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MicroRNA-22 inhibits proliferation and promotes differentiation of satellite cells in porcine skeletal muscle
Hong Quyen Dang, XU Gu-li, HOU Lian-jie, XU Jian, HONG Guang-liang, Chingyuan Hu, WANG Chong
2020, 19 (1): 225-233.   DOI: 10.1016/S2095-3119(19)62701-2
Abstract144)      PDF in ScienceDirect      
Pig is an important economic animal in China.  Improving meat quality and meat productivity is a long time issue in animal genetic breeding.  MicroRNAs (miRNAs) are short non-coding RNAs that participate in various biological processes, such as muscle development and embryogenesis.  miR-22 differentially expresses in embryonic and adult skeletal muscle.  However, the underlying mechanism is unclear.  In this study, we investigated miR-22 function in proliferation and differentiation of porcine satellite cells (PSCs) in skeletal muscle.  Our data show that miR-22 expressed in both proliferation and differentiated PSCs and is significantly upregulated (P<0.05) during differentiation.  After treated with the miR-22 inhibitor, PSCs proliferation was significantly increased (P<0.05), as indicated by the up-regulation (P<0.01) of cyclin D1 (CCND1), cyclin B1 (CCNB1) and down-regulation (P<0.05) of P21.  Conversely, over-expression of miR-22 resulted in opposite results.  Differentiation of PSCs was significantly suppressed (P<0.05), evidenced by two major myogenic markers: myogenin (MyoG) and myosin heavy chain (MyHC), after transfecting the PSCs with miR-22 inhibitor.  Opposite results were demonstrated in the other way around by transfection with miR-22 mimics.  In conclusion, the data from this study indicated that miR-22 inhibited the PSCs proliferation but promoted their differentiation. 
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Yield gap and production constraints of mango (Mangifera indica) cropping systems in Tianyang County, China
ZHANG Dong, WANG Chong, LI Xiao-lin
2019, 18 (8): 1726-1736.   DOI: 10.1016/S2095-3119(18)62099-4
Abstract148)      PDF in ScienceDirect      
Mango is an important cash crop in the tropics and subtropics.  Determining the yield gap of mango and production constraints can potentially promote the sustainable development of the mango industry.  In this study, boundary line analysis based on survey data from 103 smallholder farmers and a yield gap model were used to determine the yield gap and production constraints in mango plantations in the northern mountain, central valley and southern mountains regions of Tianyang County, Guangxi, China.  The results indicated that the yield of mango in three representing regions of Tianyang County, Northern Mountains, Central Valley and Southern Mountains, was 18.3, 17.0 and 15.4 t ha–1 yr–1, with an explainable yield gap of 10.9, 6.1 and 14.8 t ha–1 yr–1, respectively.  Fertilization management, including fertilizer N, P2O5 and K2O application rates, and planting density were the main limiting factors of mango yield in all three regions.  In addition, tree age influenced mango yield in the Northern Mountains (11.1%) and Central Valley (11.7%) regions.  Irrigation time influenced mango yield in the Northern Mountains (9.9%) and Southern Mountains (12.2%).  Based on a scenario analysis, the predicted yield would increase by up to 50%, and fertilizer N use would be reduced by as much as approximately 20%.  An improved understanding of production constraints will aid in the development of management strategy measures to increase mango yield.
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Correlation of production constraints with the yield gap of apple cropping systems in Luochuan County, China
ZHANG Dong, WANG Chong, LI Xiao-lin, YANG Xiu-shan, ZHAO Lu-bang, XIA Shao-jie
2019, 18 (8): 1714-1725.   DOI: 10.1016/S2095-3119(18)62098-2
Abstract131)      PDF in ScienceDirect      
Apple occupies a dominant position in fruit production globally, and has become the main income source of local smallholder farmers in Luochuan County in the Loess Plateau area, one of the largest apple production areas in China.  However, the annual productivity of apple orchards in this region remains low and has gradually declined over the years.  The distinction and correlation of production constraints can contribute to the promotion of apple orchard productivity and the development of a sustainable orchard system.  In the present study, survey data from 71 smallholder farmers were analyzed using a yield gap model to distinguish the production constraints and determine their correlation with the yield gap based on the structural equation model (SEM).  The results indicated that the average apple yield in Luochuan County was 29.9 t ha–1 yr–1, while the attainable yield (Yatt; the highest yield obtained from the on-farm surveys) was 58.1 t ha–1 yr–1.  The average explained and unexplainable yield gaps were 26.3 and 1.87 t ha–1 yr–1.  According to the boundary line analysis, crop load, number of sprayings and base fertilizer N were the top three constraints on apple production in 9.8, 7.8 and 7.8% of the plots, respectively.  Among the production constraints, crop load and fruit weight affected apple yield through direct pathways, whereas other constraints influenced apple yield through an indirect pathway based on the SEM, explaining 51% of the yield variance by all the main production constraints.  These results can improve the current understanding of production constraints and contribute to the development of management strategies and policies for improving apple yield.
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Science and Technology Backyard: A novel approach to empower smallholder farmers for sustainable intensification of agriculture in China
JIAO Xiao-qiang, ZHANG Hong-yan, MA Wen-qi, WANG Chong, LI Xiao-lin, ZHANG Fu-suo
2019, 18 (8): 1657-1666.   DOI: 10.1016/S2095-3119(19)62592-X
Abstract162)      PDF in ScienceDirect      
Sustainable feeding of the growing population in China without ecological destabilization is a grand challenge.  In this populous country where agriculture is dominated by smallholder farming, developing innovative technology and translating scientific knowledge into action for smallholder farmers is a crucial step in addressing this challenge.  Here, we present a novel approach for technology innovation and dissemination to achieve sustainable intensification in the fields of smallholder farmers.  The Science and Technology Backyard (STB) is a hub in a rural area that links knowledge with practices to promote technology innovation and exchange.  In this study, the framework and functions of STB are introduced, and the key implications for sustainable intensification across millions of smallholder farmers are explicitly stated: (i) develop innovative technology based on stated demands of farmers; (ii) disseminate technology by innovative social service models though combined top-down approaches with bottom-up measures to enable smallholders in rural areas.  This paper provides a perspective on transformation of small-scale agriculture toward sustainable intensification in China and useful knowledge applicable to other developing countries.
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Editorial – Science and Technology Backyard: A novel model for technology innovation and agriculture transformation towards sustainable intensification
JIAO Xiao-qiang, WANG Chong, ZHANG Fu-suo
2019, 18 (8): 1655-1656.   DOI: 10.1016/S2095-3119(19)62770-X
Abstract245)      PDF in ScienceDirect      
Science and Technology Backyard (STB) is an integrated platform for technology innovation, knowledge transfer, people training and agricultural transformation towards sustainable intensification. STB professors, graduate students and extension workers lived and worked together with smallholder farmers in rural areas. They identified the problems that limit sustainable agriculture and provided smallholder farmers systematic, integrated and holistic solutions without time lags, limitation, fees and distances. Many people, including farmers, graduate students, extension workers, have been trained via more than 100 STBs during the last decade (Zhang et al. 2016). 

The bottom-up approach has been developed and broadly used in the STBs to study the “field-farm-agriculture” ecosystem and the “Three Rural Issues”, and to explore possible measures for achieving the three major pillars of sustainable intensification: food security, resource conservation and environmental sustainability. With the involvement of various stakeholders, e.g., government, industry, university and farmer, a series of single and integrated technologies have been developed and tested in farmers’ fields. Based on the results, the major limiting factors of crop production were identified, key technologies and models for realizing sustainable crop production have been developed. 

In this special focus, we systematically summarize the methods of technology innovation in the STBs, especially focus on identifying the problems in agricultural production and give suggestions for achieving sustainable intensification (Jiao et al. 2019). For example, we have identified that low planting density is the major limiting factor for maize production in North China, followed by inappropriate nutrient management approach, based on the data collected from 235 farmer plots in three villages in the North China Plain (Chen et al. 2019). Maize yield could be improved by 20%, and partial factor productivity (kg of grain produced per kg N applied) could be improved by 30%, by integrated soil-crop system management and improving plant density in smallholder farmers’ plots in North China Plain (Chen et al. 2019). Similar results were obtained in other crops and places, such as in wheat production of North China Plain and Northeast China Plain (Cao et al. 2019; Huang et al. 2019; Zhao et al. 2019). 

For cash crops, e.g., mango, inappropriate nutrient management and low plant density were the major limiting factors, based on data collected from 103 farmers’ field plots. By improving plant density and nutrient management, mango yield could be improved by 50%, and 20% chemical N could be saved (Zhang et al. 2019b). This has provided important value and great significance for mango production. Similar results were obtained on apple production in Shaanxi Province (Zhang et al. 2019a). In this special focus, we present seven papers about the methodology of conducting technology innovation in the STBs. We hope to improve our understanding of research approach of STBs and provide guidance for countries facing similar challenges worldwide.
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Effects of salinity on the soil microbial community and soil fertility
ZHANG Wen-wen, WANG Chong, XUE Rui, WANG Li-jie
2019, 18 (6): 1360-1368.   DOI: 10.1016/S2095-3119(18)62077-5
Abstract266)      PDF in ScienceDirect      
Saline area is an important reserve resource of arable land, however, the effects of soil microorganisms on the soil fertility in saline coastal ecosystems remain poorly understood.  The salinity effects on soil microorganisms, nutrient availabilities and their relationships were studied in soils along a salinity gradient.  A total of 80 soil samples were collected from 16 sites at four salinity levels (non-saline soil, salt content<1 g kg–1; low salinity soil, salt content=1–2 g kg–1; middle salinity soil, salt content=2–4 g kg–1; high salinity soil, salt content>4 g kg–1).  The results showed that the salinity increased soil pH and exchangeable Na percent, but decreased soil organic matter, soil exchangeable K, and soil microbial biomass.  Both the abundance and community composition of soil bacteria and fungi were significantly different between the non-saline and the saline soils.  The predominant genera of soil bacteria (Planctomyces and Archangium, positive for carbon fixation) and fungi (Hydropisphaera, efficient in lignin degradation) changed with the increasing soil salinity and the decreasing soil organic matter.  In summary, soil salinity changed the abundances of soil bacterial, fungal, and arbuscular mycorrhizal communities and, subsequently, affected their function in saline coastal ecosystems.
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Generation of recombinant rabies virus ERA strain applied to virus tracking in cell infection
ZHAO Dan-dan, SHUAI Lei, GE Jin-ying, WANG Jin-liang, WEN Zhi-yuan, LIU Ren-qiang, WANG Chong, WANG Xi-jun, BU Zhi-gao
2019, 18 (10): 2361-2368.   DOI: 10.1016/S2095-3119(19)62717-6
Abstract156)      PDF in ScienceDirect      
The mechanism of rabies virus (RABV) infection still needs to be further characterized.  RABV particle with self-fluorescent is a powerful viral model to visualize the viral infection process in cells.  Herein, based on a reverse genetic system of the Evelyn-Rokitnicki-Abelseth (rERA) strain, we generated a recombinant RABV rERA-N/mCherry strain that stably expresses an additional ERA nucleoprotein that fuses with the red fluorescent protein mCherry (N/mCherry).  The rERA-N/mCherry strain retained growth property similar to the parent strain rERA in vitro.  The N/mCherry expression showed genetic stability during passage into mouse neuroblastoma (NA) cells and did not change the virulence of the vector.  The rERA-N/mCherry strain was then utilized as a visual viral model to study the RABV-cell binding and internalization.  We directly observed the red self-fluorescence of rERA-N/mCherry particles binding to the cell surface, and further co-localizing with clathrin in the early stage of infection in NA cells by fluorescence microscopy.  Our results showed that the rERA-N/mCherry strain uses clathrin-dependent endocytosis to enter cells, which is consistent with the well-known mechanism of RABV invasion.  The recombinant RABV rERA-N/mCherry thus appears to have the potential to be an effective viral model to further explore the fundamental molecular mechanism of rabies neuropathogenesis.
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