Evaluating different interrow distance between corn and soybean for optimum growth, production and nutritive value of intercropped forages

Kim, Jeong-Tae; Song, Yowook; Kim, Dong Woo; Fiaz, Muhammad; Kwon, Chan Ho

doi:10.1186/s40781-017-0158-0

Cited by 19 publications

(15 citation statements)

References 17 publications

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“…This legume is an excellent source of vegetable protein, that is, vegetable oil, and it contains many special nutrients, such as isoflavone, phytosterol, and saponin [1]. However, in some developing countries, with the rapid industrialization and urbanization, as well as large population base, the arable land resources have become increasingly depleted, and the gap between soybean supply and demand continuously increases [2]. Intercropping systems are beneficial for biodiversity conservation and increase crop yield in many countries [3–5].…”

Section: Introductionmentioning

confidence: 99%

Soybean (Glycine max L. Merr.) seedlings response to shading: leaf structure, photosynthesis and proteomic analysis

et al. 2019

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BackgroundIntercropping and close planting are important cultivation methods that increase soybean yield in agricultural production. However, plant shading is a major abiotic stress factor that influences soybean growth and development. Although shade affects leaf morphological parameters and decreases leaf photosynthesis capacity, information on the responses of soybean leaf photosynthesis to shading at proteomic level is still lacking.ResultsCompared with leaves under normal light (CK) treatment, leaves under shading treatment exhibited decreased palisade and spongy tissue thicknesses but significantly increased cell gap. Although shade increased the number of the chloroplast, the thickness of the grana lamella and the photosynthetic pigments per unit mass, but the size of the chloroplast and starch grains and the rate of net photosynthesis decreased compared with those of under CK treatment. A total of 248 differentially expressed proteins, among which 138 were upregulated, and 110 were downregulated, in soybean leaves under shading and CK treatments were detected via isobaric tags for relative and absolute quantification labeling in the three biological repeats. Differentially expressed proteins were classified into 3 large and 20 small groups. Most proteins involved in porphyrin and chlorophyll metabolism, photosynthesis-antenna proteins and carbon fixation in photosynthetic organisms were upregulated. By contrast, proteins involved in photosynthesis were downregulated. The gene family members corresponding to differentially expressed proteins, including protochlorophyllide reductase (Glyma06g247100), geranylgeranyl hydrogenase (Ggh), LHCB1 (Lhcb1) and ferredoxin (N/A) involved in the porphyrin and chlorophyll metabolism, photosynthesis-antenna proteins and photosynthesis pathway were verified with real-time qPCR. The results showed that the expression patterns of the genes were consistent with the expression patterns of the corresponding proteins.ConclusionsThis study combined the variation of the soybean leaf structure and differentially expressed proteins of soybean leaves under shading. These results demonstrated that shade condition increased the light capture efficiency of photosystem II (PSII) in soybean leaves but decreased the capacity from PSII transmitted to photosystem II (PSI). This maybe the major reason that the photosynthetic capacity was decreased in shading.Electronic supplementary materialThe online version of this article (10.1186/s12870-019-1633-1) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Soybean (Glycine max L. Merr.) seedlings response to shading: leaf structure, photosynthesis and proteomic analysis

et al. 2019

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“…LncRNAs are widely expressed in human tissues and, while less abundant, they are more tissue-specific than protein-coding genes [ 39 , 40 ]. Based on the genomic positions relative to protein-coding genes, lncRNAs can be classified into intergenic or intragenic, and sense, antisense, or bidirectional lncRNAs [ 41 ]. They share the same transcriptional machinery as protein-coding genes and usually undergo similar co-transcriptional and post-transcriptional processing events: 5’-capping, splicing, and 3’-polyadenylation [ 42 ].…”

Section: Lncrna Genes and Their Expression Patternsmentioning

confidence: 99%

The Interplay between Long Noncoding RNAs and Proteins of the Epigenetic Machinery in Ovarian Cancer

Calanca

Abildgaard

Rainho

et al. 2020

Cancers

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Comprehensive large-scale sequencing and bioinformatics analyses have uncovered a myriad of cancer-associated long noncoding RNAs (lncRNAs). Aberrant expression of lncRNAs is associated with epigenetic reprogramming during tumor development and progression, mainly due to their ability to interact with DNA, RNA, or proteins to regulate gene expression. LncRNAs participate in the control of gene expression patterns during development and cell differentiation and can be cell and cancer type specific. In this review, we described the potential of lncRNAs for clinical applications in ovarian cancer (OC). OC is a complex and heterogeneous disease characterized by relapse, chemoresistance, and high mortality rates. Despite advances in diagnosis and treatment, no significant improvements in long-term survival were observed in OC patients. A set of lncRNAs was associated with survival and response to therapy in this malignancy. We manually curated databases and used bioinformatics tools to identify lncRNAs implicated in the epigenetic regulation, along with examples of direct interactions between the lncRNAs and proteins of the epigenetic machinery in OC. The resources and mechanisms presented herein can improve the understanding of OC biology and provide the basis for further investigations regarding the selection of novel biomarkers and therapeutic targets.

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“…Phytochemicals present in W. somnifera are known to possess antiviral activity against H1N1 influenza virus, HIV and infectious bursal disease. Studies indicate that the antiviral mode of action of W. somnifera compounds include viral protein inhibition, mitigation of viral infection induced inflammation as well as immunomodulatory effects [ [13] , [14] , [15] ]. W. somnifera possess both characteristic and non-characteristic (present in other plant also) phytochemicals.…”

Section: Introductionmentioning

confidence: 99%

Phytochemicals present in Indian ginseng possess potential to inhibit SARS-CoV-2 virulence: A molecular docking and MD simulation study

Kushwaha

Singh

Prajapati

et al. 2021

Microbial Pathogenesis

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Coronaviruses are deadly and contagious pathogens that affects people in different ways. Researchers have increased their efforts in the development of antiviral agents against coronavirus targeting M pro protein (main protease) as an effective drug target. The present study explores the inhibitory potential of characteristic and non-characteristic Withania somnifera (Indian ginseng) phytochemicals (n ≈ 100) against SARS-Cov-2 M pro protein. Molecular docking studies revealed that certain W. somnifera compounds exhibit superior binding potential (−6.16 to −12.27 kcal/mol) compared to the standard inhibitors (−2.55 to −6.16 kcal/mol) including nelfinavir and lopinavir. The non-characteristic compounds (quercetin-3-rutinoside-7-glucoside, rutin and isochlorogenic acid B) exhibited higher inhibitory potential in comparison to characteristic W. somnifera compounds withanolide and withanone. Molecular dynamics (MD) simulation studies of the complex for 100 ns confirm favorable and stable binding of the lead molecule. The MMPBSA calculation of the last 10 ns of the protein-ligand complex trajectory exhibited stable binding of quercetin-3-rutinoside-7-glucoside at the active site of SARS-Cov-2 M pro . Taken together, the study demonstrates that the non-characteristic compounds present in W. somnifera possess enhanced potential to bind SARS-Cov-2 M pro active site. We further recommend in vitro and in vivo experimentation to validate the anti-SARS-CoV-2 potential of these lead molecules.

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Evaluating different interrow distance between corn and soybean for optimum growth, production and nutritive value of intercropped forages

Cited by 19 publications

References 17 publications

Soybean (Glycine max L. Merr.) seedlings response to shading: leaf structure, photosynthesis and proteomic analysis

Soybean (Glycine max L. Merr.) seedlings response to shading: leaf structure, photosynthesis and proteomic analysis

The Interplay between Long Noncoding RNAs and Proteins of the Epigenetic Machinery in Ovarian Cancer

Phytochemicals present in Indian ginseng possess potential to inhibit SARS-CoV-2 virulence: A molecular docking and MD simulation study

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