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Analysis of genetic diversity by the SLAF-seq among the farmed Onychostoma macrolepis populations

BMC Research Notes volume 17, Article number: 173 (2024) Cite this article

Abstract

Objective

The objective of this study was to examine the genetic diversity within and between farmed populations of Onychostoma macrolepis, and to establish a foundation for enhancing the genetic resources of breeding groups through the introduction of new individuals and crossbreeding. A total of 49 individuals were subjected to sequencing using Specific-Locus Amplified Fragment Sequencing (SLAF-seq), one of the restriction site-associated DNA sequencing technologies. The single nucleotide polymorphisms(SNPs)were identified to conduct the analyzation of phylogeny population structure, principal component and genetic diversity.

Results

A total of 853,067 SNPs were identified. The results of the phylogenetic analysis revealed that each sample was genetically clustered into three distinct groups: ZhenPing (ZP), LanGao parents (LG), and their progeny population (LG-F1). Each population was observed to be clustered together. Analysis of population genetic diversity revealed that the observed heterozygosity (Ho) ranged from 0.200 to 0.230, the expected heterozygosity (He) ranged from 0.280 to 0.282, and the polymorphic information content (PIC) ranged from 0.228 to 0.230. These results indicate that the genetic diversity of the population is low and the signs of long-term interbreeding are obvious, but there are differences between the populations, and the genetic diversity of the population can be improved by hybridization in different regions.

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Introduction

Onychostoma macrolepis is a rare freshwater fish species in the Qinba Mountains, also known as money fish. It is a native Chinese omnivorous economic fish belonging to the Cyprinidae family, Barbinae subfamily, and Onychostoma genus [1]. It is mainly distributed in the middle and upper reaches of the Jialing River system and the Hanshui River system in China, coupled with its unique living environment and geographical distribution, known as a “living fossil” in water [2]. In recent years, due to overfishing, environmental pollution, and other reasons, the wild population of O. macrolepis has sharply decreased, and it has been included in the second level of China’s 2021 edition of the National Key Protected Wildlife List (limited to wild populations) [3]. In addition, due to the small scale of the breeding population of O. macrolepis, which is commonly bred within species for multiple generations, it may face the risk of germplasm degradation and genetic diversity, posing an enormous challenge to the healthy development of its breeding industry. Therefore, it is necessary to understand the genetic relationships and diversity information of different breeding populations, providing a reference for interspecies communication and variety optimization.

After years of development, genetic markers have entered an era of rapid development of molecular markers. The application of molecular marker methods can better explore the genetic background and molecular genetic laws of species, and provide technical support and theoretical basis for genetic breeding, strain identification and genetic diversity analysis of animals and plants [4]. Specific-locus amplified fragment sequencing (SLAF-seq) is a simplified genome sequencing technique that uses restriction endonucleases to cut DNA and sequence partial genomes. It has several distinguishing characteristics of deep sequencing to ensure accuracy of gene typing, effectively reduce sequencing costs, and pre-designed simplified representation scheme to optimize marker efficiency [5].

Genetic diversity is not only the material basis for species to adapt to environmental changes and continuous evolution, but also the genetic information basis for maintaining the fecundity of ethnic generations. The future of the ongoing breeding programs depends on the existing genetic diversity in the given population [6]. Thus, it was necessary to assess the extent of genetic diversity to maintain the health of the populations. SLAF-seq technology is widely used in the study of genetic diversity in marine habitat and plant populations [7, 8]. This study focuses on 49 samples of O. macrolepis from different populations. SLAF-seq technology was used to obtain a large number of polymorphic SLAF tags, and then single nucleotide polymorphism (SNP) sites were obtained on their tags, which can understand the genetic diversity of O. macrolepis breeding populations, to provide a theoretical basis for determining whether the breeding population needs to be introduced in a timely manner or interpopulation hybridization.

Material and method

Sample collection and genomic DNA extraction

In November 2022, a total of 49 O. macrolepis samples (Table 1) were collected from the breeding population in ZhenPing County, Shaanxi Province, as well as the parent population and their offspring population in LanGao County. The muscle tissue was extracted and frozen in liquid nitrogen. The genomic DNA of each sample was extracted using cetyltrimethyl annonium bromide (CTAB) protocol [9], and the DNA concentration was detected using Nanodrop. We confirm that all methods were performed in accordance with the Chinese Association for Laboratory Animal Sciences.

Table 1 Sampling information of Onychostoma macrolepis
Full size table

Enzyme digestion library construction

Onychostoma_ Macropolis: GCA_ 012432095.1_ The ASM1243209v1 genome was used as the reference genome for electronic digestion prediction. The principle of selecting the optimal enzyme digestion scheme is to minimize the proportion of restriction fragments located in repeating sequence, as well as the degree of consistency between the length of restriction fragments and the specific experimental system [10]. The final decision was made to use HaeIII + HinCII enzyme digestion, and the genomic DNA of O. macrolepis was digested separately to obtain SLAF tags with a length of approximately 400 bp. Then, the ATP and dual-index sequencing adapter were added at the 3′and 5′end of the digested DNA products, respectively. PCR was performed and the products were purified using E.Z.N.A.H Cycle Pure Kit (Omega). The purified products were mixed and incubated with these two restricted enzymes again. After ligation of ATP, and Solexa adapter in the pair-end, the reaction products were purified using a Quick Spin column (Qiagen, Venlo, Netherlands), and segregated on a 2% agarose gel. These SLAFs were subjected to PCR to add barcode. The PCR products were re-purified and then prepared for paired-end sequencing on an Illumina HiSeq sequencing platform (Illumina, San Diego, CA, USA).

Development of SNP tags

The raw reads were further processed with a bioinformatic pipelinetool, BMKCloud (www.biocloud.net) online platform. Raw data (raw reads) of fastq format were firstly processed through fastp software. In this step, clean data (clean reads) were obtained by removing reads containing adapter, reads containing ploy-N and low quality reads from raw data. At the same time, Q30, GC-content of the clean data were calculated. All the downstream analyses were based on clean data with high quality. The Dual index was used to identify the raw data obtained from sequencing and obtain the reads of each sample. Filter the sequencing reads connector and evaluate the quality to obtain clean reads. Clean reads were compared with the reference genome using BWA mem2 software [11]. The SNP/INDEL calling was performed using GATK (v3.8) [12] and SAMtools packages(v1.9.1) [13]. High consistency SNPs with a minor allele frequency (MAF) > 0.05 and integrity > 0.5 was retained.

Phylogenetic analysis

Based on mutation detection of SNP-labeled data, MEGA X [14] software was used to construct phylogenetic trees for each sample using the Kimura 2-parameter model [15] with neighbor joining [16]. Bootstrap was repeated 1000 times. Using EIGENSOFT (v6.0) [17] software based on SNP data, principal component analysis was performed to obtain the clustering of the samples. Based on highly consistent SNPs, VCFtools (v0.1.15) [18] software was used to calculate various population genetic indicators, such as the polymorphism information content (PIC), average observed heterozygosity (Ho), and average expected heterozygosity (He).

Result

Sequencing data statistics

By performing restriction endonuclease prediction on the reference genome, a combination of HaeIII + HincII restriction endonucleases was selected to perform restriction endonuclease digestion on the genomic DNA of O. macrolepis. Sequences with a length of 314–414 bp were defined as SLAF tags. A total of 451.13 Mb reads were obtained in the experiment, with an average Q30 of 96.12% and an average GC content of 43.51%. Through bioinformatics analysis, a total of 274,172 SLAF tags were obtained from the genomes of O. macrolepis samples. The average sequencing depth of each SLAF tag in each sample was 15.48x, with 181,605 polymorphic SLAF tags. A total of 853,067 SNPs were developed for the O. macrolepis population.

Evolutionary analysis of population systems

Based on mutation detection SNP data, highly consistent SNP loci (452,663) were obtained after filtering to construct phylogenetic trees for each sample (Fig. 1A). The phylogenetic evolutionary tree shows that each sample is genetically clustered into three clusters: ZP, LG, and LG-F1. Almost every population is individually clustered together, with the LG population crossing with its offspring, while the O. macrolepis population of ZP is individually clustered, indicating that its variety is relatively single and that there is almost no hybridization with the LG population.

To further understand the genetic relationships between populations, PCA was performed using highly consistent SNP loci (Fig. 1B). The three-dimensional clustering results showed that (the first, second, and third principal components were PC1, PC2, and PC3, respectively), the ZP population was clustered into a single cluster, and the LG and LG-F1 populations were relatively close.

Fig. 1A
figure 1

Phylogeny of the 49 Onychostoma macrolepis individuals; 1B. Population PCA analysis. LG: LanGao parents population; LG-F1: LanGao progeny population; ZP: ZhenPing population

Full size image

Analysis of population genetic diversity

By calculating parameters such as PIC, Ho, and He to evaluate the genetic diversity of each population, the results obtained based on SNP loci can be seen (Table 2), with Ho ranging from 0.200 to 0.230 and He ranging from 0.280 to 0.282. Among them, the He of the ZP populations is slightly higher than that of LG and LG-F1 populations, and its Ho is also slightly higher. The PIC of all three populations was between 0.228 and 0.230, with little difference between populations, indicating that the breeding population already had a low degree of polymorphism.

Table 2 Statistical values of genetic diversity among different populations of Onychostoma macrolepis
Full size table

Discussion

Genetic diversity analysis is a means to grasp the current situation of the germplasm resources of O. macrolepis. The genetic diversity information of O. macrolepis was evaluated from the SNP variation sites by bioinformatics technology, which has not been previously reported. Traditional molecular markers mainly include ISSR, RAPD, AFLP, etc. The disadvantages of traditional molecular markers include complex operability, low throughput, and low efficiency [19]. Liu [20] screened 15 ISSR primers for ISSR-PCR amplification of the genomic DNA of Ophiocephalus argus in three natural populations, and a total of 141 loci were detected, including 53 polymorphic loci, with a polymorphic rate of 37.59%. Du et al. [21] used RAPD technology to analyze the genetic diversity of Bagarius yarrelli population, and only 66 polymorphic loci were detected. By constructing the SLAF library, SLAF-seq can obtain high-quality SNP mutation site information, which is the most abundant, stable and efficient detection means [22]. Liu et al. [23] used SLAF-seq technology to study the populations of Procambarus clarkii, and obtained more than 350,000 SLAF tags and identified 741,147 SNPs. This experiment obtained a total of 274,172 SLAF tags, and developed 853,067 SNPs from the genomes of O. macrolepis samples. It can be seen that the results of this experiment demonstrate that SLAF-seq technology is superior to traditional molecular markers and is more suitable for marker development.

Regular testing of the genetic diversity of the breeding population can help reduce the risk of germplasm degradation. Compared with other economically cultivated varieties, the genetic diversity of the O. macrolepis is relatively low, mainly due to its inclusion in the national key protected wildlife list, coupled with the small number and scale of breeding populations, making it difficult to introduce [24, 25]. Regular testing of the genetic diversity of the O. macrolepis breeding population is an effective method to address the problem of germplasm degradation faced by its breeding industry [26, 27]. Liu et al. [23] used SLAF-seq to sequence the genomes of 14 populations of Procambarus clarkii in 5 provinces from china, including Hubei, Zhejiang, and Jiangsu. Genetic diversity indicators such as Ho, He, and PIC were obtained. The results showed that the Ho values ranged from 0.217 to 0.280, and He values ranged from 0.342 to 0.359, indicating the genetic diversity within the 14 populations was low and that the variety was single. Tian et al. [28] developed a large number of specific SNPs on polymorphic SLAF tags using SLAF-seq for genetic diversity analysis of different populations of Pinus bungeana. The results showed that the Ho values ranged from 0.353 to 0.424, and He values ranged from 0.358 to 0.391. In this study, the Ho and He values of the three populations were 0.200 to 0.230 and 0.280 to 0.282, respectively. From the Ho and He values of each population, the genetic diversity of the O. macrocephalis is relatively low, and it may face the risk of germplasm degradation. PIC reflects the genetic information capacity provided by SNP loci [29]. Ma [30]. conducted a study on the genetic diversity and phylogenetic relationship of two populations of Schizothorax curvilabiatus based on SLAF-seq technology. The PICs of two populations were 0.2877 and 0.2569, both of which were moderately polymorphic site. In this study, the PIC of the three populations of O. macrolepis were all less than 0.25, indicating that these populations were already had a low degree of polymorphism In addition, the observed heterozygosity of the three populations of O. macrolepis was also lower than the expected heterozygosity. It is speculated that the reason may be due to the long closed farming time, severe inbreeding, and insufficient communication with other breeding sites.

This study focuses on the O. macrolepis from three breeding populations. The cluster analysis results of the population showed that population from the ZP is a separate cluster, and the LG and LG-F1 population slightly intersect. Similar to phylogenetic trees, PCA yielded the same result: that is, the ZP population was clustered separately into one group. This can indicate that the phylogenetic relationships of the O. macrolepis are basically divided according to different geographical locations. In this study, it was found for the first time that there is a certain genetic difference between the LG population and the ZP population, which can be used as a selection for introduction in the future. At the same time, it was also found that the genetic diversity of O. macrolepis farmed populations in two different geographical locations was low, which may be related to long-term inbreeding and insufficient communication with populations in other regions. To ensure the genetic diversity of O. macrolepis in different regions, it is recommended to strengthen communication among populations in different regions, such as the LG and ZP populations with different geographical locations, which should be appropriately hybridized. Regular monitoring of population genetic diversity is necessary, which not only helps to protect the gene pool of O. macrolepis but also provides a timely and accurate grasp of the germplasm status, further promoting the sustainable and healthy development of the O. macrolepis farmed industry.

Limitation

Our results were done with the limited numbers of samples and SNPs, and thus, the estimated statistics are expected to have variation. Terefore, these populations should also be tested using large sample sizes.

Data availability

The SLAF-seq reads have been deposited in the Sequence Read Archive (BioProject ID PRJNA1039559). The archived sequence data will be publicly available after publication.

Abbreviations

SLAF-seq:

Specific-locus amplified fragment sequencing

SNP:

Single nucleotide polymorphisms

Ho:

Observed heterozygosity

He:

Expected heterozygosity

PIC:

Polymorphic information content

References

  1. Chen SW. Study on the biological characteristics of wild onychostoma macrolepis in renhe, ziyang, Shaanxi. Shaanxi J Agricultural Sci. 2019;65(06):63–6.

    Google Scholar 

  2. Gou NN, Wang KF. Research on biology and artificial breeding techniques in largescale shoveljaw fish onychostoma macrolepis. Chin J Fisheries. 2021;34(1):88–93.

    Google Scholar 

  3. Qu GS, Cai ZW, Huang Y, Liu Q, Li ZA, Luo B. Investigation and protection of germplasm resources of varicorhinus macrolepis qinba mountain area. Hubei Agricultural Sci. 2019;58(18):93–7.

    Google Scholar 

  4. Huan J, He Z, Lei Y, Li W, Jiang L, Luo X. The genetic diversity of bletilla spp. Based on SLAF-seq and Oligo-FISH. Genes (Basel). 2022;13(7):1118.

    Article  CAS  PubMed  Google Scholar 

  5. Zhou Y, Pan H. Specific-locus amplified fragment sequencing (SLAF-Seq). Methods Mol Biology. 2023;2638:165–71.

    Article  CAS  Google Scholar 

  6. Hosoya S, Kikuchi K, Nagashima H, Onodera J, Sugimoto K, Satoh K, Matsuzaki K, Yasugi M, Nagano AJ, Kumagayi A, Ueda K, Kurokawa T. Assessment of genetic diversity in coho salmon (Oncorhynchus kisutch) populations with no family records using ddRAD-seq. BMC Res Notes. 2018;11(1):548.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Shen SH, Dai XL. Genetic diversity analysis in wild and selected populations of penaeus vannamei based on SNP markers in growth and stress resistance genes. J South Agric. 2020;51(11):2836–45.

    CAS  Google Scholar 

  8. Li JF, Wang L, Dai DY, Cai Y, Yang LM, Wang C, Sheng YY, Tian LM. Construction of SNP genetic linkage map and QTL mapping of seed traits in melon(cucumis melo) based on SLAF. J Agricultural Biotechnol. 2022;30(04):656–66.

    Google Scholar 

  9. Sambrook J, Fritsch EF, Maniatis T. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, Molecular Cloning, 1989, New York.

  10. Davey JW, Cezard T, Fuentes-Utrilla P. Special features of RAD sequencing data: implications for genotyping. Mol Ecol. 2013;22(11):3151–64.

    Article  CAS  PubMed  Google Scholar 

  11. Li H, Durbin R. Fast and accurate short read alignment with burrows–wheeler transform. Bioinformatics. 2009;25(14):1754–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. McKenna A, Hanna M, Banks E. The genome analysis toolkit: a mapreduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297–303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Li H, Handsaker B, Wysoker A. The sequence alignment/map format and SAMtools. Bioinformatics. 2009;25(16):2078–9.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 2018;35(6):1547–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Srivathsan A, Meier R. On the inappropriate use of Kimura-2-parameter (K2P) divergences in the DNA-barcoding literature. Cladistics. 2012;28(2):190–4.

    Article  PubMed  Google Scholar 

  16. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4(4):406–25.

    CAS  PubMed  Google Scholar 

  17. Price AL, Patterson NJ, Plenge RM. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38(8):904–9.

    Article  CAS  PubMed  Google Scholar 

  18. Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, Handsaker RE, Lunter G, Marth GT, Sherry ST, McVean G, Durbin R. 1000 genomes project analysis group. Variant call Format VCFtools Bioinf. 2011;27(15):2156–8.

    CAS  Google Scholar 

  19. Huang PY, Ma HT, Yu ZN, Zhang YH, Gao HM, Peng JJ. Evaluation of genetic diversity and versatility of wild and cultured populations based on high throughput sequencing of crassostrea sikamea microsatellite markers. J Fisheries China. 2020;44(3):368–77.

    Google Scholar 

  20. Liu F. Genetic diversity analysis of three natural population species of perciformes in henan Province, Thesis for M.S., Henan Normal University, 2015, pp. 26–27.

  21. Du M, Niu BZ, Luo CY, Liu YH. RAPD analysis of genetic diversity in wild populations of bagarius yarrelli. Freshw Fisheries, 2015, (1): 15–9.

  22. Zhang H, Lin P, Liu Y, Huang C, Huang G, Jiang H, Xu L, Zhang M, Deng Z, Zhao X. Development of SLAF-Sequence and multiplex snapshot panels for population genetic diversity analysis and construction of DNA fingerprints for sugarcane. Genes(Basel). 2022;13(8):1477.

    CAS  PubMed  Google Scholar 

  23. Liu YN, Liu J, Wei S, Li YL, Li M, Xiao J, Qiu GF, Lu Y. Analysis of genetic diversity among the farmed procambarus clarkii populations using the SLAF-seq technology. J South Agric. 2021;52(12):3265–73.

    Google Scholar 

  24. Ma H. Genetic analysis of hybrids, Megalobrama amblycephala and ancherythroculter nigrocauda based on SSR and SNP markers, Thesis for M.S., Huazhong Agricultural University, Supervisor: Li Q., 2019, pp. 5–8.

  25. Chen SW. Study on the age and growth of onychostoma macrolepis in qin-ba mountains. Jiangsu Agricultural Sci. 2020;48(8):179–84.

    Google Scholar 

  26. Deng W, Sun J, Chang ZG, Gou NN, Wu WY, Luo XL, Zhou JS. Energy response and fatty acid meta bolism in onychostoma macrolepis exposed to low-temperature stress. J Therm Biol. 2020;94:1–10.

    Article  Google Scholar 

  27. Gou NN, Zhong MZ, Wang KF. Intestinal microbial community of wild and cultured onychostoma macroleis based on 16s rRNA high-throughput sequencing. Acta Agriculturae Boreali-occidentalis Sinica. 2021;30(7):963–70.

    Google Scholar 

  28. Tian Q, Liu SW, Niu SH, Li W. Development of SNP molecular markers of pinus bungeana based on SLAF-seq technology. J Beijing Forestry Univ. 2021;43(8):1–8.

    Google Scholar 

  29. Li GH, Jin FP, Zhou R, Wu XW, Wu JJ, Leng Y, Gao HT, Zhang WK. Genetic diversity analysis of natural population of schizothorax wangchiachii based on SNP markers. Acta Hydrobiol Sin. 2018;42(2):271–6.

    Google Scholar 

  30. Ma HX. Development of SNP markers and population genetics analysis of schizothorax curvilabiatu based on SLAF-seq technology, Thesis for M.S., Huazhong Agricultural University, Supervisor: Zhang J B., 2019, pp. 36.

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Acknowledgements

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Funding

This work was financially supported by the Agriculture and Fisheries Research Council, China.

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Author notes

  1. Yang Yuanhao and Han Bang contributed equally to this work and should be considered co-first authors.

Authors and Affiliations

  1. Fisheries research & Technology Extension Center of Shaanxi, Xi’an, China

    Yuanhao Yang, Bang Han, Sien Wen, Fenggang Li & Hongbao Shen

  2. Yellow River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Xi’an Shaanxi, China

    Yuanhao Yang, Bang Han, Sien Wen, Fenggang Li & Hongbao Shen

Authors
  1. Yuanhao Yang
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Contributions

Y.Y is the experimental designer and executor of this study. H.B, W.S and L.F completed the data analysis and the writing of the first draft of the paper; S.H participated in the experimental design and analysis of experimental results; H.B is the proposer and leader of the project, directing experimental design, paper writing and revision. All authors reviewed the final manuscript.

Corresponding author

Correspondence to Bang Han.

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Ethics approval and consent to participate

Institutional Review Board Statement: The studies were conducted in strict compliance with the Regulations of the Administration of Affairs Concerning Experimental Animals, which were approved by the Institutional Animal Care and Use Committee of Shaanxi Province. This study has also been reviewed and approved by the ethics committee of the Yellow River Fisheries Research Institute (Approval Code: YFRI (EC) 2022-0003; Approval Date: 27 March 2022).

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The authors declare no competing interests.

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Yang, Y., Han, B., Wen, S. et al. Analysis of genetic diversity by the SLAF-seq among the farmed Onychostoma macrolepis populations. BMC Res Notes 17, 173 (2024). https://doi.org/10.1186/s13104-024-06824-6

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BMC Research Notes

ISSN: 1756-0500

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