Comparison of genetic variation among accessions of Aegilops tauschii using AFLP and SSR markers

Naghavi, Mohammad Reza; Mardi, Mohsen; Pirseyedi, Seyed Mostafa; Kazemi, Masoud; Potki, Payam; Ghaffari, Mohammad Reza

doi:10.1007/s10722-006-9143-z

Cited by 42 publications

(28 citation statements)

References 13 publications

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“…2a (i)). The first and second principal components of the PCO analysis on all samples accounted for 24% of the variation, which is in line with other studies (Etisham-Ul-Haq et al 2001;Jones et al 2007;Naghavi et al 2007). …”

Section: Resultssupporting

confidence: 92%

“…These processes include founder effects, genetic drift, gene flow, and adaptive ''Darwinian'' evolution (Barrett and Richardson 1986;Linhart and Grant 1996;Ward 2006), none of which are mutually exclusive. AFLP markers are accepted as an appropriate tool for investigating the role of stochastic processes, such as founder effects, genetic drift, and gene flow, in shaping the genetic structure of populations (Mueller and Wolfenbarger 1999;Genton et al 2005;Naghavi et al 2007;Wen-Kun et al 2007;Chun et al 2009;Rajagopal et al 2009). However, the contribution of adaptive evolutionary processes to the genetic structure of the invasive G. tinctoria populations was not directly addressed in this study since AFLP markers are not ideal for distinguishing between adaptive and neutral genetic changes (Merilä and Crnokrak 2001;McKay and Latta 2002).…”

Section: Discussionmentioning

confidence: 99%

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Patterns of genetic variation in invasive populations of Gunnera tinctoria: an analysis at three spatial scales

Fennell

Gallagher

2010

Biol Invasions

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While there is evidence that the genetic structure of invasive populations may be distinct from native populations, it has proved difficult to establish the causes of any variation owing in part to the range of evolutionary processes involved. In order to assess differences in the genetic structure of invasive populations of Gunnera tinctoria, five native populations were compared to 23 geographically widely dispersed invasive populations using amplified fragment length polymorphic markers (AFLPs). In total, 221 individuals were sampled at three spatial scales: inter-regional, within-region, and at a high-resolution local scale. It was observed that there were high levels of genetic variation between most populations, that invasive populations were generally distinct from both native populations and from each other and that genetic variation away from founding populations can occur relatively quickly and within a small geographic area. Changes in the pattern of genetic variation observed in invasive populations strongly indicated that founder effects and genetic drift played a significant role in shaping their genetic structure. It was further concluded that gene flow had a homogenizing effect on the structure of invasive populations occurring in close proximity, increasing their allele content and potentially contributing to their successful establishment.

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Section: Resultssupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Patterns of genetic variation in invasive populations of Gunnera tinctoria: an analysis at three spatial scales

Fennell

Gallagher

2010

Biol Invasions

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“…Genetic diversity has been evaluated in wheat and its relatives using morphological data (Lee & Kaltsikes, 1973), protein variation (Cox et al, 1985;Graybosch, 1992) and DNA markers (Chen et al, 1994;Barrett et al, 1998;Paull et al, 1998;Bohn et al, 1999;Prasad et al, 2000;Soleimani et al, 2002;Almanza-Pinzon et al, 2003;Naghavi et al, 2004Naghavi et al, , 2007. However, it is important to determine whether different diversity estimation methods provide similar information concerning the degree of variation among wheat genotypes (Burkhamer et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Assessing wheat (Triticum aestivum L.) genetic diversity using quality traits, amplified fragment length polymorphisms, simple sequence repeats and proteome analysis

Eivazi

Naghavi

Hajheidari

et al. 2007

Annals of Applied Biology

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The genetic diversity among 10 Iranian bread wheat (Triticum aestivum) genotypes was analysed using 12 quality traits, 320 amplified fragment length polymorphisms (AFLP) polymorphic fragments, 491 simple sequence repeats (SSR) alleles and 294 proteome markers. The results revealed that the genotypes differed for quality traits, AFLP, SSR and proteome markers. The average genetic diversity based on quality traits (0.684 with a range of 0.266-0.997) was higher than AFLP (0.502 with a range of 0.328-0.717), SSR (0.503 with a range of 0.409-0.595) and proteome (0.464 with a range of 0.264-0.870) markers. Although there were apparent similarities between the groupings of particular genotypes, the overall correspondence between the distance matrices appeared to be rather low. In this study, the cluster analysis based on AFLP data showed the closest agreement with genotypes' regions of origin or pedigree information. In addition to the genetic diversity assessment, specific proteins with known function were detected uniquely for the studied genotypes. Our results suggest that the classification based on quality traits and genotypic markers of these wheat genotypes will be useful for wheat breeders to plan crosses for positive traits.

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“…The genetic diversity reported in the D genome of Ae. tauschii is much higher than that in the common wheat (REIF et al, 2005;NAGHAVI & MARDI, 2010).…”

Section: Introductionmentioning

confidence: 68%

Genetic stability in synthetic wheat accessions: cytogenetic evaluation as a support in breeding programs

et al. 2017

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Synthetic wheat is developed by crossing tetraploid species ( Triticum turgidum , AABB) with a diploid species ( Aegilops tauschii , DD), followed by chromosome duplication through the use of colchicine to restore the resultant sterile hybrid to a fertile hexaploid plant. The main importance of producing synthetically improved wheat is to increase their genetic variability and to incorporate genes that code for resistance to biotic and abiotic stressors. This study aimed to evaluate the presence of micronuclei (MN) and the meiotic index (MI) in the tetrad phase in synthetic wheat accessions and cultivars ( Triticum aestivum ) stored at the Germplasm Bank of Embrapa Trigo (Brazil), in order to identify and select genetically stable accessions for plant improvement. Five plants were collected by genotype, prior to anthesis, and the tissues were fixed in Carnoy solution. Cytological slides were prepared by the smash method, and the cells were dyed with 1% acetocarmine and observed under an optical microscope. Presence of MN was observed in all genotypes analyzed, and variability of genetic stability was reported in the two years of analysis. In 2014, the highest MI of synthetic wheat accessions was 96.86% and the lowest was 46.32%. In 2015, the highest MI was 96.60% and the lowest was 47.96%. Based on the results, some genotypes were considered meiotically stable and suitable for use in wheat breeding programs.

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Comparison of genetic variation among accessions of Aegilops tauschii using AFLP and SSR markers

Cited by 42 publications

References 13 publications

Patterns of genetic variation in invasive populations of Gunnera tinctoria: an analysis at three spatial scales

Patterns of genetic variation in invasive populations of Gunnera tinctoria: an analysis at three spatial scales

Assessing wheat (Triticum aestivum L.) genetic diversity using quality traits, amplified fragment length polymorphisms, simple sequence repeats and proteome analysis

Genetic stability in synthetic wheat accessions: cytogenetic evaluation as a support in breeding programs

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