1
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Littleford-Colquhoun B, Kartzinel TR. A CRISPR-based strategy for targeted sequencing in biodiversity science. Mol Ecol Resour 2024; 24:e13920. [PMID: 38153158 DOI: 10.1111/1755-0998.13920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/10/2023] [Accepted: 12/13/2023] [Indexed: 12/29/2023]
Abstract
Many applications in molecular ecology require the ability to match specific DNA sequences from single- or mixed-species samples with a diagnostic reference library. Widely used methods for DNA barcoding and metabarcoding employ PCR and amplicon sequencing to identify taxa based on target sequences, but the target-specific enrichment capabilities of CRISPR-Cas systems may offer advantages in some applications. We identified 54,837 CRISPR-Cas guide RNAs that may be useful for enriching chloroplast DNA across phylogenetically diverse plant species. We tested a subset of 17 guide RNAs in vitro to enrich plant DNA strands ranging in size from diagnostic DNA barcodes of 1,428 bp to entire chloroplast genomes of 121,284 bp. We used an Oxford Nanopore sequencer to evaluate sequencing success based on both single- and mixed-species samples, which yielded mean chloroplast sequence lengths of 2,530-11,367 bp, depending on the experiment. In comparison to mixed-species experiments, single-species experiments yielded more on-target sequence reads and greater mean pairwise identity between contigs and the plant species' reference genomes. But nevertheless, these mixed-species experiments yielded sufficient data to provide ≥48-fold increase in sequence length and better estimates of relative abundance for a commercially prepared mixture of plant species compared to DNA metabarcoding based on the chloroplast trnL-P6 marker. Prior work developed CRISPR-based enrichment protocols for long-read sequencing and our experiments pioneered its use for plant DNA barcoding and chloroplast assemblies that may have advantages over workflows that require PCR and short-read sequencing. Future work would benefit from continuing to develop in vitro and in silico methods for CRISPR-based analyses of mixed-species samples, especially when the appropriate reference genomes for contig assembly cannot be known a priori.
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Affiliation(s)
- Bethan Littleford-Colquhoun
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA
- Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA
| | - Tyler R Kartzinel
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA
- Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA
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2
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Gill BA, Wittemyer G, Cerling TE, Musili PM, Kartzinel TR. Foraging history of individual elephants using DNA metabarcoding. R Soc Open Sci 2023; 10:230337. [PMID: 37416829 PMCID: PMC10320352 DOI: 10.1098/rsos.230337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 06/07/2023] [Indexed: 07/08/2023]
Abstract
Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from 'grazing' to 'browsing' strategies, dietary DNA revealed seasonal shifts in food richness, composition and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant 'Artists' family was stronger and more consistently positive compared to the dominant 'Royals' family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behaviour and nutrition.
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Affiliation(s)
- Brian A. Gill
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI 02912, USA
- Institute at Brown for Environment and Society, Brown University, Providence, RI 02912, USA
| | - George Wittemyer
- Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA
- Save the Elephants, Nairobi, Kenya
| | - Thure E. Cerling
- Department of Geology and Geophysics, University of Utah, Salt Lake City, UT 84112, USA
- Department of Biology, University of Utah, Salt Lake City, UT 84112, USA
| | - Paul M. Musili
- Botany Department, East African Herbarium, National Museums of Kenya, Nairobi, Kenya
| | - Tyler R. Kartzinel
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI 02912, USA
- Institute at Brown for Environment and Society, Brown University, Providence, RI 02912, USA
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3
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Thurman TJ, Palmer TM, Kolbe JJ, Askary AM, Gotanda KM, Lapiedra O, Kartzinel TR, Man In't Veld N, Revell LJ, Wegener JE, Schoener TW, Spiller DA, Losos JB, Pringle RM, Barrett RDH. The Difficulty of Predicting Evolutionary Change in Response to Novel Ecological Interactions: A Field Experiment with Anolis Lizards. Am Nat 2023; 201:537-556. [PMID: 36958004 DOI: 10.1086/723209] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractDetermining whether and how evolution is predictable is an important goal, particularly as anthropogenic disturbances lead to novel species interactions that could modify selective pressures. Here, we use a multigeneration field experiment with brown anole lizards (Anolis sagrei) to test hypotheses about the predictability of evolution. We manipulated the presence/absence of predators and competitors of A. sagrei across 16 islands in the Bahamas that had preexisting brown anole populations. Before the experiment and again after roughly five generations, we measured traits related to locomotor performance and habitat use by brown anoles and used double-digest restriction enzyme-associated DNA sequencing to estimate genome-wide changes in allele frequencies. Although previous work showed that predators and competitors had characteristic effects on brown anole behavior, diet, and population sizes, we found that evolutionary change at both phenotypic and genomic levels was difficult to forecast. Phenotypic changes were contingent on sex and habitat use, whereas genetic change was unpredictable and not measurably correlated with phenotypic changes, experimental treatments, or other environmental factors. Our work shows how differences in ecological context can alter evolutionary outcomes over short timescales and underscores the difficulty of forecasting evolutionary responses to multispecies interactions in natural conditions, even in a well-studied system with ample supporting ecological information.
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4
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Brown BRP, Goheen JR, Newsome SD, Pringle RM, Palmer TM, Khasoha LM, Kartzinel TR. Host phylogeny and functional traits differentiate gut microbiomes in a diverse natural community of small mammals. Mol Ecol 2023; 32:2320-2334. [PMID: 36740909 DOI: 10.1111/mec.16874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/27/2022] [Accepted: 02/02/2023] [Indexed: 02/07/2023]
Abstract
Differences in the bacterial communities inhabiting mammalian gut microbiomes tend to reflect the phylogenetic relatedness of their hosts, a pattern dubbed phylosymbiosis. Although most research on this pattern has compared the gut microbiomes of host species across biomes, understanding the evolutionary and ecological processes that generate phylosymbiosis requires comparisons across phylogenetic scales and under similar ecological conditions. We analysed the gut microbiomes of 14 sympatric small mammal species in a semi-arid African savanna, hypothesizing that there would be a strong phylosymbiotic pattern associated with differences in their body sizes and diets. Consistent with phylosymbiosis, microbiome dissimilarity increased with phylogenetic distance among hosts, ranging from congeneric sets of mice and hares that did not differ significantly in microbiome composition to species from different taxonomic orders that had almost no gut bacteria in common. While phylosymbiosis was detected among just the 11 species of rodents, it was substantially weaker at this scale than in comparisons involving all 14 species together. In contrast, microbiome diversity and composition were generally more strongly correlated with body size, dietary breadth, and dietary overlap in comparisons restricted to rodents than in those including all lineages. The starkest divides in microbiome composition thus reflected the broad evolutionary divergence of hosts, regardless of body size or diet, while subtler microbiome differences reflected variation in ecologically important traits of closely related hosts. Strong phylosymbiotic patterns arose deep in the phylogeny, and ecological filters that promote functional differentiation of cooccurring host species may disrupt or obscure this pattern near the tips.
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Affiliation(s)
- Bianca R P Brown
- Department of Ecology, Evolutionary & Organismal Biology, Brown University, Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA.,Mpala Research Centre, Nanyuki, Kenya
| | - Jacob R Goheen
- Mpala Research Centre, Nanyuki, Kenya.,Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, USA
| | - Seth D Newsome
- Department of Biology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Robert M Pringle
- Mpala Research Centre, Nanyuki, Kenya.,Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
| | - Todd M Palmer
- Mpala Research Centre, Nanyuki, Kenya.,Department of Biology, University of Florida, Gainesville, Florida, USA
| | - Leo M Khasoha
- Mpala Research Centre, Nanyuki, Kenya.,Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, USA
| | - Tyler R Kartzinel
- Department of Ecology, Evolutionary & Organismal Biology, Brown University, Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA.,Mpala Research Centre, Nanyuki, Kenya
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5
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Littleford-Colquhoun BL, Sackett VI, Tulloss CV, Kartzinel TR. Evidence-based strategies to navigate complexity in dietary DNA metabarcoding: A reply. Mol Ecol 2022; 31:5660-5665. [PMID: 36263899 DOI: 10.1111/mec.16712] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/06/2022] [Accepted: 09/23/2022] [Indexed: 01/13/2023]
Abstract
It is clearly beneficial to eliminate low-abundance sequences that arise in error during dietary DNA metabarcoding studies, but to purge all low-abundance sequences is to risk eliminating real sequences and complicating ecological analyses. Our prior literature review noted that DNA sequence relative read abundance (RRA) thresholds can help ameliorate false-positive taxon occurrences, but that historical emphasis on this utility has fostered uncertainty about the associated risk of inflating the false-negative rate (Littleford-Colquhoun et al., 2022). To address this, we combined a simulation study and an empirical data set to both illustrate the issue and provide blueprints for simulation studies and sensitivity analyses that can help investigators avoid overcorrecting and thereby bolster confidence in ecological inferences. Awareness of both the costs and the benefits of abundance-filtering is needed because accurately characterizing dietary distributions can be critically important for understanding animal diets, nutrition and trophic networks. Highlighting the need to raise awareness, a critique of our paper emphasized the misleading notion that "false positive interactions between species can present fundamentally incorrect network structures in network ecology, whereas false negatives will provide a correct but incomplete version of the network" (Tercel & Cuff, 2022). Asserting that the reliability of results will be eroded by false positives but resilient to the omission of true positives is risky and runs counter to evidence. Unfortunately, abundance-filtering methods can introduce false negatives at higher rates than they eliminate false positives and thereby undermine the analysis of otherwise reliable sequencing data. Overcorrecting can qualitatively alter and ultimately undermine ecological interpretations.
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Affiliation(s)
- Bethan L Littleford-Colquhoun
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA
| | - Violet I Sackett
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA
| | - Camille V Tulloss
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA
| | - Tyler R Kartzinel
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA
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6
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Daskin JH, Becker JA, Kartzinel TR, Potter AB, Walker RH, Eriksson FAA, Buoncore C, Getraer A, Long RA, Pringle RM. Allometry of behavior and niche differentiation among congeneric African antelopes. ECOL MONOGR 2022. [DOI: 10.1002/ecm.1549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Joshua H. Daskin
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
- Archbold Biological Station Venus FL USA
| | - Justine A. Becker
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
- Department of Zoology & Physiology University of Wyoming Laramie WY USA
| | - Tyler R. Kartzinel
- Department of Ecology & Evolutionary Biology Brown University Providence RI USA
| | - Arjun B. Potter
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
| | - Reena H. Walker
- Department of Fish and Wildlife Sciences University of Idaho Moscow ID USA
| | | | - Courtney Buoncore
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
| | - Alexander Getraer
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
| | - Ryan A. Long
- Department of Fish and Wildlife Sciences University of Idaho Moscow ID USA
| | - Robert M. Pringle
- Department of Ecology & Evolutionary Biology Princeton University Princeton NJ USA
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7
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Titcomb GC, Pansu J, Hutchinson MC, Tombak KJ, Hansen CB, Baker CCM, Kartzinel TR, Young HS, Pringle RM. Large-herbivore nemabiomes: patterns of parasite diversity and sharing. Proc Biol Sci 2022; 289:20212702. [PMID: 35538775 PMCID: PMC9091847 DOI: 10.1098/rspb.2021.2702] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Amidst global shifts in the distribution and abundance of wildlife and livestock, we have only a rudimentary understanding of ungulate parasite communities and parasite-sharing patterns. We used qPCR and DNA metabarcoding of fecal samples to characterize gastrointestinal nematode (Strongylida) community composition and sharing among 17 sympatric species of wild and domestic large mammalian herbivore in central Kenya. We tested a suite of hypothesis-driven predictions about the role of host traits and phylogenetic relatedness in describing parasite infections. Host species identity explained 27-53% of individual variation in parasite prevalence, richness, community composition and phylogenetic diversity. Host and parasite phylogenies were congruent, host gut morphology predicted parasite community composition and prevalence, and hosts with low evolutionary distinctiveness were centrally positioned in the parasite-sharing network. We found no evidence that host body size, social-group size or feeding height were correlated with parasite composition. Our results highlight the interwoven evolutionary and ecological histories of large herbivores and their gastrointestinal nematodes and suggest that host identity, phylogeny and gut architecture-a phylogenetically conserved trait related to parasite habitat-are the overriding influences on parasite communities. These findings have implications for wildlife management and conservation as wild herbivores are increasingly replaced by livestock.
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Affiliation(s)
- Georgia C. Titcomb
- Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, USA,Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA, USA,Mpala Research Centre, Nanyuki, Kenya
| | - Johan Pansu
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA,ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
| | - Matthew C. Hutchinson
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Kaia J. Tombak
- Mpala Research Centre, Nanyuki, Kenya,Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA,Department of Anthropology, Hunter College of the City University of New York, New York, NY, USA
| | - Christina B. Hansen
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Christopher C. M. Baker
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA,US Army ERDC Cold Regions Research and Engineering Laboratory, Hanover, NH, USA
| | - Tyler R. Kartzinel
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA,Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI, USA,Institute at Brown for Environment and Society, Brown University, Providence, RI, USA
| | - Hillary S. Young
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA, USA,Mpala Research Centre, Nanyuki, Kenya
| | - Robert M. Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
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8
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Alston JM, Reed CG, Khasoha LM, Brown BRP, Busienei G, Carlson N, Coverdale TC, Dudenhoeffer M, Dyck MA, Ekeno J, Hassan AA, Hohbein R, Jakopak RP, Kimiti B, Kurukura S, Lokeny P, Louthan AM, Musila S, Musili PM, Tindall T, Weiner S, Kartzinel TR, Palmer TM, Pringle RM, Goheen JR. Cover Image. Ecology 2022. [DOI: 10.1002/ecy.3393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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9
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Littleford‐Colquhoun BL, Freeman PT, Sackett VI, Tulloss CV, McGarvey LM, Geremia C, Kartzinel TR. The precautionary principle and dietary DNA metabarcoding: Commonly used abundance thresholds change ecological interpretation. Mol Ecol 2022; 31:1615-1626. [PMID: 35043486 PMCID: PMC9303378 DOI: 10.1111/mec.16352] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 12/06/2021] [Accepted: 01/07/2022] [Indexed: 01/13/2023]
Abstract
Dietary DNA metabarcoding enables researchers to identify and characterize trophic interactions with a high degree of taxonomic precision. It is also sensitive to sources of bias and contamination in the field and laboratory. One of the earliest and most common strategies for dealing with such sensitivities has been to remove all low-abundance sequences and conduct ecological analyses based on the presence or absence of food taxa. Although this step is now often perceived to be necessary, evidence of its sufficiency is lacking and more attention to the risk of introducing other errors is needed. Using computer simulations, we demonstrate that common strategies to remove low-abundance sequences can erroneously eliminate true dietary sequences in ways that impact downstream inferences. Using real data from well-studied wildlife populations in Yellowstone National Park, we further show how these strategies can markedly alter the composition of dietary profiles in ways that scale-up to obscure ecological interpretations about dietary generalism, specialism, and composition. Although the practice of removing low-abundance sequences may continue to be a useful strategy to address research questions that focus on a subset of relatively abundant foods, its continued widespread use risks generating misleading perceptions about the structure of trophic networks. Researchers working with dietary DNA metabarcoding data-or similar data such as environmental DNA, microbiomes, or pathobiomes-should be aware of drawbacks and consider alternative bioinformatic, experimental, and statistical solutions.
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Affiliation(s)
- Bethan L. Littleford‐Colquhoun
- Department of Ecology, Evolution, and Organismal BiologyBrown UniversityProvidenceRhode IslandUSA,Institute at Brown for Environment and SocietyBrown UniversityProvidenceRhode IslandUSA
| | - Patrick T. Freeman
- Department of Ecology, Evolution, and Organismal BiologyBrown UniversityProvidenceRhode IslandUSA,Institute at Brown for Environment and SocietyBrown UniversityProvidenceRhode IslandUSA
| | - Violet I. Sackett
- Department of Ecology, Evolution, and Organismal BiologyBrown UniversityProvidenceRhode IslandUSA,Institute at Brown for Environment and SocietyBrown UniversityProvidenceRhode IslandUSA
| | - Camille V. Tulloss
- Department of Ecology, Evolution, and Organismal BiologyBrown UniversityProvidenceRhode IslandUSA,Institute at Brown for Environment and SocietyBrown UniversityProvidenceRhode IslandUSA
| | - Lauren M. McGarvey
- Yellowstone Center for Resources, Yellowstone National ParkMammoth Hot SpringsWyomingUSA
| | - Chris Geremia
- Yellowstone Center for Resources, Yellowstone National ParkMammoth Hot SpringsWyomingUSA
| | - Tyler R. Kartzinel
- Department of Ecology, Evolution, and Organismal BiologyBrown UniversityProvidenceRhode IslandUSA,Institute at Brown for Environment and SocietyBrown UniversityProvidenceRhode IslandUSA
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10
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Alston JM, Reed CG, Khasoha LM, Brown BRP, Busienei G, Carlson N, Coverdale TC, Dudenhoeffer M, Dyck MA, Ekeno J, Hassan AA, Hohbein R, Jakopak RP, Kimiti B, Kurukura S, Lokeny P, Louthan AM, Musila S, Musili PM, Tindall T, Weiner S, Kartzinel TR, Palmer TM, Pringle RM, Goheen JR. Ecological consequences of large herbivore exclusion in an African savanna: 12 years of data from the UHURU experiment. Ecology 2022; 103:e3649. [PMID: 35084743 DOI: 10.1002/ecy.3649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/20/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022]
Abstract
Diverse communities of large mammalian herbivores (LMH), once widespread, are now rare. LMH exert strong direct and indirect effects on community structure and ecosystem functions, and measuring these effects is important for testing ecological theory and for understanding past, current, and future environmental change. This in turn requires long-term experimental manipulations, owing to the slow and often nonlinear responses of populations and assemblages to LMH removal. Moreover, the effects of particular species or body-size classes within diverse LMH guilds are difficult to pinpoint, and the magnitude and even direction of these effects often depends on environmental context. Since 2008, we have maintained the Ungulate Herbivory Under Rainfall Uncertainty (UHURU) experiment, a series of size-selective LMH exclosures replicated across a rainfall/productivity gradient in a semi-arid Kenyan savanna. The goals of the UHURU experiment are to measure the effects of removing successively smaller size classes of LMH (mimicking the process of size-biased extirpation) and to establish how these effects are shaped by spatial and temporal variation in rainfall. The UHURU experiment comprises three LMH-exclusion treatments and an unfenced control, applied to 9 randomized blocks of contiguous 1-ha plots (n = 36). The fenced treatments are: "MEGA" (exclusion of megaherbivores, elephant and giraffe); "MESO" (exclusion of herbivores ≥40 kg); and "TOTAL" (exclusion of herbivores ≥5 kg). Each block is replicated three times at three sites across the 20-km rainfall gradient, which has fluctuated over the course of the experiment. The first five years of data were published previously (Ecological Archives E095-064) and have been used in numerous studies. Since that publication, we have (a) continued to collect data following the original protocols, (b) improved the taxonomic resolution and accuracy of plant and small-mammal identifications, and (c) begun collecting several new data sets. Here, we present updated and extended raw data from the first 12 years of the UHURU experiment (2008-2019). Data include daily rainfall data throughout the experiment; annual surveys of understory plant communities; annual censuses of woody-plant communities; annual measurements of individually tagged woody plants; monthly monitoring of flowering and fruiting phenology; every-other-month small-mammal mark-recapture data; and quarterly large-mammal dung surveys. There are no copyright restrictions; notification of when and how data are used is appreciated and users of UHURU data should cite this data paper when using the data.
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Affiliation(s)
- Jesse M Alston
- Department of Zoology and Physiology, University of Wyoming, 1000 E. University Ave., , Laramie, Wyoming, USA.,Program in Ecology, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming, USA.,Center for Advanced Systems Understanding (CASUS), Untermarkt 20, Görlitz, Germany
| | - Courtney G Reed
- Department of Ecology, Evolution, and Organismal Biology, Brown University, 80 Waterman St., Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, 85 Waterman St., Providence, Rhode Island, USA
| | - Leo M Khasoha
- Department of Zoology and Physiology, University of Wyoming, 1000 E. University Ave., , Laramie, Wyoming, USA.,Program in Ecology, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming, USA.,Mpala Research Centre, P.O. Box 555 - 10400, Nanyuki, Kenya
| | - Bianca R P Brown
- Department of Ecology, Evolution, and Organismal Biology, Brown University, 80 Waterman St., Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, 85 Waterman St., Providence, Rhode Island, USA
| | | | - Nathaniel Carlson
- Department of Ecology and Evolutionary Biology, Cornell University, E145 Corson Hall, Ithaca, New York, USA
| | - Tyler C Coverdale
- Department of Ecology and Evolutionary Biology, Cornell University, E145 Corson Hall, Ithaca, New York, USA.,Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, Massachusetts, USA
| | - Megan Dudenhoeffer
- Department of Veterinary Sciences, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming, USA
| | - Marissa A Dyck
- Biological Sciences Department, Ohio University Irvine 107, Athens, Ohio, USA
| | - John Ekeno
- Mpala Research Centre, P.O. Box 555 - 10400, Nanyuki, Kenya
| | | | - Rhianna Hohbein
- Warnell School of Forestry and Natural Resources, University of Georgia, 180 E. Green Street, , Athens, Georgia, USA
| | - Rhiannon P Jakopak
- Haub School of Environment and Natural Resources, University of Wyoming, 1000 E. University Ave. Laramie, , Wyoming, USA
| | - Buas Kimiti
- Mpala Research Centre, P.O. Box 555 - 10400, Nanyuki, Kenya
| | | | - Peter Lokeny
- Mpala Research Centre, P.O. Box 555 - 10400, Nanyuki, Kenya
| | - Allison M Louthan
- Division of Biology, Kansas State University, 116 Ackert Hall, Manhattan, , Kansas, USA
| | - Simon Musila
- Mammalogy Section, Zoology Department, National Museums of Kenya, P.O. Box 40658- 00100, , Nairobi, Kenya
| | - Paul M Musili
- Botany Department, National Museums of Kenya, P.O. Box 40658- 00100, , Nairobi, Kenya
| | - Tosca Tindall
- Institute of Human Sciences, University of Oxford, 51/53 Banbury Road, Oxford, UK
| | - Sarah Weiner
- Mpala Research Centre, P.O. Box 555 - 10400, Nanyuki, Kenya
| | - Tyler R Kartzinel
- Department of Ecology, Evolution, and Organismal Biology, Brown University, 80 Waterman St., Providence, Rhode Island, USA.,Institute at Brown for Environment and Society, Brown University, 85 Waterman St., Providence, Rhode Island, USA
| | - Todd M Palmer
- Department of Biology, University of Florida, P.O. Box 118525, 220 Bartram Hall, Gainesville, Florida, USA
| | - Robert M Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, 106A Guyot Ln., Princeton, New Jersey, USA
| | - Jacob R Goheen
- Department of Zoology and Physiology, University of Wyoming, 1000 E. University Ave., , Laramie, Wyoming, USA.,Program in Ecology, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming, USA
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11
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Becker JA, Hutchinson MC, Potter AB, Park S, Guyton JA, Abernathy K, Americo VF, Conceiçāo A, Kartzinel TR, Kuziel L, Leonard NE, Lorenzi E, Martins NC, Pansu J, Scott WL, Stahl MK, Torrens KR, Stalmans ME, Long RA, Pringle RM. Ecological and behavioral mechanisms of density‐dependent habitat expansion in a recovering African ungulate population. ECOL MONOGR 2021. [DOI: 10.1002/ecm.1476] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Justine A. Becker
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
- Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, 82072, USA
| | - Matthew C. Hutchinson
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Arjun B. Potter
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Shinkyu Park
- Department of Mechanical and Aerospace Engineering Princeton University Princeton New Jersey 08544 USA
| | - Jennifer A. Guyton
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Kyler Abernathy
- Exploration Technology Lab National Geographic Society Washington D.C. 20036 USA
| | - Victor F. Americo
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Anagledis Conceiçāo
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Tyler R. Kartzinel
- Department of Ecology and Evolutionary Biology Brown University Providence Rhode Island 02912 USA
- Institute at Brown for Environment and Society Brown University Providence Rhode Island 02912 USA
| | - Luca Kuziel
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Naomi E. Leonard
- Department of Mechanical and Aerospace Engineering Princeton University Princeton New Jersey 08544 USA
| | - Eli Lorenzi
- Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA
| | - Nuno C. Martins
- Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA
| | - Johan Pansu
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
- Station Biologique de Roscoff UMR 7144 CNRS‐Sorbonne Université Roscoff France
- CSIRO Ocean & Atmosphere Lucas Heights New South Wales Australia
| | - William L. Scott
- Department of Mechanical Engineering Bucknell University Lewisburg Pennsylvania 17837 USA
| | - Maria K. Stahl
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Kai R. Torrens
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
| | - Marc E. Stalmans
- Department of Scientific Services Parque Nacional da Gorongosa Sofala Mozambique
| | - Ryan A. Long
- Department of Fish and Wildlife Sciences University of Idaho Moscow Idaho 83844 USA
| | - Robert M. Pringle
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA
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12
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Wells HBM, Crego RD, Opedal ØH, Khasoha LM, Alston JM, Reed CG, Weiner S, Kurukura S, Hassan AA, Namoni M, Ekadeli J, Kimuyu DM, Young TP, Kartzinel TR, Palmer TM, Pringle RM, Goheen JR. Experimental evidence that effects of megaherbivores on mesoherbivore space use are influenced by species' traits. J Anim Ecol 2021; 90:2510-2522. [PMID: 34192343 DOI: 10.1111/1365-2656.13565] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/23/2021] [Indexed: 11/27/2022]
Abstract
The extinction of 80% of megaherbivore (>1,000 kg) species towards the end of the Pleistocene altered vegetation structure, fire dynamics and nutrient cycling world-wide. Ecologists have proposed (re)introducing megaherbivores or their ecological analogues to restore lost ecosystem functions and reinforce extant but declining megaherbivore populations. However, the effects of megaherbivores on smaller herbivores are poorly understood. We used long-term exclusion experiments and multispecies hierarchical models fitted to dung counts to test (a) the effect of megaherbivores (elephant and giraffe) on the occurrence (dung presence) and use intensity (dung pile density) of mesoherbivores (2-1,000 kg), and (b) the extent to which the responses of each mesoherbivore species was predictable based on their traits (diet and shoulder height) and phylogenetic relatedness. Megaherbivores increased the predicted occurrence and use intensity of zebras but reduced the occurrence and use intensity of several other mesoherbivore species. The negative effect of megaherbivores on mesoherbivore occurrence was stronger for shorter species, regardless of diet or relatedness. Megaherbivores substantially reduced the expected total use intensity (i.e. cumulative dung density of all species) of mesoherbivores, but only minimally reduced the expected species richness (i.e. cumulative predicted occurrence probabilities of all species) of mesoherbivores (by <1 species). Simulated extirpation of megaherbivores altered use intensity by mesoherbivores, which should be considered during (re)introductions of megaherbivores or their ecological proxies. Species' traits (in this case shoulder height) may be more reliable predictors of mesoherbivores' responses to megaherbivores than phylogenetic relatedness, and may be useful for predicting responses of data-limited species.
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Affiliation(s)
- Harry B M Wells
- Lolldaiga Hills Research Programme, Nanyuki, Kenya.,Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds, UK.,Space for Giants, Nanyuki, Kenya
| | - Ramiro D Crego
- National Zoo and Smithsonian Conservation Biology Institute, Conservation Ecology Center, Front Royal, VA, USA
| | | | - Leo M Khasoha
- Mpala Research Centre, Nanyuki, Kenya.,Program in Ecology, Department of Zoology and Physiology, University of Wyoming, Laramie, WY, USA
| | - Jesse M Alston
- Program in Ecology, Department of Zoology and Physiology, University of Wyoming, Laramie, WY, USA.,Center for Advanced Systems Understanding (CASUS), Görlitz, Germany
| | - Courtney G Reed
- Mpala Research Centre, Nanyuki, Kenya.,Institute at Brown for Environment and Society, Brown University, Providence, RI, USA.,Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Sarah Weiner
- Mpala Research Centre, Nanyuki, Kenya.,Program in Ecology, Department of Zoology and Physiology, University of Wyoming, Laramie, WY, USA
| | | | | | | | | | - Duncan M Kimuyu
- Mpala Research Centre, Nanyuki, Kenya.,Department of Natural Resources, Karatina University, Karatina, Kenya
| | - Truman P Young
- Mpala Research Centre, Nanyuki, Kenya.,Department of Plant Sciences and Ecology Graduate Group, University of California, Davis, CA, USA
| | - Tyler R Kartzinel
- Mpala Research Centre, Nanyuki, Kenya.,Institute at Brown for Environment and Society, Brown University, Providence, RI, USA.,Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Todd M Palmer
- Mpala Research Centre, Nanyuki, Kenya.,Department of Biology, University of Florida, Gainesville, FL, USA
| | - Robert M Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Jacob R Goheen
- Mpala Research Centre, Nanyuki, Kenya.,Program in Ecology, Department of Zoology and Physiology, University of Wyoming, Laramie, WY, USA
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13
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Wang KJ, Huang Y, Majaneva M, Belt ST, Liao S, Novak J, Kartzinel TR, Herbert TD, Richter N, Cabedo-Sanz P. Group 2i Isochrysidales produce characteristic alkenones reflecting sea ice distribution. Nat Commun 2021; 12:15. [PMID: 33397905 PMCID: PMC7782803 DOI: 10.1038/s41467-020-20187-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 11/12/2020] [Indexed: 01/29/2023] Open
Abstract
Alkenones are biomarkers produced solely by algae in the order Isochrysidales that have been used to reconstruct sea surface temperature (SST) since the 1980s. However, alkenone-based SST reconstructions in the northern high latitude oceans show significant bias towards warmer temperatures in core-tops, diverge from other SST proxies in down core records, and are often accompanied by anomalously high relative abundance of the C37 tetra-unsaturated methyl alkenone (%C37:4). Elevated %C37:4 is widely interpreted as an indicator of low sea surface salinity from polar water masses, but its biological source has thus far remained elusive. Here we identify a lineage of Isochrysidales that is responsible for elevated C37:4 methyl alkenone in the northern high latitude oceans through next-generation sequencing and lab-culture experiments. This Isochrysidales lineage co-occurs widely with sea ice in marine environments and is distinct from other known marine alkenone-producers, namely Emiliania huxleyi and Gephyrocapsa oceanica. More importantly, the %C37:4 in seawater filtered particulate organic matter and surface sediments is significantly correlated with annual mean sea ice concentrations. In sediment cores from the Svalbard region, the %C37:4 concentration aligns with the Greenland temperature record and other qualitative regional sea ice records spanning the past 14 kyrs, reflecting sea ice concentrations quantitatively. Our findings imply that %C37:4 is a powerful proxy for reconstructing sea ice conditions in the high latitude oceans on thousand- and, potentially, on million-year timescales.
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Affiliation(s)
- Karen Jiaxi Wang
- grid.40263.330000 0004 1936 9094Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA
| | - Yongsong Huang
- grid.40263.330000 0004 1936 9094Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA
| | - Markus Majaneva
- grid.420127.20000 0001 2107 519XNorwegian Institute for Nature Research (NINA), NO-7485 Trondheim, Norway
| | - Simon T. Belt
- grid.11201.330000 0001 2219 0747Biogeochemistry Research Centre, School of Geography, Earth and Environmental Sciences, Plymouth University, Plymouth, PL4 8AA UK
| | - Sian Liao
- grid.40263.330000 0004 1936 9094Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Department of Chemistry, Brown University, Providence, RI 02912 USA
| | - Joseph Novak
- grid.40263.330000 0004 1936 9094Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI 02912 USA
| | - Tyler R. Kartzinel
- grid.40263.330000 0004 1936 9094Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912 USA
| | - Timothy D. Herbert
- grid.40263.330000 0004 1936 9094Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA
| | - Nora Richter
- grid.40263.330000 0004 1936 9094Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI 02912 USA ,grid.40263.330000 0004 1936 9094Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA ,grid.10914.3d0000 0001 2227 4609Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, Texel, The Netherlands
| | - Patricia Cabedo-Sanz
- grid.11201.330000 0001 2219 0747Biogeochemistry Research Centre, School of Geography, Earth and Environmental Sciences, Plymouth University, Plymouth, PL4 8AA UK
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14
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Kartzinel TR, Pringle RM. Multiple dimensions of dietary diversity in large mammalian herbivores. J Anim Ecol 2020; 89:1482-1496. [PMID: 32163591 DOI: 10.1111/1365-2656.13206] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 01/31/2020] [Indexed: 12/01/2022]
Abstract
Theory predicts that trophic specialization (i.e. low dietary diversity) should make consumer populations sensitive to environmental disturbances. Yet diagnosing specialization is complicated both by the difficulty of precisely quantifying diet composition and by definitional ambiguity: what makes a diet 'diverse'? We sought to characterize the relationship between taxonomic dietary diversity (TDD) and phylogenetic dietary diversity (PDD) in a species-rich community of large mammalian herbivores in a semi-arid East African savanna. We hypothesized that TDD and PDD would be positively correlated within and among species, because taxonomically diverse diets are likely to include plants from many lineages. By using DNA metabarcoding to analyse 1,281 faecal samples collected across multiple seasons, we compiled high-resolution diet profiles for 25 sympatric large-herbivore species. For each of these populations, we calculated TDD and PDD with reference to a DNA reference library for local plants. Contrary to our hypothesis, measures of TDD and PDD were either uncorrelated or negatively correlated with each other. Thus, these metrics reflect distinct dimensions of dietary specialization both within and among species. In general, grazers and ruminants exhibited greater TDD, but lower PDD, than did browsers and non-ruminants. We found significant seasonal variation in TDD and/or PDD for all but four species (Grevy's zebra, buffalo, elephant, Grant's gazelle); however, the relationship between TDD and PDD was consistent across seasons for all but one of the 12 best-sampled species (plains zebra). Our results show that taxonomic generalists can be phylogenetic specialists, and vice versa. These two dimensions of dietary diversity suggest contrasting implications for efforts to predict how consumers will respond to climate change and other environmental perturbations. For example, populations with low TDD may be sensitive to phylogenetically 'random' losses of food species, whereas populations with low PDD may be comparatively more sensitive to environmental changes that disadvantage entire plant lineages-and populations with low dietary diversity in both taxonomic and phylogenetic dimensions may be most vulnerable of all.
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Affiliation(s)
- Tyler R Kartzinel
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Robert M Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
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15
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Guyton JA, Pansu J, Hutchinson MC, Kartzinel TR, Potter AB, Coverdale TC, Daskin JH, da Conceição AG, Peel MJS, Stalmans ME, Pringle RM. Trophic rewilding revives biotic resistance to shrub invasion. Nat Ecol Evol 2020; 4:712-724. [PMID: 31932702 DOI: 10.1038/s41559-019-1068-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 11/20/2019] [Indexed: 11/09/2022]
Abstract
Trophic rewilding seeks to rehabilitate degraded ecosystems by repopulating them with large animals, thereby re-establishing strong top-down interactions. Yet there are very few tests of whether such initiatives can restore ecosystem structure and functions, and on what timescales. Here we show that war-induced collapse of large-mammal populations in Mozambique's Gorongosa National Park exacerbated woody encroachment by the invasive shrub Mimosa pigra-considered one of the world's 100 worst invasive species-and that one decade of concerted trophic rewilding restored this invasion to pre-war baseline levels. Mimosa occurrence increased between 1972 and 2015, a period encompassing the near extirpation of large herbivores during the Mozambican Civil War. From 2015 to 2019, mimosa abundance declined as ungulate biomass recovered. DNA metabarcoding revealed that ruminant herbivores fed heavily on mimosa, and experimental exclosures confirmed the causal role of mammalian herbivory in containing shrub encroachment. Our results provide mechanistic evidence that trophic rewilding has rapidly revived a key ecosystem function (biotic resistance to a notorious woody invader), underscoring the potential for restoring ecological health in degraded protected areas.
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Affiliation(s)
- Jennifer A Guyton
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Johan Pansu
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Station Biologique de Roscoff, UMR 7144 CNRS-Sorbonne Université, Roscoff, France.,CSIRO Ocean & Atmosphere, Lucas Heights, New South Wales, Australia
| | - Matthew C Hutchinson
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Tyler R Kartzinel
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Department of Ecology & Evolutionary Biology, Brown University, Providence, RI, USA
| | - Arjun B Potter
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Tyler C Coverdale
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Joshua H Daskin
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA
| | | | - Mike J S Peel
- ARC-Animal Production Institute, Rangeland Ecology Group, Nelspruit, South Africa
| | - Marc E Stalmans
- Department of Scientific Services, Parque Nacional da Gorongosa, Sofala, Mozambique
| | - Robert M Pringle
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA. .,Department of Scientific Services, Parque Nacional da Gorongosa, Sofala, Mozambique.
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16
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Trapnell DW, Hamrick JL, Smallwood PA, Kartzinel TR, Ishibashi CD, Quigley CTC. Phylogeography of the Neotropical epiphytic orchid, Brassavola nodosa: evidence for a secondary contact zone in northwestern Costa Rica. Heredity (Edinb) 2019; 123:662-674. [PMID: 31015580 PMCID: PMC6972751 DOI: 10.1038/s41437-019-0218-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 02/13/2019] [Accepted: 03/10/2019] [Indexed: 11/08/2022] Open
Abstract
Spatial patterns of genetic variation can reveal otherwise cryptic evolutionary and landscape processes. In northwestern Costa Rica, an approximately concordant genetic discontinuity occurs among populations of several plant species. We conducted phylogeographic analyses of an epiphytic orchid, Brassavola nodosa, to test for genetic discontinuity and to explore its underlying causes. We genotyped 18 populations with 19 nuclear loci and two non-coding chloroplast sequence regions. We estimated genetic diversity and structure, relative importance of pollen and seed dispersal, and divergence time to understand how genetic diversity was spatially partitioned. Nuclear genetic diversity was high with little differentiation among populations (GSTn = 0.065). In contrast, chloroplast haplotypes were highly structured (GSTc = 0.570) and reveal a discontinuity between northwestern and southeastern populations within Costa Rica. Haplotype differences suggest two formerly isolated lineages that diverged ~10,000-100,000 YBP. Haplotype mixing and greater genetic diversity occur in an intermediate transition zone. Patterns of nuclear and chloroplast data were consistent. Different levels of genetic differentiation for the two genomes reflect the relative effectiveness of biotic versus abiotic dispersers of pollen and seeds, respectively. Isolation of the two lineages likely resulted from the complex environmental and geophysical history of the region. Our results suggest a recent cryptic seed dispersal barrier and/or zone of secondary contact. We hypothesize that powerful northeasterly trade winds hinder movement of wind-borne seeds between the two regions, while the multi-directional dispersal of pollen by strong-flying sphinx moths resulted in lower differentiation of nuclear loci.
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Affiliation(s)
- Dorset W Trapnell
- Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA.
| | - J L Hamrick
- Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA
| | | | - Tyler R Kartzinel
- Odum School of Ecology, University of Georgia, Athens, GA, 30602, USA
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
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17
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Pringle RM, Kartzinel TR, Palmer TM, Thurman TJ, Fox-Dobbs K, Xu CCY, Hutchinson MC, Coverdale TC, Daskin JH, Evangelista DA, Gotanda KM, A Man In 't Veld N, Wegener JE, Kolbe JJ, Schoener TW, Spiller DA, Losos JB, Barrett RDH. Predator-induced collapse of niche structure and species coexistence. Nature 2019; 570:58-64. [PMID: 31168105 DOI: 10.1038/s41586-019-1264-6] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 05/01/2019] [Indexed: 12/31/2022]
Abstract
Biological invasions are both a pressing environmental challenge and an opportunity to investigate fundamental ecological processes, such as the role of top predators in regulating biodiversity and food-web structure. In whole-ecosystem manipulations of small Caribbean islands on which brown anole lizards (Anolis sagrei) were the native top predator, we experimentally staged invasions by competitors (green anoles, Anolis smaragdinus) and/or new top predators (curly-tailed lizards, Leiocephalus carinatus). We show that curly-tailed lizards destabilized the coexistence of competing prey species, contrary to the classic idea of keystone predation. Fear-driven avoidance of predators collapsed the spatial and dietary niche structure that otherwise stabilized coexistence, which intensified interspecific competition within predator-free refuges and contributed to the extinction of green-anole populations on two islands. Moreover, whereas adding either green anoles or curly-tailed lizards lengthened food chains on the islands, adding both species reversed this effect-in part because the apex predators were trophic omnivores. Our results underscore the importance of top-down control in ecological communities, but show that its outcomes depend on prey behaviour, spatial structure, and omnivory. Diversity-enhancing effects of top predators cannot be assumed, and non-consumptive effects of predation risk may be a widespread constraint on species coexistence.
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Affiliation(s)
- Robert M Pringle
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.
| | - Tyler R Kartzinel
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Department of Ecology & Evolutionary Biology, Brown University, Providence, RI, USA
| | - Todd M Palmer
- Department of Biology, University of Florida, Gainesville, FL, USA
| | - Timothy J Thurman
- Department of Biology, McGill University, Montreal, Quebec, Canada.,Smithsonian Tropical Research Institute, Panama City, Panama.,Redpath Museum, McGill University, Montreal, Quebec, Canada
| | - Kena Fox-Dobbs
- Department of Geology, University of Puget Sound, Tacoma, WA, USA
| | - Charles C Y Xu
- Department of Biology, McGill University, Montreal, Quebec, Canada.,Redpath Museum, McGill University, Montreal, Quebec, Canada
| | - Matthew C Hutchinson
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Tyler C Coverdale
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Joshua H Daskin
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA
| | - Dominic A Evangelista
- Department of Biological Sciences, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Kiyoko M Gotanda
- Department of Biology, McGill University, Montreal, Quebec, Canada.,Redpath Museum, McGill University, Montreal, Quebec, Canada.,Department of Zoology, University of Cambridge, Cambridge, UK
| | | | - Johanna E Wegener
- Department of Biological Sciences, University of Rhode Island, Kingston, RI, USA
| | - Jason J Kolbe
- Department of Biological Sciences, University of Rhode Island, Kingston, RI, USA
| | - Thomas W Schoener
- Department of Evolution and Ecology, University of California, Davis, CA, USA
| | - David A Spiller
- Department of Evolution and Ecology, University of California, Davis, CA, USA
| | - Jonathan B Losos
- Department of Biology, Washington University, Saint Louis, MO, USA
| | - Rowan D H Barrett
- Department of Biology, McGill University, Montreal, Quebec, Canada.,Redpath Museum, McGill University, Montreal, Quebec, Canada
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18
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Gill BA, Musili PM, Kurukura S, Hassan AA, Goheen JR, Kress WJ, Kuzmina M, Pringle RM, Kartzinel TR. Plant DNA‐barcode library and community phylogeny for a semi‐arid East African savanna. Mol Ecol Resour 2019; 19:838-846. [DOI: 10.1111/1755-0998.13001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/10/2019] [Accepted: 01/23/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Brian A. Gill
- Institute for Environment and Society Brown University Providence Rhode Island
| | - Paul M. Musili
- East African Herbarium National Museums of Kenya Nairobi Kenya
| | | | | | - Jacob R. Goheen
- Departments of Zoology and Physiology University of Wyoming Laramie Wyoming
| | - W. John Kress
- National Museum of Natural History Smithsonian Institution Washington District of Columbia
| | - Maria Kuzmina
- Center for Biodiversity Genomics University of Guelph Guelph Ontario Canada
| | - Robert M. Pringle
- Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey
| | - Tyler R. Kartzinel
- Institute for Environment and Society Brown University Providence Rhode Island
- Department of Ecology and Evolutionary Biology Brown University Providence Rhode Island
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19
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Reese AT, Pereira FC, Schintlmeister A, Berry D, Wagner M, Hale LP, Wu A, Jiang S, Durand HK, Zhou X, Premont RT, Diehl AM, O'Connell TM, Alberts SC, Kartzinel TR, Pringle RM, Dunn RR, Wright JP, David LA. Microbial nitrogen limitation in the mammalian large intestine. Nat Microbiol 2018; 3:1441-1450. [PMID: 30374168 PMCID: PMC6264799 DOI: 10.1038/s41564-018-0267-7] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 09/10/2018] [Indexed: 02/07/2023]
Abstract
Resource limitation is a fundamental factor governing the composition and function of ecological communities. However, the role of resource supply in structuring the intestinal microbiome has not been established and represents a challenge for mammals that rely on microbial symbionts for digestion: too little supply might starve the microbiome while too much might starve the host. We present evidence that microbiota occupy a habitat that is limited in total nitrogen supply within the large intestines of 30 mammal species. Lowering dietary protein levels in mice reduced their faecal concentrations of bacteria. A gradient of stoichiometry along the length of the gut was consistent with the hypothesis that intestinal nitrogen limitation results from host absorption of dietary nutrients. Nitrogen availability is also likely to be shaped by host-microbe interactions: levels of host-secreted nitrogen were altered in germ-free mice and when bacterial loads were reduced via experimental antibiotic treatment. Single-cell spectrometry revealed that members of the phylum Bacteroidetes consumed nitrogen in the large intestine more readily than other commensal taxa did. Our findings support a model where nitrogen limitation arises from preferential host use of dietary nutrients. We speculate that this resource limitation could enable hosts to regulate microbial communities in the large intestine. Commensal microbiota may have adapted to nitrogen-limited settings, suggesting one reason why excess dietary protein has been associated with degraded gut-microbial ecosystems.
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Affiliation(s)
- Aspen T Reese
- Department of Biology, Duke University, Durham, NC, USA
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Fátima C Pereira
- Department of Microbiology and Ecosystem Science, Division of Microbial Ecology, Research Network Chemistry Meets Microbiology, University of Vienna, Vienna, Austria
| | - Arno Schintlmeister
- Department of Microbiology and Ecosystem Science, Division of Microbial Ecology, Research Network Chemistry Meets Microbiology, University of Vienna, Vienna, Austria
- Large-Instrument Facility for Advanced Isotope Research, Research Network Chemistry Meets Microbiology, University of Vienna, Vienna, Austria
| | - David Berry
- Department of Microbiology and Ecosystem Science, Division of Microbial Ecology, Research Network Chemistry Meets Microbiology, University of Vienna, Vienna, Austria
| | - Michael Wagner
- Department of Microbiology and Ecosystem Science, Division of Microbial Ecology, Research Network Chemistry Meets Microbiology, University of Vienna, Vienna, Austria
- Large-Instrument Facility for Advanced Isotope Research, Research Network Chemistry Meets Microbiology, University of Vienna, Vienna, Austria
| | - Laura P Hale
- Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - Anchi Wu
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Sharon Jiang
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Heather K Durand
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Xiyou Zhou
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Richard T Premont
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Anna Mae Diehl
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Thomas M O'Connell
- Department of Otolaryngology - Head & Neck Surgery, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Susan C Alberts
- Department of Biology, Duke University, Durham, NC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
| | - Tyler R Kartzinel
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Robert M Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Robert R Dunn
- Department of Applied Ecology, North Carolina State University, Raleigh, NC, USA
| | | | - Lawrence A David
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA.
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA.
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Deagle BE, Thomas AC, McInnes JC, Clarke LJ, Vesterinen EJ, Clare EL, Kartzinel TR, Eveson JP. Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data? Mol Ecol 2018; 28:391-406. [PMID: 29858539 PMCID: PMC6905394 DOI: 10.1111/mec.14734] [Citation(s) in RCA: 263] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 05/28/2018] [Accepted: 05/30/2018] [Indexed: 02/06/2023]
Abstract
Advances in DNA sequencing technology have revolutionized the field of molecular analysis of trophic interactions, and it is now possible to recover counts of food DNA sequences from a wide range of dietary samples. But what do these counts mean? To obtain an accurate estimate of a consumer's diet should we work strictly with data sets summarizing frequency of occurrence of different food taxa, or is it possible to use relative number of sequences? Both approaches are applied to obtain semi-quantitative diet summaries, but occurrence data are often promoted as a more conservative and reliable option due to taxa-specific biases in recovery of sequences. We explore representative dietary metabarcoding data sets and point out that diet summaries based on occurrence data often overestimate the importance of food consumed in small quantities (potentially including low-level contaminants) and are sensitive to the count threshold used to define an occurrence. Our simulations indicate that using relative read abundance (RRA) information often provides a more accurate view of population-level diet even with moderate recovery biases incorporated; however, RRA summaries are sensitive to recovery biases impacting common diet taxa. Both approaches are more accurate when the mean number of food taxa in samples is small. The ideas presented here highlight the need to consider all sources of bias and to justify the methods used to interpret count data in dietary metabarcoding studies. We encourage researchers to continue addressing methodological challenges and acknowledge unanswered questions to help spur future investigations in this rapidly developing area of research.
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Affiliation(s)
- Bruce E Deagle
- Australian Antarctic Division, Channel Highway, Kingston, TAS, Australia
| | | | - Julie C McInnes
- Australian Antarctic Division, Channel Highway, Kingston, TAS, Australia
| | - Laurence J Clarke
- Australian Antarctic Division, Channel Highway, Kingston, TAS, Australia.,Antarctic Climate & Ecosystems Cooperative Research Centre, University of Tasmania, Hobart, TAS, Australia
| | - Eero J Vesterinen
- Biodiversity Unit and Department of Biology, University of Turku, Turku, Finland.,Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Elizabeth L Clare
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Tyler R Kartzinel
- Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island
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Goheen JR, Augustine DJ, Veblen KE, Kimuyu DM, Palmer TM, Porensky LM, Pringle RM, Ratnam J, Riginos C, Sankaran M, Ford AT, Hassan AA, Jakopak R, Kartzinel TR, Kurukura S, Louthan AM, Odadi WO, Otieno TO, Wambua AM, Young HS, Young TP. Conservation lessons from large-mammal manipulations in East African savannas: the KLEE, UHURU, and GLADE experiments. Ann N Y Acad Sci 2018; 1429:31-49. [DOI: 10.1111/nyas.13848] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 04/03/2018] [Accepted: 04/06/2018] [Indexed: 11/26/2022]
Affiliation(s)
- Jacob R. Goheen
- Department of Zoology and Physiology; University of Wyoming; Laramie Wyoming
- Mpala Research Centre; Nanyuki Kenya
| | | | - Kari E. Veblen
- Department of Wildland Resources and Ecology Center; Utah State University; Logan Utah
| | - Duncan M. Kimuyu
- Department of Wildland Resources and Ecology Center; Utah State University; Logan Utah
- Mpala Research Centre; Nanyuki Kenya
| | - Todd M. Palmer
- Department of Biology; University of Florida; Gainesville Florida
- Mpala Research Centre; Nanyuki Kenya
| | | | - Robert M. Pringle
- Department of Ecology and Evolutionary Biology; Princeton University; Princeton New Jersey
- Mpala Research Centre; Nanyuki Kenya
| | | | | | - Mahesh Sankaran
- National Centre for Biological Sciences, TIFR; Bangalore India
- School of Biology, University of Leeds; Leeds United Kingdom
| | - Adam T. Ford
- Department of Biology; University of British Columbia; Kelowna British Columbia Canada
| | | | - Rhiannon Jakopak
- Department of Zoology and Physiology; University of Wyoming; Laramie Wyoming
| | - Tyler R. Kartzinel
- Department of Ecology and Evolutionary Biology; Brown University; Providence Rhode Island
| | | | | | - Wilfred O. Odadi
- Department of Natural Resources; Egerton University; Egerton Kenya
- Mpala Research Centre; Nanyuki Kenya
| | | | - Alois M. Wambua
- Department of Wildland Resources and Ecology Center; Utah State University; Logan Utah
- Mpala Research Centre; Nanyuki Kenya
| | - Hillary S. Young
- Department of Ecology, Evolution and Marine Biology; University of California; Santa Barbara California
| | - Truman P. Young
- Department of Plant Sciences; University of California; Davis California
- Mpala Research Centre; Nanyuki Kenya
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Budischak SA, Hansen CB, Caudron Q, Garnier R, Kartzinel TR, Pelczer I, Cressler CE, van Leeuwen A, Graham AL. Feeding Immunity: Physiological and Behavioral Responses to Infection and Resource Limitation. Front Immunol 2018; 8:1914. [PMID: 29358937 PMCID: PMC5766659 DOI: 10.3389/fimmu.2017.01914] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 12/14/2017] [Indexed: 01/17/2023] Open
Abstract
Resources are a core currency of species interactions and ecology in general (e.g., think of food webs or competition). Within parasite-infected hosts, resources are divided among the competing demands of host immunity and growth as well as parasite reproduction and growth. Effects of resources on immune responses are increasingly understood at the cellular level (e.g., metabolic predictors of effector function), but there has been limited consideration of how these effects scale up to affect individual energetic regimes (e.g., allocation trade-offs), susceptibility to infection, and feeding behavior (e.g., responses to local resource quality and quantity). We experimentally rewilded laboratory mice (strain C57BL/6) in semi-natural enclosures to investigate the effects of dietary protein and gastrointestinal nematode (Trichuris muris) infection on individual-level immunity, activity, and behavior. The scale and realism of this field experiment, as well as the multiple physiological assays developed for laboratory mice, enabled us to detect costs, trade-offs, and potential compensatory mechanisms that mice employ to battle infection under different resource conditions. We found that mice on a low-protein diet spent more time feeding, which led to higher body fat stores (i.e., concentration of a satiety hormone, leptin) and altered metabolite profiles, but which did not fully compensate for the effects of poor nutrition on albumin or immune defenses. Specifically, immune defenses measured as interleukin 13 (IL13) (a primary cytokine coordinating defense against T. muris) and as T. muris-specific IgG1 titers were lower in mice on the low-protein diet. However, these reduced defenses did not result in higher worm counts in mice with poorer diets. The lab mice, living outside for the first time in thousands of generations, also consumed at least 26 wild plant species occurring in the enclosures, and DNA metabarcoding revealed that the consumption of different wild foods may be associated with differences in leptin concentrations. When individual foraging behavior was accounted for, worm infection significantly reduced rates of host weight gain. Housing laboratory mice in outdoor enclosures provided new insights into the resource costs of immune defense to helminth infection and how hosts modify their behavior to compensate for those costs.
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Affiliation(s)
- Sarah A. Budischak
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
| | - Christina B. Hansen
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
| | - Quentin Caudron
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
| | - Romain Garnier
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Tyler R. Kartzinel
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, United States
| | - István Pelczer
- Department of Chemistry, Princeton University, Princeton, NJ, United States
| | - Clayton E. Cressler
- School of Biological Sciences, University of Nebraska, Lincoln, NE, United States
| | - Anieke van Leeuwen
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
- NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, Texel, Netherlands
| | - Andrea L. Graham
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
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Coverdale TC, Kartzinel TR, Grabowski KL, Shriver RK, Hassan AA, Goheen JR, Palmer TM, Pringle RM. Elephants in the understory: opposing direct and indirect effects of consumption and ecosystem engineering by megaherbivores. Ecology 2017; 97:3219-3230. [PMID: 27870025 DOI: 10.1002/ecy.1557] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 05/20/2016] [Accepted: 06/13/2016] [Indexed: 11/10/2022]
Abstract
Positive indirect effects of consumers on their resources can stabilize food webs by preventing overexploitation, but the coupling of trophic and non-trophic interactions remains poorly integrated into our understanding of community dynamics. Elephants engineer African savanna ecosystems by toppling trees and breaking branches, and although their negative effects on trees are well documented, their effects on small-statured plants remain poorly understood. Using data on 117 understory plant taxa collected over 7 yr within 36 1-ha experimental plots in a semi-arid Kenyan savanna, we measured the strength and direction of elephant impacts on understory vegetation. We found that elephants had neutral effects on most (83-89%) species, with a similar frequency of positive and negative responses among the remainder. Overall, estimated understory biomass was 5-14% greater in the presence of elephants across a range of rainfall levels. Whereas direct consumption likely accounts for the negative effects, positive effects are presumably indirect. We hypothesized that elephants create associational refuges for understory plants by damaging tree canopies in ways that physically inhibit feeding by other large herbivores. As predicted, understory biomass and species richness beneath elephant-damaged trees were 55% and 21% greater, respectively, than under undamaged trees. Experimentally simulated elephant damage increased understory biomass by 37% and species richness by 49% after 1 yr. Conversely, experimentally removing elephant damaged branches decreased understory biomass by 39% and richness by 30% relative to sham-manipulated trees. Camera-trap surveys revealed that elephant damage reduced the frequency of herbivory by 71%, whereas we detected no significant effect of damage on temperature, light, or soil moisture. We conclude that elephants locally facilitate understory plants by creating refuges from herbivory, which countervails the direct negative effects of consumption and enhances larger-scale biomass and diversity by promoting the persistence of rare and palatable species. Our results offer a counterpoint to concerns about the deleterious impacts of elephant "overpopulation" that should be considered in debates over wildlife management in African protected areas: understory species comprise the bulk of savanna plant biodiversity, and their responses to elephants are buffered by the interplay of opposing consumptive and non-consumptive interactions.
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Affiliation(s)
- Tyler C Coverdale
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, 08544, USA
| | - Tyler R Kartzinel
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, 08544, USA
| | - Kathryn L Grabowski
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, 08544, USA
| | - Robert K Shriver
- University Program in Ecology, Duke University, Durham, North Carolina, 27708, USA
| | | | - Jacob R Goheen
- Department of Zoology & Physiology, University of Wyoming, Laramie, Wyoming, 82071, USA
| | - Todd M Palmer
- Department of Biology, University of Florida, Gainesville, Florida, 32611, USA
| | - Robert M Pringle
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, 08544, USA
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Affiliation(s)
- Tyler R. Kartzinel
- Odum School of Ecology; The University of Georgia; 140 East Green Street Athens GA 30602 U.S.A
| | - Dakotah A. Campbell
- Department of Plant Biology; The University of Georgia; Athens GA 30602 U.S.A
| | - Dorset W. Trapnell
- Department of Plant Biology; The University of Georgia; Athens GA 30602 U.S.A
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Kartzinel TR, Hamrick JL, Wang C, Bowsher AW, Quigley BGP. Heterogeneity of clonal patterns among patches of kudzu, Pueraria montana var. lobata, an invasive plant. Ann Bot 2015; 116:739-750. [PMID: 26229064 PMCID: PMC4590328 DOI: 10.1093/aob/mcv117] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 04/10/2015] [Accepted: 06/22/2015] [Indexed: 06/04/2023]
Abstract
BACKGROUND AND AIMS Viny species are among the most serious invasive plants, and better knowledge of how vines grow to dominate landscapes is needed. Patches may contain a single genotype (i.e. genet), a competitively dominant genet or many independent but interacting genets, yet the clonal structure of vining species is often not apparent. Molecular markers can discriminate among the genetic identities of entwined vines to reveal the number and spatial distribution of genets. This study investigated how genets are spatially distributed within and among discrete patches of the invasive vine kudzu, Pueraria montana var. lobata, in the United States. It was expected that ramets of genets would be spatially clustered within patches, and that an increase in the number of genets within a patch would be associated with a decrease in the average size of each genet. METHODS Six discrete kudzu patches were sampled across 2 years, and 1257 samples were genotyped at 21 polymorphic allozyme loci. Variation in genotypic and genetic diversity among patches was quantified and patterns of genet interdigitation were analysed. KEY RESULTS Substantial genotypic and genetic variation occurred within and among patches. As few as ten overlapping genets spanned up to 68 m(2) in one patch, while >90 % of samples were genetically unique in another patch. Genotypic diversity within patches increased as mean clone size decreased, although spatially widespread genets did not preclude interdigitation. Eight genets were shared across ≥2 patches, suggesting that vegetative dispersal can occur among patches. CONCLUSIONS Genetically unique kudzu vines are highly interdigitated. Multiple vegetative propagules have become established in spatially discrete patches, probably through the movement of highway construction or maintenance machinery. The results suggest that common methods for controlling invasive vines (e.g. mowing) may inadvertently increase genotypic diversity. Thus, understanding vine architecture and growth has practical implications.
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Affiliation(s)
| | - J L Hamrick
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA and
| | - Chongyun Wang
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA and Institute of Ecology and Geobotany, Yunnan University, Kunming, 650091, China
| | - Alan W Bowsher
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA and
| | - Bryan G P Quigley
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA and
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Kartzinel TR, Pringle RM. Molecular detection of invertebrate prey in vertebrate diets: trophic ecology of Caribbean island lizards. Mol Ecol Resour 2015; 15:903-14. [PMID: 25545675 DOI: 10.1111/1755-0998.12366] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Revised: 12/18/2014] [Accepted: 12/19/2014] [Indexed: 02/07/2023]
Abstract
Understanding community assembly and population dynamics frequently requires detailed knowledge of food web structure. For many consumers, obtaining precise information about diet composition has traditionally required sacrificing animals or other highly invasive procedures, generating tension between maintaining intact study populations and knowing what they eat. We developed 16S mitochondrial DNA sequencing methods to identify arthropods in the diets of generalist vertebrate predators without requiring a blocking primer. We demonstrate the utility of these methods for a common Caribbean lizard that has been intensively studied in the context of small island food webs: Anolis sagrei (a semi-arboreal 'trunk-ground' anole ecomorph). Novel PCR primers were identified in silico and tested in vitro. Illumina sequencing successfully characterized the arthropod component of 168 faecal DNA samples collected during three field trips spanning 12 months, revealing 217 molecular operational taxonomic units (mOTUs) from at least nine arthropod orders (including Araneae, Blattodea, Coleoptera, Hemiptera, Hymenoptera, Isoptera, Lepidoptera and Orthoptera). Three mOTUs (one beetle, one cockroach and one ant) were particularly frequent, occurring in ≥50% of samples, but the majority of mOTUs were infrequent (180, or 83%, occurred in ≤5% of samples). Species accumulation curves showed that dietary richness and composition were similar between size-dimorphic sexes; however, female lizards had greater per-sample dietary richness than males. Overall diet composition (but not richness) was significantly different across seasons, and we found more pronounced interindividual variation in December than in May. These methods will be generally useful in characterizing the diets of diverse insectivorous vertebrates.
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Affiliation(s)
- Tyler R Kartzinel
- Department of Ecology & Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ, 08544, USA
| | - Robert M Pringle
- Department of Ecology & Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ, 08544, USA
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Kartzinel TR, Goheen JR, Charles GK, DeFranco E, Maclean JE, Otieno TO, Palmer TM, Pringle RM. Plant and small-mammal responses to large-herbivore exclusion in an African savanna: five years of the UHURU experiment. Ecology 2014. [DOI: 10.1890/13-1023r.1] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Kartzinel TR, Shefferson RP, Trapnell DW. Relative importance of pollen and seed dispersal across a Neotropical mountain landscape for an epiphytic orchid. Mol Ecol 2013; 22:6048-59. [DOI: 10.1111/mec.12551] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Revised: 09/30/2013] [Accepted: 10/02/2013] [Indexed: 11/28/2022]
Affiliation(s)
- Tyler R. Kartzinel
- Odum School of Ecology; The University of Georgia; 140 East Green Street Athens GA 30602 USA
| | - Richard P. Shefferson
- Odum School of Ecology; The University of Georgia; 140 East Green Street Athens GA 30602 USA
| | - Dorset W. Trapnell
- Department of Plant Biology; The University of Georgia; Athens GA 30602 USA
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Kartzinel TR, Trapnell DW, Shefferson RP. Highly diverse and spatially heterogeneous mycorrhizal symbiosis in a rare epiphyte is unrelated to broad biogeographic or environmental features. Mol Ecol 2013; 22:5949-61. [PMID: 24112555 DOI: 10.1111/mec.12536] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2013] [Revised: 09/05/2013] [Accepted: 09/17/2013] [Indexed: 11/26/2022]
Abstract
Symbiotic interactions are common in nature. In dynamic or degraded environments, the ability to associate with multiple partners (i.e. broad specificity) may enable species to persist through fluctuations in the availability of any particular partner. Understanding how species interactions vary across landscapes is necessary to anticipate direct and indirect consequences of environmental degradation on species conservation. We asked whether mycorrhizal symbiosis by populations of a rare epiphytic orchid (Epidendrum firmum) is related to geographic or environmental heterogeneity. The latter would suggest that interactions are governed by environmental conditions rather than historic isolation of populations and/or mycorrhizal fungi. We used DNA-based methods to identify mycorrhizal fungi from eleven E. firmum populations in Costa Rica. We used molecular and phylogenetic analyses to compare associations. Epidendrum firmum exhibited broad specificity, associating with diverse mycorrhizal fungi, including six Tulasnellaceae molecular operational taxonomic units (MOTUs), five Sebacinales MOTUs and others. Notably, diverse mycorrhizal symbioses formed in disturbed pasture and roadside habitats. Mycorrhizal fungi exhibited significant similarity within populations (spatial and phylogenetic autocorrelation) and significant differences among populations (phylogenetic community dissimilarity). However, mycorrhizal symbioses were not significantly associated with biogeographic or environmental features. Such unexpected heterogeneity among populations may result from complex combinations of fine-scale environmental factors and macro-evolutionary patterns of change in mycorrhizal specificity. Thus, E. firmum exhibits broad specificity and the potential for opportunistic associations with diverse fungi. We suggest that these characteristics could confer symbiotic assurance when mycorrhizal fungi are stochastically available, which may be crucial in dynamic or disturbed habitats such as tropical forest canopies.
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Affiliation(s)
- Tyler R Kartzinel
- Odum School of Ecology, The University of Georgia, 140 East Green Street, Athens, GA, 30602, USA
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Trapnell DW, Hamrick JL, Ishibashi CD, Kartzinel TR. Genetic inference of epiphytic orchid colonization; it may only take one. Mol Ecol 2013; 22:3680-92. [DOI: 10.1111/mec.12338] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2012] [Revised: 03/20/2013] [Accepted: 03/26/2013] [Indexed: 11/29/2022]
Affiliation(s)
- Dorset W. Trapnell
- Department of Plant Biology; University of Georgia; Athens Georgia 30602 USA
| | - J. L. Hamrick
- Department of Plant Biology; University of Georgia; Athens Georgia 30602 USA
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Abstract
PREMISE OF THE STUDY Ten microsatellite loci were isolated and characterized for the neotropical epiphytic orchid Epidendrum firmum to examine levels of genetic diversity and genetic structure at multiple spatial scales. METHODS AND RESULTS We screened loci in 12-25 individuals from each of two populations in Costa Rica and identified 10 polymorphic loci. The number of alleles per locus ranged from one to 15 while observed heterozygosity for polymorphic loci ranged from 0.360 to 0.960. CONCLUSIONS Primers for these informative genetic markers will be useful for quantifying genetic diversity, spatial genetic structure, and gene flow in E. firmum.
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Affiliation(s)
- Tyler R Kartzinel
- Odum School of Ecology, University of Georgia, 140 E. Green Street, Athens, Georgia 30602 USA.
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