2012
DOI: 10.1007/s10336-012-0813-7
|View full text |Cite
|
Sign up to set email alerts
|

Maximising the power of discrimination is important in microsatellite-based paternity analysis in songbirds

Abstract: Even though a considerable number of genetic markers are available for paternity analysis in birds, significant difficulties can arise in the assessment and interpretation of data. Paternity analyses using genetic markers are based on comparing similarities and dissimilarities (mismatches) between candidate fathers and their putative offspring. Complications arise when only a few mismatches are being detected, because any non-shared allele might well be caused by a mutation rather than being indicative of a tr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2014
2014
2018
2018

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 17 publications
0
4
0
Order By: Relevance
“…The numbers of distinguishable genotypes gradually increased with the number of microsatellite loci combinations evaluated. Maximizing identification sensitivity by consulting the data of more microsatellite loci increases the resolution of individual discrimination (Tessier et al 1999;Galli et al 2005;Poetsch et al 2012). Nevertheless, based on the combinations of nine microsatellite loci, only two individuals could not be distinguished from the others (Figure 4b).…”
Section: Discrimination Ability Of Polymorphic Microsatellite Markersmentioning
confidence: 99%
“…The numbers of distinguishable genotypes gradually increased with the number of microsatellite loci combinations evaluated. Maximizing identification sensitivity by consulting the data of more microsatellite loci increases the resolution of individual discrimination (Tessier et al 1999;Galli et al 2005;Poetsch et al 2012). Nevertheless, based on the combinations of nine microsatellite loci, only two individuals could not be distinguished from the others (Figure 4b).…”
Section: Discrimination Ability Of Polymorphic Microsatellite Markersmentioning
confidence: 99%
“…Then, we analyzed the distribution of SSRs that have 2-6 bp repeat motif and are widely used. Of the 14,090 SSR identified in the coding region, dinucleotide accounts for 72.2% (10,180), tri-nucleotide is 17.6% (2478), tetra-nucleotide is 9.3% (1309), followed by penta-nucleotide 0.7% (98) and hexa-nucleotide 0.2% (25). Of the 10,584 SSR identified in the 5'-UTR, the most abundant is also dinucleotide accounting for 74.3% (7868), followed by tri-, tetra-, penta-and hexa-nucleotide with 14.5% (1532), 10% (1061), 1.1% (118) and 0.04% (5), respectively.…”
Section: Characterization Of Est-ssrs In the Yellow Catfish Transcripmentioning
confidence: 99%
“…Based on their locations, SSRs can be classified into genomic SSRs (gSSRs) and Expressed Sequence Tag-SSRs (EST-SSRs) [9]. Because of high level of polymorphism, SSRs have wide applications in population genetics, such as parentage analysis [10], Quantitative Trait Locus (QTL) mapping [11], marker assisted selection (MAS) [12], and phylogenetic studies [13]. Traditional methods of developing gSSR markers require fragmented genomic DNA and are usually time-consuming and labor-intensive.…”
Section: Introductionmentioning
confidence: 99%
“…Simple sequence repeats are tandem repeat DNA sequences that are highly polymorphic and are increasingly used as marker systems in molecular genetics studies, including research on parentage analysis ( Poetsch et al, 2012 ), quantitative trait locus mapping ( Keong et al, 2014 ), marker-assisted selection ( Song et al, 2012 ) and population genetics ( Remington et al, 2001 ). By transcriptome sequencing, we identified a large number of SSRs and analyzed the types and frequencies.…”
Section: Discussionmentioning
confidence: 99%