Population-genetic analysis of Deschampsia antarctica from two regions of maritime antarctica

Андреев, И. О.; Спиридонова, Е. В.; Kyryachenko, S.S.; Parnikoza, Іvan; Maidanyuk, D. N.; Волков, Р. А.; Kozeretska, Iryna; Кунах, В. А.

doi:10.3103/s0096392510040243

Cited by 14 publications

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“…2) in Antarctica (which is also present in central and southern Patagonia) and the higher migration rates from Patagonia to Antarctica (Table 3) support the hypothesis of dispersal from a South American origin to Antarctica, as hinted at by Van de Wouw et al (2008). The single Antarctic ITS haplotype is also in agreement with previous studies depicting a low genetic diversity in Antarctic populations (Holderegger et al, 2003;Andreev et al, 2010;Volkov et al, 2010). The lower number of haplotypes for both markers (one nuclear and four plastid) found in Antarctica supports the formation of the gene pool from a small number of initial genotypes (i.e.…”

Section: Discussion Genetic Variation In the Antarctic Hair Grasssupporting

confidence: 91%

“…Population genetic studies conducted so far on D. antarctica have been restricted to the Antarctic and sub-Antarctic islands, revealing overall a low genetic diversity and a discrete genetic diversity gradient from a maximum value in the Falkland Islands to a minimum in the Antarctic Peninsula (Holderegger et al, 2003;Chwedorzewska, Bednarek & Puchalski, 2004;Chwedorzewska, 2006;Chwedorzewska & Bednarek, 2008;Van de Wouw, Van Dijk & Huiskes, 2008). Other studies including sequences from Tierra del Fuego (Andreev et al, 2010: one sequence;Volkov et al, 2010: two sequences) were inconclusive about the genetic structure and history of the species.…”

Section: Introductionmentioning

confidence: 99%

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How did a grass reach Antarctica? The Patagonian connection of Deschampsia antarctica (Poaceae)

Fasanella

Premoli

Urdampilleta

et al. 2017

Botanical Journal of the Linnean Society

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Deschampsia antarctica is the only grass naturally occurring in Antarctica, and it is also indigenous to southern South America. We aimed to evaluate patterns of within-population genetic diversity and between the focal areas Patagonia and Antarctica by using 144 sequences of nuclear internal transcribed spacer and non-coding plastid regions. We analysed phylogenetic relationships between these two main areas and performed demographic and landscape analysis. To test the divergence time between Antarctic and Patagonian populations we used approximate Bayesian computation. We found 17 nuclear and eight plastid haplotypes. For both molecular markers, Patagonia was the most genetically variable area in the range of D. antarctica. The divergence time between populations from Antarctica and Patagonia was dated to the mid to late Pleistocene. The large number of private haplotypes found in Patagonia and the great genetic variability support the hypothesis of a South American origin of the Antarctic populations of D. antarctica. Finally, we suggest that D. antarctica probably survived the Last Glacial Maximum and possibly earlier glaciations in ice-free refugia in Patagonia and Antarctica. Dispersal to Antarctica possibly occurred in the mid to late Pleistocene through bird-aided long-distance transport from South America.

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Section: Discussion Genetic Variation In the Antarctic Hair Grasssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

How did a grass reach Antarctica? The Patagonian connection of Deschampsia antarctica (Poaceae)

Fasanella

Premoli

Urdampilleta

et al. 2017

Botanical Journal of the Linnean Society

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“…Considering all chromosomal aspects of the studied populations of D. antarctica, the South American populations are more variable than the Antarctic. Molecular studies conducted using AFLP, RAPD, sequences of the chloroplast and nuclear ITS (Holderegger et al 2003;Chwedorzewska et al 2008;Van de Wouw et al 2008;Andreev et al 2010;Volkov et al 2010) suggest that Antarctic populations generally have low genetic variation and that diversity increases at lower latitude (Holderegger et al 2003;Van de Wouw et al 2008). Until now, no genetic studies have included Patagonian and Antarctic populations; however, preliminary results from ITS sequences suggest that Patagonian populations of D. antarctica have more genetic variability that Antarctic populations (Fasanella et al in preparation).…”

Section: Origin and Chromosomal Diversification In D Antarcticamentioning

confidence: 99%

Distribution of rDNA and polyploidy in Deschampsia antarctica E. Desv. in Antarctic and Patagonic populations

et al. 2016

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Your article is protected by copyright and all rights are held exclusively by Springer-Verlag Berlin Heidelberg. This e-offprint is for personal use only and shall not be selfarchived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".

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“…But there is another task, to follow how the longterm conditions in different regions have influenced their accumulated in nature adaptive capacity to pre servation. This is more interesting because genetic studies of this species have shown a fairly low genetic heterogeneity (Andreev et al, 2010;Navrotska et al, 2017). The results of our previous studies of individual D. antarctica plants' adaptability of different origins are presented in (Miryuta et al, 2016;Parnikoza et al, 2017).…”

Section: Introductionmentioning

confidence: 96%

Calculation of United Quality Latent Indices of Deschampsia antarctica plants adaptability of different origin grown in vitro

Miryuta

Parnikoza

Poronnik

et al. 2021

UAJ

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The research was to develop and describe in detail the algorithm for calculating the United Quality Latent Index (UQLI, Iq ) of plant adaptability from the collection of Deschampsia antarctica Ė. Desv. genotypes obtained from seeds collected at different sites in the Argentine Islands region, the maritime Antarctic, and grown in vitro at the laboratory conditions. Genome size and genetic distances by ISSR and IRAP markers according to data from published articles were used as basic indices of initial genetic heterogeneity for analyzed plant genotypes. To assess individual adaptability indices for eleven D. antarctica genotypes, we used measurement of the leaf length morphometric index and determination of the flavonoids content by rutin and the content of photosynthetic pigments. The spectra of reserve and protective proteins in leaves were investigated by polyacrylamide gel electrophoresis. To obtain the United Quality Latent Index of Adaptability (Iqi, UQLI), the method of extreme grouping was used. The estimation of Iqi (UQLI) was performed using pairwise comparisons of indices from differences sets for each pair of genotypes. We developed and described in detail the algorithm for Iqi estimation for eleven D. antarctica genotypes. As an example of application, correlation models of probability relations of the indices are presented. To evaluate the complex adaptability for eleven D. antarctica genotypes grown in vitro we used developed algorithm for the UQLI calculation. The individuality of the adaptive portrait for all studied genotypes under in vitro cultivation conditions was shown. The influence of basic genetic characteristics (genome size and genetic distances) on auxin metabolism-related indices of leaf length and flavonoid content was shown. Such effect may be carried out by genetic characteristics both individually and together, probably via auxin metabolism. Among the eight genotypes researched, we distinguish four different variants by correlation models and two (positive and negative) by the general Iqi value. Thus the Iqi (UQLI) is proposed to describe a large number of source data at different organization levels which characterize sample genotypes by reducing the dimensions to one dimensionless number. This genotypes’ individuality and the peculiarities of their grouping by Iqi should be taken into account when doing experimental studies using these genotypes as model plants, especially in experiments studying the regulation of productivity and the effect of the various exogenous factors, etc.

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Population-genetic analysis of Deschampsia antarctica from two regions of maritime antarctica

Cited by 14 publications

References 5 publications

How did a grass reach Antarctica? The Patagonian connection of Deschampsia antarctica (Poaceae)

How did a grass reach Antarctica? The Patagonian connection of Deschampsia antarctica (Poaceae)

Distribution of rDNA and polyploidy in Deschampsia antarctica E. Desv. in Antarctic and Patagonic populations

Calculation of United Quality Latent Indices of Deschampsia antarctica plants adaptability of different origin grown in vitro

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