Recent Adopted

Advance in the Regulatory Role of miRNA in Breast Cancer

Lei Zhixin , Yang Haiyi , Xie Hao , Huan Shijiao , Sun taolei

Adopted date: September 10,2024

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Abstract:
Breast cancer is one of the diseases with the highest mortality rate in the world and poses a serious threat to human and animal including pet heaths. MicroRNA(miRNA), as a small molecule of gene regulation, can mediate cellular target genes to regulate the occurrence and progression of breast cancer. In this paper, we classified miRNA according to their sources, reviewed the functional properties of endogenous and exogenous miRNA (botanmin), and pointed out their regulatory mechanisms for breast cancer. The potential targets of exogenous miRNA associated with breast cancer were predicted by bioinformatics, which provided a reference for the treatment of exogenous miRNA in breast cancer.

Effects of bio-organic fertilizer on soil cadmium morphology and cadmium accumulation in maize

CHEN Lihan , LU Qiwei , ZHANG Guangzheng , HU Hongqing

Adopted date: September 04,2024

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Abstract:
To explore the effect of bio-organic fertilizer on cadmium morphology transformation and bio-efficacy in cadmium-polluted soil. In this experiment, two kinds of Cd-polluted soils in Xichuan County, Henan Province were collected, and six fertilization treatments were set up, CK (without any material); NPK (conventional application of NPK fertilizer); NPK+0.5% OF (conventional application of fertilizer + 0.5% commercial organic fertilizer); NPK+1% OF (NPK+1% commercial organic fertilizer); NPK+0.5% BF (NPK+0.5% bio-organic fertilizer); NPK+1%BF (NPK+1% bio-organic fertilizer), and determined the soil total Cd content, soil Cd chemical form, and Cd content of maize plant roots and seeds before and after planting. The results showed that the best management effect was achieved by adding 1% bio-organic fertilizer, and the effective state cadmium content of the two types of soils under NPK+1%BF treatment decreased by 19.74% and 7.09%, respectively, compared with that of NPK+1%OF; the application of organic materials reduced the cadmium content of the soil in the weakly acid-extractable state and increased the cadmium content in the residual state, and the NPK+1.0%BF weak acid extraction state cadmium content compared to CK decreased by 11%, residue state cadmium increased by 16%; application of organic materials in the treatment of maize plant roots, grain cadmium content was significantly reduced to NPK +1.0% BF treatment was the best, compared with the NPK treatment, soil Ⅰ of the maize roots, grain cadmium content decreased by 34.41%, 31.59%.

Construction of Core Collection and Association Analysis for Saccharum spontaneum L. in Guangxi

ZHANG Bao-qing , HUANG Yu-xin , DUAN Wei-xing , YANG Cui-fang , ZHANG Ge-min , LU Shan-yu , ZHOU Shan , Gao Yi-jing

Adopted date: September 04,2024

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Abstract:
Using 12 pairs of SSR primers and 28phenotypic traits, the construction of core collection and association analysis were carried out for 333 accessions of Saccharum spontaneum L. from Guangxi. Association analysis results showed that 5 phenotypic traits, including stem diameter, internode length, color before exposure, defoliation and hairiness, were significantly correlated with 8 loci. Stem diameter was significantly correlated with plant height, leaf length, leaf width, internode length, node number and brix. The phenotypic traits of plant height, stem diameter, internode length and node number were significantly positively correlated. The brix was negatively correlated with stem diameter and internode length. Sampling ratios of core collection were tested according to 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 of the proportion. When the sampling proportion reached more than 30%, it could contain 100% allele coverage. According to the sampling proportion of 30%, 99 accessions were selected to construct the core collection. Genetic diversity evaluation and principal component analysis showed that the constructed core germplasm had a good representation.

Analysis of HMW-GS Composition in 121 Local Wheat Varieties

Chenjunpeng , Pengmin , Tangqingyi , Zhangdaorong , Renxifeng

Adopted date: September 04,2024

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小麦是我国重要的口粮作物，随着社会的进步和人民生活水平的不断提高，其品质已不能满足消费者的需求，小麦地方品种作为小麦遗传改良的重要种质资源，其遗传多样性丰富，蕴含着大量的优质基因资源。而高分子量麦谷蛋白亚基（HMW-GS）组成是衡量小麦品质的重要指标，成为小麦品质改良的重点。因此，对我国小麦地方品种的高分子量麦谷蛋白亚基的组成进行研究具有重要的意义。本研究以121份我国小麦地方品种为供试材料，利用SDS-PAGE技术对供试材料的HMW-GS组成进行鉴定和分析。结果表明供试材料在Glu-A1、Glu-B1 和Glu-D1 三个位点上分别检测出了3、9和6种不同的等位基因变异类型，其中Null、5+10和2+12分别在Glu-A1、Glu-B1 和Glu-D1位点上出现的频率最高，其频率分别为78.51%、76.86%和76.03%；同时，不同等位基因变异类型共形成30种不同的亚基组合，其中以Null/7+8/2+12亚基组合类型占比最高，为55.37%，但该亚基组合类型品质得分较低，仅有6分；而亚基组合1/7+8/5+10、1/14+15/5+12、2*/7+8/5+10和2*/7+9/5+12得分最高，成为优质亚基组合，可作为现代小麦品质改良的优异基因资源。该研究不仅明确了我国小麦地方品种优质亚基组成，同时对不同亚基的组合类型进行评价，以期挖掘具有应用价值的HMW-GS组合类型，为我国现代小麦品质遗传改良提供参考依据。

META-ANALYSIS OF HYBRID AND INBRED RICE YIELD AS AFFECTED BY DROUGHT AND ITS DIFFERENCE IN DRY MATTER ALLOCATION

MaoZiLin , SongGuoQing , MaYunJing , NiuXinZe , CaoCouGui , LiPing

Adopted date: August 28,2024

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Abstract:
In order to investigate the effects of drought on dry matter allocation and yield of hybrid and inbred rice, we integrated the results of literature on drought stress-rice yield in China from 1990 to 2020 through Meta-analysis to quantify the effects of rice varieties, the degree of drought stress, and the period of stress on yield, and further investigated the effects of drought (soil water potential -30 kPa±5 kPa) on leaf and root physiological indexes at the flowering stage of rice by utilizing a local pot experiment using Indica hybrids Yangliangyou 6 and Shanyou 63, and Indica inbred rices Huanghuazhan and Yangdao 6. The effects of drought (soil water potential -30 kPa±5 kPa) on leaf and root physiological indexes, dry matter accumulation and distribution patterns of rice at the flowering stage were further investigated using pot experiments with indica hybrid rice Yang Liangyou 6 and Shanyou 63, indica inbred rice Huanghuazhan and Yangdao 6 as experimental materials. Meta-analysis revealed that the average reduction in rice yield under drought was 24.0%; the largest reduction in rice yield under drought stress during the nutrient growth period was up to 24.4%;The significant difference in yield reduction between Indica hybrid and Indica inbred rice under drought stress was 19.3% and 13.8%, respectively, indicating that the yield of inbred rice was relatively stable under drought stress. The local pot experiment found that leaf water potential and chlorophyll content, root wounding flow rate, root absorbing area and active absorbing area of rice significantly decreased under drought stress, in which root wounding flow rate decreased the most, 94.29% and 89.03% for hybrid and inbred rice, respectively, while root vigor significantly increased,. Drought significantly reduced the dry weight of all parts of rice, in which the soluble sugar content and nonstructural carbohydrate content (NSC) of hybrid rice leaves decreased significantly by 37.73% and 25.35%, respectively, while the soluble sugar content and NSC content of inbred rice leaves increased significantly by 21.89% and 10.49%, respectively. Compared with hybrid rice, the physiological indexes of leaves and roots of inbred rice under drought had smaller variation, and its leaves, spikes, and roots accumulated more NSC content, and its stems had higher content of photosynthetic carbon; the NSC content of leaves, spikes, and roots of inbred rice accounted for a greater proportion of the photosynthetic carbon accumulated during the flowering period. Therefore, inbred rice under drought may be able to maintain stable yields by accumulating more NSC to ensure stable energy metabolism in all organs.

The effects of land use change on carbon emission——Evidence from 224 cities of China

Du Hui , Zhang Xueru , Zhang Shiguo , Zhang Qingyong

Adopted date: August 28,2024

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Abstract:
In the era of carbon peaking and carbon neutrality, it is of great significance to explore the impact of land use change on carbon emissions and its impact path for promoting coordinated ecological and environmental governance and achieving green and high-quality development. Starting from the perspective of the conversion of cultivated land into construction land, based on the data of 224 prefecture-level cities in China in 2009-2010 and 2018-2019, this paper uses the panel fixed effect model to focus on the carbon emission effect of the conversion of cultivated land into construction land and its influencing mechanism. The results showed that: (1) the conversion of cultivated land into construction land showed a shrinking trend, and the eastern provinces and northeast regions had the most prominent trend, while the central and western provinces had no obvious shrinking trend. The total carbon emission showed a downward trend only in the eastern provinces, while the other provinces showed an upward trend. (2) The conversion of cultivated land to construction land significantly increased carbon emissions, and this research result remained valid after robustness test and possible endogeneity treatment. (3) The change of industrial structure and energy consumption caused by the conversion of cultivated land into construction land is the main path affecting carbon emissions.

Genome-wide association analysis of quality traits in silage maize

Liupengfei , Wangdong , chenzehui , Guoxiangyang , Wuxun , Wangangui , Tuliang , Zhuyunfang

Adopted date: August 27,2024

[Abstract](26) [HTML](0) [PDF 0.00 Byte](0)

Abstract:
In order to preliminarily reveal the genetic patterns of crude protein content, starch content, neutral detergent fiber (NDF) content, acid detergent fiber (ADF) content, soluble sugar content and in vitro dry matter digestibility in maize. In this study, 183 maize inbred lines were planted in Guiyang according to randomized block grouping, and maize crude protein, starch, NDF, ADF, soluble sugar and in vitro dry matter digestibility were determined, and the test materials were genotyped using the Maize SNP 50 , and genome-wide linkage analyses were performed using the mixed linear model (MLM), which identified 31, 61, 11, 36, 20, 20, 20 and 20 maize silages, respectively. 31, 61, 11, 36, 20 and 42 single nucleotide polymorphism (SNP) loci significantly associated with crude protein, starch, NDF, ADF, soluble sugar and in vitro dry matter digestibility (P < 0.001) were identified, and the explanation rates for phenotypic variation were 5.80%~11.40%, 5.78%~11.38%, 5.78%~7.85%, 5.81%~10.37%, 5.78%~7.35% and 5.79%~11.33%, respectively. Meanwhile, SYN6712, PHM1190.3, SYN7541 and PZE-104072386 were found to belong to the one-cause-multiple-effect loci; among them, SYN6712, PHM1190.3 and SYN7541 on chromosome 6 were simultaneously and significantly associated with starch and in vitro dry matter digestibility, and PZE-104072386 on chromosome 4 was simultaneously and significantly associated with ADF and soluble sugar, and after allelic variation identification, we found that the T/T genotype was an excellent allelic variation of SYN6712 and PHM1190.3. Meanwhile, the candidate genes Zm00001d037272, Zm00001d037386, Zm00001d037532 and Zm00001d051166 were excavated. These results can provide theoretical support for the subsequent research on the genetic mechanism of maize quality traits such as crude protein, starch, NDF, ADF and soluble sugar, as well as for the use of molecular markers to assist breeding.

Acquisition of growth information of peanut fields based on 3D LiDAR perception

Hu Lian , Liu Yuxuan , Zang Ying , He Jie , Wang Pei , Huang Junwei , Huang Peikui , Zhao Runmao

Adopted date: August 27,2024

[Abstract](17) [HTML](0) [PDF 0.00 Byte](0)

Abstract:
In order to rapidly and accurately obtain crop growth information such as plant height and volume in the field environment, this paper takes peanuts as the research object and adopts 3D LiDAR perception technology to obtain peanut point cloud data in the field. After registration, denoising, and other processing, a three-dimensional point cloud model is constructed. The point cloud plant segmentation method based on KD-TREE is used to segment individual peanut plants from the point cloud data. The convex hull algorithm is used to estimate plant volume, and the rotating caliper method is utilized to extract plant height and maximum canopy width, thereby obtaining peanut growth information. Point cloud data of peanut plants at three different growth stages were collected in a peanut planting experimental area. The proposed method was used to carry out verification tests for individual peanut plant segmentation and extraction of plant height and maximum canopy width. The accuracy of growth information acquisition was investigated, and recall and precision rates were used to evaluate the results. Experimental results showed that the recall and precision rates of individual peanut plant segmentation in the field could reach over 85%, indicating that the proposed method has good accuracy and completeness for segmenting peanut point cloud data in the field. The extracted parameters such as peanut plant height and maximum canopy width were compared with manual measurements. The average absolute percentage errors of plant height in the three different growth stages were 6.2705%, 4.3675%, and 4.9859%, respectively, and the maximum canopy widths were 7.1140%, 5.6063%, and 4.5410%, respectively. The root mean square errors of plant height were 0.0096m, 0.0152m, and 0.0271m, respectively, and the root mean square errors of the maximum canopy width were 0.0110m, 0.0201m, and 0.0203m, respectively. The linear regression determination coefficients of plant height data were 0.88797, 0.95101, and 0.84183, respectively, and the linear regression determination coefficients of maximum canopy width data were 0.93431, 0.93179, and 0.92717, respectively. These results verify the accuracy and feasibility of using point clouds to measure peanut growth data, enabling high-precision, non-destructive extraction of peanut phenotypic parameters. The research results provide important technical support for peanut cultivation and breeding.

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