Grants and Contracts Details
Description
The number of species on Earth has been a subject of debate for centuries and current estimates range over an order of
magnitude. Even rather low estimates of ~6.1 million arthropod species imply that over 250 years of Linnaean-based taxonomy
has only described ~1/5 of the Earth’s diversity. With the current rate of biodiversity loss, it is a certainty that many arthropod
species will become extinct before they are known to science. It is therefore of interest to document biodiversity now and advanced
DNA sequencing techniques can provide a means to do so.
The proposed research will apply next generation sequencing technology to record the genetic diversity of an experimental forest
in Kentucky. Bulk arthropod samples will be extracted and a diagnostic mitochondrial DNA region (COI) will be amplified with
newly-developed universal primers. Illumina sequencing will then sequence millions of amplified fragments in a matter of days.
Bioinformatics software (QIIME, MACSE) will compute the number of unique sequences present, calculate observed species,
identify species by querying the sequences in the Barcode of Life Database, and compute diversity rarefaction curves and various
diversity metrics. This methodology is a vast improvement over those of a recent multi-million dollar study which took over 100
taxonomists and a decade to arrive at an approximation with wide variance. By relying on sequence data alone it will be possible to
design a repeatable protocol that can be used anywhere on Earth by just a few researchers. The results of this study will create a
new standard in biodiversity measurement that can be used to create an accurate estimate of global arthropod diversity. The
methods can be applied to track environmental impacts of global climate change or human-induced landscape changes over time
and may revolutionize the bio-consulting industry.
Status | Finished |
---|---|
Effective start/end date | 7/1/14 → 6/30/17 |
Funding
- KY Science and Technology Co Inc: $29,982.00
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