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The i5K Initiative: Advancing Arthropod Genomics for Knowledge, Human Health, Agriculture, and the Environment

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i5K Consortium·2013·Journal of Heredity

Abstract

Insects and their arthropod relatives including mites, spiders, and crustaceans play major roles in the world's terrestrial, aquatic, and marine ecosystems. Arthropods compete with humans for food and transmit devastating diseases. They also comprise the most diverse and successful branch of metazoan evolution, with millions of extant species. Here, we describe an international effort to guide arthropod genomic efforts, from species prioritization to methodology and informatics. The 5000 arthropod genomes initiative (i5K) community met formally in 2012 to discuss a roadmap for sequencing and analyzing 5000 high-priority arthropods and is continuing this effort via pilot projects, the development of standard operating procedures, and training of students and career scientists. With university, governmental, and industry support, the i5K Consortium aspires to deliver sequences and analytical tools for each of the arthropod branches and each of the species having beneficial and negative effects on humankind.

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Metadata

Authors
i5K Consortium
Venue
Journal of Heredity
Published
2013-08-12
Volume
104
Issue
5
Pages
595-600
ISSN
  • 0022-1503 (ISSN-L)
  • 1465-7333
OpenAlex
W1220385903
Cited by
366
References
0
FWCI
11.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The i5K Initiative: Advancing Arthropod Genomics for Knowledge, Human Health, Agriculture, and the Environment. https://app.cochat.ai/papers/10.1093/jhered/est050
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i5K Consortium. (2013). The i5K Initiative: Advancing Arthropod Genomics for Knowledge, Human Health, Agriculture, and the Environment. Journal of Heredity. https://doi.org/10.1093/jhered/est050

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.