PLoS One. 2007 Dec 5;2(12):e1275. doi: 10.1371/journal.pone.0001275.
Faced with the recurrent evolution of resistance to pesticides and drugs, the scientific community has developed theoretical models aimed at identifying the main factors of this evolution and predicting the efficiency of resistance management strategies. The evolutionary forces considered by these models are generally similar for viruses, bacteria, fungi, plants or arthropods facing drugs or pesticides, so interaction between scientists working on different biological organisms would be expected. We tested this by analysing co-authorship and co-citation networks using a database of 187 articles published from 1977 to 2006 concerning models of resistance evolution to all major classes of pesticides and drugs. These analyses identified two main groups. One group, led by ecologists or agronomists, is interested in agricultural crop or stock pests and diseases. It mainly uses a population genetics approach to model the evolution of resistance to insecticidal proteins, insecticides, herbicides, antihelminthic drugs and miticides. By contrast, the other group, led by medical scientists, is interested in human parasites and mostly uses epidemiological models to study the evolution of resistance to antibiotic and antiviral drugs. Our analyses suggested that there is also a small scientific group focusing on resistance to antimalaria drugs, and which is only poorly connected with the two larger groups. The analysis of cited references indicates that each of the two large communities publishes its research in a different set of literature and has its own keystone references: citations with a large impact in one group are almost never cited by the other. We fear the lack of exchange between the two communities might slow progress concerning resistance evolution which is currently a major issue for society.
面对农药和药物抗性的反复演变，科学界已开发出理论模型，旨在确定这种演变的主要因素，并预测抗性管理策略的有效性。对于面临药物或农药的病毒、细菌、真菌、植物或节肢动物，这些模型所考虑的进化力量通常是相似的，因此可以预期从事不同生物有机体研究的科学家之间会有互动。我们通过使用一个包含1977年至2006年发表的187篇文章的数据库来分析共同作者和共同被引网络，对这一情况进行了测试。这些文章涉及针对所有主要类别的农药和药物的抗性进化模型。这些分析确定了两个主要群体。一个群体由生态学家或农学家领导，关注农作物或家畜的病虫害。它主要使用群体遗传学方法来模拟对杀虫蛋白、杀虫剂、除草剂、抗蠕虫药物和杀螨剂的抗性进化。相比之下，另一个群体由医学科学家领导，关注人类寄生虫，并且大多使用流行病学模型来研究对抗生素和抗病毒药物的抗性进化。我们的分析表明，还有一个小型科学群体专注于抗疟疾药物的抗性研究，并且与这两个较大的群体联系甚少。对被引参考文献的分析表明，这两个大群体中的每一个都在不同的文献集中发表其研究成果，并且有自己的关键参考文献：在一个群体中具有重大影响的引用几乎从未被另一个群体引用。我们担心这两个群体之间缺乏交流可能会减缓抗性进化方面的进展，而抗性进化目前是社会面临的一个重大问题。
