Isolation, characterization and multiplex PCR development of Bean Goose (Anser fabalis) microsatellite loci

Kleven, Oddmund; Kroglund, Rolf Terje; Østnes, Jan Eivind

doi:10.1007/s10336-015-1309-z

Cited by 7 publications

(8 citation statements)

References 12 publications

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“…In Slovakia exist two recognize national goose breeds Suchovska and Slovak, as a combination of old indigenous breeds and foreign introduced breeds and extinct crossbreed Tesedik Goose. The Suchovska Goose is a result of crossbreeding of local yellow fathering geese with French (Toulouse, Landes) and German (Pomorany, Steinbach) geese, originated at the end of the 1980`s in the village of Suchá nad Parnou and recognized as a breed in 1995 (Kadlečík et al, 2004). It required breeding geese of bigger body frame, firm constitution and of compact and solid body.…”

Section: Introductionmentioning

confidence: 99%

“…Regional German and Hungarian types of goose were used during the breeding process. A year of recognition and initial numbers of birds are unknown (Kadlečík et al, 2004). The aim of breeding was to create a medium weight triple purpose (meat, liver¸ feather) geese suitable for corn areas, strong resistant geese with a good pasturing ability and with preserved clucking instinct achieved (Weis and Hrnčár, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Genetic Diversity of Slovak Origin Geese Populations

Mindek¹,

Hrnčár²,

Weis³

et al. 2018

J microb biotech food sci

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The genetic diversity was assessed in 102 individual genotypes in two national goose breeds Suchovska and Slovak and one extinct production crossbreed Tesedik Goose. A total of 40 alleles were found across 6 detected microsatellite loci with a mean number of 6.67 alleles per locus. The mean observed heterozygosity in total population was 0.40. The degree of inbreeding of Suchovska, Slovak and Tesedik calculated as a mean FIS was 0.15, 0.11 and 0.07 respectively. The populations were low differentiated, with a mean FST value 0.075 in total population. The highest genetic distance was estimated between Slovak and Tesedik (0.087). The results of genetic diversity showed that Suchovska and Slovak Goose satisfies criteria for endangered breeds.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genetic Diversity of Slovak Origin Geese Populations

Mindek¹,

Hrnčár²,

Weis³

et al. 2018

J microb biotech food sci

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“…We analyzed 14 microsatellite loci tested previously and proved to be polymorphic: in Polish local breeds (eight microsatellite loci: Bca µ1, TTUCG5, CKW21, Bca µ9, Bca µ8, CAUD-G013, CAUD-G007, Aal µ1, CAUD-G012) and European breeds (five microsatellite loci: Ans02, Ans18, Ans25, Afa35, Ans07) [5,7,17,24,25]. Moreover, this was the first analysis including biological material of the White Kołuda ® goose.…”

Section: Discussionmentioning

confidence: 99%

“…The same number of alleles (four) were observed in Bca µ8 according to our studies and Andres et al [7], though compared to other analyzed markers it did not show a high level of allele content. Furthermore, Afa35 was the most polymorphic microsatellite loci in Bean geese according to Kleven et al [25], with seven alleles in the Norwegian population. In our populations we observed even higher polymorphism of this marker with 10 different alleles.…”

Section: Discussionmentioning

confidence: 99%

An Evaluation of the Genetic Structure of Geese Maintained in Poland on the Basis of Microsatellite Markers

Warzecha

Oczkowicz

Rubiś

et al. 2019

Animals

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Simple SummaryThis study was conducted with the aim of evaluating the genetic variability of Polish national goose breeds, using polymorphism of 15 microsatellite markers. The results revealed a highly mixed genotype of all the examined geese, suggesting that breeds cannot be distinguished from each other on the basis of microsatellite markers.AbstractThe aim of this study was to evaluate the genetic variability of the White Kołuda® goose and 12 conservative flocks: Kielecka, Podkarpacka, Garbonosa, Pomerian, Rypinska, Landes, Lubelska, Suwalska, Kartuska, Romanska, Slowacka, and Kubanska, maintained in Poland using microsatellite data. The genetic diversity of geese kept in Poland remains poorly analyzed at the molecular level. In total 392 samples were examined with the usage of 15 microsatellite markers. 119 alleles were identified and the number of alleles per locus ranged from 1 to 13. The highest number of alleles was observed in TTUCG5 (16) and the lowest in CAUD-G007 (2), while CKW47 was monomorphic. The lowest value of expected heterozygosity (He) was observed in Landes, while the highest in Romanska. Similarly, the observed heterozygosity (Ho) was the lowest in Landes but the highest in Kartuska. The polymorphism information content (PIC) indicates loci TTUCG5 as the most valuable microsatellite marker among those examined. The Structure software was used for the first time to identify goose populations, revealing high admixture between breeds and their close genetic propinquity. Moreover, the presented panel of microsatellite markers remained polymorphic and is useful for population studies of geese and assessment of genetic diversity.

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“…Non-invasive samples such as feces, hair and feather are useful for species, sex and diet identification of endangered and/or elusive species (Sacchi et al 2004 ; Horvath et al 2005 ; Waits & Paetkau 2005 ; Deagle et al 2007 ; Kim et al 2011 ). For geese, most studies generally use invasive samples, such as blood and tissue samples (Quinn et al 1991 ; Huang et al 2003 ), and only a few studies used non-invasive samples, such as feathers (Kim et al 2012 ; Kleven et al 2016 ). Several non-invasive methods have been used for diet analysis of herbivores, including: (i) microscopical examination of plant cuticle fragments in fecal samples, (ii) chemical analysis of the natural alkanes of plant cuticular wax, (iii) near-infrared reflectance spectroscopy, and (iv) detection of plant DNA using PCR (Deagle et al 2007 ; Valentini et al 2009 ).…”

Section: Introductionmentioning

confidence: 99%

A preliminary analysis of the diet composition of overwintering Bean geese (Anser fabalis) and greater white-fronted geese (A. albifrons) in Korea using PCR on fecal samples

Kim

Lee

Kim

2017

Animal Cells and Systems

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Bean geese (Anser fabalis) and Greater white-fronted geese (Anser albifrons) are the dominant wintering waterfowl in South Korea. Although they are commonly observed in estuaries and rice fields during the winter, the diet composition of the geese during the winter has rarely been studied. In this study, we provide the results from preliminary analyses on the diet of these two geese species overwintering in Daebu Island of South Korea. We used a total of 13 fecal samples from Bean geese (n = 4) and Greater white-fronted geese (n = 9), and performed a BLAST search for the sequences obtained from 87 clones (n = 36 for Bean geese and n = 51 for Greater white-fronted geese). The diet of Bean geese consisted of five families of plants: Caryophyllaceae (75.0%), Poaceae (13.9%), Asteraceae (5.5%), Polygonaceae (2.8%) and Cucurbitacea (2.8%). On the other hand, the diet of Greater white-fronted geese consisted of 6 families of plants: Poaceae (74.5%), Caryophyllaceae (9.8%), Solanacea (5.9%), Portulacaceae (3.9%), Lamiaceae (3.9%) and Brassicaceae (2.0%). We found that plants of the rice family (Poaceae) are important in the diet of wintering geese, especially for Greater white-fronted geese. This knowledge can be used to establish conservation strategies of the geese overwintering in South Korea.

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Isolation, characterization and multiplex PCR development of Bean Goose (Anser fabalis) microsatellite loci

Cited by 7 publications

References 12 publications

Genetic Diversity of Slovak Origin Geese Populations

Genetic Diversity of Slovak Origin Geese Populations

An Evaluation of the Genetic Structure of Geese Maintained in Poland on the Basis of Microsatellite Markers

A preliminary analysis of the diet composition of overwintering Bean geese (Anser fabalis) and greater white-fronted geese (A. albifrons) in Korea using PCR on fecal samples

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