Biology subjects

Craine, J.

Publications and source records attributed to Craine, J..

4 recordsLinked to original sources

bioRxiv2025

Surveying Tropical Faunal Diversity via Airborne DNA Analyses

Here, we assess the potential of airborne eDNA (airDNA) metabarcoding to characterize arthropod and vertebrate assemblages in a tropical forest. We deployed 28 high-flow air samplers across a 1.5 km2 area on Barro Colorado Island, Panama, over two consecutive 24- hour periods and sequenced captured DNA using general eukaryotic and vertebrate-specific metabarcoding primers. AirDNA sampling detected 1293 arthropod operational taxonomic units (OTUs) alongside 157 vertebrate OTUs representing birds, mammals, reptiles, amphibians, and fish. Arthropod richness was comparable to that quantified locally with light and Malaise trap surveys, while vertebrate richness exceeded that typically observed with conventional techniques. The level of field and lab effort employed in this study captured approximately 84% of the asymptotic richness for arthropods and 76% for vertebrates, implying that relatively little additional richness would have been quantified with additional effort within the same domain of sampling. Observed and asymptotic richness increased with the number of sites, the number of days a site was sampled, and the number of PCR replicates run per sample, highlighting the need to standardize effort among future applications of airDNA to compare richness across systems. These results demonstrate that airDNA metabarcoding can efficiently and non- invasively profile tropical terrestrial faunal biodiversity.

ecology↗

bioRxiv2020

Global Root Traits (GRooT) Database

MotivationTrait data are fundamental to quantitatively describe plant form and function. Although root traits capture key dimensions related to plant responses to changing environmental conditions and effects on ecosystem processes, they have rarely been included in large-scale comparative studies and global models. For instance, root traits remain absent from nearly all studies that define the global spectrum of plant form and function. Thus, to overcome conceptual and methodological roadblocks preventing a widespread integration of root trait data into large-scale analyses we created the Global Root Trait (GRooT) Database. GRooT provides ready-to-use data by combining the expertise of root ecologists with data mobilization and curation. Specifically, we (i) determined a set of core root traits relevant to the description of plant form and function based on an assessment by experts, (ii) maximized species coverage through data standardization within and among traits, and (iii) implemented data quality checks. Main types of variables containedGRooT contains 114,222 trait records on 38 continuous root traits. Spatial location and grainGlobal coverage with data from arid, continental, polar, temperate, and tropical biomes. Data on root traits derived from experimental studies and field studies. Time period and grainData recorded between 1911 and 2019 Major taxa and level of measurementGRooT includes root trait data for which taxonomic information is available. Trait records vary in their taxonomic resolution, with sub-species or varieties being the highest and genera the lowest taxonomic resolution available. It contains information for 184 sub-species or varieties, 6,214 species, 1,967 genera and 254 families. Due to variation in data sources, trait records in the database include both individual observations and mean values. Software formatGRooT includes two csv file. A GitHub repository contains the csv files and a script in R to query the database.

ecology↗

bioRxiv2018

Environmental DNA reveals the structure of phytoplankton assemblages along a 2900-km transect in the Mississippi River

The environmental health of aquatic ecosystems is critical to society, yet traditional assessments of water quality have limited utility for some bodies of water such as large rivers. Sequencing of environmental DNA (eDNA) has the potential to complement if not replace traditional sampling of biotic assemblages for the purposes of reconstructing aquatic assemblages and, by proxy, assessing water quality. Despite this potential, there has been little testing of the ability of eDNA to reconstruct assemblages and their absolute and relative utility to infer water quality metrics. Here, we reconstruct phytoplankton communities by amplifying and sequencing DNA from a portion of the 23S rRNA region from filtered water samples along a 2900-km transect in the Mississippi River. Across the entire length, diatoms dominated the assemblage (72.6%) followed by cryptophytes (8.7%) and cyanobacteria (7.0%). There were no general trends in the abundances of these major taxa along the length of the river, but individual taxon abundance peaked in different regions. For example, the abundance of taxa genetically similar to Melosira tropica peaked at approximately 60% of all reads 2750 km upstream from the Gulf of Mexico, while taxa similar to Skeletonema marinoi began to increase below the confluence with the Missouri River until it reached approximately 30% of the reads at the Gulf of Mexico. There were four main clusters of samples based on phytoplankton abundance, two above the confluence with the Missouri and two below. Phytoplankton abundance was a poor predictor of NH4 + concentrations in the water, but predicted 61% and 80% of the variation in observed NO3 -and PO4 3-concentrations, respectively. Phytoplankton richness increased with increasing distance along the river, but was best explained by phosphate concentrations and water clarity. Along the Mississippi transect, there was similar structure to phytoplankton and bacterial assemblages, indicating that the two sets of organisms are responding to similar environmental factors. In all, the research here demonstrates the potential utility of metabarcoding for reconstructing aquatic assemblages, which might aid in conducting water quality assessments.

ecology↗

bioRxiv2017

DNA metabarcoding potentially reveals multi-assemblage eutrophication responses in an eastern North American river

Freshwater aquatic ecosystems provide a wide range of ecosystem services, yet provision of these services is increasingly threatened by human activities. Directly quantifying freshwater biotic assemblages has long been a proxy for assessing changing environmental conditions, yet traditional aquatic biodiversity assessments are often time consuming, expensive, and limited to only certain habitats and certain taxa. Sequencing aquatic environmental DNA via metabarcoding has the potential to remedy these deficiencies. Such an approach could be used to quantify changes in the relative abundances of a broad suite of taxa along environmental gradients, providing data comparable to that obtained using more traditional bioassessment approaches. To determine the utility of metabarcoding for comprehensive aquatic biodiversity assessments, we sampled aquatic environmental DNA at 25 sites that spanned the full length of the Potomac River from its headwaters to the Potomac estuary. We measured dissolved nutrient concentrations and also sequenced amplified marker genes using primer pairs broadly targeting four taxonomic groups. The relative abundances of bacteria, phytoplankton, invertebrate, and vertebrate taxa were distinctly patterned along the river with significant differences in their abundances across headwaters, the main river, and the estuary. Within the main river, changes in the abundances of these broad taxonomic groups reflected either increasing river size or a higher degree of eutrophication. The larger and more eutrophic regions of the river were defined by high total dissolved phosphorus in the water, a unique suite of bacteria, phytoplankton such as species of the diatom Nitzschia, invertebrates like the freshwater snail Physella acuta, and high abundance of fish including the common carp (Cyprinus carpio). Taxonomic richness of phytoplankton and vertebrates increased downriver while it consistently decreased for bacteria. Given these results, multi-assemblage aquatic environmental DNA assessment of surface water quality is a viable tool for bioassessment. With minimal sampling effort, we were able to construct the equivalent of a freshwater water quality index, differentiate closely-related taxa, sample places where traditional monitoring would be difficult, quantify species that are difficult to detect with traditional techniques, and census taxa that are generally captured with more traditional bioassessment approaches. To realize the full potential of aquatic environmental DNA for bioassessment, research is still needed on primer development, a geographically broad set of reference sites need to be characterized, and reference libraries need to be further developed to improve taxonomic identification.

ecology↗