Using schema transformation pathways for data lineage tracing

With the increasing amount and diversity of information available on the Internet, there has been a huge growth in information systems that need to integrate data from distributed, heterogeneous data sources. Tracing the lineage of the integrated data is one of the problems being addressed in data warehousing research. This paper presents a data lineage tracing approach based on schema transformation pathways. Our approach is not limited to one specific data model or query language, and would be useful in any data transformation/integration framework based on sequences of primitive schema transformations

Evolutionary and functional characterization of Os-POLLUX, a rice gene orthologous to a common symbiosis gene in legume

Root symbioses with arbuscular mycorrhizal fungi and rhizobial bacteria share a common signaling pathway in legumes. Among the common symbiosis genes are CASTOR and POLLUX, the twin homologous genes in Lotus japonicus that encode putative ion channel proteins. Orthologs of CASTOR and POLLUX are ubiquitously present in both legumes and non-legumes, but their function in non-legumes remains to be elucidated. Here, we use reverse genetic approaches to demonstrate that the rice (Oryza sativa) ortholog of POLLUX, namely Os-POLLUX, is indispensible for mycorrhizal symbiosis in rice. Furthermore, we show that Os-POLLUX can restore nodulation, but not rhizobial infection, to a M. truncatula dmi1 mutant