Literature DB >> 33301096

Amplified Fragment Length Polymorphism: Applications and Recent Developments.

Thotten Elampilay Sheeja1,2, Illathidath Payatatti Vijesh Kumar3, Ananduchandra Giridhari3, Divakaran Minoo4, Muliyar Krishna Rajesh5, Kantipudi Nirmal Babu3.   

Abstract

AFLP or amplified fragment length polymorphism is a PCR-based molecular technique that uses selective amplification of a subset of digested DNA fragments from any source to generate and compare unique fingerprints of genomes. It is more efficient in terms of time, economy, reproducibility, informativeness, resolution, and sensitivity, compared to other popular DNA markers. Besides, it requires very small quantities of DNA and no prior genome information. This technique is widely used in plants for taxonomy, genetic diversity, phylogenetic analysis, construction of high-resolution genetic maps, and positional cloning of genes, to determine relatedness among cultivars and varietal identity, etc. The review encompasses in detail the various applications of AFLP in plants and the major advantages and disadvantages. The review also considers various modifications of this technique and novel developments in detection of polymorphism. A wet-lab protocol is also provided.

Entities:  

Keywords:  AFLP; Epigenetics; Genetic diversity; MSAP; Restriction enzymes; Transcriptomics; cDNA

Mesh:

Year:  2021        PMID: 33301096     DOI: 10.1007/978-1-0716-0997-2_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  88 in total

Review 1.  Amplified-fragment length polymorphism analysis: the state of an art.

Authors:  P H Savelkoul; H J Aarts; J de Haas; L Dijkshoorn; B Duim; M Otsen; J L Rademaker; L Schouls; J A Lenstra
Journal:  J Clin Microbiol       Date:  1999-10       Impact factor: 5.948

2.  Genetic diversity in an African plantain core collection using AFLP and RAPD markers.

Authors:  G Ude; M Pillay; E Ogundiwin; A Tenkouano
Journal:  Theor Appl Genet       Date:  2003-03-25       Impact factor: 5.699

3.  AFLP: a new technique for DNA fingerprinting.

Authors:  P Vos; R Hogers; M Bleeker; M Reijans; T van de Lee; M Hornes; A Frijters; J Pot; J Peleman; M Kuiper
Journal:  Nucleic Acids Res       Date:  1995-11-11       Impact factor: 16.971

4.  Use of locus-specific AFLP markers to construct a high-density molecular map in barley.

Authors:  X Qi; P Stam; P Lindhout
Journal:  Theor Appl Genet       Date:  1998-03       Impact factor: 5.699

5.  AFLP analysis of genetic diversity and phylogenetic relationships of Brassica oleracea in Ireland.

Authors:  Mohamed A El-Esawi; Kieran Germaine; Paula Bourke; Renee Malone
Journal:  C R Biol       Date:  2016-05-04       Impact factor: 1.583

6.  Genetic relationships within Brassica rapa as inferred from AFLP fingerprints.

Authors:  Jianjun Zhao; Xiaowu Wang; Bo Deng; Ping Lou; Jian Wu; Rifei Sun; Zeyong Xu; Jaap Vromans; Maarten Koornneef; Guusje Bonnema
Journal:  Theor Appl Genet       Date:  2005-04-02       Impact factor: 5.699

7.  Genetic diversity within and among Pinus pinaster populations: comparison between AFLP and microsatellite markers.

Authors:  S Mariette; D Chagné; C Lézier; P Pastuszka; A Raffin; C Plomion; A Kremer
Journal:  Heredity (Edinb)       Date:  2001-04       Impact factor: 3.821

8.  RFLP and AFLP analysis of inter- and intraspecific variation of Brassica rapa and B. napus shows that B. rapa is an important genetic resource for B. napus improvement.

Authors:  Ren-Hu Liu; Jin-Ling Meng
Journal:  Yi Chuan Xue Bao       Date:  2006-09

9.  Amplified fragment length polymorphism (AFLP) in soybean: species diversity, inheritance, and near-isogenic line analysis.

Authors:  P J Maughan; M A Saghai Maroof; G R Buss; G M Huestis
Journal:  Theor Appl Genet       Date:  1996-08       Impact factor: 5.699

10.  AFLP-Based Analysis of Genetic Diversity, Population Structure, and Relationships with Agronomic Traits in Rice Germplasm from North Region of Iran and World Core Germplasm Set.

Authors:  Karim Sorkheh; Mohammad Masaeli; Maryam Hosseini Chaleshtori; Asfaw Adugna; Sezai Ercisli
Journal:  Biochem Genet       Date:  2016-01-13       Impact factor: 1.890

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  1 in total

Review 1.  What Can Genetics Do for the Control of Infectious Diseases in Aquaculture?

Authors:  Simona Sciuto; Licia Colli; Andrea Fabris; Paolo Pastorino; Nadia Stoppani; Giovanna Esposito; Marino Prearo; Giuseppe Esposito; Paolo Ajmone-Marsan; Pier Luigi Acutis; Silvia Colussi
Journal:  Animals (Basel)       Date:  2022-08-25       Impact factor: 3.231

  1 in total

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