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Shan Jin
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK

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Earlycite article
Published: 25 May 2021 in British Food Journal
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Purpose Scientists' perceptions of societal needs and priorities will shape the innovation trajectories of synthetic biology (SB). In turn, these will be shaped by the funding and regulatory environments in which their research is conducted. This study intends to investigate scientists' perspectives on co-innovation with the public regarding implementation of pathways associated with SB including its agrifood applications. Design/methodology/approach Semi-structured interviews were conducted with Chinese and EU scientists (N = 9 and 13, respectively). Six prominent themes emerged from the data based on thematic analysis method. Findings Both Chinese and EU scientists regarded SB as being high-benefit, low-risk and ethically acceptable, and predicted its rejection by the general public and attributed this to the public's knowledge deficit and irrationality. They endorsed the deficit model of science communication, independent of greater emphasis on responsible research and innovation (RRI) in EU research projects. The findings raised concerns that public fears might intensify once they have learned about scientists' biased risk perceptions of SB; this calls for better involvement of broader stakeholders. Research limitations/implications As the sample size is relatively small, the generalisation of research findings needs to be cautious. However, the authors believe the findings have provided some insights that support increasingly RRI associated with SB. Originality/value This study has presented scientists' misunderstandings of societal responses to SB and science communication. It has also provided information to understand how SB-related issues and agenda can be better shaped in future.

ACS Style

Shan Jin; Beth Clark; Wenjing Li; Sharron Kuznesof; Lynn J. Frewer. Social dimensions of synthetic biology in the agrifood sector: the perspective of Chinese and EU scientists. British Food Journal 2021, ahead-of-p, 1 .

AMA Style

Shan Jin, Beth Clark, Wenjing Li, Sharron Kuznesof, Lynn J. Frewer. Social dimensions of synthetic biology in the agrifood sector: the perspective of Chinese and EU scientists. British Food Journal. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Shan Jin; Beth Clark; Wenjing Li; Sharron Kuznesof; Lynn J. Frewer. 2021. "Social dimensions of synthetic biology in the agrifood sector: the perspective of Chinese and EU scientists." British Food Journal ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 05 October 2020 in Sustainability
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The impact of agricultural cooperatives on apple farmers’ technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide a marketing service, although other functions remained the same. Using the propensity score matching (PSM) procedure and stochastic production frontier (SPF) modelling, cooperatives’ key functions that potentially increase farmers’ TE can be identified. The results indicate that membership of either group is positively related to yield. However, cooperatives that were not engaged in marketing achieved higher TE than non-members. This suggests that policy makers should encourage cooperatives to focus on activities that do not include direct marketing to increase TE in apple production in China.

ACS Style

Ruopin Qu; Yongchang Wu; Jing Chen; Glyn Jones; Wenjing Li; Shan Jin; Qian Chang; Yiying Cao; Guijun Yang; Zhenhong Li; Lynn Frewer. Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis. Sustainability 2020, 12, 8194 .

AMA Style

Ruopin Qu, Yongchang Wu, Jing Chen, Glyn Jones, Wenjing Li, Shan Jin, Qian Chang, Yiying Cao, Guijun Yang, Zhenhong Li, Lynn Frewer. Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis. Sustainability. 2020; 12 (19):8194.

Chicago/Turabian Style

Ruopin Qu; Yongchang Wu; Jing Chen; Glyn Jones; Wenjing Li; Shan Jin; Qian Chang; Yiying Cao; Guijun Yang; Zhenhong Li; Lynn Frewer. 2020. "Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis." Sustainability 12, no. 19: 8194.

Journal article
Published: 16 March 2020 in Computers and Electronics in Agriculture
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Precision agriculture has the potential to deliver improved and more sustainable food production. Despite the various Chinese policy initiatives to strengthen national food security, there is evidence that the adoption of precision agriculture technologies in China has been much lower when compared to other developed agricultural economies. This study therefore aims to explore factors that determine Chinese farmers’ adoption of precision agriculture technologies in cropping systems and to provide recommendations on technology promotion in the future. The current status of precision agriculture adoption by smallholder farmers within crop farming systems in the North China Plain was explored. An integrated model of “Adapted Unified Theory of Acceptance and Usage of Technology (AUT2)” was developed to explain individual farmers’ intention to adopt precision agriculture. 456 surveys were conducted via face to face interviews in the North China Plain and structural equation modelling analysis was used to estimate the proposed AUT2 model. The results showed that perceived need for technology characteristics (PNTC), perceived benefits, perception of the efficacy of facilitating conditions and perceived risks of adoption have significant impacts on farmers’ intention to adopt precision agriculture. The facilitating conditions (e.g. knowledge, resources and access to consultant services) were the best predictor improving Chinese farmers’ willingness to adopt these technologies. Policy makers and service providers need to consider these factors in the promotion of technologies.

ACS Style

Wenjing Li; Beth Clark; James A. Taylor; Helen Kendall; Glyn Jones; Zhenhong Li; Shan Jin; ChunJiang Zhao; Guijun Yang; Chuanmin Shuai; Xin Cheng; Jing Chen; Hao Yang; Lynn J. Frewer. A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. Computers and Electronics in Agriculture 2020, 172, 105305 .

AMA Style

Wenjing Li, Beth Clark, James A. Taylor, Helen Kendall, Glyn Jones, Zhenhong Li, Shan Jin, ChunJiang Zhao, Guijun Yang, Chuanmin Shuai, Xin Cheng, Jing Chen, Hao Yang, Lynn J. Frewer. A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. Computers and Electronics in Agriculture. 2020; 172 ():105305.

Chicago/Turabian Style

Wenjing Li; Beth Clark; James A. Taylor; Helen Kendall; Glyn Jones; Zhenhong Li; Shan Jin; ChunJiang Zhao; Guijun Yang; Chuanmin Shuai; Xin Cheng; Jing Chen; Hao Yang; Lynn J. Frewer. 2020. "A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems." Computers and Electronics in Agriculture 172, no. : 105305.

Review article
Published: 24 July 2019 in Trends in Food Science & Technology
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Synthetic biology is an emerging multidisciplinary area of research with the potential to deliver various novel agrifood applications. Its long-term adoption and commercialisation will depend on the extent to which the public accept synthetic biology and its different applications. A mapping review of existing research on public perceptions of, and attitudes towards, synthetic biology and its applications to agriculture and food production was conducted. This enabled an overview of current knowledge about public perceptions and attitudes to be developed, and current research gaps to be identified. Key findings and conclusions: Although some risk-related and ethical concerns were raised by the public, there was little evidence showing that people had an inherently negative perception of synthetic biology. The results demonstrated the importance of perceived benefits, perceived risks and ethical issues in shaping public acceptance of synthetic biology applied to agrifood production. Where analysis focused on specific applications, people tended to be more positive about medical and environmental applications compared to those in the agrifood sector. This is also the case for other areas of technology application, such as nanotechnology and genetic modification. However, at present, the literature is focused on synthetic biology as an enabling technology rather than on its specific applications. Given some evidence that people’s attitudes varied by product types, more research on specific applications is therefore needed to further investigate public attitudes and co-develop societal preferences for agrifood products.

ACS Style

Shan Jin; Beth Clark; Sharron Kuznesof; Xuan Lin; Lynn J. Frewer. Synthetic biology applied in the agrifood sector: Public perceptions, attitudes and implications for future studies. Trends in Food Science & Technology 2019, 91, 454 -466.

AMA Style

Shan Jin, Beth Clark, Sharron Kuznesof, Xuan Lin, Lynn J. Frewer. Synthetic biology applied in the agrifood sector: Public perceptions, attitudes and implications for future studies. Trends in Food Science & Technology. 2019; 91 ():454-466.

Chicago/Turabian Style

Shan Jin; Beth Clark; Sharron Kuznesof; Xuan Lin; Lynn J. Frewer. 2019. "Synthetic biology applied in the agrifood sector: Public perceptions, attitudes and implications for future studies." Trends in Food Science & Technology 91, no. : 454-466.

Journal article
Published: 01 February 2016 in Journal of Plant Physiology
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Pistacia chinensis Bunge (P. chinensis) is a deciduous and dioecious perennial arbor of the family Anacardiaceae that flowers from March to April and bears fruit from September to October. There are three rapidly growing stages in the annual growth process of P. chinensis. However, the knowledge of the secondary metabolites related to P. chinensis gender and growth season remains scant. In this study, HPLC was used to qualitatively and quantitatively determine the content of the catechin hydrate, rutin, quercetin, and kaempferol contents in male and female tree inflorescences and leaves. Total phenolics and flavonoids were also detected using a spectrophotometer. The results indicated that the contents of these compounds fluctuated with seasons and they reached the highest levels in nascent leaves. The fluctuations of these compounds followed different pathways of evolution, by increasing or decreasing in male and female trees throughout the whole growth process because they had their own biological functions. Moreover, the extracts exhibited DPPH radical scavenging bioactivity and showed no significant cytotoxicity towards 3T3-L1 preadipocytes. Together, these results demonstrated that P. chinensis has great potential as an antioxidant medicine, and the best harvest time is in the spring.

ACS Style

Lele Zhang; Minglei Yang; Junlan Gao; Shan Jin; Zhengyan Wu; Lifang Wu; Xin Zhang. Seasonal variation and gender pattern of phenolic and flavonoid contents in Pistacia chinensis Bunge inflorescences and leaves. Journal of Plant Physiology 2016, 191, 36 -44.

AMA Style

Lele Zhang, Minglei Yang, Junlan Gao, Shan Jin, Zhengyan Wu, Lifang Wu, Xin Zhang. Seasonal variation and gender pattern of phenolic and flavonoid contents in Pistacia chinensis Bunge inflorescences and leaves. Journal of Plant Physiology. 2016; 191 ():36-44.

Chicago/Turabian Style

Lele Zhang; Minglei Yang; Junlan Gao; Shan Jin; Zhengyan Wu; Lifang Wu; Xin Zhang. 2016. "Seasonal variation and gender pattern of phenolic and flavonoid contents in Pistacia chinensis Bunge inflorescences and leaves." Journal of Plant Physiology 191, no. : 36-44.

Short communication
Published: 22 June 2015 in Biochemical and Biophysical Research Communications
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Ribosome-inactivating proteins (RIPs) are N-glycosidases (EC3.2.2.22) that universally inactivate the ribosome, thereby inhibiting protein biosynthesis. In this study, a novel type I RIPs named SEBIN was identified in Sapium sebiferum. Nuclear acid depurine experiment showed that SEBIN had rRNA N-Glycosidase activity. Further experiment indicated that SEBIN significantly inhibited Caenorhabditis elegans development as well as resulted in worm cell apoptosis. This is the first report to evaluate RIPs toxicity using C. elegans. We proposed that SEBIN may impaire C. elegans reproduction in a DNA-damage manner besides traditional protein synthesis inhibition approach. The predicted 3D structure was modeled using threading and ab initio modeling, and the r-RNA binding residue of SEBIN was identified through the protein-ligand docking approach. It showed the amino acid residues, Glu195, Asn81, Ala82, Tyr83, Glu164, Ser163, Ile159 and Arg167, played critical roles in catalytic process. Our results provided the theoretical foundation of structure–function relationships between enzymatic properties, toxicity and structural characterization of SEBIN.

ACS Style

Ying Wu; Yingji Mao; Shan Jin; Jinyan Hou; Hua Du; Minglei Yang; Lifang Wu. Identification, characterization and structure analysis of a type I ribosome-inactivating protein from Sapium sebiferum (Euphorbiaceae). Biochemical and Biophysical Research Communications 2015, 463, 557 -562.

AMA Style

Ying Wu, Yingji Mao, Shan Jin, Jinyan Hou, Hua Du, Minglei Yang, Lifang Wu. Identification, characterization and structure analysis of a type I ribosome-inactivating protein from Sapium sebiferum (Euphorbiaceae). Biochemical and Biophysical Research Communications. 2015; 463 (4):557-562.

Chicago/Turabian Style

Ying Wu; Yingji Mao; Shan Jin; Jinyan Hou; Hua Du; Minglei Yang; Lifang Wu. 2015. "Identification, characterization and structure analysis of a type I ribosome-inactivating protein from Sapium sebiferum (Euphorbiaceae)." Biochemical and Biophysical Research Communications 463, no. 4: 557-562.

Research article
Published: 04 March 2015 in PLOS ONE
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Sapium sebiferum (Linn.) Roxb. (Chinese Tallow Tree) is a perennial woody tree and its seeds are rich in oil which hold great potential for biodiesel production. Despite a traditional woody oil plant, our understanding on S. sebiferum genetics and molecular biology remains scant. In this study, the first comprehensive transcriptome of S. sebiferum flower has been generated by sequencing and de novo assembly. A total of 149,342 unigenes were generated from raw reads, of which 24,289 unigenes were successfully matched to public database. A total of 61 MADS box genes and putative pathways involved in S. sebiferum flower development have been identified. Abiotic stress response network was also constructed in this work, where 2,686 unigenes are involved in the pathway. As for lipid biosynthesis, 161 unigenes have been identified in fatty acid (FA) and triacylglycerol (TAG) biosynthesis. Besides, the G-Quadruplexes in RNA of S. sebiferum also have been predicted. An interesting finding is that the stress-induced flowering was observed in S. sebiferum for the first time. According to the results of semi-quantitative PCR, expression tendencies of flowering-related genes, GA1, AP2 and CRY2, accorded with stress-related genes, such as GRX50435 and PRXⅡ39562. This transcriptome provides functional genomic information for further research of S. sebiferum, especially for the genetic engineering to shorten the juvenile period and improve yield by regulating flower development. It also offers a useful database for the research of other Euphorbiaceae family plants.

ACS Style

Minglei Yang; Ying Wu; Shan Jin; Jinyan Hou; Yingji Mao; Wenbo Liu; Yangcheng Shen; Lifang Wu. Flower Bud Transcriptome Analysis of Sapium sebiferum (Linn.) Roxb. and Primary Investigation of Drought Induced Flowering: Pathway Construction and G-Quadruplex Prediction Based on Transcriptome. PLOS ONE 2015, 10, e0118479 .

AMA Style

Minglei Yang, Ying Wu, Shan Jin, Jinyan Hou, Yingji Mao, Wenbo Liu, Yangcheng Shen, Lifang Wu. Flower Bud Transcriptome Analysis of Sapium sebiferum (Linn.) Roxb. and Primary Investigation of Drought Induced Flowering: Pathway Construction and G-Quadruplex Prediction Based on Transcriptome. PLOS ONE. 2015; 10 (3):e0118479.

Chicago/Turabian Style

Minglei Yang; Ying Wu; Shan Jin; Jinyan Hou; Yingji Mao; Wenbo Liu; Yangcheng Shen; Lifang Wu. 2015. "Flower Bud Transcriptome Analysis of Sapium sebiferum (Linn.) Roxb. and Primary Investigation of Drought Induced Flowering: Pathway Construction and G-Quadruplex Prediction Based on Transcriptome." PLOS ONE 10, no. 3: e0118479.