A FLASH pipeline for arrayed CRISPR library construction and the gene function discovery of rice receptor-like kinases

2021 ◽  
Author(s):  
Kaiyuan Chen ◽  
Runnan Ke ◽  
Manman Du ◽  
Yuqing Yi ◽  
Yache Chen ◽  
...  
2010 ◽  
Author(s):  
Ramil Mauleon ◽  
Ramil Mauleon ◽  
Kenneth McNally ◽  
Hei Leung ◽  
Richard Bruskiewich ◽  
...  

2017 ◽  
Vol 7 (8) ◽  
pp. 2855-2858 ◽  
Author(s):  
Yanhui Hu ◽  
Aram Comjean ◽  
Stephanie E. Mohr ◽  
Norbert Perrimon ◽  

2002 ◽  
Vol 32 (5) ◽  
pp. 859-866 ◽  
Author(s):  
Véronique Gosselé ◽  
Ina Faché ◽  
Frank Meulewaeter ◽  
Marc Cornelissen ◽  
Michael Metzlaff

2014 ◽  
Vol 31 (3) ◽  
pp. 306-310 ◽  
Author(s):  
James Vlasblom ◽  
Khalid Zuberi ◽  
Harold Rodriguez ◽  
Roland Arnold ◽  
Alla Gagarinova ◽  
...  

2020 ◽  
Vol 86 (23) ◽  
Author(s):  
Amy B. Banta ◽  
Amy L. Enright ◽  
Cheta Siletti ◽  
Jason M. Peters

ABSTRACT Zymomonas mobilis is a promising biofuel producer due to its high alcohol tolerance and streamlined metabolism that efficiently converts sugar to ethanol. Z. mobilis genes are poorly characterized relative to those of model bacteria, hampering our ability to rationally engineer the genome with pathways capable of converting sugars from plant hydrolysates into valuable biofuels and bioproducts. Many of the unique properties that make Z. mobilis an attractive biofuel producer are controlled by essential genes; however, these genes cannot be manipulated using traditional genetic approaches (e.g., deletion or transposon insertion) because they are required for viability. CRISPR interference (CRISPRi) is a programmable gene knockdown system that can precisely control the timing and extent of gene repression, thus enabling targeting of essential genes. Here, we establish a stable, high-efficacy CRISPRi system in Z. mobilis that is capable of perturbing all genes—including essential genes. We show that Z. mobilis CRISPRi causes either strong knockdowns (>100-fold) using single guide RNA (sgRNA) spacers that perfectly match target genes or partial knockdowns using spacers with mismatches. We demonstrate the efficacy of Z. mobilis CRISPRi by targeting essential genes that are universally conserved in bacteria, are key to the efficient metabolism of Z. mobilis, or underlie alcohol tolerance. Our Z. mobilis CRISPRi system will enable comprehensive gene function discovery, opening a path to rational design of biofuel production strains with improved yields. IMPORTANCE Biofuels produced by microbial fermentation of plant feedstocks provide renewable and sustainable energy sources that have the potential to mitigate climate change and improve energy security. Engineered strains of the bacterium Z. mobilis can convert sugars extracted from plant feedstocks into next-generation biofuels like isobutanol; however, conversion by these strains remains inefficient due to key gaps in our knowledge about genes involved in metabolism and stress responses such as alcohol tolerance. Here, we develop CRISPRi as a tool to explore gene function in Z. mobilis. We characterize genes that are essential for growth, required to ferment sugar to ethanol, and involved in resistance to isobutanol. Our Z. mobilis CRISPRi system makes it straightforward to define gene function and can be applied to improve strain engineering and increase biofuel yields.


2021 ◽  
Author(s):  
Patrice A Salomé ◽  
Sabeeha S Merchant

Abstract The unicellular green alga Chlamydomonas reinhardtii is a choice reference system for the study of photosynthesis and chloroplast metabolism, cilium assembly and function, lipid and starch metabolism, and metal homeostasis. Despite decades of research, the functions of thousands of genes remain largely unknown, and new approaches are needed to categorically assign genes to cellular pathways. Growing collections of transcriptome and proteome data now allow a systematic approach based on integrative co-expression analysis. We used a dataset comprising 518 deep transcriptome samples derived from 58 independent experiments to identify potential co-expression relationships between genes. We visualized co-expression potential with the R package corrplot, to easily assess co-expression and anti-correlation between genes. We extracted several hundred high-confidence genes at the intersection of multiple curated lists involved in cilia, cell division, and photosynthesis, illustrating the power of our method. Surprisingly, Chlamydomonas experiments retained a significant rhythmic component across the transcriptome, suggesting an underappreciated variable during sample collection, even in samples collected in constant light. Our results therefore document substantial residual synchronization in batch cultures, contrary to assumptions of asynchrony. We provide step-by-step protocols for the analysis of co-expression across transcriptome data sets from Chlamydomonas and other species to help foster gene function discovery.


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