scholarly journals The genomics of growth and blue spots in a cultured population of Australasian snapper Chrysophrys auratus

2021 ◽  
Author(s):  
◽  
David T. Ashton

<p>Characterizing the genome and understanding how it influences phenotypic variation is a central goal for studies on evolution. The findings of genomic research are applicable to a wide range of human endeavours, including predicting disease risk, supporting selective breeding programmes, and understanding adaptive variation in natural populations. One industry that could particularly benefit from this knowledge is Aquaculture. In recent years, aquaculture production has been increasing to offset the production limits of wild fisheries. Genomics can be used in aquaculture to quantify variation of captive populations, reconstruct pedigrees, and improve the gains from selective breeding programs. The overall goal of this thesis research was to generate a genome-wide genotyping dataset and investigated several key traits for Australasian snapper (Chrysophrys auratus or Pagrus auratus). The findings will be used to establish one of the first genomics-informed New Zealand aquaculture programmes and provide a better understanding of the genotype-phenotype relationships in this teleost species.  The first two chapters of this thesis provide a review of the literature and establish the background information and context for the research in subsequent data chapters. A brief overview of genomics, fisheries and aquaculture, and the intersection of these two fields are provided in the Chapter 1. An in-depth quantitative review of 146 Quantitative Trait Loci (QTL) studies in teleost fish was then carried out in Chapter 2.  Chapter 3 provides details about the study population and the collection of genotyping data. Genotyping-By-Sequencing (GBS) was used to generate 11K Single Nucleotide Polymorphism (SNP) markers for individuals in the three generation pedigree. Together with phenotypic data the genotyping was used to reconstruct the pedigree, measure inbreeding, and estimate heritability for a range of traits. Parents were identified for 93% of the offspring and successful pedigree reconstruction indicated highly uneven contributions of each parent to the subsequent generations. The average inbreeding level did not change between generations, but significantly different inbreeding levels were observed between offspring from the two founding cohorts and as a result full and half sibling crosses within the group spawning teleost species. Heritability was estimated for a range of traits using both a pedigree relatedness matrix and a genomic relatedness matrix.  Chapter 4, uses the genotyping and phenotyping data to generate a linkage map and carry out a scan for quantitative trait loci (QTLs) associated with growth rate. The linkage map reported in this thesis is one of the highest density maps for any Sparidae species at the time of writing. It contained 24 linkage groups, which represent the 24 snapper chromosomes. Growth QTLs were found on three linkage groups and a scan of available genome data identified three candidate growth genes nearby on the linkage groups.  Chapter 5, uses the genotyping data and images collected during the study to characterize snappers blue spots and search for QTLs associated with spot numbers. QTLs were found on 12 of the 24 linkage groups, of which one was consistent between two QTL methods applied. A scan of available genome data identified the tyrosinase gene in the middle of the putative QTL region, which is a causal gene for iridophore cell numbers that form blue spots in other fish species.  Chapter 6, discuss the implications, future directions, and application of this research to the snapper breeding programme.</p>

2021 ◽  
Author(s):  
◽  
David T. Ashton

<p>Characterizing the genome and understanding how it influences phenotypic variation is a central goal for studies on evolution. The findings of genomic research are applicable to a wide range of human endeavours, including predicting disease risk, supporting selective breeding programmes, and understanding adaptive variation in natural populations. One industry that could particularly benefit from this knowledge is Aquaculture. In recent years, aquaculture production has been increasing to offset the production limits of wild fisheries. Genomics can be used in aquaculture to quantify variation of captive populations, reconstruct pedigrees, and improve the gains from selective breeding programs. The overall goal of this thesis research was to generate a genome-wide genotyping dataset and investigated several key traits for Australasian snapper (Chrysophrys auratus or Pagrus auratus). The findings will be used to establish one of the first genomics-informed New Zealand aquaculture programmes and provide a better understanding of the genotype-phenotype relationships in this teleost species.  The first two chapters of this thesis provide a review of the literature and establish the background information and context for the research in subsequent data chapters. A brief overview of genomics, fisheries and aquaculture, and the intersection of these two fields are provided in the Chapter 1. An in-depth quantitative review of 146 Quantitative Trait Loci (QTL) studies in teleost fish was then carried out in Chapter 2.  Chapter 3 provides details about the study population and the collection of genotyping data. Genotyping-By-Sequencing (GBS) was used to generate 11K Single Nucleotide Polymorphism (SNP) markers for individuals in the three generation pedigree. Together with phenotypic data the genotyping was used to reconstruct the pedigree, measure inbreeding, and estimate heritability for a range of traits. Parents were identified for 93% of the offspring and successful pedigree reconstruction indicated highly uneven contributions of each parent to the subsequent generations. The average inbreeding level did not change between generations, but significantly different inbreeding levels were observed between offspring from the two founding cohorts and as a result full and half sibling crosses within the group spawning teleost species. Heritability was estimated for a range of traits using both a pedigree relatedness matrix and a genomic relatedness matrix.  Chapter 4, uses the genotyping and phenotyping data to generate a linkage map and carry out a scan for quantitative trait loci (QTLs) associated with growth rate. The linkage map reported in this thesis is one of the highest density maps for any Sparidae species at the time of writing. It contained 24 linkage groups, which represent the 24 snapper chromosomes. Growth QTLs were found on three linkage groups and a scan of available genome data identified three candidate growth genes nearby on the linkage groups.  Chapter 5, uses the genotyping data and images collected during the study to characterize snappers blue spots and search for QTLs associated with spot numbers. QTLs were found on 12 of the 24 linkage groups, of which one was consistent between two QTL methods applied. A scan of available genome data identified the tyrosinase gene in the middle of the putative QTL region, which is a causal gene for iridophore cell numbers that form blue spots in other fish species.  Chapter 6, discuss the implications, future directions, and application of this research to the snapper breeding programme.</p>


2015 ◽  
Vol 154 (7) ◽  
pp. 1209-1217 ◽  
Author(s):  
A. BOONCHANAWIWAT ◽  
S. SRAPHET ◽  
S. WHANKAEW ◽  
O. BOONSENG ◽  
D. R. SMITH ◽  
...  

SUMMARYCassava (Manihot esculenta Crantz) is an economically important root crop in Thailand, which is ranked the world's top cassava exporting country. Production of cassava can be hampered by several pathogens and pests. Cassava anthracnose disease (CAD) is an important disease caused by the fungus Colletotrichum gloeosporioides f. sp. manihotis. The pathogen causes severe stem damage resulting in yield reductions and lack of stem cuttings available for planting. Molecular studies of cassava response to CAD will provide useful information for cassava breeders to develop new varieties with resistance to the disease. The current study aimed to identify quantitative trait loci (QTL) and DNA markers associated with resistance to CAD. A total of 200 lines of two F1 mapping populations were generated by reciprocal crosses between the varieties Huabong60 and Hanatee. The F1 samples were genotyped based on simple sequence repeat (SSR) and expressed sequence tag-SSR markers and a genetic linkage map was constructed using the JoinMap®/version3·0 program. The results showed that the map consisted of 512 marker loci distributed on 24 linkage groups with a map length of 1771·9 centimorgan (cM) and a mean interval between markers of 5·7 cM. The genetic linkage map was integrated with phenotypic data for the response to CAD infection generated by a detached leaf assay test. A total of three QTL underlying the trait were identified on three linkage groups using the MapQTL®/version4·0 program. Those DNA markers linked to the QTL that showed high statistically significant values with the CAD resistance trait were identified for gene annotation analysis and 23 candidate resistance genes to CAD infection were identified.


Genome ◽  
2012 ◽  
Vol 55 (5) ◽  
pp. 360-369 ◽  
Author(s):  
Wengang Xie ◽  
Joseph G. Robins ◽  
B. Shaun Bushman

Orchardgrass ( Dactylis glomerata L.), or cocksfoot, is indigenous to Eurasia and northern Africa, but has been naturalized on nearly every continent and is one of the top perennial forage grasses grown worldwide. To improve the understanding of genetic architecture of orchardgrass and provide a template for heading date candidate gene search in this species, the goals of the present study were to construct a tetraploid orchardgrass genetic linkage map and identify quantitative trait loci associated with heading date. A combination of SSR markers derived from an orchardgrass EST library and AFLP markers were used to genotype an F1 population of 284 individuals derived from a very late heading Dactylis glomerata subsp. himalayensis parent and an early to mid-heading Dactylis glomerata subsp. aschersoniana parent. Two parental maps were constructed with 28 cosegregation groups and seven consensus linkage groups each, and homologous linkage groups were tied together by 38 bridging markers. Linkage group lengths varied from 98 to 187 cM, with an average distance between markers of 5.5 cM. All but two mapped SSR markers had homologies to physically mapped rice (Oryza sativa L.) genes, and six of the seven orchardgrass linkage groups were assigned based on this putative synteny with rice. Quantitative trait loci were detected for heading date on linkage groups 2, 5, and 6 in both parental maps, explaining between 12% and 24% of the variation.


Genetics ◽  
2008 ◽  
Vol 178 (1) ◽  
pp. 489-511 ◽  
Author(s):  
Marco Maccaferri ◽  
Maria Corinna Sanguineti ◽  
Simona Corneti ◽  
José Luis Araus Ortega ◽  
Moncef Ben Salem ◽  
...  

2011 ◽  
Vol 91 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Shanoor Hossain ◽  
Joe Panozzo ◽  
Chris Pittock ◽  
Rebecca Ford

Hossain, S., Panozzo, J. F., Pittock, C. and Ford, R. 2011. Quantitative trait loci analysis of seed coat color components for selective breeding in chickpea (Cicer arietinumL.). Can. J. Plant Sci. 91: 49–55. Chickpea (Cicer arietinum L.) is an annual grain legume, grown worldwide for human consumption with the potential to attract premium prices in markets such as India, Bangladesh and southern Asia. The ability to accurately select for seed coat color, an important export quality trait, would greatly benefit chickpea breeding programs. In order to determine the major genomic loci governing the color trait, the color components of CIE L* (luminance), CIE a* (red/green color) and CIE b* (blue/yellow color), C* (chroma or saturation of the color) and h° (hue or purity of the color) were mapped, and associated molecular markers were identified. A linkage map was constructed with 80 SSR markers distributed over 10 linkage groups at an average marker density of 2.8 cM. Two major quantitative trait loci (QTL), which accounted for up to 36 and 49% of the genetic variance and several smaller genetic effects were determined to govern the color components. These were consistent across two differing environments. Once validated, the markers that are close to and flanking these QTL and significantly associated with the minor gene effects will be useful in future color selective breeding programs.


2002 ◽  
Vol 2 (3) ◽  
pp. 151-157 ◽  
Author(s):  
Youngkoo Cho ◽  
Victor N. Njiti ◽  
Xinbo Chen ◽  
Kanokporn Triwatayakorn ◽  
My Abdelmajid Kassem ◽  
...  

The objective of this study was to utilize aGlycine maxRIL population to (1) evaluate foliar trigonelline (TRG) content in field-grown soybean, (2) determine the heritability of TRG accumulation, and (3) identify DNA markers linked to quantitative trait loci (QTLs) conditioning variation in TRG accumulation. Frequency distributions of 70 recombinant inbred lines showed statistically no significant departure from normality(P>.05)for TRG accumulation measured at pod development stage (R4). Six different molecular linkage groups (LGs) (B2, C2, D2, G, J, and K) were identified to be linked to QTLs for foliar TRG accumulation. Two unique microsatellite markers (SSR) on two different linkage groups identified QTL significantly associated with foliar TRG accumulation: a region on LG J (Satt285)(P=.0019, R2=15.9%)and a second region on LG C2 (Satt079)(P=.0029, R2=13.4%).


1996 ◽  
Vol 93 (1-2) ◽  
pp. 205-214 ◽  
Author(s):  
D. Crouzillat ◽  
E. Lerceteau ◽  
V. Petiard ◽  
J. Morera ◽  
H. Rodriguez ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document