Brian R. Morton

Dr. Brian R. Morton

Department of Biology, Barnard College, Columbia University, New York, NY 10027, USA

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 1998 in Journal of Molecular Evolution
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BMBrian R. Morton
Brian R. Morton


1 November 2015 in Insect Biochemistry and Molecular Biology
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Journal Article
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CKChristopher Koenig
Christopher Koenig
AHAriana Hirsh
Ariana Hirsh
SBSascha Bucks
Sascha Bucks
CKChristian Klinner
Christian Klinner
HVHeiko Vogel
Heiko Vogel
EGEwald Große-Wilde
Ewald Große-Wilde

1 January 2006 in Genetics
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BMBrian R. Morton
Brian R. Morton
IBIrie V. Bi
Irie V. Bi
MMMichael D. McMullen
Michael D. McMullen
BGBrandon S. Gaut
Brandon S. Gaut
We examine variation in mutation dynamics across a single genome (Zea mays ssp. mays) in relation to regional and flanking base composition using a data set of 10,472 SNPs generated by resequencing 1776 transcribed regions. We report several relationships between flanking base composition and mutation pattern. The A + T content of the two sites immediately flanking the mutation site is correlated with rate, transition bias, and GC → AT pressure. We also observe a significant CpG effect, or increase in transition rate at CpG sites. At the regional level we find that the strength of the CpG effect is correlated with regional A + T content, ranging from a 1.7-fold increase in transition rate in relatively G + C-rich regions to a 2.6-fold increase in A + T-rich regions. We also observe a relationship between locus A + T content and GC → AT pressure. This regional effect is in opposition to the influence of the two immediate neighbors in that GC → AT pressure increases with increasing locus A + T content but decreases with increasing flanking base A + T content and may represent a relationship between genome location and mutation bias. The data indicate multiple context effects on mutations, resulting in significant variation in mutation dynamics across the genome.

20 May 2016 in PLOS ONE
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HSHaruo Suzuki
Haruo Suzuki
BMBrian R. Morton
Brian R. Morton
Codon adaptation is codon usage bias that results from selective pressure to increase the translation efficiency of a gene. Codon adaptation has been studied across a wide range of genomes and some early analyses of plastids have shown evidence for codon adaptation in a limited set of highly expressed plastid genes. Here we study codon usage bias across all fully sequenced plastid genomes which includes representatives of the Rhodophyta, Alveolata, Cryptophyta, Euglenozoa, Glaucocystophyceae, Rhizaria, Stramenopiles and numerous lineages within the Viridiplantae, including Chlorophyta and Embryophyta. We show evidence that codon adaptation occurs in all genomes except for two, Theileria parva and Heicosporidium sp., both of which have highly reduced gene contents and no photosynthesis genes. We also show evidence that selection for codon adaptation increases the representation of the same set of codons, which we refer to as the adaptive codons, across this wide range of taxa, which is probably due to common features descended from the initial endosymbiont. We use various measures to estimate the relative strength of selection in the different lineages and show that it appears to be fairly strong in certain Stramenopiles and Chlorophyta lineages but relatively weak in many members of the Rhodophyta, Euglenozoa and Embryophyta. Given these results we propose that codon adaptation in plastids is widespread and displays the same general features as adaptation in eubacterial genomes.

27 April 1999 in Proceedings of the National Academy of Sciences
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BMBrian R. Morton
Brian R. Morton
It is shown that the two strands of the chloroplast genome from Euglena gracilis are asymmetric with regards to nucleotide composition. This asymmetry switches at both the origin of replication and a location that is halfway around the circular genome from the origin. In both halves of the genome the leading strand is G+T-rich, having a bias toward G over C and T over A, and the lagging strand is A+C-rich. This asymmetry is probably the result of a difference in mutation dynamics between the leading and lagging strands. In addition to composition asymmetry, the two strands differ with regards to coding content. In both halves of the genome the vast majority of genes are coded by the leading strand. These two aspects of strand asymmetry are then applied to a statistical test for selection on codon usage. The results indicate that selection on codon usage is limited to genes on the leading strand; no gene on the A+C-rich lagging strand shows evidence for selection, suggesting that highly expressed genes are coded predominantly on the strand of DNA that is the leading strand during replication. On the basis of these observations it is proposed that the coding strand bias is generated by selection to code highly expressed genes on the leading strand to coordinate the direction of replication and transcription, thereby increasing the potential rate of both reactions.