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Pun TB, Thapa Magar R, Koech R, Owen KJ, Adorada DL. Emerging Trends and Technologies Used for the Identification, Detection, and Characterisation of Plant-Parasitic Nematode Infestation in Crops. PLANTS (BASEL, SWITZERLAND) 2024; 13:3041. [PMID: 39519959 PMCID: PMC11548156 DOI: 10.3390/plants13213041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 10/23/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024]
Abstract
Accurate identification and estimation of the population densities of microscopic, soil-dwelling plant-parasitic nematodes (PPNs) are essential, as PPNs cause significant economic losses in agricultural production systems worldwide. This study presents a comprehensive review of emerging techniques used for the identification of PPNs, including morphological identification, molecular diagnostics such as polymerase chain reaction (PCR), high-throughput sequencing, meta barcoding, remote sensing, hyperspectral analysis, and image processing. Classical morphological methods require a microscope and nematode taxonomist to identify species, which is laborious and time-consuming. Alternatively, quantitative polymerase chain reaction (qPCR) has emerged as a reliable and efficient approach for PPN identification and quantification; however, the cost associated with the reagents, instrumentation, and careful optimisation of reaction conditions can be prohibitive. High-throughput sequencing and meta-barcoding are used to study the biodiversity of all tropical groups of nematodes, not just PPNs, and are useful for describing changes in soil ecology. Convolutional neural network (CNN) methods are necessary to automate the detection and counting of PPNs from microscopic images, including complex cases like tangled nematodes. Remote sensing and hyperspectral methods offer non-invasive approaches to estimate nematode infestations and facilitate early diagnosis of plant stress caused by nematodes and rapid management of PPNs. This review provides a valuable resource for researchers, practitioners, and policymakers involved in nematology and plant protection. It highlights the importance of fast, efficient, and robust identification protocols and decision-support tools in mitigating the impact of PPNs on global agriculture and food security.
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Affiliation(s)
- Top Bahadur Pun
- School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4701, Australia
| | - Roniya Thapa Magar
- DOE Joint Genome Institute, Lawrence Berkeley National Lab, Berkeley, CA 94720, USA
| | - Richard Koech
- School of Health, Medical and Applied Sciences, Central Queensland University, Bundaberg, QLD 4760, Australia;
| | - Kirsty J. Owen
- School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, QLD 4305, Australia
| | - Dante L. Adorada
- Centre for Crop Health, University of Southern Queensland, Toowoomba, QLD 4305, Australia
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Rolbiecki L, Izdebska JN. Modern Strategies for Diagnosis and Treatment of Parasitic Diseases. Int J Mol Sci 2024; 25:6373. [PMID: 38928081 PMCID: PMC11204150 DOI: 10.3390/ijms25126373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
Parasites are very widely distributed in the environment and form complex relationships with their hosts, forming host-parasite systems [...].
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Affiliation(s)
- Leszek Rolbiecki
- Department of Invertebrate Zoology and Parasitology, Faculty of Biology, University of Gdańsk, 80-308 Gdańsk, Poland;
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Zhao P, Zhang L, Liu Y, Wang Z, Guo H, Li J, Wu S, Gao Z, Yuan H. Genetic diversity and phylogenetic relationship estimation of Shanxi indigenous goat breeds using microsatellite markers. Anim Biotechnol 2023; 35:2276717. [PMID: 37934003 DOI: 10.1080/10495398.2023.2276717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
The objective of this study was to assess the genetic diversity, phylogenetic relationship and population structure of five goat breeds in Shanxi, China. High genetic diversities were found in the five populations, among which, Licheng big green goat (LCBG) has the highest genetic diversity, while Jinlan cashmere goat (JLCG) population has the lowest genetic diversity. Bottleneck analysis showed the absence of recent genetic bottlenecks in the five goat populations. Genetic differentiation analysis shows that the closest genetic relationship between LCBG and LLBG (Lvliang black goat) was found, and the genetic distance between JLCG and the other four populations is the largest. The population structure of JLCG is different from the other four populations with K = 2, while LCBG and LLBG have high similarity population structure as the K value changes. Knowledge about genetic diversity and population structure of indigenous goats is essential for genetic improvement, understanding of environmental adaptation as well as utilization and conservation of goat breeds.
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Affiliation(s)
- Peng Zhao
- College of Animal Science, Shanxi Agricultural University, Taiyuan, China
| | - Li Zhang
- College of Animal Science, Shanxi Agricultural University, Taiyuan, China
| | - Yin Liu
- College of Animal Science, Shanxi Agricultural University, Taiyuan, China
| | - Zhengkun Wang
- Shanxi Animal Husbandry Technology Popularization Service Center, Taiyuan, China
| | - Hongyu Guo
- College of Animal Science, Shanxi Agricultural University, Taiyuan, China
| | - Jun Li
- College of Animal Science, Shanxi Agricultural University, Taiyuan, China
| | - Shuai Wu
- Agriculture and Rural Bureau of Lvliang City, Lvliang, Shanxi Province, China
| | - Zefeng Gao
- Agriculture and Rural Bureau of Lvliang City, Lvliang, Shanxi Province, China
| | - Hao Yuan
- Animal Husbandry Center of Yangcheng County, Jincheng, Shanxi Province, China
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Liu Y, Chen Y, Wang N, Qin H, Zhang L, Zhang S. The global prevalence of parasites in non-biting flies as vectors: a systematic review and meta-analysis. Parasit Vectors 2023; 16:25. [PMID: 36691084 PMCID: PMC9872427 DOI: 10.1186/s13071-023-05650-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/03/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Non-biting flies such as the house fly (Musca domestica), the Australian sheep blowfly (Lucilia cuprina) and the oriental latrine fly (Chrysomya megacephala) may carry many parasites. In the present study, we performed a systematic overview of the different species of parasites carried by non-biting flies, as well as of isolation methods, different geographical distribution, seasonality and risk assessment. METHODS A meta-analysis was carried out with the aim to review the global prevalence of parasite transmission in non-biting flies. A total sample size of 28,718 non-biting flies reported in studies worldwide satisfied the predetermined selection criteria and was included in the quantitative analysis. RESULTS The global prevalence of parasites in non-biting flies was 42.5% (95% confidence interval [CI] 31.9-53.2%; n = 15,888/28,718), with the highest prevalence found for non-biting flies in Africa (58.3%; 95% CI 47.4-69.3%; n = 9144/13,366). A total of 43% (95% CI 32.1-54.4%; n = 7234/15,282) of house flies (M. domestica), the fly species considered to be the most closely associated with humans and animals, were found with parasites. The prevalence of parasites in the intestine of non-biting flies was 37.1% (95% CI 22.7-51.5%; n = 1045/3817), which was significantly higher than the prevalence of parasites isolated from the body surface (35.1%; 95% CI 20.8-49.4%; n = 1199/3649; P < 0.01). Of the 27 reported parasites, a total of 20 known zoonotic parasites were identified, with an infection rate of 38.1% (95% CI 28.2-48.0%; n = 13,572/28,494). CONCLUSIONS This study provides a theoretical basis for the public health and ecological significance of parasites transmitted by non-biting flies.
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Affiliation(s)
- Yufeng Liu
- grid.108266.b0000 0004 1803 0494College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046 People’s Republic of China ,International Joint Research Center for Animal Immunology of China, Zhengzhou, Henan People’s Republic of China ,grid.418524.e0000 0004 0369 6250Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People’s Republic of China
| | - Yuancai Chen
- grid.108266.b0000 0004 1803 0494College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046 People’s Republic of China ,International Joint Research Center for Animal Immunology of China, Zhengzhou, Henan People’s Republic of China ,grid.418524.e0000 0004 0369 6250Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People’s Republic of China
| | - Nanhao Wang
- grid.108266.b0000 0004 1803 0494College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046 People’s Republic of China ,International Joint Research Center for Animal Immunology of China, Zhengzhou, Henan People’s Republic of China ,grid.418524.e0000 0004 0369 6250Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People’s Republic of China
| | - Huikai Qin
- grid.108266.b0000 0004 1803 0494College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046 People’s Republic of China ,International Joint Research Center for Animal Immunology of China, Zhengzhou, Henan People’s Republic of China ,grid.418524.e0000 0004 0369 6250Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People’s Republic of China
| | - Longxian Zhang
- grid.108266.b0000 0004 1803 0494College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046 People’s Republic of China ,International Joint Research Center for Animal Immunology of China, Zhengzhou, Henan People’s Republic of China ,grid.418524.e0000 0004 0369 6250Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People’s Republic of China
| | - Sumei Zhang
- grid.108266.b0000 0004 1803 0494College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046 People’s Republic of China ,International Joint Research Center for Animal Immunology of China, Zhengzhou, Henan People’s Republic of China ,grid.418524.e0000 0004 0369 6250Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People’s Republic of China
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Shift from morphological to recent advanced molecular approaches for the identification of nematodes. Genomics 2022; 114:110295. [DOI: 10.1016/j.ygeno.2022.110295] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 01/08/2022] [Accepted: 02/01/2022] [Indexed: 11/17/2022]
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Spadigam A, Dhupar A, Syed S, Sawant PR. Human oral dirofilariasis. Trop Parasitol 2019; 8:110-113. [PMID: 30693219 PMCID: PMC6329264 DOI: 10.4103/tp.tp_49_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2018] [Indexed: 11/17/2022] Open
Abstract
Zoonotic filarial infections particularly dirofilariasis have been reported worldwide. The route of transmission to human beings is vector-borne through mosquitoes. Increased mosquito activity subsequent to global warming has influenced the transmission of dirofilarial infection in many geographic regions, including Asia. Dirofilariasis presents as mucocutaneous and pulmonary infections. Dirofilarial infections rarely manifest in the oral and perioral region and can pose to be a diagnostic challenge to clinicians. We report the first case of oral dirofilariasis in Goa, India.
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Affiliation(s)
- Anita Spadigam
- Department of Oral and Maxillofacial Pathology, Goa Dental College and Hospital, Bambolim, Goa, India
| | - Anita Dhupar
- Department of Oral and Maxillofacial Pathology, Goa Dental College and Hospital, Bambolim, Goa, India
| | - Shaheen Syed
- Department of Oral and Maxillofacial Pathology, Goa Dental College and Hospital, Bambolim, Goa, India
| | - Poonam Ramnath Sawant
- Department of Oral and Maxillofacial Pathology, Goa Dental College and Hospital, Bambolim, Goa, India
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A review of methods for nematode identification. J Microbiol Methods 2016; 138:37-49. [PMID: 27262374 DOI: 10.1016/j.mimet.2016.05.030] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 05/23/2016] [Accepted: 05/31/2016] [Indexed: 12/15/2022]
Abstract
Nematodes are non-segmented roundworms found in soil, aquatic environment, plants, or animals. Either useful or pathogenic, they greatly influence environmental equilibrium, human and animal health, as well as plant production. Knowledge on their taxonomy and biology are key issues to answer the different challenges associated to these organisms. Nowadays, most of the nematode taxonomy remains unknown or unclear. Several approaches are available for parasite identification, from the traditional morphology-based techniques to the sophisticated high-throughput sequencing technologies. All these techniques have advantages or drawbacks depending on the sample origin and the number of nematodes to be processed. This review proposes an overview of all newly available methods available to identify known and/or unknown nematodes with a specific focus on emerging high-throughput molecular techniques.
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Molecular approaches to differentiate three species of Nematodirus in sheep and goats from China based on internal transcribed spacer rDNA sequences. J Helminthol 2013; 89:259-66. [PMID: 24331581 DOI: 10.1017/s0022149x13000825] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Internal transcribed spacer (ITS) rDNA sequences of three Nematodirus species from naturally infected goats or sheep in two endemic provinces of China were analysed to establish an effective molecular approach to differentiate Nematodirus species in small ruminants. The respective intra-specific genetic variations in ITS1 and ITS2 rDNA regions were 0.3-1.8% and 0-0.4% in N. spathiger, 0-6.5% and 0-5.4% in N. helvetianus, and 0-4.4% and 0-6.1% in N. oiratianus from China. The respective intra-specific variations of ITS1 and ITS2 were 1.8-4.4% and 1.6-6.1% between N. oiratianus isolates from China and Iran, 5.7-7.1% and 6.3-8.3% between N. helvetianus samples from China and America. For N. spathiger, compared with samples from China, sequence differences in ITS1 rDNA were 0.3-2.4% in isolates from America, 0.3-2.9% in New Zealand and 2.1-2.4% in Australia. Genetic variations in ITS2 rDNA of N. spathiger were 0-0.4% between samples from China and America, and 0-0.8% between samples from China and New Zealand. Using mutation sites, polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and specific PCR techniques were developed to differentiate these three Nematodirus species. The specific PCR assay allowed the accurate identification of N. oiratianus from other common nematodes with a sensitivity of 0.69 pg and further examination of Nematodirus samples demonstrated the reliability of these two molecular methods.
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