scholarly journals Red Palm Weevil Rhynchophorus ferrugineus (Coleoptera: Curculionidae): Global Invasion, Current Management Options, Challenges and Future Prospects

2020 ◽  
Author(s):  
Hamadttu Abdel Farag El-Shafie ◽  
Jose Romeno Faleiro
Keyword(s):  
Rhynchophorus Ferrugineus ◽  
Future Prospects ◽  
Red Palm Weevil ◽  
Management Options ◽  
Current Management ◽  
Palm Weevil ◽  
Global Invasion

Quarantine Protocol Against Coleopteran Borers in Date Palm Offshoots Using Eco2 Fume Gas

2020 ◽  
Vol 31 (4) ◽  
pp. 190-192
Author(s):  
H.A. El-Shafie ◽  
M.E. Mohammed ◽  
A.A. Sallam
Keyword(s):  
Date Palm ◽  
Exposure Period ◽  
Rhynchophorus Ferrugineus ◽  
Internal Tissue ◽  
Red Palm Weevil ◽  
Rhinoceros Beetle ◽  
Planting Material ◽  
Palm Weevil ◽  
Longhorn Beetle ◽  
The World

Date palm offshoots represent an important source of planting material in many date palm-growing countries around the world. Infestation by the red palm weevil ((RPW) Rhynchophorus ferrugineus), the longhorn beetle ((LHB) Jebusaea hammerschmidti) and the rhinoceros beetle ((OB) Oryctes spp.) hinders commercialization and movement of these offshoots. An effective quarantine protocol, with exposure period of 72 h at 25 °C using ECO2FUME (EF) with phosphine concentration of 1500 ppm has been developed for date palm offshoots against these coleopteran internal tissue borers.

scholarly journals The Effect of Gut Bacteria on the Physiology of Red Palm Weevil, Rhynchophorus ferrugineus Olivier and Their Potential for the Control of This Pest

Insects ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 594
Author(s):  
Qian-Xia Liu ◽  
Zhi-Ping Su ◽  
Hui-Hui Liu ◽  
Sheng-Ping Lu ◽  
Bing Ma ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Current Knowledge ◽  
Management Strategies ◽  
Gut Bacteria ◽  
Economic Losses ◽  
Rhynchophorus Ferrugineus ◽  
Intestinal Immunity ◽  
Red Palm Weevil ◽  
Nutrient Metabolism ◽  
Palm Weevil

Red Palm Weevil (RPW), Rhynchophorus ferrugineus Olivier, is a notorious pest, which infests palm trees and has caused great economic losses worldwide. At present, insecticide applications are still the main way to control this pest. However, pesticide resistance has been detected in the field populations of RPW. Thus, future management strategies based on the novel association biological control need be developed. Recent studies have shown that the intestinal tract of RPW is often colonized by multiple microbial species as mammals and model insects, and gut bacteria have been found to promote the growth, development and immune activity of RPW larvae by modulating nutrient metabolism. Furthermore, two peptidoglycan recognition proteins (PGRPs), PGRP-LB and PGRP-S1, can act as the negative regulators to modulate the intestinal immunity to maintain the homeostasis of gut bacteria in RPW larvae. Here, we summarized the current knowledge on the gut bacterial composition of RPW and their impact on the physiological traits of RPW larvae. In contrast with metazoans, it is much easier to make genetic engineered microbes to produce some active molecules against pests. From this perspective, because of the profound effects of gut bacteria on host phenotypes, it is promising to dissect the molecular mechanisms behind their effect on host physiology and facilitate the development of microbial resource-based management methods for pest control.

scholarly journals A Comparative Study on the Microbial Communities of Rhynchophorus ferrugineus (Red Palm Weevil)-Infected and Healthy Palm Trees

2021 ◽  
Author(s):  
N. Alshammari ◽  
Meshari Alazmi ◽  
Naimah A. Alanazi ◽  
Abdel Moneim E. Sulieman ◽  
Vajid N. Veettil ◽  
...  
Keyword(s):  
Microbial Communities ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Rhynchophorus Ferrugineus ◽  
Tree Trunk ◽  
Red Palm Weevil ◽  
Healthy Tree ◽  
Palm Trees ◽  
Infected Tree ◽  
Palm Weevil

AbstractSeveral studies have investigated palm trees’ microbiota infected with red palm weevil (RPW) (Rhynchophorus ferrugineus), the major pest of palm trees. This study compared the microbial communities of infected and uninfected palm trees in the Hail region, Northern Saudi Arabia, determined by high-throughput 16S rRNA gene sequencing by Illumina MiSeq. The results indicated that taxonomic diversity variation was higher for infected tree trunk than the healthy tree trunk. Soil samples from the vicinity of healthy and infected trees did not have a significant variation in bacterial diversity. Myxococcota, Acidobacteriota, and Firmicutes were the dominant phyla in RPW-infected tree trunk, and Pseudomonadaceae was the most prominent family. This study is the first report on the characterization of RPW-infected and healthy palm trees’ microbiome.

scholarly journals Genome-Wide Identification of the Gustatory Receptor Gene Family of the Invasive Pest, Red Palm Weevil, Rhynchophorus ferrugineus (Olivier, 1790)

Insects ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 611
Author(s):  
Patamarerk Engsontia ◽  
Chutamas Satasook
Keyword(s):  
Gene Family ◽  
Molecular Basis ◽  
Receptor Gene ◽  
Invasive Pest ◽  
Effective Control ◽  
Gustatory Receptor ◽  
Rhynchophorus Ferrugineus ◽  
Red Palm Weevil ◽  
Palm Weevil ◽  
Receptor Gene Family

The red palm weevil (Rhynchophorus ferrugineus) is a highly destructive pest of oil palm, date, and coconut in many parts of Asia, Europe, and Africa. The Food and Agriculture Organization of the United Nations has called for international collaboration to develop a multidisciplinary strategy to control this invasive pest. Previous research focused on the molecular basis of chemoreception in this species, particularly olfaction, to develop biosensors for early detection and more effective bait traps for mass trapping. However, the molecular basis of gustation, which plays an essential role in discriminating food and egg-laying sites and chemical communication in this species, is limited because its complete gustatory receptor gene family still has not been characterized. We manually annotated the gene family from the recently available genome and transcriptome data and reported 50 gustatory receptor genes encoding 65 gustatory receptors, including 7 carbon dioxide, 9 sugar, and 49 bitter receptors. This study provides a platform for future functional analysis and comparative chemosensory study. A better understanding of gustation will improve our understanding of this species’ complex chemoreception, which is an important step toward developing more effective control methods.

Preliminary evaluation of acoustic sensors for early detection of red palm weevil, Rhynchophorus ferrugineus incidence on oil palm and coconut in Malaysia

2021 ◽  
Author(s):  
Nur Ain Farhah Ros Saidon Khudri ◽  
Mohamed Mazmira Mohd Masri ◽  
Mohd Shawal Thakib Maidin ◽  
Noorhazwani Kamarudin ◽  
Mohamad Haris Hussain ◽  
...  
Keyword(s):  
Early Detection ◽  
Oil Palm ◽  
Preliminary Evaluation ◽  
Rhynchophorus Ferrugineus ◽  
Acoustic Sensors ◽  
Red Palm Weevil ◽  
Palm Weevil

scholarly journals Haplotype-resolved genome assembly enables gene discovery in the red palm weevil Rhynchophorus ferrugineus

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Guilherme B. Dias ◽  
Musaad A. Altammami ◽  
Hamadttu A. F. El-Shafie ◽  
Fahad M. Alhoshani ◽  
Mohamed B. Al-Fageeh ◽  
...  
Keyword(s):  
Genome Assembly ◽  
Control Strategies ◽  
Insect Pest ◽  
Single Copy ◽  
Gene Content ◽  
Rhynchophorus Ferrugineus ◽  
Red Palm Weevil ◽  
Transcriptomic Data ◽  
Palm Trees ◽  
Palm Weevil

AbstractThe red palm weevil Rhynchophorus ferrugineus (Coleoptera: Curculionidae) is an economically-important invasive species that attacks multiple species of palm trees around the world. A better understanding of gene content and function in R. ferrugineus has the potential to inform pest control strategies and thereby mitigate economic and biodiversity losses caused by this species. Using 10x Genomics linked-read sequencing, we produced a haplotype-resolved diploid genome assembly for R. ferrugineus from a single heterozygous individual with modest sequencing coverage ($$\sim$$ ∼ 62x). Benchmarking against conserved single-copy Arthropod orthologs suggests both pseudo-haplotypes in our R. ferrugineus genome assembly are highly complete with respect to gene content, and do not suffer from haplotype-induced duplication artifacts present in a recently published hybrid assembly for this species. Annotation of the larger pseudo-haplotype in our assembly provides evidence for 23,413 protein-coding loci in R. ferrugineus, including over 13,000 predicted proteins annotated with Gene Ontology terms and over 6000 loci independently supported by high-quality Iso-Seq transcriptomic data. Our assembly also includes 95% of R. ferrugineus chemosensory, detoxification and neuropeptide-related transcripts identified previously using RNA-seq transcriptomic data, and provides a platform for the molecular analysis of these and other functionally-relevant genes that can help guide management of this widespread insect pest.

scholarly journals Early Detection of Red Palm Weevil, Rhynchophorus ferrugineus (Olivier), Infestation Using Data Mining

Plants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 95
Author(s):  
Heba Kurdi ◽  
Amal Al-Aldawsari ◽  
Isra Al-Turaiki ◽  
Abdulrahman S. Aldawood
Keyword(s):  
Data Mining ◽  
Plant Size ◽  
Support Vector ◽  
Classification Algorithms ◽  
Palm Tree ◽  
Rhynchophorus Ferrugineus ◽  
Red Palm Weevil ◽  
Palm Weevil ◽  
Using Data ◽  
F Measure

In the past 30 years, the red palm weevil (RPW), Rhynchophorus ferrugineus (Olivier), a pest that is highly destructive to all types of palms, has rapidly spread worldwide. However, detecting infestation with the RPW is highly challenging because symptoms are not visible until the death of the palm tree is inevitable. In addition, the use of automated RPW weevil identification tools to predict infestation is complicated by a lack of RPW datasets. In this study, we assessed the capability of 10 state-of-the-art data mining classification algorithms, Naive Bayes (NB), KSTAR, AdaBoost, bagging, PART, J48 Decision tree, multilayer perceptron (MLP), support vector machine (SVM), random forest, and logistic regression, to use plant-size and temperature measurements collected from individual trees to predict RPW infestation in its early stages before significant damage is caused to the tree. The performance of the classification algorithms was evaluated in terms of accuracy, precision, recall, and F-measure using a real RPW dataset. The experimental results showed that infestations with RPW can be predicted with an accuracy up to 93%, precision above 87%, recall equals 100%, and F-measure greater than 93% using data mining. Additionally, we found that temperature and circumference are the most important features for predicting RPW infestation. However, we strongly call for collecting and aggregating more RPW datasets to run more experiments to validate these results and provide more conclusive findings.

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