Understanding molecular rules governing bacteriophage specificity and virulence by high-throughput mutational and metagenomic scanning
Understanding molecular rules governing bacteriophage specificity and virulence by high-throughput mutational and metagenomic scanning
批准号:
10317124
负责人:
Srivatsan Raman
金额:
$19.44万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-12-10 至 2023-11-30
关键词:
AdsorptionAffectAmino AcidsAntibiotic ResistanceBacterial Drug ResistanceBacteriophage T7BacteriophagesBinding ProteinsBiological AssayCaudoviralesClinicalCoupledDissectionDistalEngineeringEscherichia coliGene ProteinsGenesGenomeGenome engineeringHorizontal Gene TransferIndividualLearningLibrariesMediatingMetagenomicsMolecularMosaicismMutationNaturePatientsPlayPropertyResistanceRoleSamplingScanningSiteSpecificitySpeedSurfaceTechnologyTherapeuticTherapeutic UsesUrinary tract infectionVariantViralVirulencebacterial resistancecombatdeep sequencingdesigndesign-build-testexperimental studygain of functiongene functiongenetic approachgenome editingimprovedknowledgebasemetagenomemutantmutation screeningpathogenic Escherichia colipathogenic bacteriaprogramsprotein functionprototypereceptorreceptor bindingrecombinaseresistant strainscreeningsuccesssynthetic biologytherapeutic developmenttooltool development
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Bacteriophage therapy could be a promising solution to the antibiotic resistance crisis as evidenced by many
recent success stories. However, the use of natural phages has fundamental limitations in efficacy, reliability,
scalability and speed. Natural phages have lower efficacy due evolutionary constraints, give inconsistent results
in unwieldy cocktails, and discovery new phages when bacterial resistance arises is slow and laborious. We
propose a new framework by high-throughput precision genome engineering of natural phages (as chassis) to
create potent phage variants suitable for therapeutic applications. By combining pooled selection experiments
with deep sequencing, our approach samples the sequence space of targeted phage genes via systematic
mutational profiling and mines the rich diversity of metagenomic sequences to identify new functional variants.
The sequence-function knowledgebase from these experiments enhance our basic understanding of how
mutations affect phage function, and enable a design-build-test-learn platform for rapid design of new phages
against new and resistant bacterial strains. To implement this idea, we developed what we term as ORACLE
technology for generating large libraries of phage variants with pre-defined sequences at a target locus on the
phage genome using high-throughput recombinase-mediated genome editing and Cas9-guided enrichment.
ORACLE can be applied to diversify any phage gene. In this R21 application, we will characterize and engineer
receptor binding proteins (RBP) of T7 phage to elucidate sequence-function relationship and to eliminate
pathogenic E. coli known to cause urinary tract infection. RBP is the primary determinant of host range as it
mediates interaction between phage and host receptors. In Aim 1, we will use ORACLE to systematically dissect
the functional role of individual amino acids of T7 RBP (10,507 variants) to understand which residues are critical
for specificity, virulence and stability. Ig-like domains found at the distal tip of RBP play a key role in phage
adsorption and specificity, and are rampantly exchanged among Caudovirales phages. In Aim 2, we will
functionally screen ~25,000 Ig-like domains mined from viral metagenomes by replacing native T7 Ig-like domain
to investigate gain-of-function against new hosts. We will assay both libraries (point mutants and metagenomic
variants) against a panel of 82 clinical E. coli isolates found in patients with urinary tract infection to find T7
variants for potential therapeutic use. Our initial screens show T7 gain-of-function variants capable of infecting
and killing a spontaneously resistant clinical E. coli isolate from a patient with UTI that could not be killed by
wildtype. We envision the ORACLE technology platform as a standard tool for development and optimization of
chassis phages to target different bacterial clades, strain variants, and to rapidly develop countermeasures
against resistant strains.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.7554/elife.63775
发表时间:
2021-03-09
期刊:
eLife
影响因子:
7.7
作者:
[Huss P, Meger A, Leander M, Nishikawa K, Raman S]
通讯作者:
Raman S
DOI:
10.1021/acssynbio.1c00414
发表时间:
2022-01-21
期刊:
ACS SYNTHETIC BIOLOGY
影响因子:
4.7
作者:
[Chitboonthavisuk, Chutikarn, Luo, Chun Huai, Huss, Phil, Fernholz, Mikayla, Raman, Srivatsan]
通讯作者:
Raman, Srivatsan
海外基金