Biased heteroplasmy within the mitogenomic sequences of Gigantometra gigas revealed by sanger and high-throughput methods

Xiaoya Sun, Yanhui Wang, Pingping Chen, Hesheng Wang, Lixiang Lu, Zhen Ye, Yanzhuo Wu, Teng Li, Wenjun Bu, Qiang Xie

Zoological Systematics ›› 2018, Vol. 43 ›› Issue (4) : 356-386.

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Zoological Systematics ›› 2018, Vol. 43 ›› Issue (4) : 356-386. DOI: 10.11865/zs.201833
Original Paper

Biased heteroplasmy within the mitogenomic sequences of Gigantometra gigas revealed by sanger and high-throughput methods

  • Xiaoya Sun1 ?, Yanhui Wang2, 3 ?, Pingping Chen4, Hesheng Wang5, Lixiang Lu6, Zhen Ye1, Yanzhuo Wu1, Teng Li7, Wenjun Bu1, Qiang Xie2, 3
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Abstract

Few studies have explored the differences between Sanger and HTS methods in the results of mitogenome sequencing. We used a single individual of insect to study the differences between the sequences given by Sanger and PCR-free HTS methods. Here we provided evidence for biased results of sequencing due to different methods in the mitochondrial genes of atp6, atp8, cox1, cox2, cox3, Cytb, nad2, nad3, nad4, nad5, rrnS, rrnL, trnH, trnI, and control region at various degrees. Especially, in cox1, the differently sequenced nucleotides account for 2.6% of the complete length. Furthermore, the highest value of the intraspecific genetic distance based on K2P accounts for 2.5% using a barcode fragment size of cox1 (651 bp, Sanger), while the maximum distance of the corresponding cox1 fragment obtained by the two sequencing methods was 5.0%. We revealed that the methods of Sanger and HTS may give different sequencing results of mitochondrial genes, which may reflect the heteroplasmy of mitogenomes within an insect individual. Therefore, researchers should be very cautious in using the mixed data of a gene given by different methods of sequencing.

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Xiaoya Sun, Yanhui Wang, Pingping Chen, Hesheng Wang, Lixiang Lu, Zhen Ye, Yanzhuo Wu, Teng Li, Wenjun Bu, Qiang Xie. Biased heteroplasmy within the mitogenomic sequences of Gigantometra gigas revealed by sanger and high-throughput methods[J]. Zoological Systematics. 2018, 43(4): 356-386 https://doi.org/10.11865/zs.201833

Funding

This project was supported by the National Natural Science Foundation of China (31222051).
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