Literature DB >> 33457884

The complete mitochondrial genome of Cervus canadensis (Erxleben, 1777), as a model species of Chronic Wasting Disease (CWD).

Hyo-Jin Kim1, Ji-Yong Hwang1, Kyung-Je Park1, Hoo-Chang Park1, Hae-Eun Kang1, Jongsun Park2,3, Hyun-Joo Sohn1.   

Abstract

Cervus canadensis (Erxleben, 1777) has been used as a model species of Chronic Wasting Disease (CWD). We completed the mitochondrial genome of C. canadensis, susceptible to the CWD. Its length is 16,428 bp, identical to the previous mitochondrial genome of C. canadensis nannodes, and 37 genes (13 protein-coding genes, two rRNAs, and 22 tRNAs) were identified. It may reflect the extreme decrease of tule elk population in 1870s and CWD is not related to genetic elements on mitochondrial genome. Phylogenetic trees show that our mitochondrial genome is clustered with the previously sequenced mitochondrial genome of C. canadensis nannodes .
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  CWD; Cervidae; Cervus canadensis; Chronic wasting disease; mitochondrial genome

Year:  2020        PMID: 33457884      PMCID: PMC7782213          DOI: 10.1080/23802359.2020.1780983

Source DB:  PubMed          Journal:  Mitochondrial DNA B Resour        ISSN: 2380-2359            Impact factor:   0.658


Chronic wasting disease (CWD), a fatal neurological prion disease accompanying abnormal behavior, was recognized in 1967 in captive mule deer (Odocoileus hemionus) and hybrids of mule deer and white tailed deer (Odocoileus hemionus virginianus) in wildlife facilities in Colorado, USA (Williams and Young 1980). Now, it has been identified in North America, Canada, Republic of Korea, Norway, and Finland (Sohn et al. 2002; Kim et al. 2005; Williams 2005; Benestad et al. 2016). To understand the precise molecular-level mechanism of CWD, elks (Cervus canadensis ) were used as a model species. Its genetic background will be useful to undedrstand in various aspects including their maternal lineage. Some of them displayed susceptibility to CWD and some were resistance. Mitogenome of the resistance tule elk was successfully sequenced (doi:10.1080/23802359.2020.1772689), which can be used a reference mitochondrial genome to evaluate their genetic diversity before dissecting molecular mechanisms of this disease using them. Meanwhile, mitochondrial genome of the susceptible tule elk individual to CWD selected to investigate the genes involved sensitivity of the CWD was sequenced to know their genetic diversity. The brain tissue of C. canadensis nannodes collected in Namhae-gun, Gyeongsangnamdo, Korea (Voucher in Animal and Plant Quarantine Agency, Korea; APQA-R-19FC017; 36.125833 N, 128.199515E) was used for extracting DNA with DNeasy Blood & Tissue Kit (QIAGEN, Hilden, Germany). Genome sequencing was performed using HiSeqX at Macrogen Inc. Mitochondrial genome was assembled by Velvet 1.2.10 (Zerbino and Birney 2008) and gap sequences was filled with SOAPGapCloser 1.12 (Zhao et al. 2011). Base pairs on its mitochondrial genome were confirmed using BWA 0.7.17 (Li 2013) and SAMtools 1.9 (Li et al. 2009). Geneious R11 11.0.5 (Biomatters Ltd, Auckland, New Zealand) was used for annotation based on C. canadensis nannodes mitochondrial genome (MT430939; Kim et al. 2020). The mitochondrial genome of C. canadensis (GenBank accession is MT534583) is 16,428 bp and contains 37 genes (13 protein-coding genes, two rRNAs, and 22 tRNAs) and GC ratio is 38.0%. It is identical to the first mitochondrial genome of C. cnadensis nannodes (MT430939; Kim et al. 2020), which is similar to the cases of insect mitochondrial genome of Laodelphax striatellus (one SNP) (Seo et al. 2019) as well as chloroplast genomes of Salix koriyanagi (Park et al. 2019), Populus alba × Populus glandulosa (Park, Kim, Xi, et al. 2019), and Coffea arabica (Park et al. 2020). It indicates that susceptibility of the CWD may not related to mitochondrial genomic elements. In addition, tule elks which are susceptible and resistible to the CWD share with the same material genetic background because of both have the identical mitochondrial genome. Moreover, it can also be one of evidences of bottle effect occurred in 1870s (McCullough et al. 1996). Twenty-two complete mitochondrial genomes of subfamily Cervinae and one outgroup species, Muntiacus vuquangensis, were used for constructing bootstrapped neighbor joining and maximum likelihood trees with MEGA X (Kumar et al. 2018) based on multiple alignment of complete mitochondrial genomes conducted by MAFFT 7.450 (Katoh and Standley 2013). Mitochondrial genomes of C. canadensis and C. canadensis nannodes are clustered together in one clade of both trees (Figure 1).
Figure 1.

Neighbor joining (bootstrap repeat is 10,000) and maximum likelihood (bootstrap repeat is 1,000) phylogenetic trees of 30 complete mitochondrial genomes: Cervus canadensis (MT534583) used in this study, Cervus canadensis nannodes (MT430939), Cervus elaphus alxaicus (KU942399), Cervus elaphus (NC_007704 and KP172593), Cervus elaphus kansuensis (NC_039923), Cervus elaphus songaricus (NC_014703), Cervus elaphus yarkandensis (NC_013840), Cervus elaphus hippelaphus (KT290948), Cervus elaphus macneilli (KX449334), Cervus elaphus (MF872248 and MF872247), Cervus nippon yakushimae (NC_007179), Cervus nippon hortulorum (NC_013834), Cervus nippon hortulorum (HQ191428), Cervus nippon hortulorum (KR868807), Cervus nippon kopschi (JN389444), Dama mesopotamica (NC_024819), Przewalskium albirostris (NC_016707), Rucervus eldi (NC_014701), Rusa unicolor swinhoei (NC_008414), Axis axis (NC_020680), and Muntiacus vuquangensis (NC_016920) as an outgroup. Phylogenetic tree was drawn based on maximum likelihood tree. The numbers above branches indicate bootstrap support values of maximum likelihood and neighbor joining phylogenetic trees, respectively.

Neighbor joining (bootstrap repeat is 10,000) and maximum likelihood (bootstrap repeat is 1,000) phylogenetic trees of 30 complete mitochondrial genomes: Cervus canadensis (MT534583) used in this study, Cervus canadensis nannodes (MT430939), Cervus elaphus alxaicus (KU942399), Cervus elaphus (NC_007704 and KP172593), Cervus elaphus kansuensis (NC_039923), Cervus elaphus songaricus (NC_014703), Cervus elaphus yarkandensis (NC_013840), Cervus elaphus hippelaphus (KT290948), Cervus elaphus macneilli (KX449334), Cervus elaphus (MF872248 and MF872247), Cervus nippon yakushimae (NC_007179), Cervus nippon hortulorum (NC_013834), Cervus nippon hortulorum (HQ191428), Cervus nippon hortulorum (KR868807), Cervus nippon kopschi (JN389444), Dama mesopotamica (NC_024819), Przewalskium albirostris (NC_016707), Rucervus eldi (NC_014701), Rusa unicolor swinhoei (NC_008414), Axis axis (NC_020680), and Muntiacus vuquangensis (NC_016920) as an outgroup. Phylogenetic tree was drawn based on maximum likelihood tree. The numbers above branches indicate bootstrap support values of maximum likelihood and neighbor joining phylogenetic trees, respectively.
  13 in total

1.  A case of chronic wasting disease in an elk imported to Korea from Canada.

Authors:  Hyun-Joo Sohn; Jae-Hoon Kim; Kang-Seuk Choi; Jin-Ju Nah; Yi-Seok Joo; Young-Hwa Jean; Soo-Whan Ahn; Ok-Kyung Kim; Dae-Yong Kim; Aru Balachandran
Journal:  J Vet Med Sci       Date:  2002-09       Impact factor: 1.267

2.  Additional cases of Chronic Wasting Disease in imported deer in Korea.

Authors:  Tae-Yung Kim; Hyun-Joo Shon; Yi-Seok Joo; Un-Kyong Mun; Kyung-Sun Kang; Yong-Soon Lee
Journal:  J Vet Med Sci       Date:  2005-08       Impact factor: 1.267

3.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

4.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Authors:  Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

Review 5.  Chronic wasting disease.

Authors:  E S Williams
Journal:  Vet Pathol       Date:  2005-09       Impact factor: 2.221

6.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

7.  Chronic wasting disease of captive mule deer: a spongiform encephalopathy.

Authors:  E S Williams; S Young
Journal:  J Wildl Dis       Date:  1980-01       Impact factor: 1.535

8.  Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study.

Authors:  Qiong-Yi Zhao; Yi Wang; Yi-Meng Kong; Da Luo; Xuan Li; Pei Hao
Journal:  BMC Bioinformatics       Date:  2011-12-14       Impact factor: 3.169

9.  First case of chronic wasting disease in Europe in a Norwegian free-ranging reindeer.

Authors:  Sylvie L Benestad; Gordon Mitchell; Marion Simmons; Bjørnar Ytrehus; Turid Vikøren
Journal:  Vet Res       Date:  2016-09-15       Impact factor: 3.683

10.  The first complete mitogenome of Cervus canadensis nannodes (Merriam, 1905).

Authors:  Hyo-Jin Kim; Ji-Yong Hwang; Kyung-Je Park; Hoo-Chang Park; Hae-Eun Kang; Jongsun Park; Hyun-Joo Sohn
Journal:  Mitochondrial DNA B Resour       Date:  2020-06-02       Impact factor: 0.658

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