Suppr超能文献

水通道蛋白基因作为耐砷植物选择标记的评估

Evaluation of Aquaporin Gene as Marker for Arsenic-Tolerant Plant Selection.

作者信息

De Paolis Angelo, De Caroli Monica, Rojas Makarena, Curci Lorenzo Maria, Piro Gabriella, Di Sansebastiano Gian-Pietro

机构信息

Institute of Sciences of Food Production (ISPA-CNR), 73100 Lecce, Italy.

DiSTeBA (Department of Biological and Environmental Sciences and Technologies), University of Salento, 73100 Lecce, Italy.

出版信息

Plants (Basel). 2022 Jul 28;11(15):1968. doi: 10.3390/plants11151968.

Abstract

(L.) Greuter is gaining attention for its high genetic plasticity and ability to adapt to adverse environmental conditions, including heavy metal and metalloid pollution. Uptake and translocation of cadmium, copper, iron, nickel, lead, and zinc to the shoots have been characterized, but its performance with arsenic is less known and sometimes contradictory. Tolerance to As is not related to a reduced uptake, but the null mutation of the aquaporin gene in Arabidopsis makes the plant completely resistant to the metalloid. This aquaporin, localized in the endoplasmic reticulum, is responsible for arsenite and antimony (Sb) membrane permeation, but the uptake of arsenite occurs also in the null mutant, suggesting a more sophisticated action mechanism than direct uptake. In this study, the gene homologue is cloned and its expression profile in roots and shoots is characterized in different arsenic stress conditions. The use of clonal lines allowed to evidence that expression level is influenced by arsenic stress. The proportion of gene expression in roots and shoots can be used to generate an index that appears to be a promising putative selection marker to predict arsenic-resistant lines of plants.

摘要

(L.) Greuter因其高遗传可塑性以及适应包括重金属和类金属污染在内的不利环境条件的能力而受到关注。镉、铜、铁、镍、铅和锌向地上部的吸收和转运已得到表征,但其对砷的表现了解较少且有时相互矛盾。对砷的耐受性与吸收减少无关,但拟南芥中水通道蛋白基因的无效突变使植物对该类金属完全抗性。这种定位于内质网的水通道蛋白负责亚砷酸盐和锑(Sb)的膜渗透,但在无效突变体中也会发生亚砷酸盐的吸收,这表明其作用机制比直接吸收更为复杂。在本研究中,克隆了该基因同源物,并在不同砷胁迫条件下表征了其在根和地上部的表达谱。使用克隆系可以证明 表达水平受砷胁迫影响。根和地上部基因表达的比例可用于生成一个指数,该指数似乎是预测 植物抗砷品系的一个有前景的推定选择标记。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7909/9370626/78d81a9d933f/plants-11-01968-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验