scholarly journals Genetic analyses of the federally endangered Echinacea laevigata using amplified fragment length polymorphisms (AFLP)—Inferences in population genetic structure and mating system

2008 ◽  
Vol 10 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Melinda D. Peters ◽  
Qiu-Yun (Jenny) Xiang ◽  
David T. Thomas ◽  
Jon Stucky ◽  
Noah K. Whiteman
Keyword(s):  
Genetic Structure ◽  
Mating System ◽  
Population Genetic Structure ◽  
Fragment Length ◽  
Population Genetic ◽  
Genetic Analyses ◽  
Length Polymorphisms ◽  
Amplified Fragment Length Polymorphisms

Selection criteria for scoring amplified fragment length polymorphisms (AFLPs) positively affect the reliability of population genetic parameter estimates

Genome ◽  
2010 ◽  
Vol 53 (4) ◽  
pp. 302-310 ◽  
Author(s):  
Doris Herrmann ◽  
Bénédicte N. Poncet ◽  
Stéphanie Manel ◽  
Delphine Rioux ◽  
Ludovic Gielly ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Fragment Length ◽  
Population Genetic ◽  
Selection Criteria ◽  
Genetic Parameters ◽  
Data Set ◽  
Marker Selection ◽  
Length Polymorphisms ◽  
Amplified Fragment Length Polymorphisms ◽  
Population Genetic Parameters

A reliable data set is a fundamental prerequisite for consistent results and conclusions in population genetic studies. However, marker scoring of genetic fingerprints such as amplified fragment length polymorphisms (AFLPs) is a highly subjective procedure, inducing inconsistencies owing to personal or laboratory-specific criteria. We applied two alternative marker selection algorithms, the newly developed script scanAFLP and the recently published AFLPScore, to a large AFLP genome scan to test how population genetic parameters and error rates were affected. These results were confronted with replicated random selections of marker subsets. We show that the newly developed marker selection criteria reduced the mismatch error rate and had a notable influence on estimates of genetic diversity and differentiation. Both effects are likely to influence biological inference. For example, genetic diversity (HS) was 29% lower while genetic differentiation (FST) was 8% higher when applying scanAFLP compared with AFLPScore. Likewise, random selections of markers resulted in substantial deviations of population genetic parameters compared with the data sets including specific selection criteria. These randomly selected marker sets showed surprisingly low variance among replicates. We conclude that stringent marker selection and phenotype calling reduces noise in the data set while retaining patterns of population genetic structure.

scholarly journals The mating system and population genetic structure in a bird-pollinated mallee, Eucalyptus rhodantha

Heredity ◽  
1989 ◽  
Vol 63 (3) ◽  
pp. 383-393 ◽  
Author(s):  
Jane F Sampson ◽  
Stephen D Hopper ◽  
Sidney H James
Keyword(s):  
Genetic Structure ◽  
Mating System ◽  
Population Genetic Structure ◽  
Population Genetic

scholarly journals Analisis keragaman genetik Phytophthora palmivora dari tanaman kakao di Indonesia menggunakan AFLP Genetic diversity analysis of Phytophthora palmivora from cocoa in Indonesia using AFLP

2016 ◽  
Vol 78 (2) ◽  
Author(s):  
Agus PURWANTARA ◽  
Abu UMAYAH
Keyword(s):  
Genetic Structure ◽  
Fragment Length ◽  
Theobroma Cacao ◽  
Genotypic Diversity ◽  
Stem Canker ◽  
Phytophthora Palmivora ◽  
Banding Patterns ◽  
Length Polymorphisms ◽  
Amplified Fragment Length Polymorphisms ◽  
High Degree

Abstract Phytophthora palmivora is the causal agent of pod rot, stem canker, seedling and leaf blight and cherelle wilt of cacao (Theobroma cacao) in Indonesia.  The genetic structure of the pathogen population across the country is unknown.  In this study, a population of 20 cultures of P. palmivora isolated from cocoa at six major cocoa producing provinces namely Sumatera Utara, Lampung, Jawa Barat, Jawa Timur, Sulawesi Selatan and Sulawesi Tenggara in Indonesia was evaluated for genotypic diversity using amplified fragment length polymorphisms (AFLP).  Ten primer combinations were used to evaluate all isolates, 68 out of 347 AFLP markers (19.6 %) produced were polymorphic.  Results of the AFLP analyses showed that the P. palmivora population in Indonesia possessed high degree of similarity (96 %). AFLP banding patterns indicated that the isolates form two distinct groups, but with no genetic differentiation based on geography, types of cocoa or the part of the tree from which the isolates were obtained.  These data suggest that frequent outbreaks of Phytophthora pod rot in various growing regions is probably resulted from changing of local climatic condition which is condusive for the disease epidemic rather than from different genetic structure or pathogenic populations of this pathogen, which would affect recommendations for disease management.Abstrak Phytophthora palmivora adalah penyebab penyakit busuk buah, kanker batang, hawar bibit dan daun, dan layu pentil pada tanaman kakao (Theobroma cacao) di Indonesia.  Struktur genetik dari populasi patogen di seluruh negeri belum diketahui.  Pada kajian ini, 20 kultur P. palmivora yang diisolasi dari berbagai bagian tanaman kakao dari enam provinsi penghasil kakao di Indonesia, yaitu Sumatera Utara, Lampung, Jawa Barat, Jawa Timur, Sulawesi Selatan dan Sulawesi Tenggara diuji keragaman genetiknya mengguna-kan amplified fragment length polymorphisms (AFLP). Sepuluh kombinasi primer digunakan untuk menguji semua isolat, 68 di antara 347 penanda AFLP (19,6 %) yang dihasilkan adalah polimorfik.  Hasil analisis AFLP menun-jukkan bahwa populasi P. palmivora di Indonesia mempunyai tingkat kekerabatan yang tinggi (96 %).  Pola pita AFLP menunjukkan bahwa kedua puluh isolat membentuk dua kelompok, tetapi tidak ada perbedaan berdasar letak geografis, tipe kakao atau bagian tanaman kakao asal isolat diperoleh. Data ini menunjukkan bahwa ledakan penyakit busuk buah Phytophthora yang sering terjadi di berbagai daerah diduga lebih diakibatkan oleh perubahan kondisi iklim setempat yang memicu terjadinya epidemi daripada karena perbedaan genetik atau patogenisitas dari populasi patogen, sehingga hasil ini dapat melengkapi saran-saran dalam pengelolaan penyakit.

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