6 research outputs found

    Cell Wall Invertase 3 Affects Cassava Productivity via Regulating Sugar Allocation From Source to Sink

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    Storage roots are the main sink for photo-assimilate accumulation and reflect cassava yield and productivity. Regulation of sugar partitioning from leaves to storage roots has not been elucidated. Cell wall invertases are involved in the hydrolysis of sugar during phloem unloading of vascular plants to control plant development and sink strength but have rarely been studied in root crops like cassava. MeCWINV3 encodes a typical cell wall invertase in cassava and is mainly expressed in vascular bundles. The gene is highly expressed in leaves, especially mature leaves, in response to diurnal rhythm. When MeCWINV3 was overexpressed in cassava, sugar export from leaves to storage roots was largely inhibited and sucrose hydrolysis in leaves was accelerated, leading to increased transient starch accumulation by blocking starch degradation and reduced overall plant growth. The progress of leaf senescence was promoted in the MeCWINV3 over-expressed cassava plants with increased expression of senescence-related genes. Storage root development was also delayed because of dramatically reduced sugar allocation from leaves. As a result, the transcriptional expression of starch biosynthetic genes such as small subunit ADP-glucose pyrophosphorylase, granule-bound starch synthase I, and starch branching enzyme I was reduced in accordance with insufficient sugar supply in the storage roots of the transgenic plants. These results show that MeCWINV3 regulates sugar allocation from source to sink and maintains sugar balance in cassava, thus affecting yield of cassava storage roots

    Expression level of glutamine synthetase is increased in hepatocellular carcinoma and liver tissue with cirrhosis and chronic hepatitis B

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    Studies have suggested that glutamine synthetase (GS) is a potential marker of hepatocellular carcinoma (HCC). We aimed to evaluate the expression of GS in non-malignant liver tissue and serum GS levels in HCC, liver cirrhosis (LC), chronic hepatitis B (CHB), five kinds of extrahepatic diseases patients and healthy subjects. Immunohistochemistry (IHC) was used to assess GS expression in 260 liver tissue samples (from 120 HCC, 90 CHB stage 4, and 50 CHB stage 1–3 patients). Enzyme-linked immunosorbent assays of 325 samples (from 100 healthy donors, 33 CHB stage 1–3, 43 CHB stage 4, 111 HCC, and 45 extrahepatic diseases patients) were used to further analyze GS levels in serum. IHC studies showed the expression of GS in 70% of HCC patients, 46.7% of CHB stage 4 patients and 38% of CHB stage 1–3 patients. The χ2 tests showed significant difference between HCC samples and non-tumor tissues (P = 0.001 for HCC vs. CHB stage 4, P = 0.000 for HCC vs. CHB). Consistent with this, serum GS levels are increased in HCC and CHB stage 1–4 patients. There are significant differences among all samples (P = 0.000 for all), except CHB stage 1–3 versus CHB stage 4 (P = 0.552). Based on multiple linear regressions, HCC, CHB stage 1–4 and AFP were significantly associated with serum GS levels. In addition, in HCC group, TNM and Child-Pugh were significantly associated with GS levels. Expression of GS is increased in HCC, LC, and CHB. It may be a new serum marker for liver disease

    Complete chloroplast genome of Loropetalum chinense var. rubrum and phylogenetic analysis from Baoshan, China

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    In this study, the complete chloroplast genome of Loropetalum chinense var. rubrum Yieh was sequenced and characterized. The chloroplast genome is 159,427 bp in length, and contains a large single-copy (LSC) region of 88,185 bp and a small single-copy (SSC) region of 18,772 bp separated by a pair of inverted repeat (IR) regions of 26,235 bp. There are 128 genes in the genome including 83 protein-coding, 37 tRNA, and eight rRNA genes. The overall GC is 38.0% and the LSC, SSC, and IR regions are 36.1, 32.7, and 43.1%, respectively. Phylogenetic analysis of L. chinense var. rubrum fully resolved it in a clade with L. subcordatum. This complete chloroplast genome will provide valuable insight into evolution, molecular breeding, and phylogenetic analysis of Loropetalum species

    The complete chloroplast genome of Pittosporum brevicalyx

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    Here, we report the complete chloroplast genome of Pittosporum brevicalyx. The genome is 153,388 bp in size, which is comprised of a large single-copy (LSC) region of 84,724 bp, a small single-copy (SSC) region of 18,716 bp, and two inverted repeat (IR) regions of 24,974 bp. The overall GC content of the plastome was 38.3%. The new sequence comprised 127 unique genes, including 82 protein-coding genes, 8 rRNA genes, and 37 tRNA genes. Phylogenetic analysis showed that P.brevicalyx was close to Pittosporum kerrii and Pittosporum eugenioides. These data may providing useful information for phyletic evolution of P.brevicalyx within the Pittosporaceae family

    Quantitative assessment of liver fibrosis (qFibrosis) reveals precise outcomes in Ishak “stable” patients on anti-HBV therapy

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    Abstract Current widely used semiquantitative histological assessment methods are insensitive to identify subtle changes of liver fibrosis. Therefore, to precisely assess therapeutic efficacy on chronic hepatitis B (CHB), we explored the utility of qFibrosis (a fully-quantitative morphometric method employing second harmonic generation/two photon excitation fluorescence) in liver fibrosis evaluation. Fibrosis changes were evaluated by Ishak fibrosis scoring and qFibrosis in CHB patients with paired liver biopsies before and after 78 weeks’ antiviral therapy. A total of 162 patients with qualified paired biopsies were enrolled. Ishak fibrosis scoring revealed that 42.6% (69/162) of the patients achieved fibrosis regression (≥1-point decrease), 51.9% (84/162) remained stable, and 5.5% (9/162) showed progression (≥1-point increase). qFibrosis showed similar trends in the groups of regression and progression patients as evaluated by Ishak. However, in Ishak stable patients, qFibrosis revealed hitherto undetected changes, allowing for further subcategorization into regression (“Regression by qFibrosis”; 40/84, 47.6%), stable (29/84, 34.5%), and progression (“Progression by qFibrosis”; 15/84, 17.9%) groups. These newly fine-tuned categories were supported by changes of morphological parameters of fibrosis, collagen percentage area, and liver stiffness measurements. In conclusion, qFibrosis can be used to quantitatively identify subtle changes of liver fibrosis in CHB patients after antiviral therapy
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