Additional file 2: of Hypertension management for community-dwelling older people with diabetes in Nanchang, China: study protocol for a cluster randomized controlled trial

Intervention diary—patient version. (DOCX 27 kb

Additional file 3: of Hypertension management for community-dwelling older people with diabetes in Nanchang, China: study protocol for a cluster randomized controlled trial

Intervention record—community nurse and GP version. (DOCX 30 kb

Additional file 1: of Hypertension management for community-dwelling older people with diabetes in Nanchang, China: study protocol for a cluster randomized controlled trial

SPIRIT checklist. (PDF 806 kb

Additional file 4: of Hypertension management for community-dwelling older people with diabetes in Nanchang, China: study protocol for a cluster randomized controlled trial

Two-way referral letter. (DOCX 21 kb

Additional file 5: of Hypertension management for community-dwelling older people with diabetes in Nanchang, China: study protocol for a cluster randomized controlled trial

Usual care table. (DOCX 19 kb

Weakly variation of dissolved organic matter (DOC) for HighS plots (filled symbols) and for LowS plots (open symbols).

<p>The arrows refer to the date on which the plots were fertilised with SO₄²⁻.</p

Depth profiles of MeHg pore water concentrations sampled 0–10 cm, 10–20 cm, 20–30 cm and 30–40 cm below the groundwater level at the LowS (upper panel) and HighS (lower panel) plots.

<p>The vertical axis refers to the actual peat depths at which the water was sampled. Each bar represents the mean value (±SE) of MeHg from two plots for the particular treatment. For each treatment (LowS or HighS), significant differences (p<0.05) in the average pore water MeHg concentration between the sampling dates are designated by different upper case letters. Different lower case letters indicate significant differences (p<0.05) in MeHg concentrations between depths for each treatment and sampling date.</p

Weakly variations in A: concentrations of MeHg in pore water collected 10 cm below the groundwater surface at the time of sampling from HighS plots (filled symbols) or LowS plots (open symbols), as well as in the main stream draining the mire where the study was conducted (shaded squares).

<p>B: mean groundwater level from the HighS plots (filled symbols) or LowS plots (open symbols). The bars indicate SE. The arrows in A refer to the date on which the plots were fertilised with SO₄²⁻.</p

Weakly fluctuations of A: SO₄²⁻ (filled symbols) and pore water MeHg (open symbols) concentrations, and B: the groundwater level between June 16^th and September 22^nd for both HighS plots.

<p>The concentration of SO₄²⁻ in the LowS plots was below the detection limit during the sampling period. The dotted line in A indicates the detection limit for SO₄²⁻ (0.5 mg L⁻¹). The pH in the pore water for the two HighS plots are shown in panel B by the two lines without labels. The arrows in B refer to the date on which the plots were fertilised with SO₄²⁻.</p

Table2_Comparative transcriptomics identifies the key in planta-expressed genes of Fusarium graminearum during infection of wheat varieties.XLSX

Fusarium head blight (FHB), caused mainly by the fungus Fusarium graminearum, is one of the most devastating diseases in wheat, which reduces the yield and quality of grain. Fusarium graminearum infection of wheat cells triggers dynamic changes of gene expression in both F. graminearum and wheat, leading to molecular interactions between pathogen and host. The wheat plant in turn activates immune signaling or host defense pathways against FHB. However, the mechanisms by which F. graminearum infects wheat varieties with different levels of host resistance are largely limited. In this study, we conducted a comparative analysis of the F. graminearum transcriptome in planta during the infection of susceptible and resistant wheat varieties at three timepoints. A total of 6,106 F. graminearum genes including those functioning in cell wall degradation, synthesis of secondary metabolites, virulence, and pathogenicity were identified during the infection of different hosts, which were regulated by hosts with different genetic backgrounds. Genes enriched with metabolism of host cell wall components and defense response processes were specifically dynamic during the infection with different hosts. Our study also identified F. graminearum genes that were specifically suppressed by signals derived from the resistant plant host. These genes may represent direct targets of the plant defense against infection by this fungus. Briefly, we generated databases of in planta-expressed genes of F. graminearum during infection of two different FHB resistance level wheat varieties, highlighted their dynamic expression patterns and functions of virulence, invasion, defense response, metabolism, and effector signaling, providing valuable insight into the interactions between F. graminearum and susceptible/resistant wheat varieties.</p