Bridget J. Piculell
University of Mississippi
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Featured researches published by Bridget J. Piculell.
BMC Biology | 2008
Bridget J. Piculell; Jason D. Hoeksema; John N. Thompson
BackgroundGeographic selection mosaics, in which species exert different evolutionary impacts on each other in different environments, may drive diversification in coevolving species. We studied the potential for geographic selection mosaics in plant-mycorrhizal interactions by testing whether the interaction between bishop pine (Pinus muricata D. Don) and one of its common ectomycorrhizal fungi (Rhizopogon occidentalis Zeller and Dodge) varies in outcome, when different combinations of plant and fungal genotypes are tested under a range of different abiotic and biotic conditions.ResultsWe used a 2 × 2 × 2 × 2 factorial experiment to test the main and interactive effects of plant lineage (two maternal seed families), fungal lineage (two spore collections), soil type (lab mix or field soil), and non-mycorrhizal microbes (with or without) on the performance of plants and fungi. Ecological outcomes, as assessed by plant and fungal performance, varied widely across experimental environments, including interactions between plant or fungal lineages and soil environmental factors.ConclusionThese results show the potential for selection mosaics in plant-mycorrhizal interactions, and indicate that these interactions are likely to coevolve in different ways in different environments, even when initially the genotypes of the interacting species are the same across all environments. Hence, selection mosaics may be equally as effective as genetic differences among populations in driving divergent coevolution among populations of interacting species.
BMC Evolutionary Biology | 2016
Megan A. Rúa; Anita J. Antoninka; Pedro M. Antunes; V. Bala Chaudhary; Catherine A. Gehring; Louis J. Lamit; Bridget J. Piculell; James D. Bever; Cathy Zabinski; James F. Meadow; Marc J. Lajeunesse; Brook G. Milligan; Justine Karst; Jason D. Hoeksema
BackgroundLocal adaptation, the differential success of genotypes in their native versus foreign environment, arises from various evolutionary processes, but the importance of concurrent abiotic and biotic factors as drivers of local adaptation has only recently been investigated. Local adaptation to biotic interactions may be particularly important for plants, as they associate with microbial symbionts that can significantly affect their fitness and may enable rapid evolution. The arbuscular mycorrhizal (AM) symbiosis is ideal for investigations of local adaptation because it is globally widespread among most plant taxa and can significantly affect plant growth and fitness. Using meta-analysis on 1170 studies (from 139 papers), we investigated the potential for local adaptation to shape plant growth responses to arbuscular mycorrhizal inoculation.ResultsThe magnitude and direction for mean effect size of mycorrhizal inoculation on host biomass depended on the geographic origin of the soil and symbiotic partners. Sympatric combinations of plants, AM fungi, and soil yielded large increases in host biomass compared to when all three components were allopatric. The origin of either the fungi or the plant relative to the soil was important for explaining the effect of AM inoculation on plant biomass. If plant and soil were sympatric but allopatric to the fungus, the positive effect of AM inoculation was much greater than when all three components were allopatric, suggesting potential local adaptation of the plant to the soil; however, if fungus and soil were sympatric (but allopatric to the plant) the effect of AM inoculation was indistinct from that of any allopatric combinations, indicating maladaptation of the fungus to the soil.ConclusionsThis study underscores the potential to detect local adaptation for mycorrhizal relationships across a broad swath of the literature. Geographic origin of plants relative to the origin of AM fungal communities and soil is important for describing the effect of mycorrhizal inoculation on plant biomass, suggesting that local adaptation represents a powerful factor for the establishment of novel combinations of fungi, plants, and soils. These results highlight the need for subsequent investigations of local adaptation in the mycorrhizal symbiosis and emphasize the importance of routinely considering the origin of plant, soil, and fungal components.
Scientific Data | 2016
V. Bala Chaudhary; Megan A. Rúa; Anita J. Antoninka; James D. Bever; Jeffery B. Cannon; Ashley J. Craig; Jessica Duchicela; Alicia Frame; Monique Gardes; Catherine A. Gehring; Michelle Ha; Miranda M. Hart; Jacob Hopkins; Baoming Ji; Nancy Collins Johnson; Wittaya Kaonongbua; Justine Karst; Roger T. Koide; Louis J. Lamit; James F. Meadow; Brook G. Milligan; John C. Moore; Thomas H. Pendergast; Bridget J. Piculell; Blake D. Ramsby; Suzanne W. Simard; Shubha Shrestha; James Umbanhowar; Wolfgang Viechtbauer; Lawrence L. Walters
Plants form belowground associations with mycorrhizal fungi in one of the most common symbioses on Earth. However, few large-scale generalizations exist for the structure and function of mycorrhizal symbioses, as the nature of this relationship varies from mutualistic to parasitic and is largely context-dependent. We announce the public release of MycoDB, a database of 4,010 studies (from 438 unique publications) to aid in multi-factor meta-analyses elucidating the ecological and evolutionary context in which mycorrhizal fungi alter plant productivity. Over 10 years with nearly 80 collaborators, we compiled data on the response of plant biomass to mycorrhizal fungal inoculation, including meta-analysis metrics and 24 additional explanatory variables that describe the biotic and abiotic context of each study. We also include phylogenetic trees for all plants and fungi in the database. To our knowledge, MycoDB is the largest ecological meta-analysis database. We aim to share these data to highlight significant gaps in mycorrhizal research and encourage synthesis to explore the ecological and evolutionary generalities that govern mycorrhizal functioning in ecosystems.
Communicative & Integrative Biology | 2009
Jason D. Hoeksema; Bridget J. Piculell; John N. Thompson
The geographic mosaic theory of coevolution hypothesizes that natural selection on species interactions varies among ecosystems, partly because the genes involved in species interactions differ in their fitness effects among environments. This selection mosaic may be expressed, at the extreme, as ecological outcomes ranging from mutualism to parasitism among environments. In a recent laboratory experiment on the interaction between a plant, bishop pine (Pinus muricata), and a root-symbiotic ectomycorrhizal fungus, Rhizopogon occidentalis, we demonstrated the potential for selection mosaics in that interaction, and the existence of substantial within-population genetic variation for symbiotic compatibility in the interaction. Here, we present the results from a second experiment on the interaction between the same ectomycorrhizal fungus and a different plant, shore pine (Pinus contorta var. contorta), designed to test for the presence of genetic variation for symbiotic compatibility in another similar system, and also to test whether such variation might be generated in part by adaptation of fungal lineages to individual trees. In this experiment, we found no genetic variation among plant lineages for compatibility with the fungal symbiont, and no evidence for adaptation of fungal lineages to individual plants, but the two fungal genotypes differed greatly in their compatibility with the plant hosts. Specifically, one of the two fungal genotypes not only colonized host plants less intensively than the other, but also had a negative effect on plant growth. Altogether, these results suggest the potential for ongoing natural selection on the ectomycorrhizal fungus, R. occidentalis, for different levels of symbiotic compatibility with particular pine hosts, but the mechanisms generating and maintaining genetic variation for symbiotic compatibility remain unclear. Such results will aid in efforts to develop realistic models of how plants and their symbionts coevolve over broad geographic ranges in which they co-occur.
Mycologia | 2013
Justine Karst; Bridget J. Piculell; Christy Brigham; Michael G. Booth; Jason D. Hoeksema
We investigated the community composition and diversity of soil fungi along a sharp vegetative ecotone between coastal sage scrub (CSS) and nonnative annual grassland habitat at two sites in coastal California. USA- We pooled soil samples across 29 m transects on either side of the ecotone at each of the two sites, and. using clone libraries of fungal ribosomal DNA, we identified 280 operational taxonomic units (OTUs) from a total 40 g soil. We combined information from partial LSU and ITS sequences and found that the majority of OTUs belonged to the phylum Ascomycota, followed by Basidiomycota. Within the Ascomycota. a quarter of OTUs were Sordariomycetes. 17% were Leotiomycet.es, 16% were Dothideomycetes and the remaining OTUs were distributed among the classes Eurotiomycetes, Pezizomycetes, Lecanoromycetes, Orbiliomycetes and Arthoniomycetes. Within the Basidiomycota. all OTUs but one belonged to the subphylum Agaricomycotina. We also sampled plant communities at the same sites to offer a point of comparison for patterns in richness of fungal communities. Fungal communities had higher alpha and beta diversity than plant communities; fungal communities were approximately 20 times as rich as plant communities and the majority of OTUs were found in single soil samples. Soils harbored a unique mycoflora that did not reveal vegetative boundaries or site differences. High alpha and beta diversity and possible sampling artifacts necessitate extensive sampling to reveal differentiation in these fungal communities.
Ecology and Evolution | 2018
Bridget J. Piculell; Lori G. Eckhardt; Jason D. Hoeksema
Abstract Selection on genetically correlated traits within species can create indirect effects on one trait by selection on another. The consequences of these trait correlations are of interest because they may influence how suites of traits within species evolve under differing selection pressures, both natural and artificial. By utilizing genetic families of loblolly pine either tolerant (t) or susceptible (s) to two different suites of pathogenic fungi responsible for causing either pine decline or fusiform rust disease, we investigated trait variation and trait correlations within loblolly pine (Pinus taeda L.) by determining how ectomycorrhizal (EM) colonization relates to pathogen susceptibility. We detected interactions between susceptibility to pathogenic fungi and soil inoculation source on loblolly pine compatibility with the EM fungi Thelephora, and on relative growth rate of loblolly pine. Additionally, we detected spatial variation in the loblolly pine–EM fungi interaction, and found that variation in colonization rates by some members of the EM community is not dictated by genetic variation in the host plant but rather soil inoculation source alone. The work presented here illustrates the potential for indirect selection on compatibility with symbiotic EM fungi as a result of selection for resistance to fungal pathogens. Additionally, we present evidence that the host plant does not have a single “mycorrhizal trait” governing interactions with all EM fungi, but rather that it can interact with different fungal taxa independently. Synthesis. An understanding of the genetic architecture of essential traits in focal species is crucial if we are to anticipate and manage the results of natural and artificial selection. As demonstrated here, an essential but often overlooked symbiosis (that between plants and mycorrhizal fungi) may be indirectly influenced by directed selection on the host plant.
Communications Biology | 2018
Jason D. Hoeksema; James D. Bever; Sounak Chakraborty; V. Bala Chaudhary; Monique Gardes; Catherine A. Gehring; Miranda M. Hart; Elizabeth A. Housworth; Wittaya Kaonongbua; John N. Klironomos; Marc J. Lajeunesse; James F. Meadow; Brook G. Milligan; Bridget J. Piculell; Anne Pringle; Megan A. Rúa; James Umbanhowar; Wolfgang Viechtbauer; Yen-Wen Wang; Gail W. T. Wilson; Peter C. Zee
Most plants engage in symbioses with mycorrhizal fungi in soils and net consequences for plants vary widely from mutualism to parasitism. However, we lack a synthetic understanding of the evolutionary and ecological forces driving such variation for this or any other nutritional symbiosis. We used meta-analysis across 646 combinations of plants and fungi to show that evolutionary history explains substantially more variation in plant responses to mycorrhizal fungi than the ecological factors included in this study, such as nutrient fertilization and additional microbes. Evolutionary history also has a different influence on outcomes of ectomycorrhizal versus arbuscular mycorrhizal symbioses; the former are best explained by the multiple evolutionary origins of ectomycorrhizal lifestyle in plants, while the latter are best explained by recent diversification in plants; both are also explained by evolution of specificity between plants and fungi. These results provide the foundation for a synthetic framework to predict the outcomes of nutritional mutualisms.Jason Hoeksema et al. report a meta-analysis of the drivers of outcomes in mycorrhizal mutualisms across 646 plant–fungi combinations. They find that evolutionary history explains substantially more variation in the strength of mycorrhizal mutualisms than do ecological factors.
Communications Biology | 2018
Jason D. Hoeksema; James D. Bever; Sounak Chakraborty; V. Bala Chaudhary; Monique Gardes; Catherine A. Gehring; Miranda M. Hart; Elizabeth A. Housworth; Wittaya Kaonongbua; John N. Klironomos; Marc J. Lajeunesse; James F. Meadow; Brook G. Milligan; Bridget J. Piculell; Anne Pringle; Megan A. Rúa; James Umbanhowar; Wolfgang Viechtbauer; Yen-Wen Wang; Gail W. T. Wilson; Peter C. Zee
Archive | 2015
Megan A. Rúa; Anita J. Antoninka; Pedro M. Antunes; Veer Bala Chaudhary; Catherine A. Gehring; Louis J. Lamit; Bridget J. Piculell; James D. Bever; Cathy Zabinski; James F. Meadow; Marc J. Lajeunesse; Brook G. Milligan; Monique Gardes; Justine Karst; Jason D. Hoeksema
Archive | 2014
Jason D. Hoeksema; James D. Bever; Sounak Chakraborty; Veer B. Chaudhary; Elizabeth A. Housworth; Wittaya Kaonongbua; Marc J. Lajeunesse; James F. Meadow; Brook G. Milligan; Bridget J. Piculell; Megan A. Rúa; James Umbanhowar; Wolfgang Viechtbauer; Peter C. Zee