Life-history characteristics influence physiological strategies to cope with hypoxia in Himalayan birds.

Hypobaric hypoxia at high elevation represents an important physiological stressor for montane organisms, but optimal physiological strategies to cope with hypoxia may vary among species with different life histories. Montane birds exhibit a range of migration patterns; elevational migrants breed at high elevations but winter at low elevations or migrate further south, while high-elevation residents inhabit the same elevation throughout the year. Optimal physiological strategies to cope with hypoxia might therefore differ between species that exhibit these two migratory patterns, because they differ in the amount time spent at high elevation. We examined physiological parameters associated with blood-oxygen transport (haemoglobin concentration and haematocrit, i.e. the proportion of red blood cells in blood) in nine species of elevational migrants and six species of high-elevation residents that were sampled along a 2200 m (1000-3200 m) elevational gradient. Haemoglobin concentration increased with elevation within species regardless of migratory strategy, but it was only significantly correlated with haematocrit in elevational migrants. Surprisingly, haemoglobin concentration was not correlated with haematocrit in high-elevation residents, and these species exhibited higher mean cellular haemoglobin concentration than elevational migrants. Thus, alternative physiological strategies to regulate haemoglobin concentration and blood O2 carrying capacity appear to differ among birds with different annual elevational movement patterns.

Characterization of a species-specific repetitive DNA from a highly endangered wild animal, Rhinoceros unicornis, and assessment of genetic polymorphism by microsatellite associated sequence amplification (MASA).

We have cloned and sequenced a 906bp EcoRI repeat DNA fraction from Rhinoceros unicornis genome. The contig pSS(R)2 is AT rich with 340 A (37.53%), 187 C (20.64%), 173 G (19.09%) and 206 T (22.74%). The sequence contains MALT box, NF-E1, Poly-A signal, lariat consensus sequences, TATA box, translational initiation sequences and several stop codons. Translation of the contig showed seven different types of protein motifs, among which, EGF-like domain cysteine pattern signatures and Bowman-Birk serine protease inhibitor family signatures were prominent. The presence of eukaryotic transcriptional elements, protein signatures and analysis of subset sequences in the 5' region from 1 to 165nt indicating coding potential (test code value=0.97) suggest possible regulatory and/or functional role(s) of these sequences in the rhino genome. Translation of the complementary strand from 906 to 706nt and 190 to 2nt showed proteins of more than 7kDa rich in non-polar residues. This suggests that pSS(R)2 is either a part of, or adjacent to, a functional gene. The contig contains mostly non-consecutive simple repeat units from 2 to 17nt with varying frequencies, of which four base motifs were found to be predominant. Zoo-blot hybridization revealed that pSS(R)2 sequences are unique to R. unicornis genome because they do not cross-hybridize, even with the genomic DNA of South African black rhino Diceros bicornis. Southern blot analysis of R. unicornis genomic DNA with pSS(R)2 and other synthetic oligo probes revealed a high level of genetic homogeneity, which was also substantiated by microsatellite associated sequence amplification (MASA). Owing to its uniqueness, the pSS(R)2 probe has a potential application in the area of conservation biology for unequivocal identification of horn or other body tissues of R. unicornis. The evolutionary aspect of this repeat fraction in the context of comparative genome analysis is discussed.

Literature based species occurrence data of birds of northeast India.

The northeast region of India is one of the world's most significant biodiversity hotspots. One of the richest bird areas in India, it is an important route for migratory birds and home to many endemic bird species. This paper describes a literature-based dataset of species occurrences of birds of northeast India. The occurrence records documented in the dataset are distributed across eleven states of India, viz.: Arunachal Pradesh, Assam, Bihar, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura, Uttar Pradesh and West Bengal. The geospatial scope of the dataset represents 24 to 29 degree North latitude and 78 to 94 degree East longitude, and it comprises over 2400 occurrence records. These records have been collated from scholarly literature published between1915 and 2008, especially from the Journal of the Bombay Natural History Society (JBNHS). The temporal scale of the dataset represents bird observations recorded between 1909 and 2007. The dataset has been developed by employing MS Excel. The key elements in the database are scientific name, taxonomic classification, temporal and geospatial details including geo-coordinate precision, data collector, basis of record and primary source of the data record. The temporal and geospatial quality of more than 50% of the data records has been enhanced retrospectively. Where possible, data records are annotated with geospatial coordinate precision to the nearest minute. This dataset is being constantly updated with the addition of new data records, and quality enhancement of documented occurrences. The dataset can be used in species distribution and niche modeling studies. It is planned to expand the scope of the dataset to collate bird species occurrences across the Indian peninsula.