Genetics-based methods for agricultural insect pest management

被引:60
|
作者
Alphey, Nina [1 ,2 ,3 ]
Bonsall, Michael B. [1 ,2 ,4 ]
机构
[1] Dept Zool, Math Ecol Res Grp, South Parks Rd, Oxford OX1 3PS, England
[2] Imperial Coll London, Dept Life Sci, Silwood Pk Campus,Buckhurst Rd, Ascot SL5 7PY, Berks, England
[3] Pirbright Inst, Ash Rd, Woking GU24 0NF, Surrey, England
[4] St Peters Coll, New Inn Hall St, Oxford OX1 2DL, England
基金
英国生物技术与生命科学研究理事会;
关键词
Bt crops; genetic insect control; resistance management; self-limiting constructs; sterile insect technique; FEMALE-SPECIFIC LETHALITY; BACILLUS-THURINGIENSIS; RESISTANCE MANAGEMENT; BT CROPS; POPULATION; VECTOR; RELEASE; SYSTEM; WOLBACHIA; DOMINANT;
D O I
10.1111/afe.12241
中图分类号
Q96 [昆虫学];
学科分类号
摘要
The sterile insect technique is an area-wide pest control method that reduces agricultural pest populations by releasing mass-reared sterile insects, which then compete for mates with wild insects. Contemporary genetics-based technologies use insects that are homozygous for a repressible dominant lethal genetic construct rather than being sterilized by irradiation. Engineered strains of agricultural pest species, including moths such as the diamondback moth Plutella xylostella and fruit flies such as the Mediterranean fruit fly Ceratitis capitata, have been developed with lethality that only operates on females. Transgenic crops expressing insecticidal toxins are widely used; the economic benefits of these crops would be lost if toxin resistance spread through the pest population. The primary resistance management method is a high-dose/refuge strategy, requiring toxin-free crops as refuges near the insecticidal crops, as well as toxin doses sufficiently high to kill wild-type insects and insects heterozygous for a resistance allele. Mass-release of toxin-sensitive engineered males (carrying female-lethal genes), as well as suppressing populations, could substantially delay or reverse the spread of resistance. These transgenic insect technologies could form an effective resistance management strategy. We outline some policy considerations for taking genetic insect control systems through to field implementation.
引用
收藏
页码:131 / 140
页数:10
相关论文
共 50 条
  • [21] USING GENETICS-BASED LEARNING-METHODS TO IMPROVE SIMULATION-MODEL FIDELITY
    BEST, LA
    SANDERS, RD
    JOHNS HOPKINS APL TECHNICAL DIGEST, 1995, 16 (02): : 123 - 135
  • [22] A Blueprint for Advancing Genetics-Based Cancer Therapy
    Sellers, William R.
    CELL, 2011, 147 (01) : 26 - 31
  • [23] Contemporary genetics-based diagnostics of male infertility
    Ferlin, Alberto
    Dipresa, Savina
    Delbarba, Andrea
    Maffezzoni, Filippo
    Porcelli, Teresa
    Cappelli, Carlo
    Foresta, Carlo
    EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2019, 19 (07) : 623 - 633
  • [24] Latest Developments in Insect Sex Pheromone Research and Its Application in Agricultural Pest Management
    Rizvi, Syed Arif Hussain
    George, Justin
    Reddy, Gadi V. P.
    Zeng, Xinnian
    Guerrero, Angel
    INSECTS, 2021, 12 (06)
  • [25] An abstraction algorithm for genetics-based reinforcement learning
    Browne, Will
    Scott, Dan
    GECCO 2005: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOLS 1 AND 2, 2005, : 1875 - 1882
  • [26] Plant and insect virus-like particles: emerging nanoparticles for agricultural pest management
    Xue, Qi
    Swevers, Luc
    Taning, Clauvis Nji Tizi
    PEST MANAGEMENT SCIENCE, 2023, 79 (09) : 2975 - 2991
  • [27] Current and future prospects of "all-organic" nanoinsecticides for agricultural insect pest management
    Manna, Sourav
    Roy, Sampurna
    Dolai, Avishek
    Ravula, Arun Reddy
    Perumal, Venkatesan
    Das, Amlan
    FRONTIERS IN NANOTECHNOLOGY, 2023, 4
  • [28] Genetics-Based Field Studies Prioritize Safety
    James, Anthony A.
    SCIENCE, 2011, 331 (6016) : 398 - 398
  • [29] Future perspectives on insect pest management: Engineering the pest
    Pfeifer, TA
    Grigliatti, TA
    JOURNAL OF INVERTEBRATE PATHOLOGY, 1996, 67 (02) : 109 - 119
  • [30] Fungal allelochemicals in insect pest management
    Gerrit Holighaus
    Marko Rohlfs
    Applied Microbiology and Biotechnology, 2016, 100 : 5681 - 5689