A sustainable synthetic biology approach for the control of the invasive golden mussel (Limnoperna fortunei)
Author and article information
Abstract
The recent development of the CRISPR-Cas9-based gene drive has created the conditions to seriously consider this technology to solve one of the major environmental challenges in biodiversity conservation i.e. the control of invasive species. There is no efficient control method for golden mussel infestation available so far. Here we discuss the technical and economic feasibility of using a synthetic biology based approach to fight and control the invasive mussel Limnoperna fortunei in South American rivers and reservoirs.
Cite this as
2018. A sustainable synthetic biology approach for the control of the invasive golden mussel (Limnoperna fortunei) PeerJ Preprints 6:e27164v3 https://doi.org/10.7287/peerj.preprints.27164v3Author comment
This is a preprint submission to PeerJ Preprints. This version has corrections in references and authorship.
Sections
Supplemental Information
Supplemental Data S1. Golden mussel disinfestation Business Model Canvas (BMC) description
Supplemental Figure 1. Golden mussel disinfestation Business Model Canvas (BMC)
Additional Information
Competing Interests
The authors disclose the following potential competing interests. Juliana A Americo and Lucas da Silva are researchers employed by Bio Bureau Biotecnologia which is developing products related to the research being reported. Mauro F Rebelo and José L B Neto have equity interest and serve as board members of Bio Bureau Biotecnologia. Qiaoying Zhang is part of the R&D team employed by CTG Brasil, the sponsor who funded the research reported in this publication. Luana F Afonso and Francesco Dondero declare that they have no competing interests.
Author Contributions
Mauro F Rebelo conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.
Luana F Afonso analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.
Juliana A Americo conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.
Lucas da Silva conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.
José L B Neto conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools.
Francesco Dondero analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper.
Qiaoying Zhang analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper.
Data Deposition
The following information was supplied regarding data availability:
The research in this article did not generate any data or code.
Funding
This work was supported by Brazillian National Electric Energy Agency ANEEL R&D program through grant PD-075 (PD-07514-0002/2017). Qiaoying Zhang is part of the R&D team employed by CTG Brasil, the sponsor who funded the research reported in this publication and provided market data and helped preparing the manuscript.
