Study on Protein Related to Heat Tolerance of \u3cem\u3eMedicago sativa\u3c/em\u3e L. \u27Deqin\u27

High temperature over the growth threshold of plants can cause their metabolic and developmental changes, and consequently bring about their slow growth (Lobell et al., 2008). Alfalfa (Medicago sativa L.) is a high-quality legume suitable for growing in semi-arid areas. Its poor thermo tolerance restricts its introduction and popularization in southern China and transitional zone. Fall dormancy is an important indicator for planting planning of alfalfa (Barnes et al., 1977. Existing research shows that alfalfa varieties with a higher fall dormancy rate (FDR) have a stronger heat resistance (Lu, 1998). M. sativa L. ‘Deqin’ (hereinafter referred to as ‘Deqin’) is a wild type alfalfa with a low FDR (1.2) which can grow and proliferate normally in dry-hot valley regions in Deqin County, Yunnan, China. It shows a strong heat resistance. This phenomenon is contradictory to the inference that alfalfa varieties with a higher FDR have a stronger heat resistance. We intend to study physiological and biochemical changes and the change of mRNA expression quantity of differential protein and coding differential protein of ‘Deqin’ under high-temperature stress and analyze heat resistant physiology and molecular biological mechanism of ‘Deqin’. This result will enrich the study theory of alfalfa resources in China and provide theoretical basis for the introduction and popularization of alfalfa with the indicator of fall dormancy rate

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Complete chloroplast genome sequence of the drought and heat-resistant Chinese alfalfa landrace, Medicago sativa ‘Deqin’

Medicago sativa ‘Deqin’ is an excellent alfalfa landrace with strong drought and heat resistant which can grow and propagate very well in Deqin, a xerothermic valley of Jinsha River, China. In this study, the complete chloroplast genome of M. sativa ‘Deqin’ was assembled. The complete chloroplast genome of M. sativa ‘Deqin’ represents a typical circular with 125,470 bp in length, containing one inverted repeat (IR) region. Gene prediction revealed 110 genes encoding 76 proteins, 30 transfer RNAs, and four ribosome RNAs. Three genes (rps16, rpl22 and infA) are absent. The overall GC content is 33.9%. The phylogenetic analysis revealed that M. sativa ‘Deqin’ belonged to the IR lacking clade, and was closely related to M. sativa with a 100% bootstrap support

Comprehensive performance evaluation of coordinated development of industrial economy and its air pollution control

Exploring coordinated pathways that can promote not only the sustainable development of the industrial economy but also air quality is of great significance for the prevention and control of air pollution in China. Currently, the joint development pathways of the industrial economy-environment nexus remain unclear and poorly evaluated. In this study, we proposed a comprehensive performance evaluation combining objective and subjective weighting to identify industrial enterprises' economic-environment nexus benefits. It would be one of the most important steps to explore the coordinated pathways. Based on data envelopment analysis (DEA), the proposed method integrated with the index integration was used to evaluate the comprehensive performances of 41 industrial sectors in China's 13th five-year plan (2016–2020). Evaluation results showed that the comprehensive performances of the economy-environment nexus of the industrial sectors varied significantly, with the five-year average comprehensive technical efficiency (TE) of 0.11–1. Overall, the best two performances were realized by the industries of equipment manufacturing and living consumption, whereas the worst one belonged to the industry of bulk raw materials, with average comprehensive TE values of 0.50, 0.43, and 0.19, respectively. The results of the quantitative evaluation were consistent with those of the qualitative analysis in terms of the developmental status of the industrial sectors. According to the analyses of pure technical efficiency and scale effect, the proposed method identified the industrial sectors with the highest developmental value and with the highest need to control air pollution. Compared with those of the original DEA model, the results of the proposed method showed pronounced differences in terms of the performances of industrial sectors with high energy consumption and high particulate matter (PM) emissions and with low energy consumption and low PM emissions. The proposed evaluation method combining the weighting was suitable for identifying the comprehensive performance of the industrial economy-environment nexus and provides the basis for the prevention and control of air pollution