Importantly, to our knowledge there are no studies which have, on a global scale, analysed miRNA expression in LC cells in relation to RT responsiveness.
We tested this hypothesis using global-scale analyses of ~1.4 million plant occurrences, including ~200,000 plant species across ~1,100 regions.
Furthermore, regional- to global-scale analyses will enable rapid determination of at-risk zones that would benefit from focused, local hazard and risk analysis studies.
Phylogenetic analyses showed patterns similar to recently reported global-scale analyses.
In the response to the editor's summary above, we describe our rationale for why we hope to keep the manuscript focused on the big picture or global-scale analyses.
There have been notable studies of biotic diversity at a regional scale (e.g. Heino et al., 2002; Pearson & Boyero, 2009) and at other taxonomic levels (e.g. genera; Vinson & Hawkins, 2003), but global-scale analyses that synthesize information across taxonomic groups remain limited in number.
On a global scale, whereas unsupervised analyses clearly distinguished normal and tumour tissues, no distinction between the transcriptomes of exposed and non-exposed samples was observed.
Previous studies investigating social and policy determinants' long-term effects on health outcomes on a global scale used regression analyses and data from a single time point to predict health outcomes at a single time point [ 10].
On a more global scale, early phylogenetic analyses of these genes acting collectively promoted the importance of HGT to explain their conservation in different bacterial lineages as well as multiple gene duplications and gene loss with vertical inheritance to understand the domain evolution of the PKS pathways [ 17– 20].
Thus far, the impact of supercoiling on gene transcription on a global scale has been analysed in Escherichia coli[ 10, 11], Haemophilus influenzae[ 12], Helicobacter pylori[ 13] and Streptococcus pneumoniae[ 14].
