Identification of Growth-related EST-derived Microsatellite Marker in Nile Tilapia (Oreochromis niloticus)

Authors

  • Sk Md SaeefUlHoque CHISHTY Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand
  • Piyapong CHOTIPUNTU Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand
  • Sataporn DIREKBUSARAKOM Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand
  • Suwit WUTHISUTHIMETHAVEE Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand

DOI:

https://doi.org/10.48048/wjst.2020.5629

Keywords:

EST-derived microsatellite marker, Oreochromis niloticus, Polymorphic loci, Allele, Genotype

Abstract

This study aimed at investigating growth-related, EST-derived microsatellite markers in Nile tilapia (O. niloticus). The link between alleles and genotypes of these makers was particularly examined, as well as the growth performances of the samples of offspring produced from the broodstocks of 5 different fishery stations in Thailand. A total of 25 families of offspring were reared to observe the growth performance for a period of 83 days. Fish samples in this study were divided into two categories according to average body weight: fast (+SD) and slow (-SD) growth. Then, the fins of the fish samples were employed to perform DNA analysis. From the fast and slow growth evaluations, 3 families, namely F1, F24 (from Chumphon) and F11 (from Petchaburi), were chosen for the association analysis. A total of 30 fishes with 5 samples from fast and slow growth of each family were utilized. Nineteen EST-derived microsatellite markers were used to genotype 30 DNA samples of the fast and slow growth fishes. Out of 19 loci, 14 loci (i.e., OMO392, OMO051, OMO097, OMO072, OMO327, OMO277, OMO122, OMO193, OMO198, OMO200, OMO335, OMO374, OMO049, and OMO069) were found polymorphic. Another 4 loci (i.e., OMO059, OMO068, OMO315, and OMO337) were observed as monomorphic. Based on the genotype data, there appeared to indicate a strong, significant relationship between allele and growth of the A3 allele of OMO392 locus in the fast growth group. However, no significant genotypes regarding 19 EST-microsatellite were found to be related with growth. This study suggests that the identified allele A3, which has designated the growth hormone related EST-derived microsatellite primer OMO392, can potentially be used to facilitate marker-assisted selection regarding the fast growth of O. niloticus.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Author Biographies

Sk Md SaeefUlHoque CHISHTY, Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand

Sk Md Saeef Ul Hoque Chishty, Master's in Agricultural Science majoring Fisheries Science, School of Agricultural Technology, Walailak University, Thailand.

Piyapong CHOTIPUNTU, Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand

Dr. Piyapong Chotipuntu, Assistant Professor, School of Agricultural Technology, Walailak University, Thailand

Sataporn DIREKBUSARAKOM, Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand

Dr. Sataporn Direkbusarakom, Assistant Professor, School of Agricultural Technology, Walailak University, Thailand

Suwit WUTHISUTHIMETHAVEE, Division of Fisheries Science, School of Agricultural Technology, Walailak University, Nakhon Si Thammarat 80161, Thailand

Dr. Suwit Wuthisuthimethavee, Assistant Professor, School of Agricultural Technology, Walailak University, Thailand.

References

AHMM Kamal and GC Mair. Salinity tolerance in superior genotypes of tilapia, O. niloticus, O. mossambicus and their hybrids. Aquaculture 2005; 247, 189-201.

FAO. Food and agricultural organization: Fisheries statistics. Available at: http://www.fao.org/fishery/statistics, accessed May 2010.

AG Tacon and M Metian. Global overview on the use of fishmeal and fish oil in industrially compounded aquafeeds: Trends and future prospects. Aquaculture 2008; 285, 146-58.

GLH Yue and J Li. Tilapia is the fish for next-generation aquaculture. Int. J. Marine Sci. Ocean Technol. 2016; 3, 11-3.

D Cressey. Aquaculture: Future fish. Nature 2009; 458, 398-400.

KM Fitzsimmons. Global tilapia market updates 2015. World Aquaculture Society, Las Vegas, NV: World Aquaculture Society, 2016.

NH Nguyen. Genetic improvement for important farmed aquaculture species with a reference to carp, tilapia and prawns in Asia: Achievements, lessons and challenges. Fish Fish. 2016; 17, 483-506.

S Uraiwan. Selective breeding and genetic improvement of Nile tilapia. Thai Fish. Gaz. 1988; 41, 575-80.

ML Metzker. Sequencing technologies-the next generation: Nature reviews. Genetics 2010; 11, 31.

AK Sonesson. Genomic selection for aquaculture: Principles and procedures. In Next generation sequencing and whole genome selection in aquaculture, Wiley-Blackwell, Oxford, UK, 2010.

GH Yue. Recent advances of genome mapping and marker-assisted selection in aquaculture. Fish Fish. 2014; 15, 376-96.

AK Sonesson. Possibilities for marker-assisted selection in fish breeding schemes. In: Proceedings of the International Workshop of Marker Assisted Selection. Food and Agriculture Organization of the United Nations, Turin, Italy, 2003.

RM Al-Atiyat, MJ Tabbaa, NM Salameh, KA Tarawneh, L Al-Shmayla and HJ Al-Tamimie. Analysis of genetic variation of fat tailed-sheep in southern region of Jordan. Asian J. Anim. Vet. Adv. 2012; 7, 376-89.

KT Wada. Genetic selection for shell traits in the Japanese pearl oyster. Aquaculture 1986; 57, 171-6.

MV Gupta and BO Acosta. From drawing board to dining table: The success story of the GIFT project. NAGA, World Fish Center Quarterly 2004; 27, 4-14.

MC Saha, MR Mian, I Eujayl, JC Zwonitzer, L Wang and GD May. Tall fescue EST-SSR markers with transferability across several grass species. Theor. Appl. Genet. 2004; 109, 783-91.

L Pannier, RM Hamill, AM Mullen and T Sweeney. Functional genomics approaches to understand the biological pathways underpinning intramuscular fat in beef. CAB Rev. Perspectives Agri. Vet. Sci. Nutr. Nat. Resour. 2010; 5, 1.

SJ O’Brien, JE Womack and LA Lyons. Anchored reference loci for comparative genome mapping in mammals. Nat. Genet. 1993; 3, 103-12.

T Thiel, W Michalek, RK Varshney and A Graner. Exploiting EST databases for the development and characterization of gene-derived SSR-markers in barley (Hordeum vulgare L.). Theor. Appl. Genet. 2003; 106, 411-22.

JR Ellis and JM Burke. EST-SSRs as a resource for population genetic analyses. Heredity 2007; 99, 125-32.

F Liu, FLJ Sun, JH Xia, G Lin, RJ Tu and GH Yue. A microsatellite-based linkage map of salt tolerant tilapia. (O. mossambicus x Oreochromis spp.) and mapping of sex-determining loci. BMC Genom. 2013; 14, 58.

GR Franco, MD Adams, MB Soares, AJ Simpson, JC Venter an SD Pena. Identification of new Schistosomamansoni genes by the EST strategy using a directional cDNA library. Gene 1995; 152, 141-7.

ML Rise, KR von Schalburg, GD Brown, MA Mawer, RH Devlin, N KuipersandP Hunt. Development and application of a salmonid EST database and cDNA microarray: Data mining and interspecific hybridization characteristics. Genom. Res. 2004; 14, 478-90.

S Liu, D Vijayendran and BC Bonning. Next generation sequencing technologies for insect virus discovery. Viruses 2011; 3, 1849-69.

HP Zhu, ZG Liu, MX Lu, FY Gao, XLKe and ZH Huang. Screening and identification of microsatellite markers associated with cold tolerance in Nile tilapia. Genet. Mol. Res. 2015; 14, 10308-14.

H Hagen-Larsen, JK Laerdahl, F Panitz, A Adzhubei and B Høyheim. An EST-based approach for identifying genes expressed in the intestine and gills of pre-smolt Atlantic salmon (Salmo salar). BMC Genom. 2005; 6, 171.

S Wuthisuthimethavee. Master thesis Graduate School, Kasetsart University, Thailand, 1999.

S Dong, J Kong, X Meng, Q Zhang, T Zhang and R Wang. Microsatellite DNA markers associated with resistance to WSSV in Penaeus (Fenneropenaeuschinensis). Aquaculture 2008; 282, 138-41.

X Zheng, YLW Kuang, D Cao and X Sun. Transcriptome-derived EST–SSR markers and their correlations with growth traits in crucian carp. Fish Sci. 2014; 80, 977-84.

F Liu, F Sun, JH Xia, J Li, GH Fu, G Lin, RJ Tu, ZY Wan, D Quek and GH Yuea. A genome scan revealed significant associations of growth traits with a major QTL and GHR2 in tilapia. Sci. Rep. 2014; 4, 7256.

J Pérez-Sánchez and LB Pierre-Yves. Growth hormone axis as marker of nutritional status and growth performance in fish. Aquaculture 1999; 177, 117-28.

L Andersson. Genetic dissection of phenotypic diversity in farm animals. Nat. Rev. Genet. 2001; 2, 130-8.

H Ma, W Jiang, P Liu, N Feng, Q Ma, C Ma, S Li, Y Liu, Z Qiao and L Ma. Identification of transcriptome-derived microsatellite markers and their association with the growth performance of the mud crab (Scylla paramamosain). PloS One 2014; 9, e89134.

AP Pereira, MMD Alencar, HND Oliveira and LCDA Regitano. Association of GH and IGF-1 polymorphisms with growth traits in a synthetic beef cattle breed. Genet. Mol. Biol. 2005; 28, 230-6.

I Sánchez-Ramos, I Cross, J Mácha, G Martínez-Rodríguez, V Krylov and L Rebordinos. Assessment of tools for marker-assisted selection in a marine commercial species: significant association between MSTN-1 gene polymorphism and growth traits. Sci. World J. 2012; 2012, e369802.

A Velan, GHulata, M Ron, T Slosman, A Shirak and A Cnaani. Association between polymorphism in the Prolactin I promoter and growth of tilapia in saline-water. Aquac. Rep. 2015; 1, 5-9.

JT Streelman and TD Kocher. Microsatellite variation associated with prolactin expression and growth of salt-challenged tilapia. Physiol Genom. 2002; 9, 1-4.

CY Li, TY Chiang, YC Chiang, HM Hsu, XJ Ge, CC Huang and KH Hung. Cross-species, amplifiable EST-SSR markers for Amentotaxus species obtained by next-generation sequencing. Molecules 2016; 21, 67.

D Ma, A Ma, Z Huang, G Wang, T Wang, D Xia and B Ma. Transcriptome analysis for identification of genes related to gonad differentiation, growth, immune response and marker discovery in the turbot (Scophthalmusmaximus). PloS One 2016; 11, e0149414.

LA Manzon. The role of prolactin in fish osmoregulation: A review. Gen. Comp. Endocr. 2012; 125, 291-310.

R Fries, R Hanset and M Georges. A deletion in the bovine myostatin gene causes the double-muscled phenotype in cattle. Nat. Genet. 1997; 17, 71.

Downloads

Published

2020-08-01

How to Cite

CHISHTY, S. M. S. ., CHOTIPUNTU, P. ., DIREKBUSARAKOM, S. ., & WUTHISUTHIMETHAVEE, S. . (2020). Identification of Growth-related EST-derived Microsatellite Marker in Nile Tilapia (Oreochromis niloticus). Walailak Journal of Science and Technology (WJST), 17(8), 867–879. https://doi.org/10.48048/wjst.2020.5629

Most read articles by the same author(s)