| 1. |
- Liu, Yuanfeng, et al.
(author)
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Exploring Gut Microbiota in Patients with Colorectal Disease Based on 16S rRNA Gene Amplicon and Shallow Metagenomic Sequencing
- 2021
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In: Frontiers in Molecular Biosciences. - : Frontiers Media SA. - 2296-889X. ; 8
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Journal article (peer-reviewed)abstract
- The gastrointestinal tract, the largest human microbial reservoir, is highly dynamic. The gut microbes play essential roles in causing colorectal diseases. In the present study, we explored potential keystone taxa during the development of colorectal diseases in central China. Fecal samples of some patients were collected and were allocated to the adenoma (Group A), colorectal cancer (Group C), and hemorrhoid (Group H) groups. The 16S rRNA amplicon and shallow metagenomic sequencing (SMS) strategies were used to recover the gut microbiota. Microbial diversities obtained from 16S rRNA amplicon and SMS data were similar. Group C had the highest diversity, although no significant difference in diversity was observed among the groups. The most dominant phyla in the gut microbiota of patients with colorectal diseases were Bacteroidetes, Firmicutes, and Proteobacteria, accounting for >95% of microbes in the samples. The most abundant genera in the samples were Bacteroides, Prevotella, and Escherichia/Shigella, and further species-level and network analyses identified certain potential keystone taxa in each group. Some of the dominant species, such as Prevotella copri, Bacteroides dorei, and Bacteroides vulgatus, could be responsible for causing colorectal diseases. The SMS data recovered diverse antibiotic resistance genes of tetracycline, macrolide, and beta-lactam, which could be a result of antibiotic overuse. This study explored the gut microbiota of patients with three different types of colorectal diseases, and the microbial diversity results obtained from 16S rRNA amplicon sequencing and SMS data were found to be similar. However, the findings of this study are based on a limited sample size, which warrants further large-scale studies. The recovery of gut microbiota profiles in patients with colorectal diseases could be beneficial for future diagnosis and treatment with modulation of the gut microbiota. Moreover, SMS data can provide accurate species- and gene-level information, and it is economical. It can therefore be widely applied in future clinical metagenomic studies.
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| 2. |
- Ma, Li, et al.
(author)
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The Poverty of Farmers in a Main Grain-Producing Area in Northeast China
- 2022
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In: Land. - : MDPI AG. - 2073-445X. ; 11:5
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Journal article (peer-reviewed)abstract
- Farmers' poverty has long been of global concern, mainly in poor rather than affluent areas. The goal of this paper is to better understand the range of poverty in the context of regional differentiation and to enrich knowledge on farmers' poverty in affluent areas and areas with good natural conditions. A questionnaire survey of poor farmers in the major grain-producing area of Changchun, Northeast China was conducted. Farmers' poverty was studied from income poverty and multidimensional poverty by intertwining qualitative and quantitative methods. The results indicate that low education levels and poor physical health were most prevalent in poor farmers, followed by income poverty and low living standards. Governmental policies and the macroeconomic situation in the agricultural sector, non-agricultural employment, aging, cultivated land, and family size correlated closely with farmers' poverty. The macro changes in policies and global trade liberalization in the agricultural sector impacted farmers' income through the prices of agricultural products and subsidies and influenced the effect of cultivated land. For poor farmers, the effect of employment opportunities in villages was more significant than in urban areas. Aging remains a challenge for farmers' poverty now and in the future.
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| 3. |
- Ma, Li, et al.
(author)
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Understanding the spatiality of the rural poor's livelihoods in Northeast China : Geographical context, location and urban hierarchy
- 2023
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In: Applied Geography. - : Elsevier BV. - 0143-6228 .- 1873-7730. ; 152
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Journal article (peer-reviewed)abstract
- The livelihoods approach has become dominant for understanding poverty issues and advising on development policies. Spatial perspectives have been increasingly recognised to be important for understanding the increasing complexity and dynamics of livelihoods with regional development, urbanisation and close rural-urban interactions. This study further develops this perspective by highlighting the concepts of geographical context, location and urban hierarchy and adopts a multi-scalar analytical approach. The study examines the rural poor's livelihood strategies in Jilin Province of China based on two surveys conducted with about 3000 households in total and multiple logistic regression analysis. Our results demonstrate that half of the rural poor depend on incomes and livelihood strategies without labour input. From a macro-spatial view, the rural poor living in the Western and Eastern Areas, which have more challenging geographical contexts, are more dependent on subsidy income. From a micro-spatial view, rural livelihoods change, with spatial patterns depending on distance to urban areas and the type of these areas; small and medium-sized urban areas are more important for the rural poor's livelihoods. Geographical context makes these urban effects on rural livelihoods spatially more heterogeneous. Spatial understandings of livelihoods research help to better target and tailor poverty alleviation policies.
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