Contributors | Affiliation | Role |
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Byers, James E. | University of Georgia (UGA) | Co-Principal Investigator |
Sotka, Erik | College of Charleston (CofC) | Co-Principal Investigator |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This is a supplemental file (PeerJ_TableS1.docx) of the manuscript:
Kollars, N. M., S. a. Krueger-Hadfield, J. E. Byers, T. W. Greig, A. E. Strand, F. Weinberger, and E. E. Sotka. 2015. Development and characterization of microsatellite loci for the haploid–diploid red seaweed Gracilaria vermiculophylla. PeerJ 3:e1159. doi: 10.7717/peerj.1159
Related supplemental files:
Table S2: Null allele frequencies for the microsatellite loci developed for Gracilaria vermiculophylla. Frequencies were directly estimated in the haploid subpopulations, whereas frequencies in each of the diploid subpopulations at Akkeshi, Elkhorn Slough, Fort Johnson and Nordstrand were calculated using maximum likelihood and the software MLNullFreq.
Table S3: Short allele dominance analysis for microsatellite loci developed for Gracilaria vermiculophylla including number of pooled size classes used in regression analysis (following Wattier et al. 1998), No. of classes, and linear regression statistics. Loci Gverm_10367 and Gverm_2790 only exhibited two alleles in our sampled populations and consequently, short allele dominance analysis was not applicable (NA).
Table S4: Linkage disequilibrium analysis for microsatellite loci developed for Gracilaria vermiculophylla. Darkened cells indicate pairs of loci that show significant linkage disequilibrium after Bonferroni correction (p-value threshold < 0.006 at α = 0.05).
Table S5: Genetic features per locus of four populations of Gracilaria vermiculophylla, including: number of alleles at each locus, NA, + standard error (SE); mean allelic richness, AE, based on the smallest global sample size of 46 alleles (23 diploid individuals) + SE; mean observed heterozygosity, HO, + SE; mean expected heterozygosity, HE, + SE.
Red Invasive Seaweed - Raw Genotypes (PeerJ_genotype_data.xlsx)
File |
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accession_numbers.csv (Comma Separated Values (.csv), 9.72 KB) MD5:995b5ce1d4c8338b015df30b79c717fc Primary data file for dataset ID 630041 |
Parameter | Description | Units |
locus | Locus identifier. | dimensionless |
accession_num | Genbank accession number. | dimensionless |
motif | Sequence motif. | dimensionless |
primer_sequence | Primer sequences. | dimensionless |
profile | One- or multi- locus genetic determinism. "no amp." indicates non-amplification. | dimensionless |
accession_URL | Hyperlink to Genbank for the accession number. | dimensionless |
Description from NSF award abstract:
During the last decade, the Asian seaweed, Gracilaria vermiculophylla, has proliferated along high-salinity mudflats in several Georgia and South Carolina estuaries. The invasion is noteworthy because the mudflats in these estuaries were historically devoid of macrophyte-based primary production and structure. Gracilaria has few native analogues in these mudflat environments, and thus represents an opportunity to examine the ecosystem consequences of an invasion within an historically-unexploited niche. In theory, Gracilaria affects populations of species that are directly dependent on the invader for structure and food, as well as altering community- and ecosystem-level processes such as detrital production and food web structure. Through a combination of manipulative field experiments, laboratory assays and stable isotope analysis, the investigators will test three mechanisms by which Gracilaria influences native community structure. The novel structure and primary production generated by Gracilaria vermiculophylla may be 1) increasing rates of secondary production, 2) increasing levels of mudflat microbial production through leeching of dissolved nutrients, and 3) increasing detrital input to microbial and macrobial food webs.
This project will provide a mechanistic understanding of the multiple cascading impacts of an invasive species within the estuarine community. Species invasions that alter ecosystem functions are usually the most profound. These alterations are often generated by a small number of invaders that create physical structure, including important biogenic habitat, de novo. By altering physical structure, these non-native ecosystem engineers alter local abiotic conditions, interactions between species, and species composition. Highly influential invaders may also change food web structure and trophic flow of energy and materials. Such substantive food web changes can occur when an influential invader provides nutrients or resources that are different in quality, quantity or both. An invasive species that both provisions new physical structure and fundamentally alters food web structure could exert an overwhelming influence on native communities when these mechanisms act in synergy.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |