TY - JOUR
T1 - Diversity and evolutionary origins of fungi associated with seeds of a neotropical pioneer tree
T2 - a case study for analysing fungal environmental samples
AU - U'Ren, Jana M.
AU - Dalling, James W.
AU - Gallery, Rachel E.
AU - Maddison, David R.
AU - Davis, E. Christine
AU - Gibson, Cara M.
AU - Arnold, A. Elizabeth
N1 - Funding Information: We gratefully acknowledge the College of Agriculture and Life Sciences at the University of Arizona and the National Science Foundation for supporting this research (DEB-0200413, DEB-0342925, DEB-0516564, and DEB-0640996 to AEA, and DEB-0343953 to JWD). We further thank NSF for fostering discussion that informed this work through the Fungal Environmental Sampling and Informatics Network (FESIN; DEB-0639048 to Tom Bruns, Karen Hughes, and AEA). JMU was supported by an NSF-IGERT Fellowship in Genomics at the University of Arizona while completing this study. We thank François Lutzoni and A. Jon Shaw for logistical support at Duke University, and Malkanthi Gunatilaka, K. Lindsay Higgins, Michele Hoffman, Megan McGregor, Alyson Paulick, Evelyn Sanchez, Brett Wolfe and Mariana del Olmo Ruiz for technical assistance. The helpful suggestions of two anonymous reviewers improved this manuscript, for which we are most grateful.
PY - 2009/4
Y1 - 2009/4
N2 - Fungi associated with seeds of tropical trees pervasively affect seed survival and germination, and thus are an important, but understudied, component of forest ecology. Here, we examine the diversity and evolutionary origins of fungi isolated from seeds of an important pioneer tree (Cecropia insignis, Cecropiaceae) following burial in soil for five months in a tropical moist forest in Panama. Our approach, which relied on molecular sequence data because most isolates did not sporulate in culture, provides an opportunity to evaluate several methods currently used to analyse environmental samples of fungi. First, intra- and interspecific divergence were estimated for the nu-rITS and 5.8S gene for four genera of Ascomycota that are commonly recovered from seeds. Using these values we estimated species boundaries for 527 isolates, showing that seed-associated fungi are highly diverse, horizontally transmitted, and genotypically congruent with some foliar endophytes from the same site. We then examined methods for inferring the taxonomic placement and phylogenetic relationships of these fungi, evaluating the effects of manual versus automated alignment, model selection, and inference methods, as well as the quality of BLAST-based identification using GenBank. We found that common methods such as neighbor-joining and Bayesian inference differ in their sensitivity to alignment methods; analyses of particular fungal genera differ in their sensitivity to alignments; and numerous and sometimes intricate disparities exist between BLAST-based versus phylogeny-based identification methods. Lastly, we used our most robust methods to infer phylogenetic relationships of seed-associated fungi in four focal genera, and reconstructed ancestral states to generate preliminary hypotheses regarding the evolutionary origins of this guild. Our results illustrate the dynamic evolutionary relationships among endophytic fungi, pathogens, and seed-associated fungi, and the apparent evolutionary distinctiveness of saprotrophs. Our study also elucidates the diversity, taxonomy, and ecology of an important group of plant-associated fungi and highlights some of the advantages and challenges inherent in the use of ITS data for environmental sampling of fungi.
AB - Fungi associated with seeds of tropical trees pervasively affect seed survival and germination, and thus are an important, but understudied, component of forest ecology. Here, we examine the diversity and evolutionary origins of fungi isolated from seeds of an important pioneer tree (Cecropia insignis, Cecropiaceae) following burial in soil for five months in a tropical moist forest in Panama. Our approach, which relied on molecular sequence data because most isolates did not sporulate in culture, provides an opportunity to evaluate several methods currently used to analyse environmental samples of fungi. First, intra- and interspecific divergence were estimated for the nu-rITS and 5.8S gene for four genera of Ascomycota that are commonly recovered from seeds. Using these values we estimated species boundaries for 527 isolates, showing that seed-associated fungi are highly diverse, horizontally transmitted, and genotypically congruent with some foliar endophytes from the same site. We then examined methods for inferring the taxonomic placement and phylogenetic relationships of these fungi, evaluating the effects of manual versus automated alignment, model selection, and inference methods, as well as the quality of BLAST-based identification using GenBank. We found that common methods such as neighbor-joining and Bayesian inference differ in their sensitivity to alignment methods; analyses of particular fungal genera differ in their sensitivity to alignments; and numerous and sometimes intricate disparities exist between BLAST-based versus phylogeny-based identification methods. Lastly, we used our most robust methods to infer phylogenetic relationships of seed-associated fungi in four focal genera, and reconstructed ancestral states to generate preliminary hypotheses regarding the evolutionary origins of this guild. Our results illustrate the dynamic evolutionary relationships among endophytic fungi, pathogens, and seed-associated fungi, and the apparent evolutionary distinctiveness of saprotrophs. Our study also elucidates the diversity, taxonomy, and ecology of an important group of plant-associated fungi and highlights some of the advantages and challenges inherent in the use of ITS data for environmental sampling of fungi.
KW - Alignment
KW - Ancestral state reconstruction
KW - Ascomycota
KW - Barro Colorado Island
KW - Endophytes
KW - Phylogeny
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U2 - 10.1016/j.mycres.2008.11.015
DO - 10.1016/j.mycres.2008.11.015
M3 - Article
C2 - 19103288
SN - 0953-7562
VL - 113
SP - 432
EP - 449
JO - Mycological Research
JF - Mycological Research
IS - 4
ER -