Disorder prediction methods, their applicability to different protein targets and their usefulness for guiding experimental studies

The role and function of a given protein is dependent on its structure. In recent years, however, numerous studies have highlighted the importance of unstructured, or disordered regions in governing a protein’s function. Disordered proteins have been found to play important roles in pivotal cellular functions, such as DNA binding and signalling cascades. Studying proteins with extended disordered regions is often problematic as they can be challenging to express, purify and crystallise. This means that interpretable experimental data on protein disorder is hard to generate. As a result, predictive computational tools have been developed with the aim of predicting the level and location of disorder within a protein. Currently, over 60 prediction servers exist, utilizing different methods for classifying disorder and different training sets. Here we review several good performing, publicly available prediction methods, comparing their application and discussing how disorder prediction servers can be used to aid the experimental solution of protein structure. The use of disorder prediction methods allows us to adopt a more targeted approach to experimental studies by accurately identifying the boundaries of ordered protein domains so that they may be investigated separately, thereby increasing the likelihood of their successful experimental solution.

Sparta and the English Republic

In 1659-60, James Harrington and Henry Stubbe, two republican authors, engaged in a bad-tempered pamphlet debate about the constitution of classical Sparta. This took place in the context of political collapse after the fall of the Cromwellian Protectorate, as republicans desperately attempted to devise safeguards which could prevent the return of monarchy. Questions of constitutional form were not always at the forefront of 1650s English republicanism, but Harrington’s ideal constitution of ‘Oceana’ brought these questions to the fore in 1659’s discussions. Sparta formed a key plank of the ‘ancient prudence’ which supported Harrington’s theory, and like Stubbe he drew on Nicolaus Cragius’ De Republica Lacedaemoniorum (1593) for evidence, and was attracted to some of the more apparently ‘aristocratic’ elements of the Spartan constitution. However, classical texts and modern scholarly authority, such as Cragius’, were not the only ingredients in the English version of the ‘classical republican’ tradition; sixteenth- and seventeenth-century political thinkers and current exigencies also shaped Harrington and Stubbe’s arguments. Both Harrington and Stubbe ended up challenging the scholarly and ancient consensus that Sparta was an aristocracy or mixed polity, Harrington reinterpreting it to assimilate it to ‘democracy’, and Stubbe attempting to rehabilitate a model of benign ‘oligarchy’.

Striking a balance: cultural conflicts or cultural adaptation

This paper explores the cultural representations embedded in the EFL textbooks for Primary English language education in China. In particular, it examines how cultural globalisation and localisation are competing with each other as the educational policy in English attempts to strike a balance between the local culture and ‘western’ culture. Using discourse analysis as an analytical framework, this paper argues that culture as a social construct is constantly evolving and traditions are fused with new cultural values and worldviews brought about by globalisation. As such, the analysis of the textbooks illustrates that culture as a social phenomenon has changed over the decades and glocalisation is gaining new perspectives in English language education in China. Importantly, the analysis shows that new cultural elements have been established and cultural globalisation has taken place when local culture adapt ‘foreign’ cultures to suit local needs. Acknowledging that there are cultural conflicts and competing ideologies in the texts, the paper argues that these conflicts and contradictories can be used to develop students’ critical language awareness and foster their critical analytical abilities. Importantly, the analysis can facilitate the students’ English language learning by providing them with opportunities to read beyond texts per se to cultural politics and practices. Juxtaposing different cultural and ideological perspectives can help students understand that cultural values are socially and politically constructed when they are confronted with complex linguistic and cultural environments in reality.

Fighting in fig wasps: do males avoid killing brothers or do they never meet them?

1. In many fig wasp species, armoured wingless males regularly engage in lethal fights for access to females inside figs, which act as discrete mating patches. 2. Kin selection generally opposes killing brothers, because their reproductive success provides indirect genetic benefits (inclusive fitness). However, siblicide may be avoided if (i) brothers do not occur in the same figs, or (ii) males avoid fighting brothers in the same fig. Alternatively, (iii) siblicide may occur because intense mate competition between brothers at the local scale overcomes kin selection effects, or (iv) males do not recognise kin. 3. A fig may also contain wasps from other closely related species and it is not known if males also fight with these individuals. 4. Nine microsatellite loci were used in the first genetic analysis of fighting in fig wasps. We assigned species and sibling identities to males and tested alternative fighting scenarios for three Sycoscapter wasp species in figs of Ficus rubiginosa. 5. Approximately 60% of figs contained males frommore than one Sycoscapter species and approximately 80% of fights were between conspecifics, but a surprising 20% were between heterospecific males. 6.Within species, fewfigs contained brothers, suggesting that females typically lay one son per fig. Overall, most males do not compete with brothers and all fights observed were between unrelated males. Key words:Competition, fighting, genetics, kin selection, microsatellites, relatedness.