4.8 Article

Germline de novo mutation rates on exons versus introns in humans

Journal

NATURE COMMUNICATIONS
Volume 11, Issue 1, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41467-020-17162-z

Keywords

-

Funding

  1. la Caixa Foundation [100010434, LCF/BQ/DR19/11740019]
  2. Ministerio de Economia y Competitividad (Spain) [CGL2017-89160P]
  3. AGAUR (Generalitat de Catalunya) [2017SGR-1379]
  4. Spanish Ministry of Science and Innovation
  5. Centro de Excelencia Severo Ochoa
  6. CERCA Programme/Generalitat de Catalunya

Ask authors/readers for more resources

A main assumption of molecular population genetics is that genomic mutation rate does not depend on sequence function. Challenging this assumption, a recent study has found a reduction in the mutation rate in exons compared to introns in somatic cells, ascribed to an enhanced exonic mismatch repair system activity. If this reduction happens also in the germline, it can compromise studies of population genomics, including the detection of selection when using introns as proxies for neutrality. Here we compile and analyze published germline de novo mutation data to test if the exonic mutation rate is also reduced in germ cells. After controlling for sampling bias in datasets with diseased probands and extended nucleotide context dependency, we find no reduction in the mutation rate in exons compared to introns in the germline. Therefore, there is no evidence that enhanced exonic mismatch repair activity determines the mutation rate in germline cells. Evidence that somatic mutation rates in introns exceed those in exons challenges the molecular evolution tenet that mutation rate and sequence function are independent. Here, authors analyze germline de novo mutations and reveal no evidence for mutation rate differences between exons and introns.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biochemistry & Molecular Biology

PopHumanScan: the online catalog of human genome adaptation

Jesus Murga-Moreno, Marta Coronado-Zamora, Alejandra Bodelon, Antonio Barbadilla, Sonia Casillas

NUCLEIC ACIDS RESEARCH (2019)

Article Evolutionary Biology

Adaptation and Conservation throughout the Drosophila melanogaster Life-Cycle

Marta Coronado-Zamora, Irepan Salvador-Martinez, David Castellano, Antonio Barbadilla, Isaac Salazar-Ciudad

GENOME BIOLOGY AND EVOLUTION (2019)

Article Biochemistry & Molecular Biology

iMKT: the integrative McDonald and Kreitman test

Jesus Murga-Moreno, Marta Coronado-Zamora, Sergi Hervas, sonia Casillas, Antonio Barbadilla

NUCLEIC ACIDS RESEARCH (2019)

Article Genetics & Heredity

Identification of cancer driver genes based on nucleotide context

Felix Dietlein, Donate Weghorn, Amaro Taylor-Weiner, Andre Richters, Brendan Reardon, David Liu, Eric S. Lander, Eliezer M. Van Allen, Shamil R. Sunyaev

NATURE GENETICS (2020)

Article Biochemistry & Molecular Biology

Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource

Martin Kapun, Joaquin C. B. Nunez, Maria Bogaerts-Marquez, Jesus Murga-Moreno, Margot Paris, Joseph Outten, Marta Coronado-Zamora, Courtney Tern, Omar Rota-Stabelli, Maria P. Garcia Guerreiro, Sonia Casillas, Dorcas J. Orengo, Eva Puerma, Maaria Kankare, Lino Ometto, Volker Loeschcke, Banu S. Onder, Jessica K. Abbott, Stephen W. Schaeffer, Subhash Rajpurohit, Emily L. Behrman, Mads F. Schou, Thomas J. S. Merritt, Brian P. Lazzaro, Amanda Glaser-Schmitt, Eliza Argyridou, Fabian Staubach, Yun Wang, Eran Tauber, Svitlana Serga, Daniel K. Fabian, Kelly A. Dyer, Christopher W. Wheat, John Parsch, Sonja Grath, Marija Savic Veselinovic, Marina Stamenkovic-Radak, Mihailo Jelic, Antonio J. Buendia-Ruiz, Maria Josefa Gomez-Julian, Maria Luisa Espinosa-Jimenez, Francisco D. Gallardo-Jimenez, Aleksandra Patenkovic, Katarina Eric, Marija Tanaskovic, Anna Ullastres, Lain Guio, Miriam Merenciano, Sara Guirao-Rico, Vivien Horvath, Darren J. Obbard, Elena Pasyukova, Vladimir E. Alatortsev, Cristina P. Vieira, Jorge Vieira, Jorge Roberto Torres, Iryna Kozeretska, Oleksandr M. Maistrenko, Catherine Montchamp-Moreau, Dmitry Mukha, Heather E. Machado, Keric Lamb, Tania Paulo, Leeban Yusuf, Antonio Barbadilla, Dmitri Petrov, Paul Schmidt, Josefa Gonzalez, Thomas Flatt, Alan O. Bergland

Summary: Utilizing a newly developed bioinformatics pipeline, Drosophila melanogaster's Pool-Seq data is mapped to a hologenome to create the largest genomic data repository to date, called DEST, including 271 population samples from over 100 locations worldwide. This dataset can be used to study spatiotemporal genetic patterns and evolutionary dynamics of D. melanogaster populations.

MOLECULAR BIOLOGY AND EVOLUTION (2021)

Article Biochemistry & Molecular Biology

PopHumanVar: an interactive application for the functional characterization and prioritization of adaptive genomic variants in humans

Aina Colomer-Vilaplana, Jesus Murga-Moreno, Aleix Canalda-Baltrons, Clara Inserte, Daniel Soto, Marta Coronado-Zamora, Antonio Barbadilla, Sonia Casillas

Summary: This study introduces PopHumanVar, an interactive online application designed to facilitate the exploration and thorough analysis of candidate genomic regions to identify variants potentially responsible for recent selective sweeps. It integrates functional and population genomics data, providing useful summary reports and gathering information from various databases to accurately estimate selection statistics and known causal variants. PopHumanVar successfully identifies causal variants in frequently reported candidate selection regions, such as EDAR, ACKR1 (DARC), and LCT/MCM6 in different populations.

NUCLEIC ACIDS RESEARCH (2022)

Article Genetics & Heredity

impMKT: the imputed McDonald and Kreitman test, a straightforward correction that significantly increases the evidence of positive selection of the McDonald and Kreitman test at the gene level

Jesus Murga-Moreno, Marta Coronado-Zamora, Sonia Casillas, Antonio Barbadilla

Summary: The McDonald and Kreitman test is a widely used method to detect and quantify natural selection in DNA sequence data. However, it has limitations in underestimating positive selection due to the presence of slightly deleterious variants at low frequencies. This study presents a new approach called the imputed McDonald and Kreitman test (impMKT), which overcomes these limitations and increases the statistical evidence of positive selection at the gene level.

G3-GENES GENOMES GENETICS (2022)

Correction Genetics & Heredity

Molecular Population Genetics (vol 205, pg 1003, 2017)

S. Casillas, A. Barbadilla

GENETICS (2019)

No Data Available