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Plant viruses infect many economically important crops, including wheat, cotton, maize, cassava, and other vegetables. These viruses pose a serious threat to agriculture worldwide, as decreases in cropland area per capita may cause production to fall short of that required to feed the increasing world population. Under these circumstances, conventional strategies can fail to control rapidly evolving and emerging plant viruses. Genome-engineering strategies have recently emerged as promising tools to introduce desirable traits in many eukaryotic species, including plants. Among these genome engineering technologies, the CRISPR (clustered regularly interspaced palindromic repeats)/CRISPR-associated 9 (CRISPR/Cas9) system has received special interest because of its simplicity, efficiency, and reproducibility. Recent studies have used CRISPR/Cas9 to engineer virus resistance in plants, either by directly targeting and cleaving the viral genome, or by modifying the host plant genome to introduce viral immunity. Here, we briefly describe the biology of the CRISPR/Cas9 system and plant viruses, and how different genome engineering technologies have been used to target these viruses. We further describe the main findings from recent studies of CRISPR/Cas9-mediated viral interference and discuss how these findings can be applied to improve global agriculture. We conclude by pinpointing the gaps in our knowledge and the outstanding questions regarding CRISPR/Cas9-mediated viral immunity.

Keywords: plant virus, CRISPR/Cas9, genome engineering, geminivirus, virus resistance.

In the context of the rapidly growing global population, food security has emerged as one of the major challenges facing our generation (Cheeseman, 2016). The global population has increased by 60%, but per capita production of grains has fallen worldwide in the last 20 years (Suweis et al., 2015). If the population growth rate, which is 1.13 percent per year for 20161 persists, the world population will double again within a mere 50 years, and it is estimated that food production will need to at least double till 2050 to meet demand (Suweis et al., 2015). Increases in food production per unit of land have not kept pace with increases in population and cropland area per capita has fallen by more than half since 1960 (Cheeseman, 2016).

Are you fascinated with microbiology? Have you ever thought about how to integrate your passion for research and entrepreneurship? The field of microbiology is expanding and being significantly impacted by advancements in technology. Recently, we interviewed Zack Abbott, Ph.D., who is the co-founder of ZBiotics. Zack explained his journey from studying infectious diseases to starting his own business focused on engineering bacteria for positive results. If you’ve ever wondered how you can be on the cutting edge of life sciences research, while working for yourself, read on about Zack’s experience.

1. Can you tell us a little bit about your background before entering the microbiology field?

I did my undergrad at UC Berkeley, where I double-majored in Molecular and Cell Biology and Classical History. I did not leave college thinking I would be a microbiologist. I wasn’t actually sure what I wanted to do, and so I tried out a few different jobs. Eventually, while gaining experience as a research assistant in an HIV lab at UC Davis, I realized that I would be happy with a career in infectious disease.

Summary: Tufts researchers have developed neurotransmitter-lipid hybrids that help transport therapeutic drugs and gene editing proteins across the blood-brain barrier in mice.

Source: Tufts University

Biomedical engineers at the Tufts University School of Engineering have developed tiny lipid-based nanoparticles that incorporate neurotranmitters to help carry drugs, large molecules, and even gene editing proteins across the blood-brain barrier and into the brain in mice. The innovation, published today in Science Advances, could overcome many of the current limitations encountered in delivering therapeutics into the central nervous system, and opens up the possibility of using a wide range of therapeutics that would otherwise not have access to the brain.

Proteins are essential to the life of cells, carrying out complex tasks and catalyzing chemical reactions. Scientists and engineers have long sought to harness this power by designing artificial proteins that can perform new tasks, like treat disease, capture carbon, or harvest energy, but many of the processes designed to create such proteins are slow and complex, with a high failure rate.

In a breakthrough that could have implications across the healthcare, agriculture, and energy sectors, a team lead by researchers in the Pritzker School of Molecular Engineering (PME) at the University of Chicago has developed an -led process that uses big data to design new proteins.

By developing machine-learning models that can review protein information culled from genome databases, the researchers found relatively simple design rules for building . When the team constructed these artificial proteins in the lab, they found that they performed chemistries so well that they rivaled those found in nature.

A blood test has been shown to detect five types of cancer years before the diseases could be spotted using conventional diagnostic methods, according to a study published Tuesday.

Developed by a Sino-US startup, the test found cancers in 91 percent of people who showed no symptoms when the blood sample was collected but were diagnosed one-to-four years later with stomach, esophageal, colon, lung or liver cancer, researchers reported in Nature Communications.

“The immediate focus is to test people at higher risk, based on family history, age or other known risk factors,” said co-author Kun Zhang, head of the bioengineering department at the University of California San Diego and an equity holder in Singlera Genomics, which developed the test.

I hope they get funding.


SAN DIEGO — The average American lives to be around 75 or 80 years old; but if you had an opportunity to slow down the aging process and live an extra couple of decades would you take it? It’s a loaded question, strife with philosophical, religious, and societal considerations. Humans have pondered the possibilities of extended, or even immortal, life for as long as we’ve inhabited this planet. But at the end of the day it’s all just a daydream, right?

Not necessarily, according to new research out of the University of California, San Diego. The study, led by UCSD molecular biologists and bioengineers, produced a groundbreaking discovery regarding the intricacies of cellular aging. In light of their findings, researchers say the notion of “dramatically” extending human life isn’t so farfetched after all.

Each human’s lifespan and personal rate of aging is determined by the aging of their individual cells. Originally, the study’s authors just wanted to investigate if different types of cells age at different speeds based on different stimuli/causes. To that end, they studied aging in the budding yeast Saccharomyces cerevisiae. This provided a suitable model with which to track aging mechanisms of various cell types.

Aging/longevity link!


Molecular biologists and bioengineers at the University of California San Diego have unraveled key mechanisms behind the mysteries of aging. They isolated two distinct paths that cells travel during aging and engineered a new way to genetically program these processes to extend lifespan.

The research is described July 17 in the journal Science.

Our lifespans as humans are determined by the aging of our individual . To understand whether different cells age at the same rate and by the same cause, the researchers studied aging in the budding yeast Saccharomyces cerevisiae, a tractable model for investigating mechanisms of aging, including the aging paths of skin and .

The CRISPR-Cas9 gene editing system is an extremely powerful tool, but there are still a few kinks to iron out. One of the main problems is off-target edits, which can have serious consequences. Now, researchers have found a particular mutation of the CRISPR enzyme that’s almost 100 times more precise than the most commonly used one.

CRISPR gene-editing is based on a bacterial defense system, in which the bugs use a particular enzyme to snip out a section of a pathogen’s DNA and store it for future reference. Next time that pathogen is encountered, the system will recognize it and be better equipped to fight it off.

Scientists managed to co-opt this system as a handy genetic engineering tool. CRISPR-Cas9 uses this mechanism to scour a target’s genome for a specific sequence of DNA – say one that could cause disease – then cut it out, sometimes replacing it with a more beneficial sequence.