Literature DB >> 10383685

RAPD variation within and between natural populations of the wild rice oryza rufipogon from china and brazil

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Abstract

Genetic variation within and between eight natural populations of Oryza rufipogon from China and Brazil was investigated at the DNA level by analysis of RAPD fragments. Out of 60 random primers, which were initially screened against DNA from four individuals, 20 generated highly reproducible RAPD fragments which were then used for further population analysis. With these primers, 95 discernible DNA fragments were produced and 78 (82.1%) were polymorphic, which indicated that high levels of genetic variation existed in these natural populations. In addition, the Chinese populations showed greater polymorphism than those from Brazil at both the population and regional levels. This is noteworthy considering that the Chinese populations are from a relatively restricted area of China. The factors responsible for these findings include the contrasting mating systems in the Brazilian and Chinese populations, and gene flow from annual cultivated rice to perennial natural populations in China. An Analysis of Molecular Variance (AMOVA) was used to apportion the variation between individuals within populations, between populations within regions, and between regions. Results showed that 61.8% of the total genetic diversity resided between the two continents, whereas only 14.9% and 23.3% was attributable to population differences within regions and to individual differences within a population, respectively. The great genetic differentiation between the Chinese and Brazilian populations is in agreement with recent treatment of the American form of O. rufipogon as a separate species, O. glumaepatula.

Entities:  

Year:  1999        PMID: 10383685     DOI: 10.1046/j.1365-2540.1999.00516.x

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  8 in total

1.  Mating system of Brazilian Oryza glumaepatula populations studied with microsatellite markers.

Authors:  Marines M G Karasawa; Roland Vencovsky; Cynthia M Silva; Maria I Zucchi; Giancarlo C X Oliveira; Elizabeth A Veasey
Journal:  Ann Bot       Date:  2007-01-03       Impact factor: 4.357

2.  Genetic diversity and domestication history of African rice (Oryza glaberrima) as inferred from multiple gene sequences.

Authors:  Zhi-Ming Li; Xiao-Ming Zheng; Song Ge
Journal:  Theor Appl Genet       Date:  2011-03-12       Impact factor: 5.699

3.  Microsatellite analysis of genetic diversity and population genetic structure of a wild rice (Oryza rufipogon Griff.) in China.

Authors:  Hai-Fei Zhou; Zhong-Wen Xie; Song Ge
Journal:  Theor Appl Genet       Date:  2003-03-25       Impact factor: 5.699

4.  Variation in the loss of seed dormancy during after-ripening of wild and cultivated rice species.

Authors:  E A Veasey; M G Karasawa; P P Santos; M S Rosa; E Mamani; G C X Oliveira
Journal:  Ann Bot       Date:  2004-10-07       Impact factor: 4.357

5.  Contrasting population genetic structure and gene flow between Oryza rufipogon and Oryza nivara.

Authors:  Hai-Fei Zhou; Xiao-Ming Zheng; Ruo-Xun Wei; Gerard Second; Duncan A Vaughan; Song Ge
Journal:  Theor Appl Genet       Date:  2008-08-20       Impact factor: 5.699

6.  Genetic diversity in natural populations of Jacaranda decurrens Cham. determined using RAPD and AFLP markers.

Authors:  Bianca W Bertoni; Mariana P de C Telles; Milena G Malosso; Simone C Z Torres; José O Pereira; Mirian V Lourenço; Suzelei de C França; Ana M S Pereira
Journal:  Genet Mol Biol       Date:  2010-09-01       Impact factor: 1.771

7.  Genetic dissection of sympatric populations of brown planthopper, Nilaparvata lugens (Stål), using DALP-PCR molecular markers.

Authors:  M A Latif; M Y Rafii; M S Mazid; M E Ali; F Ahmed; M Y Omar; S G Tan
Journal:  ScientificWorldJournal       Date:  2012-04-19

8.  Nonfunctional alleles of long-day suppressor genes independently regulate flowering time.

Authors:  Xiao-Ming Zheng; Li Feng; Junrui Wang; Weihua Qiao; Lifang Zhang; Yunlian Cheng; Qingwen Yang
Journal:  J Integr Plant Biol       Date:  2015-09-17       Impact factor: 7.061

  8 in total

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