ESRC Poster Printing - A Different Kind of Black...

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check out our lab! fozlab.weebly.com Devon O’Rourke and Jeffrey T. Foster University of New Hampshire, Durham NH A Different Kind of Black Gold: Molecular Characterization of Bat Guano as an Alternative Pest Management Strategy Insights from bats’ insides: guano’s expansive utility Previous molecular studies of bat guano demonstrate that many bat species exhibit a diverse arthropod diet (1, 5). Such insectivorous activity is known to provide extensive ecosystem services with significant economic value through regulating crop pest populations. We are interested in adopting similar molecular techniques while greatly refining the geographic and temporal resolution to investigate the questions of foraging behavior, changes in insect community composition, and assessing the potential for guano collection as a novel pest management detection strategy. Foraging Behavior INTRAcolony foraging: To what extent is a single guano sample representative of the average colony consumption? What is the variance in colony diet at any one time point? How does this variation change over the course of a season? INTERcolony foraging: How do diets vary among geographically distinct but ecologically similar environments? Does the extent of this heterogeneity change over a season? Insect Community Composition Bats provide top down ecological constraints on insect populations. We were interested in providing the first assessment of how the dramatic decline in bat populations has effected changes in insect community composition. Management Decisions Pest management: Traditional aerial and trap surveys throughout New Hampshire have demonstrated the presence of agricultural and forest pests. Our work provides the capacity to greatly expand the detection range and specificity with which insect pests arrive and persist. Bat management: Each guano sample provides an opportunity to assess bat species composition at each site. References 1. Esling P, Lejzerowicz F, Pawlowski J (2015) Accurate multiplexing and filtering for high-throughput amplicon-sequencing. Nucleic Acids Research, doi:10.1093/nar/gkv107. 2. Hope PR, Bohmann K, Gilbert MTP et al. (2014) Second generation sequencing and morhological faecal analysis reveal unexpected foraging behaviour by Myotis nattereri (Chiroptera, Vespertilionidae) in winter. Frontiers in Zoology, 11, 39. 3. Schnell I, Bohmann K, Gilbert M (2015) Tag jumps illuminated - reducing sequence-to-sample misidentifications in metabarcoding studies. Molecular Ecology Resources, doi: 10.1111/1755-0998.12402. 4. Comai, L and Howell T. Barcode generator. http://comailab.genomecenter.ucdavis.edu/index.php/Barcode_generator. 5. Clare E et al. (2014). Molecular Ecology, 23 3618-3632. doi: 10.1111/mec.12542. Collection strategies Trained volunteers and researchers collected 12 guano samples per week among 11 sites between May to September 2015. Guano pellets were stored individually in preservative and at -80 °C prior to DNA extraction. Sample Preparation DNA extraction and PCR amplification followed previously described methods (1). Barcoded primers were used in defined pairs to reduce chance of tag jumping (2, 3). Library preparations followed manufacturer’s guidelines and were pooled for a single sequencing run on an Illumina Hi-Seq platform with expected output of ~ 1 Gb. 32 km 12 samples per week 11 collection sites 4 - 15 weekly collections ~10 min. mixing DNA extraction PCR with barcoded primers pool ~ 48 barcoded samples build library with unique dual index 1) A’ overhang 2) NEBNext adapter ligation 3) NEB index addition via PCR A A A A A A A A A A A A repeat N times for 48N libraries Pool libraries for HiSeq 5’-ACGTCATAAGATATTGGAACWTTATATTTTATTTTTGG-3’ 5’-ACGTCATAWACTAATCAATTWCCAAATCCTCC-3’ 5’-CACATATGAGATATTGGAACWTTATATTTTATTTTTGG-3’ 5’-TGACTAGCAGATATTGGAACWTTATATTTTATTTTTGG-3’ 5’-GTAGCACTAGATATTGGAACWTTATATTTTATTTTTGG-3’ FBC1 RBC1 FBC12 FBC31 FBC45 custom 8 bp barcode universal (Zeale) primer barcode A COI gene forward universal primer Measuring impacts: Our high-throughput work flow will provide extensive insights into the variation in feeding pattern among bats and can provide the foundation for future research to assess the changes in insect community composition. Known and/or previously undetected forest and crop pests of interest will be assessed by this current collection. Unlike traditional pest detection strategies guano processing is agnostic to target and provides a robust, timely, and sensitive depiction of the insect community in a narrowly defined territory. By combining our bat-species molecular identification with insect diet analyses we will provide a more complete characterization of variation in bat diets in New Hampshire. We plan on expanding our work next season to include both farming and forested communities and determining relationships between topography and insect community throughout New England. Site Week Proportion of taxa Trichoptera Aranea Ephemeroptera Hempitera Diptera Lepidoptera Neuroptera Hymenoptera Psocoptera Orthoptera Isopoda Coleoptera 12 samples within a single colony compared between two different weeks Assessing intragenic colony diet variation Assessing intergenic colony diet variation Barcode generation We developed unique 8 bp barcode located 5’ upstream from the universal primer region with a Hamming distance of 3 and alternating AG / CT regions to improve error correction and read quality. Strings of 8 bp were generated using a Python script (4) then filtered to follow guidelines specifying: all four nucleotides included no repeated nucleotides minimize and balance AC / GT AT/GC 45 % Acknowledgments This project would not be possible without the support of the volunteers who collected the majority of the samples. Thanks to Kristine Bohmann and Elizabeth Clare for their expert insights in sample processing. Lastly a big thank you to folks in the Foster lab for their continued support: Dr. Kevin Drees, Alissa Scinto, Nick Rouillard, and Katy Parise.

Transcript of ESRC Poster Printing - A Different Kind of Black...

Page 1: ESRC Poster Printing - A Different Kind of Black Goldposters.unh.edu/media/uploads/originals/2015/10/26/nasbr... · 2015-10-26 · check out our lab! fozlab.weebly.com Devon O’Rourke

check out our lab!fozlab.weebly.com

Devon O’Rourke and Jeffrey T. FosterUniversity of New Hampshire, Durham NH

A Different Kind of Black Gold: Molecular Characterization of Bat Guano as an Alternative Pest Management Strategy

Insights from bats’ insides: guano’s expansive utilityPrevious molecular studies of bat guano demonstrate that many bat species exhibit a diverse arthropod diet (1, 5). Such insectivorous activity is known to provide extensive ecosystem services with significant economic value through regulating crop pest populations. We are interested in adopting similar molecular techniques while greatly refining the geographic and temporal resolution to investigate the questions of foraging behavior, changes in insect community composition, and assessing the potential for guano collection as a novel pest management detection strategy.

Foraging Behavior INTRAcolony foraging: To what extent is a single guano sample representative of the average colony consumption? What is the variance in colony diet at any one time point? How does this variation change over the course of a season?INTERcolony foraging: How do diets vary among geographically distinct but ecologically similar environments? Does the extent of this heterogeneity change over a season?

Insect Community CompositionBats provide top down ecological constraints on insect populations. We were interested in providing the first assessment of how the dramatic decline in bat populations has effected changes in insect community composition.

Management DecisionsPest management: Traditional aerial and trap surveys throughout New Hampshire have demonstrated the presence of agricultural and forest pests. Our work provides the capacity to greatly expand the detection range and specificity with which insect pests arrive and persist.

Bat management:Each guano sample provides an opportunity to assess bat species composition at each site.

References1. Esling P, Lejzerowicz F, Pawlowski J (2015) Accurate multiplexing and filtering for high-throughput amplicon-sequencing. Nucleic Acids Research, doi:10.1093/nar/gkv107.2. Hope PR, Bohmann K, Gilbert MTP et al. (2014) Second generation sequencing and morhological faecal analysis reveal unexpected foraging behaviour by Myotis nattereri (Chiroptera, Vespertilionidae) in winter. Frontiers in Zoology, 11, 39.3. Schnell I, Bohmann K, Gilbert M (2015) Tag jumps illuminated - reducing sequence-to-sample misidentifications in metabarcoding studies. Molecular Ecology Resources, doi: 10.1111/1755-0998.12402.4. Comai, L and Howell T. Barcode generator. http://comailab.genomecenter.ucdavis.edu/index.php/Barcode_generator.5. Clare E et al. (2014). Molecular Ecology, 23 3618-3632. doi: 10.1111/mec.12542.

Collection strategiesTrained volunteers and researchers collected 12 guano samples per week among 11 sites between May to September 2015. Guano pellets were stored individually in preservative and at -80 °C prior to DNA extraction.

Sample PreparationDNA extraction and PCR amplification followed previously described methods (1). Barcoded primers were used in defined pairs to reduce chance of tag jumping (2, 3). Library preparations followed manufacturer’s guidelines and were pooled for a single sequencing run on an Illumina Hi-Seq platform with expected output of ~ 1 Gb.

32 km

12 sa

mples

per w

eek

11 collection sites

4 - 15 weekly

collections

~10 min. mixing

DNA extractionPCR with

barcoded primers

pool ~ 48 barcoded samples

build library withunique dual index

1) A’ overhang2) NEBNext adapter ligation3) NEB index addition via PCR

AA

AA AA

AA AA AA

repeat N times for 48N libraries

Pool libraries for HiSeq

5’-ACGTCATAAGATATTGGAACWTTATATTTTATTTTTGG-3’5’-ACGTCATAWACTAATCAATTWCCAAATCCTCC-3’

5’-CACATATGAGATATTGGAACWTTATATTTTATTTTTGG-3’

5’-TGACTAGCAGATATTGGAACWTTATATTTTATTTTTGG-3’

5’-GTAGCACTAGATATTGGAACWTTATATTTTATTTTTGG-3’

FBC1RBC1

FBC12

FBC31

FBC45

custom 8 bp barcode

universal (Zeale) primer

barcodeA COI gene

forwarduniversal

primer

Measuring impacts:Our high-throughput work flow will provide extensive insights into the variation in feeding pattern among bats and can provide the foundation for future research to assess the changes in insect community composition. Known and/or previously undetected forest and crop pests of interest will be assessed by this current collection. Unlike traditional pest detection strategies guano processing is agnostic to target and provides a robust, timely, and sensitive depiction of the insect community in a narrowly defined territory. By combining our bat-species molecular identification with insect diet analyses we will provide a more complete characterization of variation in bat diets in New Hampshire. We plan on expanding our work next season to include both farming and forested communities and determining relationships between topography and insect community throughout New England.

Site

Week

Prop

ortio

n of

taxa

TrichopteraAraneaEphemeropteraHempitera

DipteraLepidopteraNeuropteraHymenoptera

PsocopteraOrthopteraIsopodaColeoptera

12 samples within a single colony compared between two di�erent weeks

Assessing intragenic colony diet variationAssessing intergenic colony diet variation

Barcode generation We developed unique 8 bp barcode located 5’ upstream from the universal primer region with a Hamming distance of 3 and alternating AG / CT regions to improve error correction and read quality. Strings of 8 bp were generated using a Python script (4) then filtered to follow guidelines specifying:

• all four nucleotides included • no repeated nucleotides • minimize and balance AC / GT • AT/GC ≥ 45 %

AcknowledgmentsThis project would not be possible without the support of the volunteers who collected the majority of the samples. Thanks to Kristine Bohmann and Elizabeth Clare for their expert insights in sample processing. Lastly a big thank you to folks in the Foster lab for their continued support: Dr. Kevin Drees, Alissa Scinto, Nick Rouillard, and Katy Parise.