Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2016 Mar 11;12:19. doi: 10.1186/s13007-016-0119-5

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© Fister et al. 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

PMC Copyright notice

Fig. 5 — Functional analysis of TcChi1. a Representative images of lesions from control (Ctrl, transformed with pGH00.0126) and leaves transiently transformed to overexpress TcChi1 2 days after Phytophthora tropicalis inoculation. Scale bar represents 1 cm. b Average lesion areas from control and TcChi1 overexpressing leaves were measured 3 days after inoculation using ImageJ. Bar charts represent the mean ± SE of measurements from 12 lesion spots from four leaf discs of each genotype. c Pathogen biomass was measured at the lesion sites by qPCR to determine the ratio of pathogen DNA to cacao DNA 2 days after inoculation. Bar charts represent four biological replicates, each with three technical replicates. d qRT-PCR analysis of TcChi1 transcript 2 days after vacuum infiltration. Data represent mean ± SE of three biological replicates. The asterisks denote a significant difference determined by single factor ANOVA analysis (p < 0.05)