Journals
  Publication Years
  Keywords
Search within results Open Search
Please wait a minute...
For Selected: Toggle Thumbnails
Development of an Agrobacterium tumefaciens-mediated transformation system for somatic embryos and transcriptome analysis of LcMYB1’s inhibitory effect on somatic embryogenesis in Litchi chinensis
Yaqi Qin, Bo Zhang, Xueliang Luo, Shiqian Wang, Jiaxin Fu, Zhike Zhang, Yonghua Qin, Jietang Zhao, Guibing Hu
2025, 24 (2): 594-609.   DOI: 10.1016/j.jia.2024.03.007
Abstract35)      PDF in ScienceDirect      

Litchi has great economic significance as a global fruit crop.  However, the advancement of litchi functional genomics has encountered substantial obstacles due to its recalcitrance to stable transformation.  Here, we present an efficacious Agrobacterium tumefaciens-mediated transformation system in somatic embryos of ‘Heiye’ litchi.  This system was developed through the optimization of key variables encompassing explant selection, Atumefaciens strain delineation, bacterium concentration, infection duration, and infection methodology.  The subsequent validation of the transformation technique in litchi was realized through the ectopic expression of LcMYB1, resulting in the generation of transgenic calli.  However, the differentiation of transgenic calli into somatic embryos encountered substantial challenges.  To delineate the intricate molecular underpinnings of LcMYB1’s inhibitory role in somatic embryo induction, a comprehensive transcriptome analysis was conducted that encompassed embryogenic calli (C), globular embryos (G), and transgenic calli (TC).  A total of 1,166 common differentially expressed genes (DEGs) were identified between C-vs.-G and C-vs.-TC.  Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that these common DEGs were mostly related to plant hormone signal transduction pathways.  Furthermore, RT-qPCR corroborated the pronounced down-regulation of numerous genes that are associated with somatic embryo induction within the transgenic calli.  The development of this transformation system provides valuable support for functional genomics research in litchi.

Reference | Related Articles | Metrics
Optimizing crop yields while minimizing environmental impact through deep placement of nitrogen fertilizer
Lingxiao Zhu, Hongchun Sun, Liantao Liu, Ke Zhang, Yongjiang Zhang, Anchang Li, Zhiying Bai, Guiyan Wang, Xiaoqing Liu, Hezhong Dong, Cundong Li
2025, 24 (1): 36-60.   DOI: 10.1016/j.jia.2024.05.012
Abstract78)      PDF in ScienceDirect      
Nitrogen (N) serves as an essential nutrient for yield formation across diverse crop types.  However, agricultural production encounters numerous challenges, notably high N fertilizer rates coupled with low N use efficiency and serious environmental pollution.  Deep placement of nitrogen fertilizer (DPNF) is an agronomic measure that shows promise in addressing these issues.  This review aims to offer a comprehensive understanding of DPNF, beginning with a succinct overview of its development and methodologies for implementation.  Subsequently, the optimal fertilization depth and influencing factors for different crops are analyzed and discussed.  Additionally, it investigates the regulation and mechanism underlying the DPNF on crop development, yield, N use efficiency and greenhouse gas emissions.  Finally, the review delineates the limitations and challenges of this technology and provides suggestions for its improvement and application.  This review provides valuable insight and reference for the promotion and adoption of DPNF in agricultural practice.
Reference | Related Articles | Metrics
Effect of land use on soil nematode community composition and co-occurrence network relationship
Xiaotong Liu, Siwei Liang, Yijia Tian, Xiao Wang, Wenju Liang, Xiaoke Zhang
2024, 23 (8): 2807-2819.   DOI: 10.1016/j.jia.2023.11.019
Abstract138)      PDF in ScienceDirect      

Land use influences soil biota community composition and diversity, and then belowground ecosystem processes and functions.  To characterize the effect of land use on soil biota, soil nematode communities in crop land, forest land and fallow land were investigated in six regions of northern China.  Generic richness, diversity, abundance and biomass of soil nematodes was the lowest in crop land.  The richness and diversity of soil nematodes were 28.8 and 15.1% higher in fallow land than in crop land, respectively.  No significant differences in soil nematode indices were found between forest land and fallow land, but their network keystone genera composition was different.  Among the keystone genera, 50% of forest land genera were omnivores-predators and 36% of fallow land genera were bacterivores.  The proportion of fungivores in forest land was 20.8% lower than in fallow land.  The network complexity and the stability were lower in crop land than forest land and fallow land.  Soil pH, NH4+-N and NO3-N were the major factors influencing the soil nematode community in crop land while soil organic carbon and moisture were the major factors in forest land.  Soil nematode communities in crop land influenced by artificial management practices were more dependent on the soil environment than communities in forest land and fallow land.  Land use induced soil environment variation and altered network relationships by influencing trophic group proportions among keystone nematode genera.  

Reference | Related Articles | Metrics
Increasing root-lower characteristics improves drought tolerance in cotton cultivars at the seedling stage
Congcong Guo, Hongchun Sun, Xiaoyuan Bao, Lingxiao Zhu, Yongjiang Zhang, Ke Zhang, Anchang Li, Zhiying Bai, Liantao Liu, Cundong Li
2024, 23 (7): 2242-2254.   DOI: 10.1016/j.jia.2023.07.013
Abstract123)      PDF in ScienceDirect      
Drought is an important abiotic stress factor in cotton production.  The root system architecture (RSA) of cotton shows high plasticity which can alleviate drought-related stress under drought stress (DS) conditions; however, this alleviation is cultivar dependent.  Therefore, this study estimated the genetic variability of RSA in cotton under DS.  Using the paper-based growth system, we assessed the RSA variability in 80 cotton cultivars at the seedling stage, with 0 and 10% polyethylene glycol 6000 (PEG6000) as the control (CK) and DS treatment, respectively.  An analysis of 23 above-ground and root traits in the 80 cotton cultivars revealed different responses to DS.  On the 10th day after DS treatment, the degree of variation in the RSA traits under DS (5–55%) was greater than that of CK (5–49%).  The 80 cultivars were divided into drought-tolerant cultivars (group 1), intermediate drought-tolerant cultivars (group 2), and drought-sensitive cultivars (group 3) based on their comprehensive evaluation values of drought resistance.  Under DS, the root length-lower, root area-lower, root volume-lower, and root length density-lower were significantly reduced by 63, 71, 76, and 4% in the drought-sensitive cultivars compared to CK.  Notably, the drought-tolerant cultivars maintained their root length-lower, root area-lower, root volume-lower, and root length density–lower attributes.  Compared to CK, the root diameter (0–2 mm)-lower increased by 21% in group 1 but decreased by 3 and 64% in groups 2 and 3, respectively, under DS.  Additionally, the drought-tolerant cultivars displayed a plastic response under DS that was characterized by an increase in the root-lower characteristics.  Drought resistance was positively correlated with the root area-lower and root length density-lower.  Overall, the RSA of the different cotton cultivars varied greatly under DS.  Therefore, important root traits, such as the root-lower traits, provide great insights for exploring whether drought-tolerant cotton cultivars can effectively withstand adverse environments.
Reference | Related Articles | Metrics

Evaluating the performance of genomic selection on purebred population by incorporating crossbred data in pigs

Jun Zhou, Qing Lin, Xueyan Feng, Duanyang Ren, Jinyan Teng, Xibo Wu, Dan Wu, Xiaoke Zhang, Xiaolong Yuan, Zanmou Chen, Jiaqi Li, Zhe Zhang, Hao Zhang
2024, 23 (2): 639-648.   DOI: 10.1016/j.jia.2023.09.004
Abstract174)      PDF in ScienceDirect      
Genomic selection (GS) has been widely used in livestock, which greatly accelerated the genetic progress of complex traits.  The population size was one of the significant factors affecting the prediction accuracy, while it was limited by the purebred population.  Compared to directly combining two uncorrelated purebred populations to extend the reference population size, it might be more meaningful to incorporate the correlated crossbreds into reference population for genomic prediction.  In this study, we simulated purebred offspring (PAS and PBS) and crossbred offspring (CAB) base on real genotype data of two base purebred populations (PA and PB), to evaluate the performance of genomic selection on purebred while incorporating crossbred information.  The results showed that selecting key crossbred individuals via maximizing the expected genetic relationship (REL) was better than the other methods (individuals closet or farthest to the purebred population, CP/FP) in term of the prediction accuracy.  Furthermore, the prediction accuracy of reference populations combining PA and CAB was significantly better only based on PA, which was similar to combine PA and PAS.  Moreover, the rank correlation between the multiple of the increased relationship (MIR) and reliability improvement was 0.60–0.70.  But for individuals with low correlation (Cor(Pi, PA or B), the reliability improvement was significantly lower than other individuals.  Our findings suggested that incorporating crossbred into purebred population could improve the performance of genetic prediction compared with using the purebred population only.  The genetic relationship between purebred and crossbred population is a key factor determining the increased reliability while incorporating crossbred population in the genomic prediction on pure bred individuals.
Reference | Related Articles | Metrics
A potential hyphal fusion protein complex with an important role in development and virulence interacts with autophagy-related proteins in Fusarium pseudograminearum
Linlin Chen, Yixuan Shan, Zaifang Dong, Yake Zhang, Mengya Peng, Hongxia Yuan, Yan Shi, Honglian Li, Xiaoping Xing
2024, 23 (12): 4093-4106.   DOI: 10.1016/j.jia.2023.09.005
Abstract196)      PDF in ScienceDirect      

Hyphal fusion (anastomosis) is a common process serving many important functions at various developmental stages in the life cycle of ascomycetous fungi.  However, the biological roles and molecular mechanisms in plant pathogenic fungi were widely unknown.  In this study, a hyphal fusion protein FpHam-2 was screened from a T-DNA insertion mutant library of Fusarium pseudograminearum, and FpHam-2 interacts with another 2 hyphal fusion protein homologues FpHam-3 and FpHam-4.  Each of these 3 genes deletion mutant revealed in similar defective phenotypes compared with the WT and complemented strains, including reduction in growth rate, defects in hyphal fusion and conidiation, more sensitive for cell membrane, cell wall and oxidative stress responses, and decreased in virulence.  The yeast two-hybrid assay was used to identify that FpHam-2 interacts with 3 autophagy-related proteins, including FpAtg3, FpAtg28 and FpAtg33.  Furthermore, FpHam-2-deletion mutant showed decreased accumulation of autophagic bodies in hypha.  In conclusion, FpHam-2, FpHam-3 and FpHam-4 have an essential role for hyphal fusion and regulating the growth, conidiation and virulence in Fpseudograminearum.


Reference | Related Articles | Metrics
Exogenous melatonin improves cotton yield under drought stress by enhancing root development and reducing root damage
Lingxiao Zhu, Hongchun Sun, Ranran Wang, Congcong Guo, Liantao Liu, Yongjiang Zhang, Ke Zhang, Zhiying Bai, Anchang Li, Jiehua Zhu, Cundong Li
2024, 23 (10): 3387-3405.   DOI: 10.1016/j.jia.2024.04.011
Abstract120)      PDF in ScienceDirect      
The exogenous application of melatonin by the root drenching method is an effective way to improve crop drought resistance.  However, the optimal concentration of melatonin by root drenching and the physiological mechanisms underlying melatonin-induced drought tolerance in cotton (Gossypium hirsutum L.) roots remain elusive.  This study determined the optimal concentration of melatonin by root drenching and explored the protective effects of melatonin on cotton roots.  The results showed that 50 μmol L–1 melatonin was optimal and significantly mitigated the inhibitory effect of drought on cotton seedling growth.  Exogenous melatonin promoted root development in drought-stressed cotton plants by remarkably increasing the root length, projected area, surface area, volume, diameter, and biomass.  Melatonin also mitigated the drought-weakened photosynthetic capacity of cotton and regulated the endogenous hormone contents by regulating the relative expression levels of hormone-synthesis genes under drought stress.  Melatonin-treated cotton seedlings maintained optimal enzymatic and non-enzymatic antioxidant capacities, and produced relatively lower levels of reactive oxygen species and malondialdehyde, thus reducing the drought stress damage to cotton roots (such as mitochondrial damage).  Moreover, melatonin alleviated the yield and fiber length declines caused by drought stress.  Taken together, these findings show that root drenching with exogenous melatonin increases the cotton yield by enhancing root development and reducing the root damage induced by drought stress.  In summary, these results provide a foundation for the application of melatonin in the field by the root drenching method.


Reference | Related Articles | Metrics