Document of bibliographic reference 350877
BibliographicReference record
- Type
- Bibliographic resource
- Type of document
- Journal article
- BibLvlCode
- AS
- Title
- Shift from morphological to recent advanced molecular approaches for the identification of nematodes
- Abstract
- Nematodes are the most diverse but most minor studied microorganisms found in soil, water, animals, or plants. Either beneficial or pathogenic, they significantly affect human and animal health, plant production and ultimately affect the environmental equilibrium. Knowledge of their taxonomy and biology are the main issues to answer the different challenges associated with these microorganisms. The classical morphology-based nematode taxonomy and biodiversity studies have proved insufficient to identify closely related taxa and have challenged most biologists. Several molecular approaches have been used to supplement morphological methods and solve these problems with markable success. The molecular techniques range from enzyme analysis, protein-based information to DNA sequence analysis. For several decades, efforts have been made to integrate molecular approaches with digital 3D image-capturing technology to improve the identification accuracy of such a taxonomically challenging group and communicate morphological data. This review presents various molecular techniques and provides examples of recent advances in these methods to identify free-living and plant-parasitic nematodes.
- WebOfScience code
- https://www.webofscience.com/wos/woscc/full-record/WOS:000819730500003
- Bibliographic citation
- Nisa, R.U.; Tantray, A.Y.; Shah, A.A. (2022). Shift from morphological to recent advanced molecular approaches for the identification of nematodes. Genomics (S. Diego Calif.) 114(2): 110295. https://dx.doi.org/10.1016/j.ygeno.2022.110295
- Topic
- Marine
- Is peer reviewed
- true
- Access rights
- open access
- Is accessible for free
- true
Authors
- author
-
- Name
- Rawhat Un Nisa
- author
-
- Name
- Aadil Yousuf Tantray
- author
-
- Name
- Ali Asghar Shah