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Bhushan S, Singh AK, Thakur Y, Baskar R. Persistence of parental age effect on somatic mutation rates across generations in Arabidopsis. BMC PLANT BIOLOGY 2023; 23:152. [PMID: 36944916 PMCID: PMC10031922 DOI: 10.1186/s12870-023-04150-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
In the model plant Arabidopsis thaliana, parental age is known to affect somatic mutation rates in their immediate progeny and here we show that this age dependent effect persists across successive generations. Using a set of detector lines carrying the mutated uidA gene, we examined if a particular parental age maintained across five consecutive generations affected the rates of base substitution (BSR), intrachromosomal recombination (ICR), frameshift mutation (FS), and transposition. The frequency of functional GUS reversions were assessed in seedlings as a function of identical/different parental ages across generations. In the context of a fixed parental age, BSR/ICR rates were unaffected in the first three generations, then dropped significantly in the 4th and increased in most instances in the 5th generation (e.g. BSR (F1 38 = 0.9, F2 38 = 1.14, F3 38 = 1.02, F4 38 = 0.5, F5 38 = 0.76)). On the other hand, with advancing parental ages, BSR/ICR rates remained high in the first two/three generations, with a striking resemblance in the pattern of mutation rates (BSR (F1 38 = 0.9, F1 43 = 0.53, F1 48 = 0.79, F1 53 = 0.83 and F2 38 = 1.14, F2 43 = 0.57, F2 48 = 0.64, F2 53 = 0.94). We adopted a novel approach of identifying and tagging flowers pollinated on a particular day, thereby avoiding biases due to potential emasculation induced stress responses. Our results suggest a time component in counting the number of generations a plant has passed through self-fertilization at a particular age in determining the somatic mutation rates.
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Affiliation(s)
- Shashi Bhushan
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology-Madras, Chennai, 600 036, India
| | - Amit Kumar Singh
- Department of Plant Molecular Biology, University of Delhi South Campus, Benito Juarez Road, New Delhi, 110021, India
- Institut de Biologie Moléculaire des Plantes, UPR2357 CNRS, Université de Strasbourg, 12 rue du Général Zimmer, Strasbourg Cédex, 67084, France
| | - Yogendra Thakur
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology-Madras, Chennai, 600 036, India
| | - Ramamurthy Baskar
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology-Madras, Chennai, 600 036, India.
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Lato DF, Golding GB. The Location of Substitutions and Bacterial Genome Arrangements. Genome Biol Evol 2020; 13:6035136. [PMID: 33320172 PMCID: PMC7851589 DOI: 10.1093/gbe/evaa260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2020] [Indexed: 01/09/2023] Open
Abstract
Increasing evidence supports the notion that different regions of a genome have unique rates of molecular change. This variation is particularly evident in bacterial genomes where previous studies have reported gene expression and essentiality tend to decrease, whereas substitution rates usually increase with increasing distance from the origin of replication. Genomic reorganization such as rearrangements occur frequently in bacteria and allow for the introduction and restructuring of genetic content, creating gradients of molecular traits along genomes. Here, we explore the interplay of these phenomena by mapping substitutions to the genomes of Escherichia coli, Bacillus subtilis, Streptomyces, and Sinorhizobium meliloti, quantifying how many substitutions have occurred at each position in the genome. Preceding work indicates that substitution rate significantly increases with distance from the origin. Using a larger sample size and accounting for genome rearrangements through ancestral reconstruction, our analysis demonstrates that the correlation between the number of substitutions and the distance from the origin of replication is significant but small and inconsistent in direction. Some replicons had a significantly decreasing trend (E. coli and the chromosome of S. meliloti), whereas others showed the opposite significant trend (B. subtilis, Streptomyces, pSymA and pSymB in S. meliloti). dN, dS, and ω were examined across all genes and there was no significant correlation between those values and distance from the origin. This study highlights the impact that genomic rearrangements and location have on molecular trends in some bacteria, illustrating the importance of considering spatial trends in molecular evolutionary analysis. Assuming that molecular trends are exclusively in one direction can be problematic.
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Affiliation(s)
- Daniella F Lato
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
| | - G Brian Golding
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
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Kivisaar M. Mutation and Recombination Rates Vary Across Bacterial Chromosome. Microorganisms 2019; 8:microorganisms8010025. [PMID: 31877811 PMCID: PMC7023495 DOI: 10.3390/microorganisms8010025] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 12/18/2019] [Accepted: 12/19/2019] [Indexed: 12/22/2022] Open
Abstract
Bacteria evolve as a result of mutations and acquisition of foreign DNA by recombination processes. A growing body of evidence suggests that mutation and recombination rates are not constant across the bacterial chromosome. Bacterial chromosomal DNA is organized into a compact nucleoid structure which is established by binding of the nucleoid-associated proteins (NAPs) and other proteins. This review gives an overview of recent findings indicating that the mutagenic and recombination processes in bacteria vary at different chromosomal positions. Involvement of NAPs and other possible mechanisms in these regional differences are discussed. Variations in mutation and recombination rates across the bacterial chromosome may have implications in the evolution of bacteria.
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Affiliation(s)
- Maia Kivisaar
- Chair of Genetics, Institute of Molecular and Cell Biology, University of Tartu, 23 Riia Street, 51010 Tartu, Estonia
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Singh AK, Bashir T, Sailer C, Gurumoorthy V, Ramakrishnan AM, Dhanapal S, Grossniklaus U, Baskar R. Parental age affects somatic mutation rates in the progeny of flowering plants. PLANT PHYSIOLOGY 2015; 168:247-57. [PMID: 25810093 PMCID: PMC4424033 DOI: 10.1104/pp.15.00291] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Accepted: 03/21/2015] [Indexed: 05/18/2023]
Abstract
In humans, it is well known that the parental reproductive age has a strong influence on mutations transmitted to their progeny. Meiotic nondisjunction is known to increase in older mothers, and base substitutions tend to go up with paternal reproductive age. Hence, it is clear that the germinal mutation rates are a function of both maternal and paternal ages in humans. In contrast, it is unknown whether the parental reproductive age has an effect on somatic mutation rates in the progeny, because these are rare and difficult to detect. To address this question, we took advantage of the plant model system Arabidopsis (Arabidopsis thaliana), where mutation detector lines allow for an easy quantitation of somatic mutations, to test the effect of parental age on somatic mutation rates in the progeny. Although we found no significant effect of parental age on base substitutions, we found that frameshift mutations and transposition events increased in the progeny of older parents, an effect that is stronger through the maternal line. In contrast, intrachromosomal recombination events in the progeny decrease with the age of the parents in a parent-of-origin-dependent manner. Our results clearly show that parental reproductive age affects somatic mutation rates in the progeny and, thus, that some form of age-dependent information, which affects the frequency of double-strand breaks and possibly other processes involved in maintaining genome integrity, is transmitted through the gametes.
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Affiliation(s)
- Amit Kumar Singh
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
| | - Tufail Bashir
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
| | - Christian Sailer
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
| | - Viswanathan Gurumoorthy
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
| | - Anantha Maharasi Ramakrishnan
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
| | - Shanmuhapreya Dhanapal
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
| | - Ueli Grossniklaus
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
| | - Ramamurthy Baskar
- Department of Biotechnology, Indian Institute of Technology-Madras, Chennai 600 036, India (A.K.S., T.B., V.G., A.M.R., S.D., R.B.); andInstitute of Plant Biology and Zurich-Basel Plant Science Center, University of Zurich, CH-8008 Zurich, Switzerland (C.S., U.G.)
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Mismatch repair at stop codons is directed independent of GATC methylation on the Escherichia coli chromosome. Sci Rep 2014; 4:7346. [PMID: 25475788 PMCID: PMC5376664 DOI: 10.1038/srep07346] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Accepted: 11/19/2014] [Indexed: 12/03/2022] Open
Abstract
The mismatch repair system (MMR) corrects replication errors that escape proofreading. Previous studies on extrachromosomal DNA in Escherichia coli suggested that MMR uses hemimethylated GATC sites to identify the newly synthesized strand. In this work we asked how the distance of GATC sites and their methylation status affect the occurrence of single base substitutions on the E. coli chromosome. As a reporter system we used a lacZ gene containing an early TAA stop codon. We found that occurrence of point mutations at this stop codon is unaffected by GATC sites located more than 115 base pairs away. However, a GATC site located about 50 base pairs away resulted in a decreased mutation rate. This effect was independent of Dam methylation. The reversion rate of the stop codon increased only slightly in dam mutants compared to mutL and mutS mutants. We suggest that unlike on extrachromosomal DNA, GATC methylation is not the only strand discrimination signal for MMR on the E. coli chromosome.
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Gupta A, Singh TR. SHIFT: server for hidden stops analysis in frame-shifted translation. BMC Res Notes 2013; 6:68. [PMID: 23432998 PMCID: PMC3598200 DOI: 10.1186/1756-0500-6-68] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2012] [Accepted: 02/21/2013] [Indexed: 02/07/2023] Open
Abstract
Background Frameshift is one of the three classes of recoding. Frame-shifts lead to waste of energy, resources and activity of the biosynthetic machinery. In addition, some peptides synthesized after frame-shifts are probably cytotoxic which serve as plausible cause for innumerable number of diseases and disorders such as muscular dystrophies, lysosomal storage disorders, and cancer. Hidden stop codons occur naturally in coding sequences among all organisms. These codons are associated with the early termination of translation for incorrect reading frame selection and help to reduce the metabolic cost related to the frameshift events. Researchers have identified several consequences of hidden stop codons and their association with myriad disorders. However the wealth of information available is speckled and not effortlessly acquiescent to data-mining. To reduce this gap, this work describes an algorithmic web based tool to study hidden stops in frameshifted translation for all the lineages through respective genetic code systems. Findings This paper describes SHIFT, an algorithmic web application tool that provides a user-friendly interface for identifying and analyzing hidden stops in frameshifted translation of genomic sequences for all available genetic code systems. We have calculated the correlation between codon usage frequencies and the plausible contribution of codons towards hidden stops in an off-frame context. Markovian chains of various order have been used to model hidden stops in frameshifted peptides and their evolutionary association with naturally occurring hidden stops. In order to obtain reliable and persuasive estimates for the naturally occurring and predicted hidden stops statistical measures have been implemented. Conclusions This paper presented SHIFT, an algorithmic tool that allows user-friendly exploration, analysis, and visualization of hidden stop codons in frameshifted translations. It is expected that this web based tool would serve as a useful complement for analyzing hidden stop codons in all available genetic code systems. SHIFT is freely available for academic and research purpose at http://www.nuccore.org/shift/.
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Affiliation(s)
- Arun Gupta
- School of Computer Science and IT, DAVV, Indore, M.P., India
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Juurik T, Ilves H, Teras R, Ilmjärv T, Tavita K, Ukkivi K, Teppo A, Mikkel K, Kivisaar M. Mutation frequency and spectrum of mutations vary at different chromosomal positions of Pseudomonas putida. PLoS One 2012; 7:e48511. [PMID: 23119042 PMCID: PMC3485313 DOI: 10.1371/journal.pone.0048511] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2012] [Accepted: 09/25/2012] [Indexed: 11/18/2022] Open
Abstract
It is still an open question whether mutation rate can vary across the bacterial chromosome. In this study, the occurrence of mutations within the same mutational target sequences at different chromosomal locations of Pseudomonas putida was monitored. For that purpose we constructed two mutation detection systems, one for monitoring the occurrence of a broad spectrum of mutations and transposition of IS element IS1411 inactivating LacI repressor, and another for detecting 1-bp deletions. Our results revealed that both the mutation frequency and the spectrum of mutations vary at different chromosomal positions. We observed higher mutation frequencies when the direction of transcription of the mutational target gene was opposite to the direction of replisome movement in the chromosome and vice versa, lower mutation frequency was accompanied with co-directional transcription and replication. Additionally, asymmetry of frameshift mutagenesis at homopolymeric and repetitive sequences during the leading and lagging-strand replication was found. The transposition frequency of IS1411 was also affected by the chromosomal location of the target site, which implies that regional differences in chromosomal topology may influence transposition of this mobile element. The occurrence of mutations in the P. putida chromosome was investigated both in growing and in stationary-phase bacteria. We found that the appearance of certain mutational hot spots is strongly affected by the chromosomal location of the mutational target sequence especially in growing bacteria. Also, artificial increasing transcription of the mutational target gene elevated the frequency of mutations in growing bacteria.
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Affiliation(s)
- Triinu Juurik
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Heili Ilves
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Riho Teras
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Tanel Ilmjärv
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Kairi Tavita
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Kärt Ukkivi
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Annika Teppo
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Katren Mikkel
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
| | - Maia Kivisaar
- Department of Genetics, Institute of Molecular and Cell Biology, Tartu University and Estonian Biocentre, Tartu, Estonia
- * E-mail:
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