Literature DB >> 16195884

An AFLP-based survey of genetic diversity among accessions of sea oats (Uniola paniculata, Poaceae) from the southeastern Atlantic and Gulf coast states of the United States.

Prasanta K Subudhi1, Neil P Parami, Stephen A Harrison, Michael D Materne, J Paul Murphy, David Nash.   

Abstract

Uniola paniculata, commonly known as sea oats, is a C4 perennial grass capable of stabilizing sand dunes. It is most abundant along the Gulf of Mexico and southeastern Atlantic coastal regions of the United States. The species exhibits low seed set and low rates of germination and seedling emergence, and so extensive clonal reproduction is achieved through production of rhizomes, which may contribute to a decline in genetic diversity. To date, there has been no systematic assessment of genetic variability and population structure in naturally occurring stands in the USA. This study was conducted to assess the genetic relationship and diversity among nineteen U. paniculata accessions representing eight states: Texas, Louisiana, Mississippi, Alabama, Florida, South Carolina, North Carolina, and Virginia, using amplified fragment length polymorphism (AFLP). Twelve AFLP EcoRI + MseI primer combinations generated a wide range of polymorphisms (42-81%) with a mean of 59%. Overall, the sea oats plants exhibited a low range of genetic similarity. Florida accessions, FL-33 and FL-39, were most genetically diverse and the accessions from both Carolinas and Virginia (NC-1, NC-11, SC-15, and VA-53) harbored less genetic variability. Cluster analysis using the UPGMA approach separated U. paniculata plants into four major clusters which were also confirmed by principal coordinate analysis (PCO). Further examination of the different components of genetic variation by analysis of molecular variance (AMOVA) indicated the largest proportion of variability at the state level (47.8%) followed by the variation due to the differences among the genotypes within an accession (34.4%), and the differences among the accessions within a state (17.8%). The relationship between genetic diversity and geographic source of sea oats populations of the United States as revealed through this comprehensive study will be helpful to resource managers and commercial nurseries in identifying suitable plant materials for restoration of new areas without compromising the adaptation and genetic diversity.

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Year:  2005        PMID: 16195884     DOI: 10.1007/s00122-005-0096-y

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


  5 in total

1.  Genetic relationships of Aglaonema species and cultivars inferred from AFLP markers.

Authors:  Jianjun Chen; Pachanoor S Devanand; David J Norman; Richard J Henny; Chih-cheng T Chao
Journal:  Ann Bot       Date:  2004-02       Impact factor: 4.357

2.  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

3.  Multi-scale genetic analysis of Uniola paniculata (Poaceae): a coastal species with a linear, fragmented distribution.

Authors:  Steven J Franks; C L Richards; E Gonzales; J E Cousins; J L Hamrick
Journal:  Am J Bot       Date:  2004-09       Impact factor: 3.844

4.  Modified AFLP technique for rapid genetic characterization in plants.

Authors:  D G Ranamukhaarachchi; M E Kane; C L Guy; Q B Li
Journal:  Biotechniques       Date:  2000-10       Impact factor: 1.993

Review 5.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

  5 in total
  4 in total

1.  Association analysis, genetic diversity and structure analysis of tobacco based on AFLP markers.

Authors:  Ahmad Reza Dadras; Hossein Sabouri; Ghasem Mohammadi Nejad; Atefeh Sabouri; Mardavij Shoai-Deylami
Journal:  Mol Biol Rep       Date:  2014-02-02       Impact factor: 2.316

2.  Evidence for genetic differentiation and divergent selection in an autotetraploid forage grass (Arrhenatherum elatius).

Authors:  Stefan Georg Michalski; Walter Durka; Anke Jentsch; Juergen Kreyling; Sven Pompe; Oliver Schweiger; Evelin Willner; Carl Beierkuhnlein
Journal:  Theor Appl Genet       Date:  2010-01-05       Impact factor: 5.699

3.  Literature-based latitudinal distribution and possible range shifts of two US east coast dune grass species (Uniola paniculata and Ammophila breviligulata).

Authors:  Reuben G Biel; Joseph K Brown; Sally D Hacker; Katya R Jay; Rebecca S Mostow; Peter Ruggiero; Julie C Zinnert; Evan B Goldstein; Elsemarie V Mullins; Laura J Moore
Journal:  PeerJ       Date:  2018-06-08       Impact factor: 2.984

4.  Evaluation of genetic diversity of Panicum turgidum Forssk from Saudi Arabia.

Authors:  Abdulaziz M Assaeed; Sulieman A Al-Faifi; Hussein M Migdadi; Magdy I El-Bana; Abdulaziz A Al Qarawi; Mohammad Altaf Khan
Journal:  Saudi J Biol Sci       Date:  2017-04-12       Impact factor: 4.219

  4 in total

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