Department of Crop Physiology, University of Agricultural Sciences, GKVK, Bangalore 560 065, India.
Curr Drug Targets. 2011 Oct;12(11):1515-30. doi: 10.2174/138945011798109473.
Biological diversity and its constituent chemical diversity have served as one of the richest sources of bioprospecting leading to the discovery of some of the most important bioactive molecules for mankind. Despite this excellent record, in the recent past, however, bioprospecting of biological resources has met with little success; there has been a perceptible decline in the discovery of novel bioactive compounds. Several arguments have been proposed to explain the current poor success in bioprospecting. Among them, it has been argued that to bioprospect more biodiversity may not necessarily be productive, considering that chemical and functional diversity might not scale with biological diversity. In this paper, we offer a critique on the current perception of biodiversity and chemodiversity and ask to what extent it is relevant in the context of bioprospecting. First, using simple models, we analyze the relation among biodiversity, chemodiversity and functional redundancies in chemical plans of plants and argue that the biological space for exploration might still be wide open. Second, in the context of future bioprospecting, we argue that brute-force high throughput screening approaches alone are insufficient and cost ineffective in realizing bioprospecting success. Therefore, intelligent or non-random approaches to bioprospecting need to be adopted. We review here few examples of such approaches and show how these could be further developed and used in the future to accelerate the pace of discovery.
生物多样性及其组成的化学多样性一直是生物勘探的最丰富来源之一,为人类发现了一些最重要的生物活性分子。尽管有这样出色的记录,但在最近,生物资源的生物勘探却收效甚微;新的生物活性化合物的发现明显减少。为了解释当前生物勘探成功率低的问题,人们提出了几种论点。其中有人认为,考虑到化学和功能多样性可能不会与生物多样性成比例,更多地勘探生物多样性不一定具有生产力。在本文中,我们对当前关于生物多样性和化学生物多样性的看法提出了批评,并探讨了在生物勘探背景下,这种看法在多大程度上是相关的。首先,我们使用简单的模型分析了植物的化学方案中的生物多样性、化学生物多样性和功能冗余之间的关系,并认为仍有很大的探索空间。其次,在未来的生物勘探背景下,我们认为仅仅依靠盲目筛选的高通量筛选方法在实现生物勘探成功方面既不充分也不经济,因此需要采用智能或非随机的生物勘探方法。在这里,我们回顾了一些这样的方法的例子,并展示了如何进一步开发和利用这些方法,以加快发现的步伐。