Are ethical explanations explanatory? Meta-ethical beliefs shape judgments about explanations for social change.

Why were women given the right to vote? "Because it is morally wrong to deny women the right to vote." This explanation does not seem to fit the typical pattern for explaining an event: rather than citing a cause, it appeals to an ethical claim. Do people judge ethical claims to be genuinely explanatory? And if so, why? In Studies 1 (N = 220) and 2 (N = 293), we find that many participants accept ethical explanations for social change and that this is predicted by their meta-ethical beliefs in moral progress and moral principles, suggesting that these participants treat morality as a directional feature of the world, somewhat akin to a causal force. In Studies 3 (N = 513) and 4 (N = 328), we find that participants recognize this relationship between ethical explanations and meta-ethical commitments, using the former to make inferences about individuals' beliefs in moral progress and moral principles. Together these studies demonstrate that our beliefs about the nature of morality shape our judgments of explanations and that explanations shape our inferences about others' moral commitments.

Transcription profile analyses identify genes and pathways central to root cap functions in maize.

Affymetrix GeneChips arrayed with about one-half (~23K) of the rice genes were used to profile gene transcription activity in three tissues comprising the maize root tip; the proximal meristem (PM), the quiescent center (QC), and the root cap (RC). Here we analyze the gene transcription profile of the RC, compared to both the PM and the QC, from three biological replicates. In the RC, a total of 669 genes were identified as being differentially upregulated, and 365 differentially downregulated. Real-time quantitative RT-PCR analysis was used to confirm upregulated genes in the RC. In addition, using the technique of laser microdissection (LMD) we localized upregulated gene expression to the lateral RC cells. Taken as a whole, transcription profile analyses revealed the upregulation in the maize RC of clusters of genes linked to major metabolic processes and pathways, including: (1) transport, both the export of carbohydrates and the uptake of nutrients; (2) sensing and responding to (often stressful) biotic and abiotic environmental stimuli; (3) integrating the responses of at least 3 major growth regulators (auxin, ethylene, jasmonic acid); (4) processing the large amount of carbohydrate transported into the RC. Although the profile data are derived using heterologous rice GeneChips, with about half of the total rice gene set, this study, nevertheless, provides a genomic scale characterization of the entire RC, and serves as a new platform from which to advance studies of the network of pathways operating in the maize RC.