SlideShare a Scribd company logo
1 of 6
Download to read offline
Genomic and proteomic biases inform metabolic
engineering strategies for anaerobic fungi
Background
• Anaerobic gut fungi (AGF) of phylum Neocallimastiglomycota are
powerful degraders of lignocellulose.
• The genomes of AGF are notoriously repeat rich, which delayed
acquisition of high quality AGF genomes until the advent of long
read sequencing.
• The unusual composition of AGF genomes has hindered
interpretation of genomic information and heterologous expression
of AGF enzymes. Only ~30% of AGF genes are annotatable and
few proteins have been successfully heterologously expressed.
• This study provides strategies for engineering AGF that account for
the atypical compositions of AGF genomes and proteomes.
Approach
• We carried out analyses that compared AGF genomes and
predicted AGF proteomes to other available fungal genomes.
• Our analyses seek to inform engineering efforts including direct
genetic editing, effective generation of genetic variants, and
heterologous expression of valuable AGF enzymes.
Outcomes and Impacts
• The AT richness of AGF genomes make common gene editing
approaches challenging, but we suggest that recent advances in
alternative T-rich recognition sites provide a path forward.
• Non-standard codon usage and an abundance of homopolymeric
amino acid runs in AGF enzymes currently present challenges for
heterologous expression. To address this, we provide an AGF
codon usage table and we implicate homopolymeric amino acid
runs in glycosylation of valuable AGF enzymes.
Wilken et al. (2019) ACS Metabolic Engineering Communications, doi: 10.1016/j.mec.2019.e00107
Among all fungi, the predicted proteomes of AGF are most similar to those of
Cryptomycota, Glomeromycota, and Microsporidia. In contrast to these
neighbor phyla, predicted AGF proteomes are highly enriched in asparagine.
Anaerobic gut fungi have the most GC depleted coding genomes of all fungi,
complicating efforts to engineer AGF and their enzymes.
Function-driven single-cell genomics uncovers
cellulose-degrading bacteria from the rare biosphere
Background
• Assigning a functional role to a microorganism has historically
relied on cultivation of isolates or detection of environmental
genome-based biomarkers using a posteriori knowledge of
function. However, the emerging field of function-driven single-cell
genomics aims to expand this paradigm by identifying and
capturing individual microbes based on their in situ functions or
traits.
Approach
• We developed and benchmarked a function-driven single-cell
screen for cellulase activity in uncultivated microbes, which we
applied to a microbial community inhabiting the Great Boiling
Spring (GBS) Geothermal Field, northwest Nevada.
Outcomes and Impacts
• Single bacterial cells that bound to the fluorescent cellulose probe
were sorted and characterized by 16S rRNA and single cell
sequencing.
• Putative cellulases were identified by bioinformatics and screened
using an in vitro assay and NIMS detection.
• Along with well-characterized phyla, divergent cellulases encoded
in the genome of a representative of a recently described
candidate phylum from the rare biosphere, Goldbacteria, were
identified and characterized.
• We expect that this function-driven single-cell approach can be
extended to a broad range of substrates, linking microbial
taxonomy directly to in situ function..
Doud et al. (2019) ISME J, doi:10.1038/s41396-019-0557-y
Evaluating protic ionic liquid for woody biomass
one-pot pretreatment + saccharification, followed
by Rhodosporidium toruloides cultivation
Background
• One-pot ionic liquid-based processes are a promising
bioproduction strategy to reduce water consumption (removing the
washing of biomass), reducing costs and minimizing the presence
of inhibitory compounds.
Approach
• We evaluated the one-pot ionic liquid pretreatment +
saccharification configuration as a scheme for the deconstruction
and conversion of two different woody feedstocks, eucalyptus, and
pine.
• A comparative study of protic ionic liquids 2-
hydroxylethylammonium acetate-based ionic liquids, bis-2-
hydroxyethyl ammonium acetate ([2-HEA][OAc]), and cholinium
lysinate ([Ch][Lys]) for pretreatment of eucalyptus and pine was
conducted.
Outcomes and Impacts
• Protic ionic liquids were more effective in eucalyptus than in pine
pretreatment and less toxic than cholinium lysinate at
concentrations ≤10 % w/w.
• 2-hydroxylethylammonium acetate yielded the highest digestibility,
of up to 75% in eucalyptus.
• This work is a starting point for further studies aimed at increasing
cellulose digestibility in a one-pot configuration in the presence of
protic ILs.
Rigual et al. (2019) ACS Sustainable Chem. Eng., doi:10.1021/acssuschemeng.9b04451
Effect of pH adjustment on glucose and xylose
consumption over the course of growth and production
using R. toruloides in the presence of IL [2-HEA][OAc].
Omics-driven identification and elimination of
valerolactam catabolism in Pseudomonas putida
KT2440 for increased product titer
Background
• Pseudomonas putida is a promising host for metabolic engineering
due to its diverse catabolic range allowing for the valorization of
lignin derivatives.
• P. putida is also able to degrade or catabolize multiple lactams,
important precursors to polymers such as nylon. This catabolism
dramatically impacts titers in engineered strains.
Approach
• We utilized a combination of Random-Barcode Transposon
Sequencing (RB-TnSeq), as well as shotgun proteomics to identify
enzymes that hydrolyze lactams in P. putida. We then used this
information to engineer more productive strains of lactam
producing strains of P. putida.
Outcomes and Impacts
• RB-TnSeq validated that valerolactam is metabolized via the L-
lysine catabolic pathway.
• Shotgun proteomics identified that OplBA is likely responsible for
lactam hydrolysis.
• Knocking out oplBA in P. putida prevented the bacterium from
growing on valerolactam, as well as preventing caprolactam
hydrolysis in vivo.
• Knocking out oplBA and other loci in P. putida increased
valerolactam titers from 0 mg/L to ~90 mg/L after 48-hour
fermentations with added L-lysine.
Thompson et al. (2019) Metab Eng Commun. doi: 10.1016/j.mec.2019.e00098
Using a combination of RB-TnSeq and shotgun proteomics a
lactam hydrolase was identified in P. putida (A). By eliminating
the hydrolase and other pathways that compete for precursors
valerolactam titer was significantly increased (B).
Genome sequence of the model rice variety
KitaakeX
Background
• Rice (Oryza sativa) provides food for more than half of the world’s
population and also serves as a model for studies of biofuel crops such
as sorghum and switchgrass
• The Kitaake cultivar (ssp. japonica), which originated at the northern
limit of rice cultivation in Hokkaido, Japan, has emerged as a model for
rice research. It has a rapid life cycle (9 weeks seed to seed) and is
easy to transform and propagate
• KitaakeX, a Kitaake variety carrying the Xa21 immune receptor gene
Jain et al. (2019) BMC Genomics, doi:10.1186/s12864-019-6262-4
Genome wide analysis of KitaakeX genome and its
comparison with other rice varieties
Approach
• To obtain a high-quality, de novo genome assembly, we sequenced the
KitaakeX genome using a strategy that combines short-read and long-read
sequencing. Sequencing reads were collected using Illumina, 10x
Genomics, PACBIO, and Sanger platforms at the Joint Genome Institute
(JGI) and the HudsonAlpha Institute
Outcomes
• The assembled sequence contains 377.6 Mb, consisting of 33 scaffolds
with a contig N50 of 1.4 Mb, covering a total of 99.67% of assembled
bases in chromosomes
• We predicted 35,594 protein-coding genes in the KitaakeX genome
representing 31.5% genic space of the assembled genome size.
• We found 331,335 variations between KitaakeX and Nipponbare and
nearly 10 times as many (2,785,991) variations between KitaakeX and
Zhenshan97
Significance
• The high quality, de novo assembly of the KitaakeX genome will serve as a
useful reference genome for rice and will accelerate functional genomics
studies of rice and other monocotyledonous species such as sorghum.
The early flowering rice variety KitaakeX
Stochastic economic and environmental
footprints of biodiesel production
from Jatropha curcas Linnaeus in Nepal
Background
• Despite some initial failures, the required growing conditions for
commercial success of Jatropha have now identified, which lead to a
renewed commercial interest and necessitate a new and updated
analysis.
• This study considers a novel set of essential parameters specifics to
geography, climate, soil conditions, and irrigation to determine
commercially feasible land for Jatropha farming and documented a
system level economic and environmental impacts analyses.
Approach
• We developed stochastic process models and quantified selling price
and carbon footprint.
• We determined suite of avenues to address the current global failure
of Jatropha-based biodiesel plant.
Outcomes and Impacts
• A seed yield of >3.9 t/ha and a high oil content Jatropha variety (oil
yield of >50 wt%) are required to achieve the selling price of biodiesel
close to the current local price of the conventional diesel of $1/L.
• Including the impacts from direct and indirect land use changes, the
carbon footprint could reach below the conventional fuel equivalent by
achieving a very high seed yield (>5 t/ha), using only marginal lands,
and encouraging aggressive afforestation.
• Results indicate the pathways and sensitivities for developing policies
to enable the production of sustainable biodiesel from Jatropha.
Baral et al. (2019) Renew. Sustain. Energy Rev., doi: 10.1016/j.rser.2019.109619
Minimum selling price of biodiesel
Greenhouse gas emissions
including direct land use changes

More Related Content

What's hot

JBEI Highlights February 2016
JBEI Highlights February 2016JBEI Highlights February 2016
JBEI Highlights February 2016Irina Silva
 
JBEI August 2020 Highlights
JBEI August 2020 HighlightsJBEI August 2020 Highlights
JBEI August 2020 HighlightsLeahFreemanSloan
 
JBEI Research Highlights December 2016
JBEI Research Highlights December 2016 JBEI Research Highlights December 2016
JBEI Research Highlights December 2016 Irina Silva
 
JBEI Research Highlights - July 2018
JBEI Research Highlights - July 2018 JBEI Research Highlights - July 2018
JBEI Research Highlights - July 2018 Irina Silva
 
JBEI Highlights August 2015
JBEI Highlights August 2015JBEI Highlights August 2015
JBEI Highlights August 2015Irina Silva
 
March 2021 - JBEI Research Highlight Slides
March 2021 - JBEI Research Highlight SlidesMarch 2021 - JBEI Research Highlight Slides
March 2021 - JBEI Research Highlight SlidesSaraHarmon4
 
JBEI Research Highlights - October 2017
JBEI Research Highlights - October 2017 JBEI Research Highlights - October 2017
JBEI Research Highlights - October 2017 Irina Silva
 
JBEI April 2021 - Research Highlights
JBEI April 2021 - Research HighlightsJBEI April 2021 - Research Highlights
JBEI April 2021 - Research HighlightsSaraHarmon4
 
JBEI July 2020 Highlights
JBEI July 2020 HighlightsJBEI July 2020 Highlights
JBEI July 2020 HighlightsLeahFreemanSloan
 
JBEI Research Highlights - December 2017
JBEI Research Highlights - December 2017 JBEI Research Highlights - December 2017
JBEI Research Highlights - December 2017 Irina Silva
 
JBEI Highlights November 2014
JBEI Highlights November 2014JBEI Highlights November 2014
JBEI Highlights November 2014Irina Silva
 
June 2021 - JBEI Research Highlights
June 2021 - JBEI Research HighlightsJune 2021 - JBEI Research Highlights
June 2021 - JBEI Research HighlightsSaraHarmon4
 
JBEI Research Highlights November 2016
JBEI Research Highlights November 2016JBEI Research Highlights November 2016
JBEI Research Highlights November 2016Irina Silva
 
JBEI September 2020 Highlights
JBEI September 2020 HighlightsJBEI September 2020 Highlights
JBEI September 2020 HighlightsSaraHarmon4
 
JBEI Research Highlights - March 2019
JBEI Research Highlights - March 2019JBEI Research Highlights - March 2019
JBEI Research Highlights - March 2019Irina Silva
 
JBEI Highlights July 2015
JBEI Highlights July 2015JBEI Highlights July 2015
JBEI Highlights July 2015Irina Silva
 
JBEI Highlights September 2015
JBEI Highlights September 2015JBEI Highlights September 2015
JBEI Highlights September 2015Irina Silva
 
JBEI highlights December 2019
JBEI highlights December 2019JBEI highlights December 2019
JBEI highlights December 2019LeahFreemanSloan
 
JBEI Research Highlights - October 2018
JBEI Research Highlights - October 2018 JBEI Research Highlights - October 2018
JBEI Research Highlights - October 2018 Irina Silva
 
JBEI January 2021 Research Highlights
JBEI January 2021 Research HighlightsJBEI January 2021 Research Highlights
JBEI January 2021 Research HighlightsSaraHarmon4
 

What's hot (20)

JBEI Highlights February 2016
JBEI Highlights February 2016JBEI Highlights February 2016
JBEI Highlights February 2016
 
JBEI August 2020 Highlights
JBEI August 2020 HighlightsJBEI August 2020 Highlights
JBEI August 2020 Highlights
 
JBEI Research Highlights December 2016
JBEI Research Highlights December 2016 JBEI Research Highlights December 2016
JBEI Research Highlights December 2016
 
JBEI Research Highlights - July 2018
JBEI Research Highlights - July 2018 JBEI Research Highlights - July 2018
JBEI Research Highlights - July 2018
 
JBEI Highlights August 2015
JBEI Highlights August 2015JBEI Highlights August 2015
JBEI Highlights August 2015
 
March 2021 - JBEI Research Highlight Slides
March 2021 - JBEI Research Highlight SlidesMarch 2021 - JBEI Research Highlight Slides
March 2021 - JBEI Research Highlight Slides
 
JBEI Research Highlights - October 2017
JBEI Research Highlights - October 2017 JBEI Research Highlights - October 2017
JBEI Research Highlights - October 2017
 
JBEI April 2021 - Research Highlights
JBEI April 2021 - Research HighlightsJBEI April 2021 - Research Highlights
JBEI April 2021 - Research Highlights
 
JBEI July 2020 Highlights
JBEI July 2020 HighlightsJBEI July 2020 Highlights
JBEI July 2020 Highlights
 
JBEI Research Highlights - December 2017
JBEI Research Highlights - December 2017 JBEI Research Highlights - December 2017
JBEI Research Highlights - December 2017
 
JBEI Highlights November 2014
JBEI Highlights November 2014JBEI Highlights November 2014
JBEI Highlights November 2014
 
June 2021 - JBEI Research Highlights
June 2021 - JBEI Research HighlightsJune 2021 - JBEI Research Highlights
June 2021 - JBEI Research Highlights
 
JBEI Research Highlights November 2016
JBEI Research Highlights November 2016JBEI Research Highlights November 2016
JBEI Research Highlights November 2016
 
JBEI September 2020 Highlights
JBEI September 2020 HighlightsJBEI September 2020 Highlights
JBEI September 2020 Highlights
 
JBEI Research Highlights - March 2019
JBEI Research Highlights - March 2019JBEI Research Highlights - March 2019
JBEI Research Highlights - March 2019
 
JBEI Highlights July 2015
JBEI Highlights July 2015JBEI Highlights July 2015
JBEI Highlights July 2015
 
JBEI Highlights September 2015
JBEI Highlights September 2015JBEI Highlights September 2015
JBEI Highlights September 2015
 
JBEI highlights December 2019
JBEI highlights December 2019JBEI highlights December 2019
JBEI highlights December 2019
 
JBEI Research Highlights - October 2018
JBEI Research Highlights - October 2018 JBEI Research Highlights - October 2018
JBEI Research Highlights - October 2018
 
JBEI January 2021 Research Highlights
JBEI January 2021 Research HighlightsJBEI January 2021 Research Highlights
JBEI January 2021 Research Highlights
 

Similar to JBEI highlights November 2019

August 2021 - JBEI Research Highlights
August 2021 - JBEI Research HighlightsAugust 2021 - JBEI Research Highlights
August 2021 - JBEI Research HighlightsSaraHarmon4
 
JBEI Research Highlights - April 2019
JBEI Research Highlights - April 2019JBEI Research Highlights - April 2019
JBEI Research Highlights - April 2019Irina Silva
 
JBEI October 2020 Research Highlights
JBEI October 2020 Research HighlightsJBEI October 2020 Research Highlights
JBEI October 2020 Research HighlightsSaraHarmon4
 
JBEI Research Highlights - January 2018
JBEI Research Highlights - January 2018  JBEI Research Highlights - January 2018
JBEI Research Highlights - January 2018 Irina Silva
 
JBEI May 2020 Highlights
JBEI May 2020 HighlightsJBEI May 2020 Highlights
JBEI May 2020 HighlightsLeahFreemanSloan
 
JBEI Research Highlights - October 2021
JBEI Research Highlights - October 2021JBEI Research Highlights - October 2021
JBEI Research Highlights - October 2021SaraHarmon4
 
JBEI Research Highlights - January 2017
JBEI Research Highlights - January 2017JBEI Research Highlights - January 2017
JBEI Research Highlights - January 2017Irina Silva
 
Breeding for salinity tolerance in plants.pptx
Breeding for salinity tolerance in plants.pptxBreeding for salinity tolerance in plants.pptx
Breeding for salinity tolerance in plants.pptxEshaneeSharma
 
July 2021 - JBEI Research Highlights
July 2021 - JBEI Research HighlightsJuly 2021 - JBEI Research Highlights
July 2021 - JBEI Research HighlightsSaraHarmon4
 
September 2021 - JBEI Research Highlights Slides
September 2021 - JBEI Research Highlights SlidesSeptember 2021 - JBEI Research Highlights Slides
September 2021 - JBEI Research Highlights SlidesSaraHarmon4
 
JBEI Highlights May 2015
JBEI Highlights May 2015JBEI Highlights May 2015
JBEI Highlights May 2015Irina Silva
 
JBEI June 2019 highlight slides
JBEI June 2019 highlight slidesJBEI June 2019 highlight slides
JBEI June 2019 highlight slidesLeahFreemanSloan
 
JBEI Highlights April 2016
JBEI Highlights April 2016JBEI Highlights April 2016
JBEI Highlights April 2016Irina Silva
 
JBEI highlights july 2019
JBEI highlights july 2019JBEI highlights july 2019
JBEI highlights july 2019LeahFreemanSloan
 
JBEI May 2021 - Research Highlights
JBEI May 2021 - Research HighlightsJBEI May 2021 - Research Highlights
JBEI May 2021 - Research HighlightsSaraHarmon4
 
JBEI Highlights - August 2014
JBEI Highlights - August 2014JBEI Highlights - August 2014
JBEI Highlights - August 2014Irina Silva
 
JBEI Highlights April 2015
JBEI Highlights April 2015JBEI Highlights April 2015
JBEI Highlights April 2015Irina Silva
 
JBEI Highlights November 2015
JBEI Highlights November 2015JBEI Highlights November 2015
JBEI Highlights November 2015Irina Silva
 
JBEI Research Highlights - February 2018
JBEI Research Highlights - February 2018JBEI Research Highlights - February 2018
JBEI Research Highlights - February 2018Irina Silva
 
JBEI Highlights March 2020
JBEI Highlights March 2020JBEI Highlights March 2020
JBEI Highlights March 2020LeahFreemanSloan
 

Similar to JBEI highlights November 2019 (20)

August 2021 - JBEI Research Highlights
August 2021 - JBEI Research HighlightsAugust 2021 - JBEI Research Highlights
August 2021 - JBEI Research Highlights
 
JBEI Research Highlights - April 2019
JBEI Research Highlights - April 2019JBEI Research Highlights - April 2019
JBEI Research Highlights - April 2019
 
JBEI October 2020 Research Highlights
JBEI October 2020 Research HighlightsJBEI October 2020 Research Highlights
JBEI October 2020 Research Highlights
 
JBEI Research Highlights - January 2018
JBEI Research Highlights - January 2018  JBEI Research Highlights - January 2018
JBEI Research Highlights - January 2018
 
JBEI May 2020 Highlights
JBEI May 2020 HighlightsJBEI May 2020 Highlights
JBEI May 2020 Highlights
 
JBEI Research Highlights - October 2021
JBEI Research Highlights - October 2021JBEI Research Highlights - October 2021
JBEI Research Highlights - October 2021
 
JBEI Research Highlights - January 2017
JBEI Research Highlights - January 2017JBEI Research Highlights - January 2017
JBEI Research Highlights - January 2017
 
Breeding for salinity tolerance in plants.pptx
Breeding for salinity tolerance in plants.pptxBreeding for salinity tolerance in plants.pptx
Breeding for salinity tolerance in plants.pptx
 
July 2021 - JBEI Research Highlights
July 2021 - JBEI Research HighlightsJuly 2021 - JBEI Research Highlights
July 2021 - JBEI Research Highlights
 
September 2021 - JBEI Research Highlights Slides
September 2021 - JBEI Research Highlights SlidesSeptember 2021 - JBEI Research Highlights Slides
September 2021 - JBEI Research Highlights Slides
 
JBEI Highlights May 2015
JBEI Highlights May 2015JBEI Highlights May 2015
JBEI Highlights May 2015
 
JBEI June 2019 highlight slides
JBEI June 2019 highlight slidesJBEI June 2019 highlight slides
JBEI June 2019 highlight slides
 
JBEI Highlights April 2016
JBEI Highlights April 2016JBEI Highlights April 2016
JBEI Highlights April 2016
 
JBEI highlights july 2019
JBEI highlights july 2019JBEI highlights july 2019
JBEI highlights july 2019
 
JBEI May 2021 - Research Highlights
JBEI May 2021 - Research HighlightsJBEI May 2021 - Research Highlights
JBEI May 2021 - Research Highlights
 
JBEI Highlights - August 2014
JBEI Highlights - August 2014JBEI Highlights - August 2014
JBEI Highlights - August 2014
 
JBEI Highlights April 2015
JBEI Highlights April 2015JBEI Highlights April 2015
JBEI Highlights April 2015
 
JBEI Highlights November 2015
JBEI Highlights November 2015JBEI Highlights November 2015
JBEI Highlights November 2015
 
JBEI Research Highlights - February 2018
JBEI Research Highlights - February 2018JBEI Research Highlights - February 2018
JBEI Research Highlights - February 2018
 
JBEI Highlights March 2020
JBEI Highlights March 2020JBEI Highlights March 2020
JBEI Highlights March 2020
 

More from LeahFreemanSloan

JBEI Highlights June 2020
JBEI Highlights June 2020JBEI Highlights June 2020
JBEI Highlights June 2020LeahFreemanSloan
 
JBEI Highlights April 2020
JBEI Highlights April 2020JBEI Highlights April 2020
JBEI Highlights April 2020LeahFreemanSloan
 
JBEI February 2020 highlights
JBEI February 2020 highlightsJBEI February 2020 highlights
JBEI February 2020 highlightsLeahFreemanSloan
 
JBEI highlights January 2020
JBEI highlights January 2020JBEI highlights January 2020
JBEI highlights January 2020LeahFreemanSloan
 
JBEI October 2019 highlights
JBEI October 2019 highlightsJBEI October 2019 highlights
JBEI October 2019 highlightsLeahFreemanSloan
 
JBEI highlights September 2019
JBEI highlights September 2019JBEI highlights September 2019
JBEI highlights September 2019LeahFreemanSloan
 

More from LeahFreemanSloan (6)

JBEI Highlights June 2020
JBEI Highlights June 2020JBEI Highlights June 2020
JBEI Highlights June 2020
 
JBEI Highlights April 2020
JBEI Highlights April 2020JBEI Highlights April 2020
JBEI Highlights April 2020
 
JBEI February 2020 highlights
JBEI February 2020 highlightsJBEI February 2020 highlights
JBEI February 2020 highlights
 
JBEI highlights January 2020
JBEI highlights January 2020JBEI highlights January 2020
JBEI highlights January 2020
 
JBEI October 2019 highlights
JBEI October 2019 highlightsJBEI October 2019 highlights
JBEI October 2019 highlights
 
JBEI highlights September 2019
JBEI highlights September 2019JBEI highlights September 2019
JBEI highlights September 2019
 

Recently uploaded

Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
Luciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxLuciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxAleenaTreesaSaji
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhousejana861314
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...SĂ©rgio Sacani
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxSwapnil Therkar
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSĂ©rgio Sacani
 
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxPhysiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxAArockiyaNisha
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsSĂ©rgio Sacani
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)PraveenaKalaiselvan1
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PPRINCE C P
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxyaramohamed343013
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...SĂ©rgio Sacani
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )aarthirajkumar25
 
Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physicsvishikhakeshava1
 
Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...anilsa9823
 

Recently uploaded (20)

Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Luciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxLuciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptx
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhouse
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxPhysiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C P
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docx
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )
 
Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physics
 
Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow đź’‹ Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 

JBEI highlights November 2019

  • 1. Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi Background • Anaerobic gut fungi (AGF) of phylum Neocallimastiglomycota are powerful degraders of lignocellulose. • The genomes of AGF are notoriously repeat rich, which delayed acquisition of high quality AGF genomes until the advent of long read sequencing. • The unusual composition of AGF genomes has hindered interpretation of genomic information and heterologous expression of AGF enzymes. Only ~30% of AGF genes are annotatable and few proteins have been successfully heterologously expressed. • This study provides strategies for engineering AGF that account for the atypical compositions of AGF genomes and proteomes. Approach • We carried out analyses that compared AGF genomes and predicted AGF proteomes to other available fungal genomes. • Our analyses seek to inform engineering efforts including direct genetic editing, effective generation of genetic variants, and heterologous expression of valuable AGF enzymes. Outcomes and Impacts • The AT richness of AGF genomes make common gene editing approaches challenging, but we suggest that recent advances in alternative T-rich recognition sites provide a path forward. • Non-standard codon usage and an abundance of homopolymeric amino acid runs in AGF enzymes currently present challenges for heterologous expression. To address this, we provide an AGF codon usage table and we implicate homopolymeric amino acid runs in glycosylation of valuable AGF enzymes. Wilken et al. (2019) ACS Metabolic Engineering Communications, doi: 10.1016/j.mec.2019.e00107 Among all fungi, the predicted proteomes of AGF are most similar to those of Cryptomycota, Glomeromycota, and Microsporidia. In contrast to these neighbor phyla, predicted AGF proteomes are highly enriched in asparagine. Anaerobic gut fungi have the most GC depleted coding genomes of all fungi, complicating efforts to engineer AGF and their enzymes.
  • 2. Function-driven single-cell genomics uncovers cellulose-degrading bacteria from the rare biosphere Background • Assigning a functional role to a microorganism has historically relied on cultivation of isolates or detection of environmental genome-based biomarkers using a posteriori knowledge of function. However, the emerging field of function-driven single-cell genomics aims to expand this paradigm by identifying and capturing individual microbes based on their in situ functions or traits. Approach • We developed and benchmarked a function-driven single-cell screen for cellulase activity in uncultivated microbes, which we applied to a microbial community inhabiting the Great Boiling Spring (GBS) Geothermal Field, northwest Nevada. Outcomes and Impacts • Single bacterial cells that bound to the fluorescent cellulose probe were sorted and characterized by 16S rRNA and single cell sequencing. • Putative cellulases were identified by bioinformatics and screened using an in vitro assay and NIMS detection. • Along with well-characterized phyla, divergent cellulases encoded in the genome of a representative of a recently described candidate phylum from the rare biosphere, Goldbacteria, were identified and characterized. • We expect that this function-driven single-cell approach can be extended to a broad range of substrates, linking microbial taxonomy directly to in situ function.. Doud et al. (2019) ISME J, doi:10.1038/s41396-019-0557-y
  • 3. Evaluating protic ionic liquid for woody biomass one-pot pretreatment + saccharification, followed by Rhodosporidium toruloides cultivation Background • One-pot ionic liquid-based processes are a promising bioproduction strategy to reduce water consumption (removing the washing of biomass), reducing costs and minimizing the presence of inhibitory compounds. Approach • We evaluated the one-pot ionic liquid pretreatment + saccharification configuration as a scheme for the deconstruction and conversion of two different woody feedstocks, eucalyptus, and pine. • A comparative study of protic ionic liquids 2- hydroxylethylammonium acetate-based ionic liquids, bis-2- hydroxyethyl ammonium acetate ([2-HEA][OAc]), and cholinium lysinate ([Ch][Lys]) for pretreatment of eucalyptus and pine was conducted. Outcomes and Impacts • Protic ionic liquids were more effective in eucalyptus than in pine pretreatment and less toxic than cholinium lysinate at concentrations ≤10 % w/w. • 2-hydroxylethylammonium acetate yielded the highest digestibility, of up to 75% in eucalyptus. • This work is a starting point for further studies aimed at increasing cellulose digestibility in a one-pot configuration in the presence of protic ILs. Rigual et al. (2019) ACS Sustainable Chem. Eng., doi:10.1021/acssuschemeng.9b04451 Effect of pH adjustment on glucose and xylose consumption over the course of growth and production using R. toruloides in the presence of IL [2-HEA][OAc].
  • 4. Omics-driven identification and elimination of valerolactam catabolism in Pseudomonas putida KT2440 for increased product titer Background • Pseudomonas putida is a promising host for metabolic engineering due to its diverse catabolic range allowing for the valorization of lignin derivatives. • P. putida is also able to degrade or catabolize multiple lactams, important precursors to polymers such as nylon. This catabolism dramatically impacts titers in engineered strains. Approach • We utilized a combination of Random-Barcode Transposon Sequencing (RB-TnSeq), as well as shotgun proteomics to identify enzymes that hydrolyze lactams in P. putida. We then used this information to engineer more productive strains of lactam producing strains of P. putida. Outcomes and Impacts • RB-TnSeq validated that valerolactam is metabolized via the L- lysine catabolic pathway. • Shotgun proteomics identified that OplBA is likely responsible for lactam hydrolysis. • Knocking out oplBA in P. putida prevented the bacterium from growing on valerolactam, as well as preventing caprolactam hydrolysis in vivo. • Knocking out oplBA and other loci in P. putida increased valerolactam titers from 0 mg/L to ~90 mg/L after 48-hour fermentations with added L-lysine. Thompson et al. (2019) Metab Eng Commun. doi: 10.1016/j.mec.2019.e00098 Using a combination of RB-TnSeq and shotgun proteomics a lactam hydrolase was identified in P. putida (A). By eliminating the hydrolase and other pathways that compete for precursors valerolactam titer was significantly increased (B).
  • 5. Genome sequence of the model rice variety KitaakeX Background • Rice (Oryza sativa) provides food for more than half of the world’s population and also serves as a model for studies of biofuel crops such as sorghum and switchgrass • The Kitaake cultivar (ssp. japonica), which originated at the northern limit of rice cultivation in Hokkaido, Japan, has emerged as a model for rice research. It has a rapid life cycle (9 weeks seed to seed) and is easy to transform and propagate • KitaakeX, a Kitaake variety carrying the Xa21 immune receptor gene Jain et al. (2019) BMC Genomics, doi:10.1186/s12864-019-6262-4 Genome wide analysis of KitaakeX genome and its comparison with other rice varieties Approach • To obtain a high-quality, de novo genome assembly, we sequenced the KitaakeX genome using a strategy that combines short-read and long-read sequencing. Sequencing reads were collected using Illumina, 10x Genomics, PACBIO, and Sanger platforms at the Joint Genome Institute (JGI) and the HudsonAlpha Institute Outcomes • The assembled sequence contains 377.6 Mb, consisting of 33 scaffolds with a contig N50 of 1.4 Mb, covering a total of 99.67% of assembled bases in chromosomes • We predicted 35,594 protein-coding genes in the KitaakeX genome representing 31.5% genic space of the assembled genome size. • We found 331,335 variations between KitaakeX and Nipponbare and nearly 10 times as many (2,785,991) variations between KitaakeX and Zhenshan97 Significance • The high quality, de novo assembly of the KitaakeX genome will serve as a useful reference genome for rice and will accelerate functional genomics studies of rice and other monocotyledonous species such as sorghum. The early flowering rice variety KitaakeX
  • 6. Stochastic economic and environmental footprints of biodiesel production from Jatropha curcas Linnaeus in Nepal Background • Despite some initial failures, the required growing conditions for commercial success of Jatropha have now identified, which lead to a renewed commercial interest and necessitate a new and updated analysis. • This study considers a novel set of essential parameters specifics to geography, climate, soil conditions, and irrigation to determine commercially feasible land for Jatropha farming and documented a system level economic and environmental impacts analyses. Approach • We developed stochastic process models and quantified selling price and carbon footprint. • We determined suite of avenues to address the current global failure of Jatropha-based biodiesel plant. Outcomes and Impacts • A seed yield of >3.9 t/ha and a high oil content Jatropha variety (oil yield of >50 wt%) are required to achieve the selling price of biodiesel close to the current local price of the conventional diesel of $1/L. • Including the impacts from direct and indirect land use changes, the carbon footprint could reach below the conventional fuel equivalent by achieving a very high seed yield (>5 t/ha), using only marginal lands, and encouraging aggressive afforestation. • Results indicate the pathways and sensitivities for developing policies to enable the production of sustainable biodiesel from Jatropha. Baral et al. (2019) Renew. Sustain. Energy Rev., doi: 10.1016/j.rser.2019.109619 Minimum selling price of biodiesel Greenhouse gas emissions including direct land use changes