2017
DOI: 10.1134/s1022795417100052
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Genetic variability and population structure of sockeye salmon from the Asian Coast of Pacific Ocean

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Cited by 8 publications
(10 citation statements)
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“…The low differentiation level of Western Kamchatka populations of sockeye salmon, as identified both in the present work and in our previous studies (Khrustaleva et al, 2014(Khrustaleva et al, , 2017, is most likely due to their common origin. The majority of Asian sockeye salmon populations are widely considered as relatively young by historical standards, and their age does not exceed 10-12 thousand years (Cheshnev, 1998;Brykov et al, 2005), since its modern distribution range largely coincides with the supposed area of the last Wisconsin glaciation (maximum ~26.5−19.0 thousand years ago, deglaciation ~ 16.90−12.68 thousand years ago) in the North Pacific Velichko and Faustova, 1989).…”
Section: Discussionsupporting
confidence: 69%
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“…The low differentiation level of Western Kamchatka populations of sockeye salmon, as identified both in the present work and in our previous studies (Khrustaleva et al, 2014(Khrustaleva et al, , 2017, is most likely due to their common origin. The majority of Asian sockeye salmon populations are widely considered as relatively young by historical standards, and their age does not exceed 10-12 thousand years (Cheshnev, 1998;Brykov et al, 2005), since its modern distribution range largely coincides with the supposed area of the last Wisconsin glaciation (maximum ~26.5−19.0 thousand years ago, deglaciation ~ 16.90−12.68 thousand years ago) in the North Pacific Velichko and Faustova, 1989).…”
Section: Discussionsupporting
confidence: 69%
“…The first principal component in the factor analysis had reliable association with the spawning time of sockeye salmon in the basin of Lake Kurilskoye and had the greatest load at the loci U503-170, MHC,Prl2, It should be noted that most of the listed loci were candidates for targeted selection in both Asian and North American Pacific Coastal populations of the sockeye salmon (Ackerman et al, 2011;Gomez-Uchida et al, 2011;Khrustaleva et al, 2017). Thus, it is likely that the differences in spawning periods are mainly to selective processes, while the geographical division of the sockeye salmon in the basin of Lake Kurilskoye is caused by the factors related to restriction of gene flow between the groups, since the main contribution to the second component was made by the potentially selectively neutral loci or by the loci under balancing selection in a number of localities: VIM-569, zP3b, and MARCKS-241 (Khrustaleva et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…The groups with multiple sample years per location (Table 1) did not show substantial temporal genetic deviation; all F ST values were close to zero or negative (F ST ≤ 0.011; Table 2). We retained the "Rsvr 2000" group separately from other reservoir groups (F ST = 0.082) due to an indication of a Wahlund effect (Khrustaleva et al 2017), while groups that were sampled before (1988)(1989)(1990); Native Rsvr) and after (2016 and 2019; Rsvr Forebay) the year 2000 were respectively combined by sample location (Table 1). Group sample sizes ranged from 13 (Osilinka River) to 345 (Meadow Creek) individuals.…”
Section: Microsatellite Markersmentioning
confidence: 99%
“…2000 group indicated nonsignificant evidence for 6 null alleles (row 19 of Table A2.2). As Kokanee in this group were collected from the reservoir rather than a discrete spawning channel (Pillipow and Langston 2002), there is a possibility that this evidence of null alleles may indicate a Wahlund effect; when samples are collected from a mixed catch, such as spawning lakes or along spawning migration routes, the resulting analysis can show a Wahlund effect with varying gene frequencies and an overabundance of homozygotes (Khrustaleva et al 2017). For salmon populations with relatively short evolutionary timeframes (10,000-15,000 years), null alleles may not hinder analyses of genetic population structure (Small et al 1998).…”
Section: Samplingmentioning
confidence: 99%
“…In contrast to microsatellites, which are selectively neutral within the genome, SNPs allow for the examination of selective genes, which may offer high resolution stock identification where applicable (Habicht et al 2010;Dann et al 2012). Additionally, as conservative markers, SNPs retain evidence of shifts in allele frequency distribution that occurred in relatively ancient times more so than microsatellites (Khrustaleva et al 2017). This may make SNPs more effective in phylogenetic reconstructions than microsatellites, which have not been historically successful in analyses of populations that are not closely related (Goldstein and Pollock 1997).…”
Section: Interactions Between Columbia-type and Native Fishmentioning
confidence: 99%