[转移贴]virology in the 21st century (21世纪的病毒学)

cao1976 · 发表于 2015-8-25 11:20:09

原贴由davay发表于 2009-11-29 01:52

本帖最后由 davay 于 2009-11-29 01:54 编辑

http://jvi.asm.org/cgi/reprint/JVI.00151-09v1
这篇文章是病毒学专业最顶级杂志Journal of Virology的主编写的一篇review.里面回顾拉,病毒学的发展，和展望.我觉得有用的是,说到下一代病毒学家,或者说病毒学工作者需要具备的素质.

TRAINING VIROLOGISTS FOR THE FUTURE

How can virologists take advantage of all of these new opportunities for scholarship
and application? To address this question, we must consider what constitutes optimum
training for virologists in the 21st century. Tomorrow’s advances will require a combination
of small, tightly focused groups and large, multidisciplinary teams. Traditional teams of basic
scientists working with clinicians will be augmented by mathematicians, physicists, and
population biologists, among others. Integrating new technology advances with classical
epidemiology and clinical approaches will not be a simple pedagogical exercise. Training the
next generation of scientists who can undertake this research will require more diverse course
offerings, enhanced training opportunities, especially involving interdisciplinary
collaboration and computational approaches, and instruction in teamwork. To facilitate
professional advancement, we will need to develop new strategies to recognize and reward
individual contributions to group scientific efforts as team science becomes more and more
prevalent.

Systems biology approaches, large-scale genetic screens, metagenomics of host and
viral genes from related viruses present a unique challenge for training. These approaches
will produce enormous amounts of information that will challenge our capacity to integrate it
into useful conceptual frameworks. Imaging technology will reveal the dynamics of
biological interactions at every level, yet produce huge sets of data that strain current systems
for information storage and retrieval. Methods to search, screen, recover, and use this
information will provide new avenues for discovery and require a new generation of
virologists with special expertise in computational methods and information technology.