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      Comparative genomics reveals the molecular determinants of rapid growth of the cyanobacterium Synechococcus elongatus UTEX 2973

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          Abstract

          Cyanobacteria are emerging as attractive organisms for sustainable bioproduction. We previously described Synechococcus elongatus UTEX 2973 as the fastest growing cyanobacterium known. Synechococcus 2973 exhibits high light tolerance and an increased photosynthetic rate and produces biomass at three times the rate of its close relative, the model strain Synechococcus elongatus 7942. The two strains differ at 55 genetic loci, and some of these loci must contain the genetic determinants of rapid photoautotrophic growth and improved photosynthetic rate. Using CRISPR/Cpf1, we performed a comprehensive mutational analysis of Synechococcus 2973 and identified three specific genes, atpA, ppnK, and rpaA, with SNPs that confer rapid growth. The fast-growth–associated allele of each gene was then used to replace the wild-type alleles in Synechococcus 7942. Upon incorporation, each allele successively increased the growth rate of Synechococcus 7942; remarkably, inclusion of all three alleles drastically reduced the doubling time from 6.8 to 2.3 hours. Further analysis revealed that our engineering effort doubled the photosynthetic productivity of Synechococcus 7942. We also determined that the fast-growth–associated allele of atpA yielded an ATP synthase with higher specific activity, while that of ppnK encoded a NAD + kinase with significantly improved kinetics. The rpaA SNPs cause broad changes in the transcriptional profile, as this gene is the master output regulator of the circadian clock. This pioneering study has revealed the molecular basis for rapid growth, demonstrating that limited genetic changes can dramatically improve the growth rate of a microbe by as much as threefold.

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          Redesigning photosynthesis to sustainably meet global food and bioenergy demand.

          The world's crop productivity is stagnating whereas population growth, rising affluence, and mandates for biofuels put increasing demands on agriculture. Meanwhile, demand for increasing cropland competes with equally crucial global sustainability and environmental protection needs. Addressing this looming agricultural crisis will be one of our greatest scientific challenges in the coming decades, and success will require substantial improvements at many levels. We assert that increasing the efficiency and productivity of photosynthesis in crop plants will be essential if this grand challenge is to be met. Here, we explore an array of prospective redesigns of plant systems at various scales, all aimed at increasing crop yields through improved photosynthetic efficiency and performance. Prospects range from straightforward alterations, already supported by preliminary evidence of feasibility, to substantial redesigns that are currently only conceptual, but that may be enabled by new developments in synthetic biology. Although some proposed redesigns are certain to face obstacles that will require alternate routes, the efforts should lead to new discoveries and technical advances with important impacts on the global problem of crop productivity and bioenergy production.
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            Synechococcus elongatus UTEX 2973, a fast growing cyanobacterial chassis for biosynthesis using light and CO2

            Photosynthetic microbes are of emerging interest as production organisms in biotechnology because they can grow autotrophically using sunlight, an abundant energy source, and CO2, a greenhouse gas. Important traits for such microbes are fast growth and amenability to genetic manipulation. Here we describe Synechococcus elongatus UTEX 2973, a unicellular cyanobacterium capable of rapid autotrophic growth, comparable to heterotrophic industrial hosts such as yeast. Synechococcus UTEX 2973 can be readily transformed for facile generation of desired knockout and knock-in mutations. Genome sequencing coupled with global proteomics studies revealed that Synechococcus UTEX 2973 is a close relative of the widely studied cyanobacterium Synechococcus elongatus PCC 7942, an organism that grows more than two times slower. A small number of nucleotide changes are the only significant differences between the genomes of these two cyanobacterial strains. Thus, our study has unraveled genetic determinants necessary for rapid growth of cyanobacterial strains of significant industrial potential.
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              Cpf1 Is A Versatile Tool for CRISPR Genome Editing Across Diverse Species of Cyanobacteria

              Cyanobacteria are the ideal organisms for the production of a wide range of bioproducts as they can convert CO2 directly into the desired end product using solar energy. Unfortunately, the engineering of cyanobacteria to create efficient cell factories has been impaired by the cumbersome genetic tools that are currently available for these organisms; especially when trying to accumulate multiple modifications. We sought to construct an efficient and precise tool for generating numerous markerless modifications in cyanobacteria using CRISPR technology and the alternative nuclease, Cpf1. In this study we demonstrate rapid engineering of markerless knock-ins, knock-outs and point mutations in each of three model cyanobacteria; Synechococcus, Synechocystis and Anabaena. The markerless nature of cpf1 genome editing will allow for complex genome modification that was not possible with previously existing technology while facilitating the development of cyanobacteria as highly modified biofactories.
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                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc Natl Acad Sci USA
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                December 11 2018
                December 11 2018
                December 11 2018
                November 08 2018
                : 115
                : 50
                : E11761-E11770
                Article
                10.1073/pnas.1814912115
                6294925
                30409802
                4a3a61d9-8e15-4521-8b35-d70618fac1ec
                © 2018
                History

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