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      Evolution of Chloroplast Transcript Processing in Plasmodium and Its Chromerid Algal Relatives

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          Abstract

          It is well understood that apicomplexan parasites, such as the malaria pathogen Plasmodium, are descended from free-living algae, and maintain a vestigial chloroplast that has secondarily lost all genes of photosynthetic function. Recently, two fully photosynthetic relatives of parasitic apicomplexans have been identified, the ‘chromerid’ algae Chromera velia and Vitrella brassicaformis, which retain photosynthesis genes within their chloroplasts. Elucidating the processes governing gene expression in chromerid chloroplasts might provide valuable insights into the origins of parasitism in the apicomplexans. We have characterised chloroplast transcript processing pathways in C. velia, V. brassicaformis and P. falciparum with a focus on the addition of an unusual, 3′ poly(U) tail. We demonstrate that poly(U) tails in chromerids are preferentially added to transcripts that encode proteins that are directly involved in photosynthetic electron transfer, over transcripts for proteins that are not involved in photosynthesis. To our knowledge, this represents the first chloroplast transcript processing pathway to be associated with a particular functional category of genes. In contrast, Plasmodium chloroplast transcripts are not polyuridylylated. We additionally present evidence that poly(U) tail addition in chromerids is involved in the alternative processing of polycistronic precursors covering multiple photosynthesis genes, and appears to be associated with high levels of transcript abundance. We propose that changes to the chloroplast transcript processing machinery were an important step in the loss of photosynthesis in ancestors of parasitic apicomplexans.

          Author Summary

          Chloroplasts contain their own genomes, containing two broad functional types of gene: genes encoding proteins directly involved in photosynthesis, and genes with a non-photosynthesis function, such as cofactor biosynthesis, assembly of protein complexes, or expression of the chloroplast genome. Thus far, to our knowledge, no chloroplast gene expression pathways in any lineage have been found to target one functional category of gene specifically. Here, we show that a chloroplast RNA processing pathway – the addition of a 3′ poly(U) tail – is specifically associated with photosynthesis genes in two species of algae, the ‘chromerids’ Chromera and Vitrella. The addition of the poly(U) tail enables the precise processing of mature photosynthesis gene transcripts from precursor RNA, and is likely to be essential for expression of the chromerid photosynthesis machinery. The chromerid algae are the closest photosynthetic relatives of a parasitic group of eukaryotes, the apicomplexans, which include the malaria pathogen Plasmodium. Apicomplexans are descended from algae, and retain a reduced chloroplast, which contains genes only of non-photosynthesis function. We have confirmed that 3′ poly(U) tails are not added to Plasmodium chloroplast transcripts. The expression pathways associated with photosynthesis genes have therefore been lost in the evolution of the apicomplexan chloroplast, and this loss could potentially have driven the transition from photosynthesis to parasitism.

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          Estimating the timing of early eukaryotic diversification with multigene molecular clocks.

          Although macroscopic plants, animals, and fungi are the most familiar eukaryotes, the bulk of eukaryotic diversity is microbial. Elucidating the timing of diversification among the more than 70 lineages is key to understanding the evolution of eukaryotes. Here, we use taxon-rich multigene data combined with diverse fossils and a relaxed molecular clock framework to estimate the timing of the last common ancestor of extant eukaryotes and the divergence of major clades. Overall, these analyses suggest that the last common ancestor lived between 1866 and 1679 Ma, consistent with the earliest microfossils interpreted with confidence as eukaryotic. During this interval, the Earth's surface differed markedly from today; for example, the oceans were incompletely ventilated, with ferruginous and, after about 1800 Ma, sulfidic water masses commonly lying beneath moderately oxygenated surface waters. Our time estimates also indicate that the major clades of eukaryotes diverged before 1000 Ma, with most or all probably diverging before 1200 Ma. Fossils, however, suggest that diversity within major extant clades expanded later, beginning about 800 Ma, when the oceans began their transition to a more modern chemical state. In combination, paleontological and molecular approaches indicate that long stems preceded diversification in the major eukaryotic lineages.
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            Application of a time-delay neural network to promoter annotation in the Drosophila melanogaster genome.

            Computational methods for automated genome annotation are critical to understanding and interpreting the bewildering mass of genomic sequence data presently being generated and released. A neural network model of the structural and compositional properties of a eukaryotic core promoter region has been developed and its application for analysis of the Drosophila melanogaster genome is presented. The model uses a time-delay architecture, a special case of a feed-forward neural network. The structure of this model allows for variable spacing between functional binding sites, which is known to play a key role in the transcription initiation process. Application of this model to a test set of core promoters not only gave better discrimination of potential promoter sites than previous statistical or neural network models, but also revealed indirectly subtle properties of the transcription initiation signal. When tested in the Adh region of 2.9 Mbases of the Drosophila genome, the neural network for promoter prediction (NNPP) program that incorporates the time-delay neural network model gives a recognition rate of 75% (69/92) with a false positive rate of 1/547 bases. The present work can be regarded as one of the first intensive studies that applies novel gene regulation technologies to the identification of the complex gene regulation sites in the genome of Drosophila melanogaster.
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              Cytoplasmic male sterility: a window to the world of plant mitochondrial-nuclear interactions.

              Mitochondrial function depends on the coordinate action of nuclear and mitochondrial genomes. The genetic dissection of these interactions presents special challenges in obligate aerobes, because the viability of these organisms depends on mitochondrial respiration. The plant trait cytoplasmic male sterility (CMS) is determined by the mitochondrial genome and is associated with a pollen sterility phenotype that can be suppressed or counteracted by nuclear genes known as restorer-of-fertility genes. Here, I review the nature and the origin of the genes that determine CMS, together with recent investigations that have exploited CMS to provide new insights into plant mitochondrial-nuclear communication. These studies have implicated mitochondrial signaling pathways, including those involved in regulating cell death and nuclear gene expression, in the elaboration of CMS. The molecular cloning of nuclear genes that restore fertility (i.e. restorer-of-fertility genes) has identified genes encoding pentatricopeptide-repeat proteins as key regulators of plant mitochondrial gene expression.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                January 2014
                January 2014
                16 January 2014
                : 10
                : 1
                : e1004008
                Affiliations
                [1 ]Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
                [2 ]School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia
                Washington University School of Medicine, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RGD RERN CJH. Performed the experiments: RGD JD RERN. Analyzed the data: RGD RERN. Wrote the paper: RGD RERN CJH.

                Article
                PGENETICS-D-13-01528
                10.1371/journal.pgen.1004008
                3894158
                24453981
                a97fe681-670d-458d-b1c8-c47732c8f4ff
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 June 2013
                : 22 October 2013
                Page count
                Pages: 15
                Funding
                This work was partially funded by a Wellcome Trust Project Grant ‘Transcription & post-transcriptional processing in the Plasmodium chloroplast’ to CJH and RERN (grant number 094249, www.wellcome.ac.uk). RGD was supported by a BBSRC doctoral training award (grant number BB/F017464/1, www.bbsrc.ac.uk). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Evolutionary Biology
                Forms of Evolution
                Divergent Evolution
                Genomic Evolution
                Marine Biology
                Phycology
                Microbiology
                Parasitology
                Parasite Evolution
                Molecular Cell Biology
                Nucleic Acids
                RNA
                RNA processing
                Plant Cell Biology
                Chloroplast
                Plant Science
                Plant Cell Biology
                Chloroplast
                Plants
                Algae
                Plant Evolution

                Genetics
                Genetics

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