Project description:Global warming substantially changes precipitation patterns in the Tibetan plateau, with projection of increased precipitation in southern and northern Tibet but decreased precipitation in the center. Understanding mechanisms of such changes in greenhouse gas emissions is of vital importance in predicting ecosystem feedbacks to climate changes. Nonetheless, it has been hampered by limited knowledge in soil microbial communities, one of the major drivers of greenhouse gas emission. Here, we report a field experiment simulating drying and wetting conditions in the Tibetan grassland. Our field site is located at the Haibei Alpine Grassland Ecosystem Research Station in the northeast of Tibet Plateau, China, and we employed GeoChip 5.0 180K to analyze microbial responses. 18 samples were collected from 3 plots in Haibei Station, with 6 replicates in each plot
Project description:Land cover change has long been recognized that marked effect the amount of soil organic carbon. However, little is known about microbial-mediated effect processes and mechanism on soil organic carbon. In this study, the soil samples in a degenerated succession from alpine meadow to alpine steppe meadow in Qinghai-Tibetan Plateau degenerated, were analyzed by using GeoChip functional gene arrays. Overall design: soil microbial functional gene diversity; 20 samples were collected from alpine meadow and alpine-steppe meadow in Qinghai-Tibetan, China, with 10 replicates in every site
Project description:To revisit and address four major unresolved issues regarding prehistory, especially the Neolithic history of Sherpas and Tibetans and their hypoxic adaptation: (i) whether they are two genetically different ethnic groups; (ii) whether population substructures exist in either of the two groups; (iii) how long they have diverged from their ancestral group and when the two separated groups started to re-contact by population admixture; and (iv) whether the two groups share major high-altitude adaptation mechanisms. The careful and systematical analysis of these newly sequenced genomes, together with available genotyping data can provide further insight into the genetic origins of Sherpas and Tibetans and uncover their different adaptive mechanisms. Overall design: We generate or collect genome-wide data in 111 Sherpas (Tibet and Nepal) and 177 Tibetans (Tibet and Qinghai), and analyze these together with available data from present-day human populations. This current dataset includes 65 Chinese Sherpas and 18 Tibetans. To obtain the genotypes for other samples that collected in our analysis, please refer to Peng et al, MBE 2011, Xu et al, MBE 2011, Lou et al, AJHG 2016, Simonson et al, Since 2010, Lu et al, AJHG 2016 and Jeong et al, Nat Comm 2014; and contact the corresponding authors of the above publications.
Project description:Long term-exposed to high altitude, the increased numbers of red blood cells tend to stabilize to a certain extend in most people, but someone will occur over-increasing in number of red blood cells, which cause a serious of clinical symptoms and signs, and this is high altitude polycythemia. EPO-EPOR system may be the main reasons for erythroid progenitor cell proliferation and differentiation in early exposion to plateau, but, in the late, there may be other factors involved in the regulation of erythropoiesis in bone marrow, multiple factors working together lead to excessive red blood cell proliferation. We compared gene expression profiling of leukocytes in peripheral blood from high altitude polycythemia patients with those from matched controls. Subjects consisting of 5 masculine Han Chinese patients with HAPC (diagnosed according to international consensus statement on HAPC) and 5 matched controls, were migrants at River of TUOTUO area (Qinghai-Tibetan Plateau, 4550 m). Each of the five HAPC patients was matched to each of the control: gender, nationality, birthplace, duration migrating to plateau, height of location, work intensity. Peripheral blood samples were obtained at 4550m plateau from above subjects. Total RNA was extracted from peripheral blood leucocytes. The gene expression profilings were analysed by Human Genome U133 Plus 2.0 Array.