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Objective To conduct Rh blood group serological testing and third-generation sequencing(TGS) on 22 RhD variant voluntary blood donors in Chongqing and explore the phenotypic distribution and genotyping of RhD variants in Chongqing. Methods From January to August 2023, individuals who participated in blood donation in our blood center were selected as the study objects. RhD variant phenotype identification was performed using routine serological methods. Once the RhD variants were identified, tests on different antigenic epitopes of RhD were conducted using a D-screen assay kit. Furthermore, after the genomic DNA from 22 RhD variant blood samples was extracted, imbraided primers design and multi-segment amplification and splicing were used to sequence the full-length RHD gene for TGS. The RHD gene sequence was analyzed using SnapGene software. Results Among the 22 RhD variants, 8 were DVI type 3 (36.36%), with the main mutation of RHD-CE (3-6)-D hybrid allele. Six cases (27.27%) showed partial weak D15 type, with the main mutation of c.845G>A. There were 6 cases of Asia type Del (27.27%), with the main mutation of c.1227G>A. One case was weak D17 type with a mutation of c.340C>T and 1 case speculated to be partial D (c.491A>T, p. Asp164Val, missense mutation). Conclusion The most common RhD variant phenotype among blood donors in Chongqing is DVI type 3, and the full-length haplotype sequence of RHD variant alleles can be obtained by Pacific Bioscience single-molecule real-time sequencing(SMRT).

【Objective】In order to establish the reasonable planting density under the double-row planting model of large ridges and build a high-yielding peanut group model, the impact of the double-row planting density of large ridges (90 cm) on the characteristics, group structure changes and yield of peanut plants was studied.【Method】The semi-trailing type peanut variety 'Silihong' and the erect type 'Jihua26'were used as experimental materials. Set 6 planting densities: M1 (31.71×104 plants/hm2), M2 (27.75×104 plants/hm2), M3 (24.67×104 plants/hm2), M4 (22.20×104 plants/hm2), M5 (18.50×104 plants/hm2), M6 (15.85×104 plants/hm2), based on single ridge (60 cm) double-seed sowing (11.93×104 holes/hm2) as a comparison (CK). Determine the seedling rate, plant growth, SPAD value, dry matter accumulation and yield of each peanut variety under different density, and establish a reasonable group structure of peanuts and the optimal planting density of different varieties.【Result】The emergence time of different varieties was different under different planting densities, the emergence time of 'Silihong' was earlier than 'Jihua 26'. 25 days after sowing, the seedling rate of 'Silihong' was up to 100% at M3 density, 30 days after sowing, the seedling rate of 'Jihua26' was up to 100% at M3 density, which were significantly higher than other densities. With the decrease of planting density, the height of the main stem and the length of the side branch gradually increase with the decrease of the number of plants per unit area; the SPAD value tends to increase first and then decrease with the decrease of planting density; 'Jihua 26' with the decrease of density, the quality of dry matter showed a tendency to rise first and then decrease, and 'Silihong' the accumulated amount showed a trend of gradually increasing. With the reduction of planting density, the number of pods per plant, pod yield per plant and weight of 100-pod increased first and then decreased of the two experimental varieties, the highest value was under M4 density of 'Jihua26' and M5 density of 'Silihong', which were significantly higher than other densities. The yield of the two experimental varieties continues to increase, Jihua 26 at M4 density had highest yield was 7 956.67 kg/hm2 and 'Silihong' at M5 density had highest yield was 4 790.73 kg/hm2, compare to control increase 96.14% and 65.42% respectively.【Conclusion】Compared with the single-row double-seed planting mode, the large ridge double-row + single-seed planting mode can increase the peanut height, SPAD and dry matter accumulation. At the same time, the yield is improved. Under the condition that the density remains unchanged, peanuts can be changed from double-seed to single-seed precision sowing, which increases the yield. When planting in two rows of large ridges, the appropriate sowing density should be selected according to the type of peanut varieties. The M5 density of the semi-trailing type peanut varieties is the best, and the M4 density of the erect type peanut is the best.

To study the efficiency of flue gas sequestration with enhanced shale gas recovery in quartz slit, Grand Canonical Monte Carlo (GCMC) and Molecular Dynamics (MD) simulations were adopted to investigate the influence of burial depth, formation water content and the injection ratio of flue gas on the recovery efficiency of shale gas (CH4) in quartz slit by flue gas (CO2/N2). The density distribution, loading, adsorption heat and interaction energy of each component were systematically analyzed to reveal their adsorption mechanisms and the recovery efficiency of CH4. It indicates that the loadings of mixed CH4 and N2 (ΓCH4 and ΓN2) exhibit negative correlation with formation water content. With the increasing burial depth, both ΓCH4 and ΓN2 increase at first and then tend to be constant when the burial depth is over 2 400 m. The maximum loading of CO2 (ΓCO2) occurs at the burial depth of 2 400 m. There is a positive correlation of ΓCO2 with formation water content when the burial depth is below 2 400 m, and a negative correlation when the burial depth is over 2 400 m. The recovery efficiency of CH4 (η) reaches the maximum point at the burial depth of 400-600 m, which increases with the increasing mole fraction of CO2 in flue gas, showing that CO2 in flue gas can promote the displacement of CH4 significantly.

Petrocodon Hance is one of the famous ornamental flowers, but most of them are assessed as extremely dangerous (CR), or at least above vulnerable (VU) due to climate turbulence and strong interference of human activities. To reconstruct the temporal and spatial changes of the potential suitable areas of Petrocodon since the last interglacial period, and explore the response of the suitable areas to environmental changes, which provided theoretical guidance for the origin of Petrocodon, the study of geographical differentiation, the conservation of unique germplasm resources in China, and the development and utilization of gardens. In this paper, combined with 120 distribution records and 17 environmental variables, the optimal MaxEnt model and geographic information technology (ArcGIS) were used to simulate the suitable areas and distribution pattern of Petrocodon in China and Indo-China Peninsula. Based on stepwise multiple linear regression analysis, redundancy analysis and Monte-Carlo test, the dominant variables affecting the current geographical distribution of Petrocodon were evaluated. The results were as follows: (1) The prediction accuracy of the optimized MaxEnt model was high, and the AUC value was greater than 0.96. The potential suitable areas of Petrocodon for the present distribution are continuous from Southwest China to North Vietnam, scattered in central and southern China and blocky in North Myanmar, of which the South Yunnan-Guizhou Plateau in China was the most suitable. (2) The environmental variables which restrict the geographical distribution of Petrocodon included precipitation of the driest month (bio14), precipitation of the warmest quarter (bio18), precipitation of the wettest quarter (bio16), SD of the temperature seasonality (bio4), min temperature of the coldest month (bio6) and altitude (alt). (3) Under the climate change scenario, the expansion and contraction areas of the suitable habitat of Petrocodon were located in the north and northeast of the current potential distribution area, which were sensitive areas susceptible to climate change. During the last interglacial period, the suitable area of Petrocodon expanded on a large scale, but there was almost no suitable distribution area of Petrocodon in the dry and cold environment during the last glacial maximum. After that, with the aggravation of climate warming, the suitable habitats of Petrocodon increased rapidly to high latitudes, while the suitable habitat in low latitudes decreased. (4) The centroid position of the suitable area for Petrocodon migrated northwards from Yongfu County, Guangxi (110.10° E, 24.69° N) to Chengbu County, Hunan (110.29° E, 26.05° N). To sum up, global warming has a positive impact on the potential distribution area of Petrocodon, but extreme warming will cause the suitable habitat of Petrocodon to shrink, and the niche of Petrocodon will narrow. Southwest China to North Vietnam, which has the advantage of mature karst landform, may be its main refuge.

Crude oils from the Baiyun Sag of Pearl River Mouth Basin have high abundance of diagnostic biomarkers including novel C15 sesquiterpene, special configurated tricyclic sesquiterpenes and tetracyclic sesquiterpenes (X, Y, Z and X1, Y1, Z1), and bicadinanes, which indicate the contributions from terrestrial higher plants to the organic matters. These oils are also rich in oleanane, which is a diagnostic biomarker for angiosperm organic matter. Based on the analysis of 13 crude oils from the Baiyun Sag, the compositions and geochemical significance of typical biomarkers were revealed. Results indicate that C24-des-oleanane (Y1) and C27 tetracyclic (Z1) may share a similar biological origin. Novel C15 sesquiterpene, C24-des-oleanane and C27 tetracyclic, and bicadinanes may be derived from different higher plants according to the molecular structure and abundance correlation analysis of the related compounds. In addition, the biomarker compositions of crude oils from different regions are significantly varied, which will benefit the oil group classification in the Baiyun Sag. The distribution of novel C15 sesquiterpene and bicadinanes was influenced by sedimentary environment, and may be more enriched in oxidized environment. The distribution patterns of C24-des-oleanane, C27 tetracyclic and oleanane are principally affected by biogenic input, but are less influenced by sedimentary environment fluctuation. The relatively high abundance of C24-des-oleanane, C27 tetracyclic and oleanane in the crude oil in the northeastern and eastern Baiyun area reflects that the Dongsha Uplift and the Yunli Low Uplift may be an important source of terrigenous organic matter in this area.

Laser Raman spectroscopy has shown a good application prospect for maceral analysis. Raman spectroscopic analysis of different macerals (e.g., vitrinite, semifusinite and macrinite) in coal samples with different maturity (%Ro=0.49%-1.88%) was carried out in this study, and results show that three macerals have significantly different Raman spectrum parameters, which have the following implications for the macerals analysis of coal: (1) Macerals in coal samples can be distinguished by the combination of Raman spectrum parameters. There are 21 kinds of parameter combinations discussed in this study, which can be used as reference standard for the classification of these organic macerals; (2) Peak displacement (WD1) is the most critical parameter to distinguish the macerals of coal samples. The influence of thermal evolution should be considered, which may assistant for the study of maceral differences in the Lower Paleozoic which are in the high to over mature stage with optical properties gradually converging. Therefore, Raman spectrum parameters can be used as an effective method for maceral analysis.

The separation and preparation process of petroleum group components is the basis for the subsequent molecular composition and isotopic analysis. Due to the complex composition of isomers, the components of aromatic compounds prepared by traditional techniques still cannot meet the isotopic analysis requirements of specific compounds. Two different separating methods were used to finely separate and prepare polycyclic aromatic hydrocarbons in crude oils. The "one-step method" was to directly pass the de-asphalted crude oil samples through an alumina/silica gel chromatography column, and elute them with different ratios of petroleum ether/dichloromethane mixed solvent. The "two-step method" firstly used conventional separation methods to obtain aromatic fraction from crude oils, and then applied the aromatic fraction to a column filled with alumina and sub-fractions with different ring numbers then eluted with mixed solvent with different ratios of petroleum ether/dichloromethane. Gas chromatography-mass spectrometry (GC-MS) analysis for the sub-fractions were carried out for the comparison between the two separation methods. Results show that the "two-step method" can better realize the separation and preparation of monocyclic, bicyclic and tricyclic aromatic compounds. The mixed solvents of petroleum ether/dichloromethane of V/V: 99/1, 9/1 and 8/2 can obtain monocyclic, bicyclic and tricyclic aromatic compounds respectively.