Literature DB >> 12582521

AFLP analysis of genetic diversity within and among Coffea arabica cultivars.

L. Steiger1, C. Nagai, H. Moore, W. Morden, V. Osgood, R. Ming.   

Abstract

Genetic diversity of Coffea arabica cultivars was estimated using amplified fragment length polymorphism (AFLP) markers. Sixty one Coffea accessions composed of six arabica cultivars, including Typica, Bourbon, Catimor, Catuai, Caturra and Mokka Hybrid, plus two diploid Coffea species, were analyzed with six EcoRI- MseI primer combinations. A total of 274 informative AFLP markers were generated and scored as binary data. These data were analyzed using cluster methods in the software package NTSYSpc. The differences among cultivars at the DNA level were small, with an average genetic similarity of 0.933. Most accessions within a cultivar formed a cluster, although deviant samples occurred in five of the six cultivars examined due to residual heterozygosity from ancestral materials. Among the six cultivars fingerprinted, the highest level of genetic diversity was found within the cultivar Catimor, with an average genetic similarity of 0.880. The lowest level was found within Caturra accessions, with an average genetic similarity of 0.993. Diversity between C. arabica and two other Coffea species, Coffea canephora and Coffea liberica, was also estimated with average genetic similarities of 0.540 and 0.413, respectively, suggesting that C. canephora is more closely related to C. arabica than is C. liberica. The genetic variation among arabica cultivars was similar to the variation within cultivars, and no cultivar-specific DNA marker was detected. Although arabica cultivars appear to have a narrow genetic base, our results show that sufficient polymorphism can be found among some arabica cultivars with a genetic similarity as low as 0.767 for genetic/QTL mapping and breeding. The assessment of genetic diversity among arabica cultivars provided the necessary information to estimate the potential for using marker-assisted breeding for coffee improvement.

Entities:  

Year:  2002        PMID: 12582521     DOI: 10.1007/s00122-002-0939-8

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  12 in total

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3.  A high-throughput data mining of single nucleotide polymorphisms in Coffea species expressed sequence tags suggests differential homeologous gene expression in the allotetraploid Coffea arabica.

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Journal:  Plant Physiol       Date:  2010-09-23       Impact factor: 8.340

4.  Genetic diversity within Pisum sativum using protein- and PCR-based markers.

Authors:  A Baranger; G Aubert; G Arnau; A L Lainé; G Deniot; J Potier; C Weinachter; I Lejeune-Hénaut; J Lallemand; J Burstin
Journal:  Theor Appl Genet       Date:  2004-01-15       Impact factor: 5.699

5.  Construction of a genetic map for arabica coffee.

Authors:  H M Pearl; C Nagai; P H Moore; D L Steiger; R V Osgood; R Ming
Journal:  Theor Appl Genet       Date:  2003-11-05       Impact factor: 5.699

6.  High-density linkage mapping revealed suppression of recombination at the sex determination locus in papaya.

Authors:  Hao Ma; Paul H Moore; Zhiyong Liu; Minna S Kim; Qingyi Yu; Maureen M M Fitch; Terry Sekioka; Andrew H Paterson; Ray Ming
Journal:  Genetics       Date:  2004-01       Impact factor: 4.562

7.  Screening interspecific hybrids of Populus (P. ciliata x maximowiczii) using AFLP markers.

Authors:  N Chauhan; M S Negi; V Sabharwal; D K Khurana; M Lakshmikumaran
Journal:  Theor Appl Genet       Date:  2003-11-14       Impact factor: 5.699

8.  Recent advances in the genetic transformation of coffee.

Authors:  M K Mishra; A Slater
Journal:  Biotechnol Res Int       Date:  2012-08-29

9.  Development of microsatellite markers for identifying Brazilian Coffea arabica varieties.

Authors:  Elisa S N Vieira; Edila V de R Von Pinho; Maria G G Carvalho; Danny G Esselink; Ben Vosman
Journal:  Genet Mol Biol       Date:  2010-09-01       Impact factor: 1.771

10.  Genetic relationship and diversity in a sesame (Sesamum indicum L.) germplasm collection using amplified fragment length polymorphism (AFLP).

Authors:  Hernán E Laurentin; Petr Karlovsky
Journal:  BMC Genet       Date:  2006-02-16       Impact factor: 2.797

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