Limits...
Quantitative trait loci (QTL) associated with resistance to a monogenean parasite (Benedenia seriolae) in yellowtail (Seriola quinqueradiata) through genome wide analysis.

Ozaki A, Yoshida K, Fuji K, Kubota S, Kai W, Aoki JY, Kawabata Y, Suzuki J, Akita K, Koyama T, Nakagawa M, Hotta T, Tsuzaki T, Okamoto N, Araki K, Sakamoto T - PLoS ONE (2013)

Bottom Line: Genetic variation has been inferred to play a significant role in determining the susceptibility to this parasitic disease.These QTL regions explained 32.9-35.5% of the phenotypic variance.The QTL related to growth was found on another linkage group (Squ7).

View Article: PubMed Central - PubMed

Affiliation: National Research Institute of Aquaculture, Fisheries Research Agency, Nakatsuhamaura, Minamiise-cho, Watarai-gun, Mie, Japan. aozaki@affrc.go.jp

ABSTRACT
Benedenia infections caused by the monogenean fluke ectoparasite Benedenia seriolae seriously impact marine finfish aquaculture. Genetic variation has been inferred to play a significant role in determining the susceptibility to this parasitic disease. To evaluate the genetic basis of Benedenia disease resistance in yellowtail (Seriola quinqueradiata), a genome-wide and chromosome-wide linkage analyses were initiated using F1 yellowtail families (n = 90 per family) based on a high-density linkage map with 860 microsatellite and 142 single nucleotide polymorphism (SNP) markers. Two major quantitative trait loci (QTL) regions on linkage groups Squ2 (BDR-1) and Squ20 (BDR-2) were identified. These QTL regions explained 32.9-35.5% of the phenotypic variance. On the other hand, we investigated the relationship between QTL for susceptibility to B. seriolae and QTL for fish body size. The QTL related to growth was found on another linkage group (Squ7). As a result, this is the first genetic evidence that contributes to detailing phenotypic resistance to Benedenia disease, and the results will help resolve the mechanism of resistance to this important parasitic infection of yellowtail.

Show MeSH

Related in: MedlinePlus

Significant markers for Benedenia disease resistance multiple-QTL model mapping in linkage group Squ2F and Squ20F with family A.Squ(linkage group)F; marker distance in female map. (A) Squ2F, (B) Squ20F. This figure was described using by MapQTL 5.
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3672171&req=5

pone-0064987-g003: Significant markers for Benedenia disease resistance multiple-QTL model mapping in linkage group Squ2F and Squ20F with family A.Squ(linkage group)F; marker distance in female map. (A) Squ2F, (B) Squ20F. This figure was described using by MapQTL 5.

Mentions: After simple interval mapping consideration of analysis results of family A, Multiple QTL model was performed. Multiple QTL model mapping was applied to detect significant loci with the exception of ghost QTL, and is based on backward elimination. Therefore significant regions in linkage group Squ8 (ex. Sequ0670BAC) were rejected as QTL region in this step. Map positions and LOD scores are based on multiple QTL model analysis using the software MapQTL 5. The results of the multiple QTL model mapping are shown in Table 4 and Figure 3. Peaks of LOD score were higher than the simple interval mapping results, example BDR-1 on Squ2 was indicated as LOD = 5.21, and BDR-2 on Squ20 was indicated as LOD = 3.47. But the marker locus Sequ1071TUF (LOD = 2.89) was less than the genome-wide LOD significance level (Pg <0.05) in edge of Squ20 linkage group. LOD peaks were combined into multiple QTL model mapping results, the two loci (Sequ1295BAC; Squ2, Sequ0808T TUF; Squ20) could explain phenotypic variance ranging up to 32.9%.


Quantitative trait loci (QTL) associated with resistance to a monogenean parasite (Benedenia seriolae) in yellowtail (Seriola quinqueradiata) through genome wide analysis.

Ozaki A, Yoshida K, Fuji K, Kubota S, Kai W, Aoki JY, Kawabata Y, Suzuki J, Akita K, Koyama T, Nakagawa M, Hotta T, Tsuzaki T, Okamoto N, Araki K, Sakamoto T - PLoS ONE (2013)

Significant markers for Benedenia disease resistance multiple-QTL model mapping in linkage group Squ2F and Squ20F with family A.Squ(linkage group)F; marker distance in female map. (A) Squ2F, (B) Squ20F. This figure was described using by MapQTL 5.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3672171&req=5

pone-0064987-g003: Significant markers for Benedenia disease resistance multiple-QTL model mapping in linkage group Squ2F and Squ20F with family A.Squ(linkage group)F; marker distance in female map. (A) Squ2F, (B) Squ20F. This figure was described using by MapQTL 5.
Mentions: After simple interval mapping consideration of analysis results of family A, Multiple QTL model was performed. Multiple QTL model mapping was applied to detect significant loci with the exception of ghost QTL, and is based on backward elimination. Therefore significant regions in linkage group Squ8 (ex. Sequ0670BAC) were rejected as QTL region in this step. Map positions and LOD scores are based on multiple QTL model analysis using the software MapQTL 5. The results of the multiple QTL model mapping are shown in Table 4 and Figure 3. Peaks of LOD score were higher than the simple interval mapping results, example BDR-1 on Squ2 was indicated as LOD = 5.21, and BDR-2 on Squ20 was indicated as LOD = 3.47. But the marker locus Sequ1071TUF (LOD = 2.89) was less than the genome-wide LOD significance level (Pg <0.05) in edge of Squ20 linkage group. LOD peaks were combined into multiple QTL model mapping results, the two loci (Sequ1295BAC; Squ2, Sequ0808T TUF; Squ20) could explain phenotypic variance ranging up to 32.9%.

Bottom Line: Genetic variation has been inferred to play a significant role in determining the susceptibility to this parasitic disease.These QTL regions explained 32.9-35.5% of the phenotypic variance.The QTL related to growth was found on another linkage group (Squ7).

View Article: PubMed Central - PubMed

Affiliation: National Research Institute of Aquaculture, Fisheries Research Agency, Nakatsuhamaura, Minamiise-cho, Watarai-gun, Mie, Japan. aozaki@affrc.go.jp

ABSTRACT
Benedenia infections caused by the monogenean fluke ectoparasite Benedenia seriolae seriously impact marine finfish aquaculture. Genetic variation has been inferred to play a significant role in determining the susceptibility to this parasitic disease. To evaluate the genetic basis of Benedenia disease resistance in yellowtail (Seriola quinqueradiata), a genome-wide and chromosome-wide linkage analyses were initiated using F1 yellowtail families (n = 90 per family) based on a high-density linkage map with 860 microsatellite and 142 single nucleotide polymorphism (SNP) markers. Two major quantitative trait loci (QTL) regions on linkage groups Squ2 (BDR-1) and Squ20 (BDR-2) were identified. These QTL regions explained 32.9-35.5% of the phenotypic variance. On the other hand, we investigated the relationship between QTL for susceptibility to B. seriolae and QTL for fish body size. The QTL related to growth was found on another linkage group (Squ7). As a result, this is the first genetic evidence that contributes to detailing phenotypic resistance to Benedenia disease, and the results will help resolve the mechanism of resistance to this important parasitic infection of yellowtail.

Show MeSH
Related in: MedlinePlus