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Genome-Wide QTL Analysis Identified Significant Associations Between Hypoxia Tolerance and Mutations in the GPR132 and ABCG4 Genes in Nile Tilapia

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Abstract

Exposure to hypoxia induces both acute and chronic stress responses, which plays an important role in health of cultured organisms including growth, reproduction, immunity, and other energy demanding activities. Application of advanced genomic technologies allows rapid identification of hypoxia trait-associated genes and precise selection of superior brood stocks with high tolerance in tilapia. By applying QTL-seq and double-digest restriction-site associated DNA sequencing (ddRAD-seq) techniques, we identified four genome-wide significant quantitative trait loci (QTLs) for hypoxia tolerance and many suggestive QTLs in Nile tilapia. These QTLs explained 6.6–14.7% of the phenotypic variance. Further analysis revealed that single nucleotide polymorphisms (SNPs) in exons of both GPR132 and ABCG4 genes located in genome-wide QTL intervals were significantly associated with hypoxia-tolerant traits. Expression analysis of both genes suggested that they were strong candidate genes involved into hypoxia tolerance in tilapia. Our findings suggest that both QTL-seq and ddRAD-seq techniques can be effectively utilized in QTL mapping of hypoxia traits in fish. Our data supply a basis for further marker-assisted selection of super lines with a high level of tolerance against low oxygen stress in the tilapia.

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Acknowledgements

We thank two anonymous reviewers for comments on the manuscript. This work was supported by the National Natural Science Foundation of China (No. 31572612), Natural Science Foundation of Guangdong Province, China (No. 2015A030313150), Special Fund for Marine Fisheries-Scientific Research of Guangdong Province (A201501A04), and Modern Agriculture Talents Support Program (2016-2020).

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JHX and HRL contributed to project conception. Experiment and data analysis was conducted by JHX, HLL, XHG, BJL, and CHC. The manuscript was prepared by JHX and HLL. All authors read and approved the final manuscript.

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Correspondence to Jun Hong Xia.

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All the read data were available at DDBJ database (BioProject Accession: PRJDB5502).

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The authors declare that they have no competing interests.

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Supplementary Table S1

The significant QTL intervals identified by QTL-seq technique. (XLSX 11 kb)

Supplementary Table S2

The primer list used for genotyping and qRT-PCR analysis. (XLSX 9 kb)

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Li, H.L., Gu, X.H., Li, B.J. et al. Genome-Wide QTL Analysis Identified Significant Associations Between Hypoxia Tolerance and Mutations in the GPR132 and ABCG4 Genes in Nile Tilapia. Mar Biotechnol 19, 441–453 (2017). https://doi.org/10.1007/s10126-017-9762-8

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