Literature DB >> 32753383

The whale shark genome reveals how genomic and physiological properties scale with body size.

Jessica A Weber1, Seung Gu Park2,3, Victor Luria4, Sungwon Jeon2,3, Hak-Min Kim2,3, Yeonsu Jeon2,3, Youngjune Bhak2,3, Je Hun Jun5, Sang Wha Kim6,7, Won Hee Hong8, Semin Lee2,3, Yun Sung Cho5, Amir Karger9, John W Cain10, Andrea Manica11, Soonok Kim12, Jae-Hoon Kim13, Jeremy S Edwards14, Jong Bhak15,3,5, George M Church16.   

Abstract

The endangered whale shark (Rhincodon typus) is the largest fish on Earth and a long-lived member of the ancient Elasmobranchii clade. To characterize the relationship between genome features and biological traits, we sequenced and assembled the genome of the whale shark and compared its genomic and physiological features to those of 83 animals and yeast. We examined the scaling relationships between body size, temperature, metabolic rates, and genomic features and found both general correlations across the animal kingdom and features specific to the whale shark genome. Among animals, increased lifespan is positively correlated to body size and metabolic rate. Several genomic traits also significantly correlated with body size, including intron and gene length. Our large-scale comparative genomic analysis uncovered general features of metazoan genome architecture: Guanine and cytosine (GC) content and codon adaptation index are negatively correlated, and neural connectivity genes are longer than average genes in most genomes. Focusing on the whale shark genome, we identified multiple features that significantly correlate with lifespan. Among these were very long gene length, due to introns being highly enriched in repetitive elements such as CR1-like long interspersed nuclear elements, and considerably longer neural genes of several types, including connectivity, activity, and neurodegeneration genes. The whale shark genome also has the second slowest evolutionary rate observed in vertebrates to date. Our comparative genomics approach uncovered multiple genetic features associated with body size, metabolic rate, and lifespan and showed that the whale shark is a promising model for studies of neural architecture and lifespan.

Entities:  

Keywords:  body size; lifespan; metabolic rate; neural genes; whale shark

Mesh:

Year:  2020        PMID: 32753383      PMCID: PMC7456109          DOI: 10.1073/pnas.1922576117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  54 in total

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Authors:  Tomislav Domazet-Loso; Josip Brajković; Diethard Tautz
Journal:  Trends Genet       Date:  2007-11       Impact factor: 11.639

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Authors:  J L Oliver; A Marín
Journal:  J Mol Evol       Date:  1996-09       Impact factor: 2.395

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Authors:  G B West; J H Brown; B J Enquist
Journal:  Science       Date:  1997-04-04       Impact factor: 47.728

5.  BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

Authors:  Felipe A Simão; Robert M Waterhouse; Panagiotis Ioannidis; Evgenia V Kriventseva; Evgeny M Zdobnov
Journal:  Bioinformatics       Date:  2015-06-09       Impact factor: 6.937

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Journal:  Nature       Date:  1969-10-11       Impact factor: 49.962

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Authors:  J G Colman
Journal:  J Fish Biol       Date:  1997-12       Impact factor: 2.051

8.  Cross-species analysis of genic GC3 content and DNA methylation patterns.

Authors:  Tatiana Tatarinova; Eran Elhaik; Matteo Pellegrini
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

9.  RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

10.  Disruption of DNA-methylation-dependent long gene repression in Rett syndrome.

Authors:  Harrison W Gabel; Benyam Kinde; Hume Stroud; Caitlin S Gilbert; David A Harmin; Nathaniel R Kastan; Martin Hemberg; Daniel H Ebert; Michael E Greenberg
Journal:  Nature       Date:  2015-03-11       Impact factor: 49.962

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  6 in total

Review 1.  A method for making alignments of related protein sequences that share very little similarity; shark interleukin 2 as an example.

Authors:  Johannes M Dijkstra
Journal:  Immunogenetics       Date:  2021-01-29       Impact factor: 2.846

2.  A bird-like genome from a frog: Mechanisms of genome size reduction in the ornate burrowing frog, Platyplectrum ornatum.

Authors:  Sangeet Lamichhaney; Renee Catullo; J Scott Keogh; Simon Clulow; Scott V Edwards; Tariq Ezaz
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

3.  Increased risk of cancer in dogs and humans: a consequence of recent extension of lifespan beyond evolutionarily-determined limitations?

Authors:  Aaron L Sarver; Kelly M Makielski; Taylor A DePauw; Ashley J Schulte; Jaime F Modiano
Journal:  Aging Cancer       Date:  2022-02-23

4.  Genome of a giant isopod, Bathynomus jamesi, provides insights into body size evolution and adaptation to deep-sea environment.

Authors:  Jianbo Yuan; Xiaojun Zhang; Qi Kou; Yamin Sun; Chengzhang Liu; Shihao Li; Yang Yu; Chengsong Zhang; Songjun Jin; Jianhai Xiang; Xinzheng Li; Fuhua Li
Journal:  BMC Biol       Date:  2022-05-13       Impact factor: 7.364

5.  Giant Mesozoic coelacanths (Osteichthyes, Actinistia) reveal high body size disparity decoupled from taxic diversity.

Authors:  Lionel Cavin; André Piuz; Christophe Ferrante; Guillaume Guinot
Journal:  Sci Rep       Date:  2021-06-03       Impact factor: 4.379

6.  Pieces in a global puzzle: Population genetics at two whale shark aggregations in the western Indian Ocean.

Authors:  Royale S Hardenstine; Song He; Jesse E M Cochran; Camrin D Braun; Edgar Fernando Cagua; Simon J Pierce; Clare E M Prebble; Christoph A Rohner; Pablo Saenz-Angudelo; Tane H Sinclair-Taylor; Gregory B Skomal; Simon R Thorrold; Alexandra M Watts; Casey J Zakroff; Michael L Berumen
Journal:  Ecol Evol       Date:  2022-01-25       Impact factor: 2.912

  6 in total

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