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
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
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DOI：
10.1007/s00122-005-0096-y
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发表时间：
2005-09
影响因子：
5.4
通讯作者：
P. Subudhi;N. P. Parami;S. Harrison;Michael D. Materne;J. Murphy;David L. Nash
中科院分区：
文献类型：
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作者：
P. Subudhi;N. P. Parami;S. Harrison;Michael D. Materne;J. Murphy;David L. Nash
紫背天葵俗称海燕麦，是一种能够稳定沙丘的C4多年生禾本科植物。它是最丰富的沿着墨西哥湾和东南大西洋沿岸地区的美国。该物种表现出低的种子集和低发芽率和出苗率，因此广泛的克隆繁殖是通过生产根茎，这可能有助于遗传多样性的下降。到目前为止，还没有系统的遗传变异性和种群结构的评估，在自然发生的立场在美国。本研究旨在评估19个美国品种的遗传关系和多样性。代表八个州的圆锥花序种质：德克萨斯州、路易斯安那州、密西西比州、亚拉巴马州、佛罗里达州、南卡罗来纳州、北卡罗来纳州和弗吉尼亚州，使用扩增片段长度多态性（AFLP）。12个AFLPEcoRI+MseI引物组合产生了广泛的多态性（42-81%），平均为59%。总体而言，海燕麦植物表现出低范围的遗传相似性。佛罗里达种质FL-33和FL-39的遗传多样性最大，而来自南卡罗来纳和弗吉尼亚的种质（NC-1、NC-11、SC-15和VA-53）的遗传变异性较小。聚类分析采用UPGMA方法分离U。主坐标分析（PCO）也证实了这一点。通过分子方差分析（AMOVA）进一步研究遗传变异的不同组成部分，表明在州一级的变异比例最大（47.8%），其次是由于加入（34.4%）内的基因型之间的差异，和加入一个国家（17.8%）之间的差异。通过这项全面的研究揭示了美国海燕麦种群遗传多样性和地理来源之间的关系，这将有助于资源管理者和商业苗圃在不损害适应性和遗传多样性的情况下，确定合适的植物材料用于恢复新的地区。
Uniola paniculata, commonly known as sea oats, is a C4perennial 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 nineteenU. paniculataaccessions representing eight states: Texas, Louisiana, Mississippi, Alabama, Florida, South Carolina, North Carolina, and Virginia, using amplified fragment length polymorphism (AFLP). Twelve AFLPEcoRI+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 separatedU. paniculataplants 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.