Soulages J. L.. 2010. Insect fat body: energy, metabolism, and regulation. Annual Review of Entomology 55:207–225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Bass, M. , and Cherrett J. M.. 1995. Fungal hyphae as a source of nutrients for the leaf‐cutting ant Atta sexdens . Physiological Entomology 20:1–6. [Google Scholar]
  3. von Beeren, C. , Mair M. M., and Witte V.. 2014. Discovery of a second mushroom harvesting ant (Hymenoptera: Formicidae) in Malayan tropical rainforests. Myrmecological News 20:37–42. [Google Scholar]
  4. Behmer, S. T. 2009. Insect herbivore nutrient regulation. Annual Review of Entomology 54:165–187. [DOI] [PubMed] [Google Scholar]
  5. Blüthgen, N. , Gebauer G., and Fiedler K.. 2003. Disentangling a rainforest food web using stable isotopes: dietary diversity in a species‐rich ant community. Oecologica 137:426–435. [DOI] [PubMed] [Google Scholar]
  6. Brand, W. A. , Coplen B., Vogl J., Rosner M., and Prohaska T.. 2014. Assessment of international reference materials for isotope‐ratio analysis (IUPAC Technical Report). Pure and Applied Chemistry 86:425–467. [Google Scholar]
  7. Brian, M. V. 1978. Production ecology of ants and termites. Cambridge University Press, Cambridge, UK. [Google Scholar]
  8. Cook, S. C. , and Davidson D. W.. 2006. Nutritional and functional biology of exudate‐feeding ants. Entomologia Experimentalis et Applicata 118:1–10. [Google Scholar]
  9. Davidson, D. W. , Cook S. C., Snelling R. R., and Chua T. H.. 2003. Explaining the abundance of ants in lowland tropical rainforest canopies. Science 300:969–972. [DOI] [PubMed] [Google Scholar]
  10. De Fine Licht, H. H. , Schiøtt M., Mueller U. G., and Boomsma J. J.. 2010. Evolutionary transitions in enzyme activity of ant fungus gardens. Evolution 64‐7:2055–2069. [DOI] [PubMed] [Google Scholar]
  11. De Fine Licht, H. H. , Schiøtt M., Rogowska‐Wrzesinska A., Nygaard S., Roepstorff P., and Boomsma J. J.. 2013. Laccase detoxification mediates the nutritional alliance between leaf‐cutting ants and fungus‐garden symbionts. Proceedings of the National Academy of Sciences of the United States of America 110:583–587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. De Fine Licht, H. H. , Boomsma J. J., and Tunlid A.. 2014. Symbiotic adaptations in the fungal cultivar of leaf‐cutting ants. Nature Communications 5:1–10. [DOI] [PubMed] [Google Scholar]
  13. Del Toro, I. , Ribbons R. R., and Pelini S. L.. 2012. The little things that run the world revisited: a review of ant‐mediated ecosystem services and disservices (Hymenoptera: Formicidae). Myrmecological News 17:133–146. [Google Scholar]
  14. Dussutour, A. , and Simpson S. J.. 2008a. Carbohydrate regulation in relation to colony growth in ants. Journal of Experimental Biology 211:2224–2232. [DOI] [PubMed] [Google Scholar]
  15. Dussutour, A. , and Simpson S. J.. 2008b. Description of a simple synthetic diet for studying nutritional responses in ants. Insectes Sociaux 55:329–333. [Google Scholar]
  16. Engel, P. , Martinson V. G., and Moran N. A.. 2012. Functional diversity within the simple gut microbiota of the honey bee. Proceedings of the National Academy of Sciences of the United States of America 109:11002–11007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Erthal, M. , Peres Silva C., and Samuels R. I.. 2007. Digestive enzymes in larvae of the leaf cutting ant, Acromyrmex subterraneus (Hymenoptera: Formicidae: Attini). Journal of Insect Physiology 53:1101–1111. [DOI] [PubMed] [Google Scholar]
  18. Evison, S. E. F. , and Ratnieks F. L. W.. 2007. New role for majors in Atta leafcutter ants. Ecological Entomology 32:451–454. [Google Scholar]
  19. Feldhaar, H. , Straka J., Krischke M., Berthold K., Stoll S., Mueller M. J., and Gross R.. 2007. Nutritional upgrading for omnivorous carpenter ants by the endosymbiont Blochmannia . BMC Biology 5:48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Feldhaar, H. , Gebauer G., and Blüthgen N.. 2010. Stable isotopes: past and future in exposing secrets of ant nutrition (hymenoptera: Formicidae). Myrmecological News 13:3–13. [Google Scholar]
  21. Fischer, R. C. , Ölzant S. M., Wanek W., and Mayer V.. 2005. The fate of Corydalis cava elaiosomes within an ant colony of Myrmica rubra: elaiosomes are preferentially fed to larvae. Insectes Sociaux 52:55–62. [Google Scholar]
  22. Forti, L. C. , de Souza Silva M., Fujihara R. T., Caldato N., and Garcia M. G.. 2012. Trajectory of water‐ and fat‐soluble dyes in the grass‐cutting ant Atta capiguara (Hymenoptera, Formicidae): evaluation of infrabuccal cavity, post‐pharyngeal glands and gaster. Sociobiology 59:511–520. [Google Scholar]
  23. Fry, B. 2006. Stable isotope ecology. Springer, New York, New York, USA. [Google Scholar]
  24. Golley, F. B. , and Gentry J. B.. 1964. Bioenergetics of the southern harvester ant, Pogonomyrmex badius . Ecology 45:217–225. [Google Scholar]
  25. Griffiths, H. M. , Ashton L. A., Walker A. E., Hasan F., Evans T. A., Eggleton P., and Parr C. L.. 2018. Ants are the major agents of resource removal from tropical rainforests. Journal of Animal Ecology 87:293–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hölldobler, B. , and Kwapich C. L.. 2017. Amphotis marginata (Coleoptera: Nitidulidae) a highwayman of the ant Lasius fuliginosus . PLoS ONE 12:e0180847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Hölldobler, B. , and Wilson E. O.. 2010. The leafcutter ants: civilization by instinct. Norton & Company, New York, New York, USA. [Google Scholar]
  28. Howard, J. J. 1988. Leafcutting ant diet selection: relative influence of leaf chemistry and physical features. Ecology 69:250–260. [Google Scholar]
  29. Howard, D. F. , and Tschinkel W. R.. 1981. The flow of food in colonies of the fire ant, Solenopsis invicta: a multifactorial study. Physiological Entomology 6:297–306. [Google Scholar]
  30. Jacquemin, J. , Delsinne T., Maraun M., and Leponce M.. 2014. Trophic ecology of the armadillo ant, Tatuidris tatusia, assessed by stable isotopes and behavioral observations. Journal of Insect Science 14:108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Kiers, E. T. , et al. 2011. Reciprocal rewards stabilize cooperation in the mycorrhizal symbiosis. Science 333:880–882. [DOI] [PubMed] [Google Scholar]
  32. Kooij, P. W. , Schiøtt M., Boomsma J. J., and De Fine Licht H. H.. 2011. Rapid shifts in Atta cephalotes fungus‐garden enzyme activity after a change in fungal substrate (Attini, Formicidae). Insectes Sociaux 58:145–151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Lanan, M. 2014. Spatiotemporal resource distribution and foraging strategies of ants (Hymenoptera: Formicidae). Myrmecological News 20:53–70. [PMC free article] [PubMed] [Google Scholar]
  34. Leal, I. R. , and Oliveira P. S.. 2000. Foraging ecology of attine ants in a Neotropical savanna: seasonal use of fungal substrate in the cerrado vegetation of Brazil. Insectes Sociaux 47:376–382. [Google Scholar]
  35. Littledyke, M. , and Cherrett J. M.. 1976. Direct ingestion of plant sap from cut leaves by the leaf‐cutting ants Atta cephalotes (L.) and Acromyrmex octospinosus (Reich) (Formicidae, Attini). Bulletin of Entomological Research 66:205–217. [Google Scholar]
  36. Markin, G. P. 1970. Food distribution within laboratory colonies of the argentine ant, Iridomyrmex humilis (Mayr). Insectes Sociaux 17:127–158. [Google Scholar]
  37. Martin, J. S. , and Martin M. M.. 1970. The presence of protease activity in the rectal fluid of attine ants. Journal of Insect Physiology 170:227–232. [DOI] [PubMed] [Google Scholar]
  38. Martin, M. M. , Carman R. M., and MacConnell J. G.. 1969. Nutrients derived from the fungus cultured by the fungus‐growing ant Atta colombica tonsipes . Annals of the Entomological Society of America 62:11–13. [DOI] [PubMed] [Google Scholar]
  39. Moller, I. E. , De Fine Licht H. H., Harholt J., Willats W. G. T., and Boomsma J. J.. 2011. The dynamics of plant cell‐wall polysaccharide decomposition in leaf‐cutting ant fungus gardens. PLoS ONE 6:e17506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Mooney, K. A. , and Tillberg C. V.. 2005. Temporal and spatial variation to ant omnivory in pine forests. Ecology 86:1225–1235. [Google Scholar]
  41. Moreira‐Soto, R. D. , Sanchez E., Currie C. R., and Pinto‐Tomás A. A.. 2017. Ultrastructural and microbial analyses of cellulose degradation in leaf‐cutter ant colonies. Microbiology 163:1578–1589. [DOI] [PubMed] [Google Scholar]
  42. Mueller, U. G. , Schultz T. R., Currie C. R., Adams R. M. M., and Malloch D.. 2001. The origin of the attine ant‐fungus mutualism. Quarterly Review of Biology 76:169–197. [DOI] [PubMed] [Google Scholar]
  43. Mueller, U. G. , et al. 2011. Evolution of cold‐tolerant fungal symbionts permits winter fungiculture by leafcutter ants at the northern frontier of a tropical ant–fungus symbiosis. Proceedings of the National Academy of Sciences of the United States of America 108:4053–4056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Nygaard, S. , et al. 2016. Reciprocal genomic evolution in the ant‐fungus agricultural symbiosis. Nature Communications 7:12233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Oster, G. F. , and Wilson E. O.. 1978. Caste and ecology in the social insects. Princeton University Press, Princeton, New Jersey, USA. [PubMed] [Google Scholar]
  46. Penick, C. A. , Savage A. M., and Dunn R. R.. 2015. Stable isotopes reveal links between human food inputs and urban ant diets. Proceedings of the Royal Society B 282:20142608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Pinheiro, J. , Bates D., DebRoy S., Sarkar D., and the R Core Team . 2018. nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1‐137. https://CRAN.R-project.org/package=nlme
  48. Pinkalski, C. , Jensen K.‐M. V., Damgaard C., and Offenberg J.. 2018. Foliar uptake of nitrogen from ant faecal droplets: an overlooked service to ant‐plants. Journal of Ecology 106:289–295. [Google Scholar]
  49. Pinto‐Tomás, A. A. , Anderson M. A., Suen G., Stevenson D. M., Chu F. S. T., Cleland W. W., Weimer P. J., and Currie C. R.. 2009. Symbiotic nitrogen fixation in the fungus garden of leaf‐cutter ants. Science 326:1120–1123. [DOI] [PubMed] [Google Scholar]
  50. Poulsen, M. , et al. 2014. Complementary symbiont contributions to plant decomposition in a fungus‐farming termite. Proceedings of the National Academy of Sciences of the United States of America 111:14500–14505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Quinlan, R. J. , and Cherrett J. M.. 1979. The role of fungus in the diet of the leaf‐cutting ant Atta cephalotes (L.). Ecological Entomology 4:151–160. [Google Scholar]
  52. R Development Core Team . 2016. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria: https://www.R-project.org/ [Google Scholar]
  53. Roeder, K. A. , and Kaspari M.. 2017. From cryptic herbivore to predator: stable isotopes reveal consistent variability in trophic levels in an ant population. Ecology 98:297–303. [DOI] [PubMed] [Google Scholar]
  54. Roma, G. S. , Mathias Camargo M. I., and Bueno O. C.. 2006. Fat body in some genera of leaf‐cutting ants (Hymenoptera: Formicidae). Proteins, lipids and polysaccharides detection. Micron 37:234–242. [DOI] [PubMed] [Google Scholar]
  55. Rytter, W. , and Shik J. Z.. 2016. Liquid foraging behavior in leafcutting ants: the lunchbox hypothesis. Animal Behaviour 117:179–186. [Google Scholar]
  56. Sagers, C. L. , Ginger S. M., and Evans R. D.. 2000. Carbon and nitrogen isotopes trace nutrient exchange in an ant‐plant mutualism. Oecologia 123:582–586. [DOI] [PubMed] [Google Scholar]
  57. Sapountzis, P. , Zhukova M., Hansen L. H., Sørensen S. J., Schiøtt M., and Boomsma J. J.. 2015. Acromyrmex leaf‐cutting ants have simple gut microbiota with nitrogen‐fixing potential. Applied and Environmental Microbiology 81:5527–5537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Schiøtt, M. , Rogowska‐Wrzesinska A., Roepstorff P., and Boomsma J. J.. 2010. Leaf‐cutting ant fungi produce cell wall degrading pectinase complexes reminiscent of phytopathogenic fungi. BMC Biology 8:156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Seal, J. N. , and Tschinkel W. R.. 2008. Food limitation in the fungus‐gardening ant, Trachymyrmex septentrionalis . Ecological Entomology 33:597–607. [Google Scholar]
  60. Seal, J. N. , Schiøtt M., and Mueller U. G.. 2014. Ant‐fungus species combinations engineer physiological activity of fungus gardens. Journal of Experimental Biology 217:2540–2547. [DOI] [PubMed] [Google Scholar]
  61. Shik, J. Z. , Kay A., and Silverman J.. 2014a. Aphid honeydew provides a nutritionally balanced resource for incipient Argentine ant mutualists. Animal Behaviour 95:33–39. [Google Scholar]
  62. Shik, J. Z. , Santos J. C., Seal J. N., Kay A., Mueller U. G., and Kaspari M.. 2014b. Metabolism and the rise of fungus cultivation by ants. American Naturalist 184:364–373. [DOI] [PubMed] [Google Scholar]
  63. Shik, J. Z. , Gomez E. B., Kooij P. W., Santos J. C., Wcislo W. T., and Boomsma J. J.. 2016. Nutrition mediates the expression of cultivar–farmer conflict in a fungus‐growing ant. Proceedings of the National Academy of Sciences of the United States of America 113:10121–10126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Silva, A. , Bacci M., de Siqueira C. G., Bueno O. C., Pagnocca F. C., and Hebling M. J. A.. 2003. Survival of Atta sexdens workers on different food sources. Journal of Insect Physiology 49:307–313. [DOI] [PubMed] [Google Scholar]
  65. Smith, C. R. , and Suarez A. V.. 2010. The trophic ecology of castes in harvester ant colonies. Functional Ecology 172:497–507. [Google Scholar]
  66. Sorensen, A. A. , and Vinson S. B.. 1981. Quantitative food distribution studies within laboratory colonies of the imported fire ant, Solenopsis invicta Buren. Insectes Sociaux 28:129–160. [Google Scholar]
  67. Stradling, D. J. 1978. Food and feeding habits of ants Pages 81–106 in Brian M. V., editor. Production ecology of ants and termites. Cambridge University Press, Cambridge, UK. [Google Scholar]
  68. Tillberg, C. V. , McCarthy D. P., Dolezal A. G., and Suarez A. V.. 2006. Measuring the trophic ecology of ants using stable isotopes. Insects Sociaux 53:65–69. [Google Scholar]
  69. Tillberg, C. V. , Holway D. A., LeBrun E. G., and Suarez A. V.. 2007. Trophic ecology of invasive Argentine ants in their native and introduced ranges. Proceedings of the National Academy of Sciences of the United States of America 104:20856–20861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Tschinkel, W. R. 1991. Insect sociometry, a field in search of data. Insectes Sociaux 38:77–82. [Google Scholar]
  71. Tschinkel, W. R. 2011. Back to basics: sociometry and sociogenesis of ant societies (Hymenoptera: Formicidae). Myrmecological News 14:49–54. [Google Scholar]
  72. Wetterer, J. K. 1994. Nourishment and evolution in fungus‐growing ants and their fungi Pages 309–328 in Hunt J. H. and Nalepa C. A. Nourishment and evolution of insect societies. Westview Press, Inc., Boulder Colorado, USA. [Google Scholar]
  73. Wilder, S. M. , Holway D. A., Suarez A. V., LeBrun E. G., and Eubanks M. D.. 2011. Intercontinental differences in resource use reveal the importance of mutualisms for fire ant invasions. Proceedings of the National Academy of Sciences of the United States of America 108:20639–20644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Wilson, E. O. 1980. Caste and division of labor in leaf‐cutter ants (Hymenoptera: Formicidae: Atta) I. The overall pattern in Atta sexdens . Behavioral Ecology and Sociobiology 7:143–156. [Google Scholar]
  75. Wilson, E. O. , and Eisner T.. 1957. Quantitative studies of liquid food transmission in ants. Insectes Sociaux 4:157–166. [Google Scholar]
  76. Wirth, R. , Herz H., Ryel R. J., Beyschlag W., and Hölldobler B.. 2003. Herbivory of leaf‐cutting ants: a case study on Atta colombica in the tropical rainforest of Panama. Springer, Berlin, Heidelberg. [Google Scholar]
  77. Yang, A. S. 2006. Seasonality, division of labor, and dynamics of colony‐level nutrient storage in the ant Pheidole morrisi . Insectes Sociaux 53:456–462. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

 

 

 


Articles from Ecology are provided here courtesy of Wiley

RESOURCES