PubMed Health⌕ Search

Biomedical subjects

Valeriy Poroyko

Publications and source records attributed to Valeriy Poroyko.

2 recordsLinked to original sources

Root growth maintenance during water deficits: physiology to functional genomics.

Progress in understanding the network of mechanisms involved in maize primary root growth maintenance under water deficits is reviewed. These include the adjustment of growth zone dimensions, turgor maintenance by osmotic adjustment, and enhanced cell wall loosening. The role of the hormone abscisic acid (ABA) in maintaining root growth under water deficits is also addressed. The research has taken advantage of kinematic analysis, i.e. characterization of spatial and temporal patterns of cell expansion within the root growth zone. This approach revealed different growth responses to water deficits and ABA deficiency in distinct regions of the root tip. In the apical 3 mm region, elongation is maintained at well-watered rates under severe water deficit, although only in ABA-sufficient roots, whereas the region from 3-7 mm from the apex exhibits maximum elongation in well-watered roots, but progressive inhibition of elongation in roots under water deficit. This knowledge has greatly facilitated discovery of the mechanisms involved in regulating the responses. The spatial resolution with which this system has been characterized and the physiological knowledge gained to date provide a unique and powerful underpinning for functional genomics studies. Characterization of water deficit-induced changes in transcript populations and cell wall protein profiles within the growth zone of the maize primary root is in progress. Initial results from EST and unigene analyses in the tips of well-watered and water-stressed roots highlight the strength of the kinematic approach to transcript profiling.

Adaptation, Physiological↗

Virtual-SAGE: a new approach to EST data analysis.

We present a computer program, termed V-SAGE (Virtual-SAGE), designed to facilitate the analysis of gene expression profiles by combining elements of SAGE (Serial Analysis of Gene Expression) with high-throughput EST analysis. The program re-iteratively correlates sequence tags adjacent to poly(A) tail sequence strings with a second or several tags located within the cDNA adjacent to the recognition sequences of frequently-cutting endonucleases. By recording tags and their distance, the program generates an expression profile from large numbers of sequences, groups sequences according to tags, and identifies alternatively spliced transcripts as well as transcripts that are characterized by 3'-UTR sequences of different length. We discuss the application of V-SAGE to a collection of corn root segment transcripts.

Algorithms↗