Forest Research Institute

About: Forest Research Institute is a facility organization based out in Dehra Dūn, India. It is known for research contribution in the topics: Population & Forest management. The organization has 5320 authors who have published 7625 publications receiving 185876 citations.

Molecular phylogeny of Dipterocarpaceae in Southeast Asia using RFLP of PCR-amplified chloroplast genes.

Abstract: Dipterocarpaceae is the dominant family of Southeast Asia's climax tropical rain forest region, and it contains the region's most important commercial timber species. A molecular phylogeny of the Dipterocarpaceae subfamily Dipterocapoideae was constructed using restriction fragment length polymorphisms of polymerase chain reaction-amplified specific genes in chloroplast DNA. A total of 141 site changes were detected among ten genera and 30 species in 11 different genes: rbcL, psbA, psbD, rpoB, rpoC, petB, atpH, 16S, psaA, petA and trnK. Phylogenetic trees constructed by Wanger parsimony and neighbor-joining methods, using Upuna as the outgroup, displayed five monophytelic groups that included Upuna: HopeaShorea-Parashorea-Neobalanocarpus; Dryobalanops; Dipterocarpus; Anisoptera-Vatica-Cotylelobium; and Upuna. The phylogenetic trees clearly separate species with two different base chromosome numbers: the first group is x=7, and the other is x=11. The x=7 group is thought to be in a synapomorphic character state. Parashorea lucida is a sister to most Shorea species. Neobalanocarpus heimii and Hopea from a clade of a sister to two Shorea species, and Cotylelobium and Vatica are closely related species. Our conclusions agree with a phylogeny derived from wood anatomy data analysis, and with Symington's and Ashton's taxonomic classifications.

Diversity of Arbuscular Mycorrhizal Fungi and Their Roles in Ecosystems

Abstract: Arbuscular mycorrhizal fungi (AMF) have mutualistic relationships with more than 80% of terrestrial plant species. This symbiotic relationship is ancient and would have had important roles in establishment of plants on land. Despite their abundance and wide range of relationship with plant species, AMF have shown low species diversity. However, molecular studies have suggested that diversity of these fungi may be much higher, and genetic variation of AMF is very high within a species and even within a single spore. Despite low diversity and lack of host specificity, various functions have been associated with plant growth responses to arbuscular mycorrhizal fungal colonization. In addition, different community composition of AMF affects plants differently, and plays a potential role in ecosystem variability and productivity. AMF have high functional diversity because different combinations of host plants and AMF have different effects on the various aspects of symbiosis. Consequently, recent studies have focused on the different functions of AMF according to their genetic resource and their roles in ecosystem functioning. This review summarizes taxonomic, genetic, and functional diversities of AMF and their roles in natural ecosystems.

Stiffness prediction of radiata pine clearwood test pieces using near infrared spectroscopy

Abstract: Near infrared (NIR) spectroscopy has been used to predict the modulus of elasticity (stiffness) of samples taken from knot-free sapwood specimens of radiata pine (Pinus radiata D. Don). The method shows the potential of using NIR spectroscopy for assessment of lumber stiffness. A model based on NIR spectra taken on the radial face of 404 samples of radiata pine clearwood was established to predict stiffness. Samples were moved past the detector at a rate of 900 mm min –1 . This model then was used to predict the stiffness of a further 80 samples and the results show an error in prediction of 14% of the mean measured value.

Proteome analysis of soybean roots under waterlogging stress at an early vegetative stage

Abstract: To gain better insight into how soybean roots respond to waterlogging stress, we carried out proteomic profiling combined with physiological analysis at two time points for soybean seedlings in their early vegetative stage. Seedlings at the V2 stage were subjected to 3 and 7 days of waterlogging treatments. Waterlogging stress resulted in a gradual increase of lipid peroxidation and in vivo H2O2 level in roots. Total proteins were extracted from root samples and separated by two-dimensional gel electrophoresis (2-DE). A total of 24 reproducibly resolved, differentially expressed protein spots visualized by Coomassie brilliant blue (CBB) staining were identified by matrix assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry or electrospray ionization tandem mass spectrometry (ESI-MS/MS) analysis. Of these, 14 proteins were upregulated; 5 proteins were decreased; and 5 were newly induced in waterlogged roots. The identified proteins include well-known classical anaerobically induced proteins as well as novel waterlogging-responsive proteins that were not known previously as being waterlogging responsive. The novel proteins are involved in several processes, i.e. signal transduction, programmed cell death, RNA processing, redox homeostasis and metabolisms of energy. An increase in abundance of several typical anaerobically induced proteins, such as glycolysis and fermentation pathway enzymes, suggests that plants meet energy requirement via the fermentation pathway due to lack of oxygen. Additionally, the impact of waterlogging on the several programmed cell death- and signal transduction-related proteins suggest that they have a role to play during stress. RNA gel blot analysis for three programmed cell death-related genes also revealed a differential mRNA level but did not correlate well with the protein level. These results demonstrate that the soybean plant can cope with waterlogging through the management of carbohydrate consumption and by regulating programmed cell death. The identification of novel proteins such as a translation initiation factor, apyrase, auxin-amidohydrolase and coproporphyrinogen oxidase in response to waterlogging stress may provide new insight into the molecular basis of the waterlogging-stress response of soybean.