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	<title>CRISPR-Cas13 &#8211; Science</title>
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	<title>CRISPR-Cas13 &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>CRISPR-Cas13 Screens Reveal Hundreds of Long Non-Coding RNAs Cells Cannot Live Without</title>
		<link>https://scienmag.com/crispr-cas13-screens-reveal-hundreds-of-long-non-coding-rnas-cells-cannot-live-without/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 21:38:26 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[apoptosis]]></category>
		<category><![CDATA[cancer biomarkers]]></category>
		<category><![CDATA[CaRPool-seq]]></category>
		<category><![CDATA[cell cycle]]></category>
		<category><![CDATA[challenges in studying non-coding RNAs]]></category>
		<category><![CDATA[CRISPR-based gene silencing and activation]]></category>
		<category><![CDATA[CRISPR-Cas13]]></category>
		<category><![CDATA[CRISPR-Cas13 long non-coding RNA screening]]></category>
		<category><![CDATA[functional genomics]]></category>
		<category><![CDATA[functional importance of long non-coding RNAs]]></category>
		<category><![CDATA[gene screening]]></category>
		<category><![CDATA[genomic noise versus functional transcripts]]></category>
		<category><![CDATA[high-throughput RNA screening methods]]></category>
		<category><![CDATA[implications]]></category>
		<category><![CDATA[limitations of RNA interference for lncRNAs]]></category>
		<category><![CDATA[lncRNA]]></category>
		<category><![CDATA[low sequence conservation of lncRNAs]]></category>
		<category><![CDATA[non-coding RNA]]></category>
		<category><![CDATA[non-coding RNA involvement in development and disease]]></category>
		<category><![CDATA[Precision medicine]]></category>
		<category><![CDATA[RNA-targeting]]></category>
		<category><![CDATA[RNA-targeting CRISPR technology]]></category>
		<category><![CDATA[role of lncRNAs in cellular regulation]]></category>
		<category><![CDATA[single-cell transcriptomics]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=232122</guid>

					<description><![CDATA[A transcriptome-scale CRISPR-Cas13 screening platform called CaRPool-seq has identified 778 essential long non-coding RNAs in human cells, including 46 required for survival across all tested cell lines.]]></description>
										<content:encoded><![CDATA[<p>Roughly three-quarters of the human genome is transcribed into RNA, yet fewer than five percent of those sequences carry instructions for making proteins. The rest of this transcriptional output was once dismissed as genomic noise, but decades of research have revealed a sprawling cast of non-coding RNAs that help run the cell&#8217;s regulatory machinery. Among them, long non-coding RNAs, or lncRNAs, transcripts longer than 200 nucleotides that make up 80 to 90 percent of all non-coding RNA species, have emerged as major players in development, disease, and everyday cellular housekeeping. The trouble is that figuring out which of these thousands of transcripts actually matter has been extraordinarily difficult, and a new wave of RNA-targeting CRISPR technology is now changing that picture dramatically.</p>
<p>The central problem is technical. Unlike protein-coding genes, lncRNAs show low sequence conservation across species, are expressed at low levels, and often have complex structures that make them hard to detect, quantify, and manipulate. Traditional RNA interference, the workhorse of gene-silencing experiments for two decades, has been applied to only a small number of systematic lncRNA screens because of high costs, incomplete annotation, and limited scalability. CRISPR-based approaches such as CRISPR knockout, CRISPR interference, and CRISPR activation have filled some of the gap, but they share a fundamental limitation: they act on DNA. Because many lncRNAs are produced from overlapping or repetitive genomic regions, a single guide RNA aimed at the genome often fails to abolish the transcript. Complete knockout typically requires dual guide RNAs to create large deletions, or laborious monoclonal screening to generate homozygous knockout lines, all of which is inefficient, prone to off-target effects, and risks accidentally disrupting neighboring protein-coding genes.</p>
<p>To get around these obstacles, Neville E. Sanjana&#8217;s team developed CaRPool-seq, short for Cas13 RNA Perturb-seq, a transcriptome-scale screening platform built on CRISPR-Cas13. Unlike Cas9, which cuts DNA, Cas13 is an RNA-guided, RNA-targeting nuclease. Guide RNAs designed against a given transcript bind and silence it directly at the RNA level, leaving the underlying genome untouched. That single design change minimizes nonspecific DNA editing, reduces off-target interference, and makes it possible to knock down lncRNAs precisely and in parallel across thousands of targets at once. In effect, the platform converts the entire transcriptome into a druggable target space for functional screening.</p>
<p>The scale of the experiment is what makes it remarkable. The researchers mined lncRNA expression data from seven human organs sampled across 26 developmental stages, spanning everything from four weeks of gestation to late adulthood, and used that information to build a guide RNA library targeting 6,199 lncRNAs alongside 4,390 protein-coding genes. The library, comprising roughly 75,000 guide RNAs, was delivered into five human cell lines, HAP1, HEK293T, K562, MDA-MB-231, and THP1, using lentiviral vectors. The team then tracked the abundance of each guide RNA at days zero, seven, and fourteen after delivery. The logic is elegantly simple: if depleting a particular lncRNA harms the cell, cells carrying guides against that transcript will underperform, and those guides will become depleted from the population over time. A significant drop in guide abundance therefore signals that the targeted RNA is doing something the cell cannot live without.</p>
<p>The screen identified 778 lncRNAs that are essential for survival in at least one cell line. Of those, 46, including the well-known nuclear speckle transcript MALAT1 and the MIR17HG locus, proved essential across all five cell lines, a universality that suggests deeply conserved, core cellular functions. These universally essential lncRNAs shared several telling characteristics: they tended to be highly expressed, their function appeared conserved, and structurally they were predominantly antisense or bidirectional transcripts rather than isolated intergenic ones. That architectural bias hints that genomic context, the way a lncRNA sits relative to its neighbors on the DNA, may shape what these molecules do. Perhaps most intriguingly, most essential lncRNAs did not show significant co-expression with adjacent protein-coding genes, arguing that they act as functionally independent entities rather than byproducts of nearby gene activity, potentially operating through long-range or cross-regulatory mechanisms.</p>
<p>Comparing the essential lncRNAs with essential protein-coding genes revealed further surprises. Both classes were enriched among the guide RNAs showing the strongest depletion, confirming that the screen was genuinely detecting genes the cells depend on. But unlike essential protein-coding genes, essential lncRNAs tended to exert their effects at relatively low expression levels, meaning that scarcity does not equal insignificance in the RNA world. Functionally, when the researchers depleted these transcripts, cells primarily responded by undergoing apoptosis and losing normal cell-cycle progression, two hallmarks of a cell losing control of its most basic survival programs.</p>
<p>To move beyond survival phenotypes and understand what these lncRNAs are actually doing, the team integrated CaRPool-seq with single-cell transcriptome analysis, allowing them to read out the full gene-expression consequences of each knockdown in individual cells. This revealed that loss of essential lncRNAs impairs cell-cycle progression and promotes programmed cell death. Gene set enrichment analysis pointed to strong associations with the major proliferation-controlling pathways, including MYC, mTOR, p53, E2F, and the G2M checkpoint, and crucially, these effects were independent of changes in neighboring protein-coding genes. The essential lncRNAs also showed dynamic expression during development: they were highly expressed in early embryogenesis, downregulated as development proceeded, and enriched in proliferative tissues such as brain, heart, liver, and kidney. Their expression rose sharply during early stages of cell proliferation and declined later, consistent with a role in shepherding cells through growth phases.</p>
<p>The clinical implications emerged when the team turned to cancer. Analyzing roughly 9,000 tumor transcriptomes, they found that essential lncRNAs display aberrant expression signatures across cancers, co-express with known oncogenic drivers, and correlate with patient survival outcomes. Notably, essential lncRNAs showed greater expression variability in cancer cells than their non-essential counterparts, a pattern that underscores their potential role in tumor heterogeneity, the diversity of cell states within a tumor that makes many cancers so hard to treat. Because lncRNAs are often expressed in a tissue- and disease-specific manner, they are attractive candidates for biomarkers and for therapies that could, in principle, target cancer cells while sparing healthy tissue.</p>
<p>The study, published as an editorial commentary in Advanced Biotechnology, marks a significant advance in lncRNA biology by demonstrating that transcriptome-scale, RNA-targeting CRISPR-Cas13 screens can identify essential non-coding transcripts with high precision and scalability. The approach is not limited to lncRNAs; it can in principle be extended to other non-coding RNA classes, including microRNAs and circular RNAs, opening a systematic path to functional annotation of the entire non-coding transcriptome. Still, the field faces real challenges. The structural complexity of lncRNAs complicates guide RNA design, current libraries do not yet cover the full transcriptome, and downstream validation in disease-relevant models remains necessary before screening hits can be translated into the clinic.</p>
<p>Looking ahead, the authors argue that progress will depend on more sophisticated bioinformatics tools, potentially combining artificial intelligence with RNA structural modeling, to optimize guide design, reduce off-target effects, and push screens to even greater scale. If those improvements materialize, RNA-targeting CRISPR platforms like CaRPool-seq could accelerate the translation of lncRNA research into precision diagnostics and therapies, finally giving the dark matter of the genome the functional map it has long lacked.</p>
<p><strong>Subject of Research:</strong> Transcriptome-scale CRISPR-Cas13 screening to identify essential long non-coding RNAs in human cells</p>
<p><strong>Article Title:</strong> Uncovering essential lncRNAs through transcriptome-scale CRISPR-Cas13 screening</p>
<p><strong>Article References:</strong> Uncovering essential lncRNAs through transcriptome-scale CRISPR-Cas13 screening. (n.d.). <a href="https://doi.org/10.1007/s44307-025-00082-8" rel="noopener noreferrer">https://doi.org/10.1007/s44307-025-00082-8</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44307-025-00082-8" rel="noopener noreferrer">10.1007/s44307-025-00082-8</a></p>
<p><strong>Keywords:</strong> lncRNA, CRISPR-Cas13, CaRPool-seq, non-coding RNA, functional genomics, single-cell transcriptomics, RNA targeting, gene screening, apoptosis, cell cycle, cancer biomarkers, precision medicine</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">232122</post-id>	</item>
		<item>
		<title>Plant Viruses Already Carry Weapons That Can Blind CRISPR-Cas13</title>
		<link>https://scienmag.com/plant-viruses-already-carry-weapons-that-can-blind-crispr-cas13/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Wed, 30 Sep 2026 18:28:11 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[anti-CRISPR]]></category>
		<category><![CDATA[CRISPR-Cas13]]></category>
		<category><![CDATA[CRISPR-Cas13 RNA targeting]]></category>
		<category><![CDATA[CRISPR-Cas13 vulnerabilities]]></category>
		<category><![CDATA[guide-induced gene silencing]]></category>
		<category><![CDATA[guide-induced gene silencing (GIGS)]]></category>
		<category><![CDATA[HcPro]]></category>
		<category><![CDATA[impact of viral suppressors on CRISPR technology]]></category>
		<category><![CDATA[Nicotiana benthamiana]]></category>
		<category><![CDATA[P19]]></category>
		<category><![CDATA[plant biotechnology and gene editing]]></category>
		<category><![CDATA[plant virology]]></category>
		<category><![CDATA[plant virus evolution and immune evasion]]></category>
		<category><![CDATA[Plant virus suppression mechanisms]]></category>
		<category><![CDATA[RNA interference]]></category>
		<category><![CDATA[RNA interference in plants]]></category>
		<category><![CDATA[RNA interference machinery in plants]]></category>
		<category><![CDATA[RNA-based plant defense strategies]]></category>
		<category><![CDATA[Tomato bushy stunt virus]]></category>
		<category><![CDATA[transcript engineering]]></category>
		<category><![CDATA[Turnip mosaic virus]]></category>
		<category><![CDATA[viral proteins as anti-CRISPR factors]]></category>
		<category><![CDATA[viral suppressors of RNA silencing]]></category>
		<category><![CDATA[viral suppressors of RNAi]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=218070</guid>

					<description><![CDATA[Plant viral suppressors of RNA interference HcPro and P19 unexpectedly block both Cas13-independent and Cas13-mediated transcript silencing, revealing that viruses already possess anti-CRISPR-Cas13 activity.]]></description>
										<content:encoded><![CDATA[<p>CRISPR-Cas13 has rapidly become one of the most versatile tools in plant biotechnology, offering researchers the ability to target RNA molecules directly rather than editing the genome itself. Because Cas13 cleaves RNA rather than DNA, it promises flexible, reversible control of gene expression and a powerful new line of defense against plant RNA viruses. But a new study published in Stress Biology by Veerendra K. Sharma, Sandeep Marla, and David E. Cook of Kansas State University and Oregon State University reveals an unexpected vulnerability: proteins that plant viruses evolved long ago to defeat one RNA-silencing system can also defeat another. The viral suppressors of RNA interference known as HcPro and P19, the researchers found, block not only the plant&#8217;s native RNAi machinery but also CRISPR-Cas13-mediated transcript interference, effectively acting as anti-CRISPR factors.</p>
<p>The motivation behind the study was practical. Cas13 depends on a short guide RNA to find its target, but the team had previously discovered that these guides can silence transcripts even when the Cas13 protein is absent, a phenomenon they termed guide-induced gene silencing, or GIGS. This Cas13-independent silencing appears to hijack the plant&#8217;s endogenous RNA interference pathway, which processes small RNAs and uses them to direct silencing complexes to complementary sequences. Similar guide-only effects have been observed in human cell lines and mosquito cells, suggesting that Cas13-independent silencing is a widespread feature of eukaryotic cells rather than a plant-specific quirk. For biotechnologists, this is a problem: silencing that runs through RNAi rather than Cas13 is harder to control and more prone to off-target effects, undermining the precision that makes Cas13 attractive in the first place.</p>
<p>The researchers&#8217; initial hypothesis was elegant in its simplicity. Plant viruses face relentless pressure from host RNAi, the primary antiviral defense in plants, and in response nearly all characterized plant viruses encode viral suppressors of RNAi, or VSRs. These specialized proteins neutralize the silencing machinery through diverse mechanisms, including sequestering small interfering RNAs so they cannot assemble into active RISC complexes, or directly interacting with core RNAi components such as Dicer-like proteins, Argonautes, and RNA-dependent RNA polymerases. The team reasoned that if they co-expressed a VSR alongside Cas13 and its guide, the VSR would mop up the RNAi-mediated, Cas13-independent silencing while leaving the Cas13 protein itself untouched. The result would be clean, Cas13-dependent transcript knockdown free of background noise.</p>
<p>Reality proved messier. The team tested two well-characterized VSRs: HcPro, the helper component protease from Turnip mosaic virus (TuMV), and P19 from Tomato bushy stunt virus (TBSV). Their assay system used Nicotiana benthamiana leaves infiltrated with Agrobacterium carrying the relevant constructs, with a GFP-expressing TuMV as the target. A multiguide construct carrying three targeting sequences against the TuMV genome effectively reduced viral accumulation, visible as diminished GFP fluorescence, in both Cas13-independent and Cas13-mediated assays when a GUS control protein was co-expressed. But when HcPro was substituted for GUS, the picture changed dramatically. HcPro suppressed the expected Cas13-independent silencing, consistent with its known anti-RNAi function, yet it also crippled Cas13-mediated targeting, restoring GFP fluorescence to levels comparable to controls in which no targeting occurred at all.</p>
<p>The quantitative data underscored how potent this interference is. Western blotting and densitometric analysis showed that HcPro expression restored GFP accumulation by approximately 20 percent in the Cas13-independent assays, but produced a nearly sixfold increase in GFP accumulation when Cas13 was present. P19 told the same story: co-expression increased GFP accumulation by 33 percent in Cas13-independent assays and by 78 percent in Cas13-mediated assays. Control experiments confirmed that the effect was specific to targeting guides rather than a general effect on viral accumulation, and RT-PCR verified that Cas13 transcripts were present only in the Cas13-mediated assays, ruling out contamination as an explanation. Both suppressors, in other words, were not merely dampening background RNAi but actively dismantling the CRISPR effector&#8217;s ability to silence its target.</p>
<p>To determine whether this anti-Cas13 activity was limited to viral RNA or represented a broader antagonism of Cas13 function, the researchers turned to an endogenous plant transcript. They targeted phytoene desaturase, or PDS, a gene whose silencing produces a visually distinctive photobleaching phenotype and whose transcript levels can be measured precisely by quantitative PCR. When GUS was co-expressed with a PDS-targeting multiguide and Cas13, PDS transcripts dropped by roughly 60 percent. When HcPro or P19 was co-expressed instead, PDS transcript levels remained statistically indistinguishable from those seen with a non-targeting guide. Northern blotting with a PDS-specific probe independently confirmed that the transcript was stabilized in the presence of the viral suppressors. The inhibitory effect, therefore, extends beyond antiviral contexts to general mRNA targeting, establishing HcPro and P19 as genuine antagonists of Cas13 interference.</p>
<p>The mechanistic key came from a mutant. HcPro suppresses RNAi by binding and sequestering small interfering RNAs, preventing the assembly of active RISC complexes, and this binding depends on amino acids in the protein&#8217;s central domain. The AS9 mutations, previously characterized in HcPro, abolish siRNA-binding activity without destroying the protein outright. When the team expressed wild-type HcPro alongside Cas13 and the PDS-targeting guide, Cas13-mediated silencing was blocked as before. But the HcPro AS9 mutant failed to inhibit Cas13-mediated silencing, and PDS transcripts were knocked down just as efficiently as in the GUS controls. This result ties HcPro&#8217;s anti-CRISPR activity directly to its RNA-binding, silencing-suppression function, and points to a plausible mechanism: both RNAi and Cas13 rely on short guide RNAs complexed with a protein effector, and a suppressor that sequesters small double-stranded RNAs indiscriminately will intercept Cas13 guide RNAs just as readily as viral siRNAs.</p>
<p>The findings resonate with a broader story about anti-CRISPR proteins. Bacteriophages long ago evolved proteins that disable bacterial CRISPR-Cas immunity, through mechanisms ranging from blocking PAM recognition to mimicking crRNA structure, and recent work has identified anti-CRISPR factors specific to RNA-targeting Cas13 systems. Plant viruses have almost certainly never encountered selective pressure from bacterial CRISPR-Cas systems, yet this study shows they already possess Cas13-inhibitory capacity as a byproduct of their anti-RNAi arsenal. Intriguingly, previous reports of successful Cas13-mediated virus resistance in plants often targeted the viral suppressor sequences themselves, which may have skewed the arms race toward the plant by limiting VSR protein accumulation. Guides directed against HcPro provided stronger TuMV interference in the team&#8217;s earlier work than guides against other regions of the viral genome, and other studies found that targeting viral open reading frames other than VSRs yielded weaker resistance.</p>
<p>There is an important caveat, and it concerns timing. A previous study reported that transgenic potato plants expressing Cas13 targeting the Potato virus Y coat protein resisted PVY infection effectively, seemingly contradicting the idea that VSRs can defeat Cas13 during infection. But that same line lost its resistance under mixed infections with PVY plus Potato virus X or Potato virus S, which carry their own heterologous suppressors. In stably transformed plants, Cas13 and its guide are present before the virus arrives, allowing the Cas13-crRNA complex to form and strike early, before suppressors accumulate. In the transient assays of the new study, Cas13, guide, and VSR are delivered simultaneously, giving the suppressor a window to accumulate and block complex formation. The authors suggest that any scenario reducing Cas13-crRNA accumulation, whether through stress, developmental regulation, or co-infecting viruses, could similarly compromise resistance. The sobering takeaway is that plant viruses did not evolve to counter Cas13, yet they may already be primed to overcome engineered CRISPR-Cas13 antiviral defenses through suppressors refined over millions of years of warfare with RNAi, and viral variants with enhanced Cas13-inhibiting function could be selected in the field.</p>
<p><strong>Subject of Research:</strong> Inhibition of CRISPR-Cas13-mediated RNA targeting by plant viral suppressors of RNA interference</p>
<p><strong>Article Title:</strong> Plant viral suppressors HcPro and P19 inhibit CRISPR-Cas13-mediated transcript interference</p>
<p><strong>Article References:</strong> Sharma, V. K., Marla, S., &amp; Cook, D. E. (2026). Plant viral suppressors HcPro and P19 inhibit CRISPR-Cas13-mediated transcript interference. <em>Stress Biology, 6</em>(1), Article 69. <a href="https://doi.org/10.1007/s44154-026-00339-9" rel="noopener noreferrer">https://doi.org/10.1007/s44154-026-00339-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44154-026-00339-9" rel="noopener noreferrer">10.1007/s44154-026-00339-9</a></p>
<p><strong>Keywords:</strong> CRISPR-Cas13, viral suppressors of RNAi, HcPro, P19, guide-induced gene silencing, RNA interference, Turnip mosaic virus, Tomato bushy stunt virus, anti-CRISPR, plant virology, transcript engineering, Nicotiana benthamiana</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">218070</post-id>	</item>
		<item>
		<title>CRISPR-Cas13 Test Spots Three Quarantine Sugarcane Viruses Without Amplification</title>
		<link>https://scienmag.com/crispr-cas13-test-spots-three-quarantine-sugarcane-viruses-without-amplification/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Sat, 26 Sep 2026 22:38:41 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[Agricultural biotechnology]]></category>
		<category><![CDATA[amplification-free detection]]></category>
		<category><![CDATA[biosecurity in agriculture]]></category>
		<category><![CDATA[CRISPR-based plant disease testing]]></category>
		<category><![CDATA[CRISPR-Cas13]]></category>
		<category><![CDATA[CRISPR-Cas13 virus detection]]></category>
		<category><![CDATA[LwaCas13a]]></category>
		<category><![CDATA[molecular diagnostics]]></category>
		<category><![CDATA[molecular plant pathology]]></category>
		<category><![CDATA[multiplexed assay]]></category>
		<category><![CDATA[plant pathogen diagnostics without amplification]]></category>
		<category><![CDATA[plant pathology]]></category>
		<category><![CDATA[plant virus diagnostic methods]]></category>
		<category><![CDATA[quarantine virus identification]]></category>
		<category><![CDATA[rapid virus detection in crops]]></category>
		<category><![CDATA[RNA viruses]]></category>
		<category><![CDATA[RNA-targeting CRISPR assays]]></category>
		<category><![CDATA[SHERLOCK CRISPR technology in crop protection]]></category>
		<category><![CDATA[Sugarcane mosaic and streak mosaic viruses]]></category>
		<category><![CDATA[Sugarcane mosaic virus]]></category>
		<category><![CDATA[Sugarcane streak mosaic virus]]></category>
		<category><![CDATA[sugarcane viral pathogens]]></category>
		<category><![CDATA[sugarcane viruses]]></category>
		<category><![CDATA[Sugarcane yellow leaf virus]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=216817</guid>

					<description><![CDATA[Researchers have developed an amplification-free CRISPR-Cas13 assay that detects and distinguishes three quarantine-significant sugarcane viruses directly from plant RNA with a limit of detection of about 1.5 picomolar.]]></description>
										<content:encoded><![CDATA[<p>Sugarcane is the most cultivated crop in the world by volume, underpinning an industry that produces roughly 179 million metric tons each year and supplying far more than sweeteners, from biofuels to building materials. Yet the crop remains acutely vulnerable to viral pathogens that can quietly strip away yield, with some fields reporting losses of up to 80 percent even in elite, supposedly resistant cultivars. Three viruses classified as quarantine-significant—Sugarcane mosaic virus (ScMV), Sugarcane streak mosaic virus (ScSMV), and Sugarcane yellow leaf virus (ScYLV)—are among the worst offenders, spreading rapidly through aphid vectors and the trade of infected planting material, often without showing symptoms until damage is already done. A research team led by Joseph Lagner and Yiping Qi at the University of Maryland, working with the USDA Animal and Plant Health Inspection Service, now reports a CRISPR-based diagnostic that can detect and distinguish all three viruses directly from plant RNA in a single assay, without any pre-amplification step.</p>
<p>The new assay, described in Plant Cell Reports, relies on LwaCas13a, a type VI CRISPR effector protein originally harnessed for human pathogen detection in the SHERLOCK platform. Unlike Cas9 or Cas12, Cas13 targets RNA rather than DNA and does not require a protospacer adjacent motif, which simplifies guide design considerably. Once the protein&#8217;s CRISPR RNA guide finds a complementary viral sequence, the enzyme undergoes a conformational change that unleashes indiscriminate collateral cleavage of nearby single-stranded RNA. The researchers exploit this behavior with a fluorescent reporter oligonucleotide carrying a FAM fluorophore on one end and a quencher on the other; cleavage separates the two molecules, producing a measurable rise in fluorescence that signals a positive detection.</p>
<p>To build the test, the team obtained sequence data for all three viruses from the USDA-APHIS Plant Germplasm Quarantine Program in Maryland and aligned the genomes using the MUSCLE algorithm in Geneious Prime software. They designed five candidate 28-nucleotide crRNA target sites for each virus and screened every candidate against the NCBI BLAST database to rule out off-target matches to related viruses, host plant genetic material, or other organisms associated with sugarcane production. The reverse complements of the selected sites were appended to the LwaCas13a direct repeat sequence to generate functional guide RNAs, which were then synthesized commercially.</p>
<p>Because working with quarantine pathogens requires specialized containment, the team first validated the assay using synthetic pseudo-virus targets. They embedded the five 28-nucleotide target sequences for each virus into 700-base-pair synthetic DNA constructs separated by scrambled sequences, placed under a T7 promoter, and produced single-stranded RNA by in vitro transcription. Serial log dilutions of these RNA targets established the limit of detection, which varied among target sites but reached approximately 1.5 picomolar at its best. The top-performing guides were site 5 on ScMV, site 3 on ScSMV, and site 1 on ScYLV. The authors note that this sensitivity represents roughly a tenfold improvement over a recent report of amplification-free Cas13 detection of plant viruses, although they caution that the intrinsic enzyme kinetics of Cas13 still limit how low the detection floor can go without pre-amplification.</p>
<p>A key feature of the platform is its multiplexing capacity. In a cross-reactivity matrix, the researchers combined every pseudo-virus target with every crRNA and found that fluorescence rose only when a viral target matched its corresponding guide, with matched wells producing relative fluorescence units between roughly 39,000 and 60,000 compared with 4,500 to 8,100 for mismatched combinations. Strikingly, after just 15 to 20 minutes the fluorescent signal was strong enough to be visible with a standard gel documentation reader, an instrument not designed for such measurements. This strict specificity means a single microplate can screen a sample for any of the three viruses in one multiplexed well while simultaneously running simplex wells for each virus individually, yielding both detection and genotyping in one run.</p>
<p>The decisive test came with real plant material. Working inside the USDA-APHIS quarantine facility, the team extracted bulk RNA from infected sugarcane and sorghum plants—sorghum serving as an alternative host for ScMV—using the same commercial kit employed by the agency&#8217;s own diagnosticians. They first benchmarked the samples with five conventional RT-PCR protocols, including genus-level potyvirus assays and two separate primer sets for ScYLV that exist because of that virus&#8217;s considerable genetic diversity. The CRISPR assay then processed the same extracts directly, with no dilution and no cDNA synthesis step, reading fluorescence over a two-hour run at 37 degrees Celsius.</p>
<p>The two methods broadly agreed, but the discrepancies proved illuminating. A sorghum sample called Rio tested positive in the generic Potyvirus RT-PCR protocols, but only the CRISPR assay—and a follow-up sequencing step—could pin the infection specifically on ScMV, since the conventional protocols detect the genus rather than the species. Another sorghum sample, Z1536, produced signals above threshold for all three viruses in the CRISPR assay while remaining negative or ambiguous by RT-PCR, and sugarcane sample Z1502, which showed no RT-PCR bands at all, yielded a clear CRISPR positive for ScYLV. The authors attribute such gaps to several factors: low or seasonally fluctuating viral titers, mutations at primer binding sites that can silence PCR amplification, the added variability of the two-step cDNA-plus-amplification workflow, and possible weak cross-reactivity of the Poty2 primer set with ScSMV observed in sample Z1501.</p>
<p>Beyond speed, the platform offers practical advantages for diagnostic laboratories. The conventional workflow requires five separate RT-PCR protocols, each with cDNA preparation and post-amplification gel electrophoresis, and a skilled technician might need a day or two to fully characterize even one sample. The CRISPR assay completes detection and virus identification in four hours or less for high-titer infections, on a single plate, with fewer handling steps and correspondingly fewer opportunities for contamination. The fluorescence-based readout also provides a semi-quantitative measure of viral load, whereas conventional RT-PCR as performed here is essentially a presence-or-absence test. To guard against false positives from natural degradation of the RNA reporter during the long incubation, the team set a conservative threshold of three standard deviations above the mean of background-subtracted negative control values.</p>
<p>The researchers are candid about the method&#8217;s limits. At roughly 1.5 picomolar, the sensitivity may not suffice for very early or light infections, where RT-PCR or an added pre-amplification step would still be needed, and the study was constrained by a limited number of infected samples, leaving more rigorous statistical benchmarking on larger field collections as the obvious next step. Still, because the assay needs only a single conserved target region per virus—rather than the paired primer sites PCR demands—and Cas13 requires no PAM, redesigning guides as viruses evolve is straightforward. The team envisions extending the approach with kinetic barcoding for richer multiplexing, engineered guides for greater specificity, and enhanced collateral cleavage activity, ultimately expanding the panel to many more pathogens and molecular markers.</p>
<p>For an industry in which viruses can account for more than half of yield reduction and global commerce in planting material keeps introducing quarantine pathogens to new regions, a rapid, amplification-free test that names its target within hours could materially change surveillance practice. The authors suggest that, equipped with cold storage and a suitable plate reader, the workflow could even be adapted into field-deployable diagnostics, offering a way to catch outbreaks early enough to contain them before the damage reaches the mill—or the next season&#8217;s seed cane.</p>
<p><strong>Subject of Research:</strong> Amplification-free CRISPR-Cas13 detection of quarantine-significant sugarcane RNA viruses</p>
<p><strong>Article Title:</strong> CRISPR-Cas13-based amplification-free detection of three quarantine-significant sugarcane viruses</p>
<p><strong>Article References:</strong> Lagner, J., Paulson, A., Schulden, T., Adhikari, B., Koob, J., Vakulskas, C., &amp; Qi, Y. (2026). CRISPR-Cas13-based amplification-free detection of three quarantine-significant sugarcane viruses. <em>Plant Cell Reports, 45</em>(10), Article 307. <a href="https://doi.org/10.1007/s00299-026-03994-4" rel="noopener noreferrer">https://doi.org/10.1007/s00299-026-03994-4</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00299-026-03994-4" rel="noopener noreferrer">10.1007/s00299-026-03994-4</a></p>
<p><strong>Keywords:</strong> CRISPR-Cas13, LwaCas13a, sugarcane viruses, Sugarcane mosaic virus, Sugarcane streak mosaic virus, Sugarcane yellow leaf virus, plant pathology, molecular diagnostics, amplification-free detection, multiplexed assay, RNA viruses, agricultural biotechnology</p>
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