Literature DB >> 25645816

Comparative analysis of genome maintenance genes in naked mole rat, mouse, and human.

Sheila L MacRae1, Quanwei Zhang, Christophe Lemetre, Inge Seim, Robert B Calder, Jan Hoeijmakers, Yousin Suh, Vadim N Gladyshev, Andrei Seluanov, Vera Gorbunova, Jan Vijg, Zhengdong D Zhang.   

Abstract

Genome maintenance (GM) is an essential defense system against aging and cancer, as both are characterized by increased genome instability. Here, we compared the copy number variation and mutation rate of 518 GM-associated genes in the naked mole rat (NMR), mouse, and human genomes. GM genes appeared to be strongly conserved, with copy number variation in only four genes. Interestingly, we found NMR to have a higher copy number of CEBPG, a regulator of DNA repair, and TINF2, a protector of telomere integrity. NMR, as well as human, was also found to have a lower rate of germline nucleotide substitution than the mouse. Together, the data suggest that the long-lived NMR, as well as human, has more robust GM than mouse and identifies new targets for the analysis of the exceptional longevity of the NMR.
© 2015 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd.

Entities:  

Keywords:  aging; gene duplication; genome maintenance; longevity; mutation rate

Mesh:

Year:  2015        PMID: 25645816      PMCID: PMC4364841          DOI: 10.1111/acel.12314

Source DB:  PubMed          Journal:  Aging Cell        ISSN: 1474-9718            Impact factor:   9.304


Introduction, results, discussion

DNA can be damaged by a myriad of exogenous and endogenous genotoxic agents, making GM an essential defense system. GM is complex, requiring multiple, coordinated cellular activities, including DNA repair, cellular senescence, and apoptosis. These processes occasionally fail, leading to alterations in the somatic genome, which has been recognized as a feature of both aging and cancer (Hoeijmakers, 2009; Hanahan & Weinberg, 2011; Vijg & Suh, 2013). While there is evidence for increased DNA repair activities in cells from longer-lived species (Hart & Setlow, 1974), and GM genes have been associated with the evolution of longevity (Jobson et al., 2010; Li & de Magalhaes, 2013), a systematic analysis of GM genes in species with greatly different lifespans is thus far lacking. Here, we present an analysis of GM genes in the NMR, an exceptionally long-lived rodent species in which no cases of cancer have been observed, vis-à-vis human and mouse, two species with starkly different lifespans, but a higher cancer risk at the end of life. The NMR is the longest lived rodent known, with a maximum lifespan of 32 years—almost ten times longer than the mouse (Gorbunova, 2007). For at least 80% of their lives, NMRs show little signs of senescence, no age-related increase in mortality, and high fecundity (Buffenstein, 2008). In addition to such attenuated aging phenotypes, the NMR is also unusual for its pronounced cancer resistance (Liang et al., 2010), which, in part, has been explained by high molecular mass hyaluronan (Tian et al., 2013). We hypothesized that genetic differences in GM could explain the NMR's exceptional longevity and part of its cancer resistance. Hence, we performed a comparative analysis of GM genes in the NMR, mouse, and human genomes. First, we compiled a list of GM genes, incorporating published gene lists (Ronen & Glickman, 2001; Han et al., 2013). The genes in our list are involved in a wide range of pathways and processes related to GM, from DNA repair to cell cycle regulation and cell death. Relatively well-annotated genome assemblies of human and mouse are available. For NMR, we used our published NMR genome assembly (Kim et al., 2011), as well as assemblies developed by several other groups (Table S2). As each genome assembly is independent, they complement one another—copy number variations can be validated and sequence gaps filled. We identified GM genes in the three species through genome mapping, refined local sequence alignment, and extensive manual checking (see Appendix S1). While we found evidence of gene expansion and many putative pseudogenes, there were only two genes, CCAAT/enhancer binding protein-γ (CEBPG), and TERF1-interacting nuclear factor 2 (TINF2), with higher copy number in the NMR (Table1, Fig. S4). CEBPG has been identified as a regulator of DNA repair (Crawford et al., 2007) and cellular senescence (Huggins et al., 2013). Hence, an increased copy number of CEBPG may serve to better protect the NMR against cellular stressors. TINF2 stabilizes the shelterin proteins that prevent telomere uncapping and DNA damage signaling (Takai et al., 2011). Expression of two copies of CEBPG and both copies of TINF2 in the NMR was verified with published RNA-seq data (Figs S5 and S6). The human genome contains only one copy of TINF2, but being large animals, humans are protected against cancer by repressing telomerase (Seluanov et al., 2007). One gene, present in the NMR and human genomes, but not in that of the mouse, encodes replication protein A4 (RPA4) (Table1, Fig. S4). RPA4 is a subunit of the replication protein A complex, which is essential for DNA replication, repair, and cell cycle checkpoint activation (Haring et al., 2010). While no orthologous sequences were found in the mouse genome, we identified an ortholog of the human RPA4 sequence in the NMR genome (Fig. S4).
Table 1

Genome maintenance genes with differential copy numbers between human, mouse, and naked mole rat

Gene symbolCopy numbers in
HumanChimpanzeeMouseRatGuinea pigNMR
CEBPG111113
GTF2H2C2*11111
RPA4110001
TINF2111122

NCBI notes in the annotation of the second human copy of this gene that it may be an artifact of the Hg19 human genome assembly and may not actually be a true second copy of the gene (http://www.ncbi.nlm.nih.gov/gene/730394). However, this second copy is still in Ensembl, Refseq, and HGNC.

Guinea pig has one partial copy of the RPA4 gene (Fig. S4).

Genome maintenance genes with differential copy numbers between human, mouse, and naked mole rat NCBI notes in the annotation of the second human copy of this gene that it may be an artifact of the Hg19 human genome assembly and may not actually be a true second copy of the gene (http://www.ncbi.nlm.nih.gov/gene/730394). However, this second copy is still in Ensembl, Refseq, and HGNC. Guinea pig has one partial copy of the RPA4 gene (Fig. S4). While limitations in genome assemblies of most other species essentially constrained complete analysis, we did check the genomes of the guinea pig, chimpanzee, and rat for copy number variation in the four GM genes identified with copy number variation between human, mouse, and NMR. The results show that they each have only one copy of CEBPG, but like NMR, the guinea pig also has two copies of TINF2 (Table1). Guinea pigs also contain a partial sequence of RPA4 in their genome, which was absent not only from the mouse but also from the rat genome (Table1). Finally, the human genome was found to contain an extra copy of general transcription factor IIH, polypeptide 2 (GTF2H2C), which is involved in basal transcription and nucleotide excision repair (Marteijn et al., 2014). However, this second copy may be an artifact of the Hg19 human genome assembly. The main conclusion that can be drawn from these results is that GM genes are highly conserved, also with respect to their copy numbers. If GM is superior in NMR (and human) compared with mouse, then we would expect to find that reflected by their germline mutation rates. We found that the number of nucleotide substitutions per site (K) in GM genes is on average 1.3 times higher between human and mouse than between human and NMR (Fig. 1A and Fig. S1A). Nucleotide substitution rates are known to be higher in rodents than in primates (Britten, 1986). Using chicken as an out-group, our calculation of K in ∽700 randomly selected genes confirmed this (Fig. S3). To investigate how nucleotide substitutions are distributed among different codon sites, we also calculated the nucleotide substitutions per nonsynonymous site (Ka) and per synonymous site (Ks) for human versus mouse and human versus NMR. Our estimated median Ka/Ks ratio between human and mouse orthologous genes is 0.119, in reasonable agreement with previous estimates (0.115) (Mouse Genome Sequencing Consortium et al., 2002). While Ka is essentially the same in mouse and NMR, Ks is higher in mouse than in NMR (P < 2.2 × 10−16, for both GM and random genes), which indicates a lower background evolutionary rate in NMR than in mouse (Fig.1B and Fig. S1B). For neutral nucleotide substitutions, the substitution rate is equal to the mutation rate. As Ks is lower in NMR than in mouse, the mutation rate is, therefore, also lower in NMR. Using human as an out-group, the comparison of Ks among mouse, NMR, and guinea pig—a moderately long-lived rodent (with a 12-year maximum lifespan), shows that the maximum lifespan decreases as Ks (and thus the mutation rate) increases (ordinal logistic regression coefficient = −2.12, P = 2.31 × 10−9, Fig. S2). While species-specific differences in germline mutation rate have been attributed to various factors, varying from generation time to metabolic rate, the most likely explanation remains differences in genome maintenance (Thomas & Hahn, 2014). Moreover, nonsynonymous changes between human and mouse GM genes are slightly more drastic than those between human and NMR (P = 0.03888), while for random genes such a difference was not observed (P = 0.7555).
Figure 1

Evolution of genome maintenance (GM) and random genes in human, mouse, and naked mole rat (NMR). (A) Nucleotide substitutions per site. (B) Nucleotide substitutions per site (K), per nonsynonymous site (Ka), and per synonymous site (Ks). (C) The ratios of K,Ka, and Ks of GM and random genes in NMR to that in mouse. Abbreviations: H, human; M, mouse; and N, NMR.

Evolution of genome maintenance (GM) and random genes in human, mouse, and naked mole rat (NMR). (A) Nucleotide substitutions per site. (B) Nucleotide substitutions per site (K), per nonsynonymous site (Ka), and per synonymous site (Ks). (C) The ratios of K,Ka, and Ks of GM and random genes in NMR to that in mouse. Abbreviations: H, human; M, mouse; and N, NMR. To investigate how a slower mutation rate affects GM genes in NMR, we calculated the ratios of K of GM genes between human and NMR to that between human and mouse, and compared them to those of random genes. The results indicate lower ratios of K for GM genes than for random genes (P = 0.001, Fig.1C). Considering nonsynonymous and synonymous substitutions separately, we show that the aforementioned lower ratios result only from changes in nonsynonymous nucleotide substitutions, as the ratios of Ka are significantly lower (P = 2.248 × 10−6, Fig.1C) for GM genes while the ratios of Ks are essentially the same between GM genes and random genes (P = 0.2097, Fig.1C). This result indicates that GM genes evolved more slowly than random genes (the background) in NMR compared with mouse, and this reduction is due to a greater decrease in nonsynonymous nucleotide substitutions in GM genes than in random genes in NMR (or a greater increase in mouse). This result suggests that GM genes are evolutionarily more stable in NMR than in mouse, which may be required for longevity and/or resistance to cancer in NMR. Pathway analysis shows that the GM genes with the smallest Ka ratios between NMR and human are enriched in the ubiquitin-mediated proteolysis pathway (P = 6.2 × 10−15), consistent with the notion that this pathway is extremely well conserved. Our study is the first step in a comparative genomics approach to study GM in relation to aging and cancer. Focusing on human, mouse, and NMR because of their contrasting aging phenotypes and the availability of high-quality genome sequences, we investigated copy number differences of GM genes and discovered that very few GM genes have been lost among these three species during evolution. While we can only speculate whether the two genes with additional copies in the NMR, CEBPG and TINF2, confer a significant advantage, for example, through an increase in gene dosage, it is possible for a subtle difference at the genomic level to have a large phenotypic effect, such as increased lifespan. The finding that the NMR has a slower nucleotide substitution rate is interesting, particularly in the context of their longevity, and suggests that GM in NMR is superior to GM in the mouse. As more genomes become sequenced and annotated to higher quality, these findings can be validated further, elucidating the role of genome maintenance in modulating lifespan. Our findings in this comparative analysis of GM in human, mouse, and NMR suggest that NMR has more robust GM than mouse, which could play a role in the former's extreme longevity.
  22 in total

1.  Initial sequencing and comparative analysis of the mouse genome.

Authors:  Robert H Waterston; Kerstin Lindblad-Toh; Ewan Birney; Jane Rogers; Josep F Abril; Pankaj Agarwal; Richa Agarwala; Rachel Ainscough; Marina Alexandersson; Peter An; Stylianos E Antonarakis; John Attwood; Robert Baertsch; Jonathon Bailey; Karen Barlow; Stephan Beck; Eric Berry; Bruce Birren; Toby Bloom; Peer Bork; Marc Botcherby; Nicolas Bray; Michael R Brent; Daniel G Brown; Stephen D Brown; Carol Bult; John Burton; Jonathan Butler; Robert D Campbell; Piero Carninci; Simon Cawley; Francesca Chiaromonte; Asif T Chinwalla; Deanna M Church; Michele Clamp; Christopher Clee; Francis S Collins; Lisa L Cook; Richard R Copley; Alan Coulson; Olivier Couronne; James Cuff; Val Curwen; Tim Cutts; Mark Daly; Robert David; Joy Davies; Kimberly D Delehaunty; Justin Deri; Emmanouil T Dermitzakis; Colin Dewey; Nicholas J Dickens; Mark Diekhans; Sheila Dodge; Inna Dubchak; Diane M Dunn; Sean R Eddy; Laura Elnitski; Richard D Emes; Pallavi Eswara; Eduardo Eyras; Adam Felsenfeld; Ginger A Fewell; Paul Flicek; Karen Foley; Wayne N Frankel; Lucinda A Fulton; Robert S Fulton; Terrence S Furey; Diane Gage; Richard A Gibbs; Gustavo Glusman; Sante Gnerre; Nick Goldman; Leo Goodstadt; Darren Grafham; Tina A Graves; Eric D Green; Simon Gregory; Roderic Guigó; Mark Guyer; Ross C Hardison; David Haussler; Yoshihide Hayashizaki; LaDeana W Hillier; Angela Hinrichs; Wratko Hlavina; Timothy Holzer; Fan Hsu; Axin Hua; Tim Hubbard; Adrienne Hunt; Ian Jackson; David B Jaffe; L Steven Johnson; Matthew Jones; Thomas A Jones; Ann Joy; Michael Kamal; Elinor K Karlsson; Donna Karolchik; Arkadiusz Kasprzyk; Jun Kawai; Evan Keibler; Cristyn Kells; W James Kent; Andrew Kirby; Diana L Kolbe; Ian Korf; Raju S Kucherlapati; Edward J Kulbokas; David Kulp; Tom Landers; J P Leger; Steven Leonard; Ivica Letunic; Rosie Levine; Jia Li; Ming Li; Christine Lloyd; Susan Lucas; Bin Ma; Donna R Maglott; Elaine R Mardis; Lucy Matthews; Evan Mauceli; John H Mayer; Megan McCarthy; W Richard McCombie; Stuart McLaren; Kirsten McLay; John D McPherson; Jim Meldrim; Beverley Meredith; Jill P Mesirov; Webb Miller; Tracie L Miner; Emmanuel Mongin; Kate T Montgomery; Michael Morgan; Richard Mott; James C Mullikin; Donna M Muzny; William E Nash; Joanne O Nelson; Michael N Nhan; Robert Nicol; Zemin Ning; Chad Nusbaum; Michael J O'Connor; Yasushi Okazaki; Karen Oliver; Emma Overton-Larty; Lior Pachter; Genís Parra; Kymberlie H Pepin; Jane Peterson; Pavel Pevzner; Robert Plumb; Craig S Pohl; Alex Poliakov; Tracy C Ponce; Chris P Ponting; Simon Potter; Michael Quail; Alexandre Reymond; Bruce A Roe; Krishna M Roskin; Edward M Rubin; Alistair G Rust; Ralph Santos; Victor Sapojnikov; Brian Schultz; Jörg Schultz; Matthias S Schwartz; Scott Schwartz; Carol Scott; Steven Seaman; Steve Searle; Ted Sharpe; Andrew Sheridan; Ratna Shownkeen; Sarah Sims; Jonathan B Singer; Guy Slater; Arian Smit; Douglas R Smith; Brian Spencer; Arne Stabenau; Nicole Stange-Thomann; Charles Sugnet; Mikita Suyama; Glenn Tesler; Johanna Thompson; David Torrents; Evanne Trevaskis; John Tromp; Catherine Ucla; Abel Ureta-Vidal; Jade P Vinson; Andrew C Von Niederhausern; Claire M Wade; Melanie Wall; Ryan J Weber; Robert B Weiss; Michael C Wendl; Anthony P West; Kris Wetterstrand; Raymond Wheeler; Simon Whelan; Jamey Wierzbowski; David Willey; Sophie Williams; Richard K Wilson; Eitan Winter; Kim C Worley; Dudley Wyman; Shan Yang; Shiaw-Pyng Yang; Evgeny M Zdobnov; Michael C Zody; Eric S Lander
Journal:  Nature       Date:  2002-12-05       Impact factor: 49.962

2.  Telomerase activity coevolves with body mass not lifespan.

Authors:  Andrei Seluanov; Zhuoxun Chen; Christopher Hine; Tais H C Sasahara; Antonio A C M Ribeiro; Kenneth C Catania; Daven C Presgraves; Vera Gorbunova
Journal:  Aging Cell       Date:  2006-12-14       Impact factor: 9.304

Review 3.  DNA damage, aging, and cancer.

Authors:  Jan H J Hoeijmakers
Journal:  N Engl J Med       Date:  2009-10-08       Impact factor: 91.245

4.  Rates of DNA sequence evolution differ between taxonomic groups.

Authors:  R J Britten
Journal:  Science       Date:  1986-03-21       Impact factor: 47.728

Review 5.  Human DNA repair genes.

Authors:  A Ronen; B W Glickman
Journal:  Environ Mol Mutagen       Date:  2001       Impact factor: 3.216

6.  An evolutionary genome scan for longevity-related natural selection in mammals.

Authors:  Richard W Jobson; Benoit Nabholz; Nicolas Galtier
Journal:  Mol Biol Evol       Date:  2009-12-02       Impact factor: 16.240

7.  Correlation between deoxyribonucleic acid excision-repair and life-span in a number of mammalian species.

Authors:  R W Hart; R B Setlow
Journal:  Proc Natl Acad Sci U S A       Date:  1974-06       Impact factor: 11.205

8.  CEBPG regulates ERCC5/XPG expression in human bronchial epithelial cells and this regulation is modified by E2F1/YY1 interactions.

Authors:  E L Crawford; T Blomquist; D N Mullins; Y Yoon; D R Hernandez; M Al-Bagdhadi; J Ruiz; J Hammersley; J C Willey
Journal:  Carcinogenesis       Date:  2007-09-24       Impact factor: 4.944

Review 9.  Negligible senescence in the longest living rodent, the naked mole-rat: insights from a successfully aging species.

Authors:  Rochelle Buffenstein
Journal:  J Comp Physiol B       Date:  2008-01-08       Impact factor: 2.200

10.  A naturally occurring human RPA subunit homolog does not support DNA replication or cell-cycle progression.

Authors:  Stuart J Haring; Troy D Humphreys; Marc S Wold
Journal:  Nucleic Acids Res       Date:  2009-11-26       Impact factor: 16.971

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Journal:  Cell Death Differ       Date:  2019-01-08       Impact factor: 15.828

Review 2.  Mechanisms of cancer resistance in long-lived mammals.

Authors:  Andrei Seluanov; Vadim N Gladyshev; Jan Vijg; Vera Gorbunova
Journal:  Nat Rev Cancer       Date:  2018-07       Impact factor: 60.716

Review 3.  Growth Hormone Deficiency: Health and Longevity.

Authors:  Manuel H Aguiar-Oliveira; Andrzej Bartke
Journal:  Endocr Rev       Date:  2019-04-01       Impact factor: 19.871

4.  Dissecting the expression landscape of mitochondrial genes in lung squamous cell carcinoma and lung adenocarcinoma.

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Review 5.  Proteomics of Long-Lived Mammals.

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Journal:  Proteomics       Date:  2020-01-09       Impact factor: 3.984

Review 6.  Molecular Mechanisms Determining Lifespan in Short- and Long-Lived Species.

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Journal:  Trends Endocrinol Metab       Date:  2017-09-07       Impact factor: 12.015

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Review 8.  Beyond tradition and convention: benefits of non-traditional model organisms in cancer research.

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Journal:  Cancer Metastasis Rev       Date:  2020-10-28       Impact factor: 9.264

Review 9.  The use of non-traditional models in the study of cancer resistance-the case of the naked mole rat.

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Journal:  Oncogene       Date:  2020-06-13       Impact factor: 9.867

10.  C/EBPγ Is a Critical Regulator of Cellular Stress Response Networks through Heterodimerization with ATF4.

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Journal:  Mol Cell Biol       Date:  2015-12-14       Impact factor: 4.272

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