Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: Xingming Lian Clear advanced filters

  • Low temperature is a major factor limiting productivity in rice. Here the authors show that theCTB4a gene confers cold tolerance to japonicavarieties adapted to cold habitats at the booting stage of development, and propose that CTB4a acts via an interaction with the beta subunit of ATP synthase.

    • Zhanying Zhang
    • Jinjie Li
    • Zichao Li
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-13

  • Jie Luo, Xingming Lian and colleagues report results of a large genome-wide association study of metabolic variation in rice. They identify hundreds of common variants influencing metabolite levels and illustrate how this approach can complement classical trait mapping and provide insights into pathways of physiological and nutritional importance.

    • Wei Chen
    • Yanqiang Gao
    • Jie Luo
    Research
    Nature Genetics
    Volume: 46, P: 714-721

  • A study reports data from the first phase of the Chinese Pangenome Consortium including 116 de novo assemblies from 58 core samples representing 36 minority Chinese ethnic groups.

    • Yang Gao
    • Xiaofei Yang
    • Shuhua Xu
    ResearchOpen Access
    Nature
    Volume: 619, P: 112-121

  • Cloning quantitative trait loci (QTL) in crops is often slow and laborious. Here, the authors describe RapMap, a method to rapidly clone multiple QTL based on F2 gradient populations coupled with a co-segregation standard, and show how it can be used to identify genes controlling grain size in rice.

    • Juncheng Zhang
    • Dejian Zhang
    • Yibo Li
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-18

  • Next-generation sequencing technology has made the generation of huge amounts of genetic data possible, but phenotype characterization remains slow and difficult. Here the authors develop a high-throughput phenotyping facility for rice that is able to accurately identify and characterize traits related to morphology, biomass and yield.

    • Wanneng Yang
    • Zilong Guo
    • Lizhong Xiong
    ResearchOpen Access
    Nature Communications
    Volume: 5, P: 1-9