TY - JOUR
T1 - A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes
AU - Crombie, Timothy A.
AU - Tanny, Robyn E.
AU - Buchanan, Claire M.
AU - Roberto, Nicole M.
AU - Andersen, Erik C.
N1 - Funding Information:
This research was supported by start-up funds from Northwestern University and a National Science Foundation CAREER Award (IOS-1751035), both granted to E.C.A.
Publisher Copyright:
© 2021 JoVE Journal of Visualized Experiments.
PY - 2022/3
Y1 - 2022/3
N2 - Caenorhabditis elegans is one of the major model organisms in biology, but only recently have researchers focused on its natural ecology. The relative sparsity of information about C. elegans in its natural context comes from the challenges involved in the identification of the small nematode in nature. Despite these challenges, an increasing focus on the ecology of C. elegans has caused a wealth of new information regarding its life outside of the laboratory. The intensified search for C. elegans in nature has contributed to the discovery of many new Caenorhabditis species and revealed that congeneric nematodes frequently cohabitate in the wild, where they feed on microbial blooms associated with rotting plant material. The identification of new species has also revealed that the androdioecious mating system of males and self-fertilizing hermaphrodites has evolved three times independently within Caenorhabditis. The other two selfing species, C. briggsae and C. tropicalis, share the experimental advantages of C. elegans and have enabled comparative studies into the mechanistic basis of important traits, including self-fertilization. Despite these advances, much remains to be learned about the ecology and natural diversity of these important species. For example, we still lack functional information for many of their genes, which might only be attained through an understanding of their natural ecology. To facilitate ecological research of selfing Caenorhabditis nematodes, we developed a highly scalable method to collect nematodes from the wild. Our method makes use of mobile data collection platforms, cloud-based databases, and the R software environment to enhance researchers' ability to collect nematodes from the wild, record associated ecological data, and identify wild nematodes using molecular barcodes.
AB - Caenorhabditis elegans is one of the major model organisms in biology, but only recently have researchers focused on its natural ecology. The relative sparsity of information about C. elegans in its natural context comes from the challenges involved in the identification of the small nematode in nature. Despite these challenges, an increasing focus on the ecology of C. elegans has caused a wealth of new information regarding its life outside of the laboratory. The intensified search for C. elegans in nature has contributed to the discovery of many new Caenorhabditis species and revealed that congeneric nematodes frequently cohabitate in the wild, where they feed on microbial blooms associated with rotting plant material. The identification of new species has also revealed that the androdioecious mating system of males and self-fertilizing hermaphrodites has evolved three times independently within Caenorhabditis. The other two selfing species, C. briggsae and C. tropicalis, share the experimental advantages of C. elegans and have enabled comparative studies into the mechanistic basis of important traits, including self-fertilization. Despite these advances, much remains to be learned about the ecology and natural diversity of these important species. For example, we still lack functional information for many of their genes, which might only be attained through an understanding of their natural ecology. To facilitate ecological research of selfing Caenorhabditis nematodes, we developed a highly scalable method to collect nematodes from the wild. Our method makes use of mobile data collection platforms, cloud-based databases, and the R software environment to enhance researchers' ability to collect nematodes from the wild, record associated ecological data, and identify wild nematodes using molecular barcodes.
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U2 - 10.3791/63486
DO - 10.3791/63486
M3 - Article
C2 - 35311808
AN - SCOPUS:85126633405
SN - 1940-087X
VL - 2022
JO - Journal of Visualized Experiments
JF - Journal of Visualized Experiments
IS - 181
M1 - e63486
ER -