Aihong Li

Keywords rural eldersadult child migrationmigration durationemotional healthChina Type Article Information Ageing & Society , Volume 44 , Issue 4 , April 2024 , pp. 939 - 962 Creative Commons This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. Copyright Copyright © The Author(s), 2022.

Abstract The role of de novo evolved genes from non-coding sequences in regulating morphological differentiation between species/subspecies remains largely unknown. Here, we show that a rice de novo gene GSE9 contributes to grain shape difference between indica/xian and japonica/geng varieties. GSE9 evolves from a previous non-coding region of wild rice Oryza rufipogon through the acquisition of start codon.

Introduction Bioinformatic data analysis has become an indispensable part of biological research. Different research projects have distinct data analysis needs. To handle massive amounts of biological data, researchers need to master the use of numerous bioinformatics software, especially those only available under a command-line environment, and assemble them into a practical workflow. This presents a great challenge for most wet-lab researchers and biologists.