Eight single nucleotide polymorphisms and their association with food habit domestication traits and growth traits in largemouth bass fry (Micropterus salmoides) based on PCR-RFLP method

Jiao Cui; Zhou Jiang; Zerui Wang; Jiaqi Shao; Chuanju Dong; Lei Wang; Xuejun Li; Jinxing Du; Shengjie Li; Zhigang Qiao; Meng Zhang

doi:10.7717/peerj.14588

Eight single nucleotide polymorphisms and their association with food habit domestication traits and growth traits in largemouth bass fry (Micropterus salmoides) based on PCR-RFLP method

PeerJ. 2023 Jan 9:11:e14588. doi: 10.7717/peerj.14588. eCollection 2023.

Authors

Jiao Cui¹, Zhou Jiang¹, Zerui Wang¹, Jiaqi Shao^{1

2}, Chuanju Dong¹, Lei Wang^{1

3}, Xuejun Li^{1

3}, Jinxing Du², Shengjie Li^{1

2}, Zhigang Qiao^{1

3}, Meng Zhang^{1

3}

Affiliations

¹ College of Fisheries, Henan Normal University, Xinxiang, China.
² Pearl River Fisheries Research Institute, Chinese Academy of Fisheries Sciences, Key Laboratory of Tropical and Subtropical Fishery Resource Application and Cultivation, China Ministry of Agriculture, Guangzhou, China.
³ Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Xinxiang, China.

Abstract

Background: The largemouth bass (Micropterus salmoides), an economically important freshwater fish species widely farmed in China, is traditionally cultured using a diet of forage fish. However, given the global decline in forage fish fisheries and increasing rates of waterbody pollution and disease outbreaks during traditional culturing, there is a growing trend of replacing forage fish with formulated feed in the largemouth bass breeding industry. The specific molecular mechanisms associated with such dietary transition in this fish are, nevertheless, poorly understood.

Methods: To identify single nucleotide polymorphisms (SNPs) related to food habit domestication traits and growth traits in largemouth bass fry, we initially genotyped fry using eight candidate SNPs based on polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method, with genetic parameters being determined using Popgen32 and Cervus 3.0. Subsequently, we assessed the associations between food habit domestication traits of largemouth bass fry and these SNPs using the Chi-square test or Fisher's exact test. Furthermore, we used a general linear model to assess the relationships between the growth traits of largemouth bass fry and these SNPs. The Pearson correlation coefficient between growth traits and the SNPs was also determined using bivariate correlation analysis in IBM SPSS Statistics 22. Finally, the phenotypic variation explained (PVE) by the SNPs was calculated by regression analysis in Microsoft Excel.

Results: The genotyping results obtained based on PCR-RFLP analysis were consistent with those of direct sequencing. Five SNPs (SNP01, SNP02, SNP04, SNP05, and SNP06) were found to be significantly correlated with the food habit domestication traits of fry (P < 0.05); SNP01 (P = 0.0011) and SNP04 (P = 0.0055) particularly, had showed highly significant associations. With respect to growth traits, we detected significant correlations with the two SNPs (SNP01 and SNP07) (P < 0.05), with SNP01 being significantly correlated with body length, and height (P < 0.05), and SNP07 being significantly correlated with body height only (P < 0.05).

Conclusions: Our findings indicated that the PCR-RFLP can be used as a low-cost genotyping method to identify SNPs related to food habit domestication and growth traits in largemouth bass, and that these trait-related SNPs might provide a molecular basis for the future breeding of new varieties of largemouth bass.

Keywords: Food habit domestication traits; Growth traits; Micropterus salmoides; Polymerase chain reaction-restriction fragment length polymorphism; Single nucleotide polymorphism.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Bass* / genetics
Domestication
Polymerase Chain Reaction
Polymorphism, Restriction Fragment Length
Polymorphism, Single Nucleotide / genetics

Grants and funding

This work was supported by the National Natural Science Foundation of China (32102776), Ph.D. Foundation of Henan Normal University (qd19067), and the Central Public-interest Scientific Institution Basal Research Fund (CAFS-2021SJ-CG1). This work was also supported by the High Performance Computing Center of Henan Normal University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.