Li Qiang, San Clemente Hélène, He Yongrui, Fu Yongyao, Dunand Christophe
Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing 400712, China.
Laboratoire de Recherche en Sciences Végétales, CNRS, UPS, Université de Toulouse, 31326 Castanet-Tolosan, France.
Antioxidants (Basel). 2020 Mar 21;9(3):257. doi: 10.3390/antiox9030257.
is a worldwide hard-wood species which increasingly focused on. To adapt to various biotic and abiotic stresses, have evolved complex mechanisms, increasing the cellular concentration of reactive oxygen species (ROS) by numerous ROS controlling enzymes. To better analyse the ROS gene network and discuss the differences between four species, ROS gene network including 11 proteins families (1CysPrx, 2CysPrx, APx, APx-R, CIII Prx, Diox, GPx, Kat, PrxII, PrxQ and Rboh) were annotated and compared in an expert and exhaustive manner from the genomic data available from , , and . In addition, a specific sequencing strategy was performed in order to determine if the missed sequences in at least one organism are the results of gain/loss events or only sequencing gaps. We observed that the automatic annotation applied to multigenic families is the source of miss-annotation. Base on the family size, the 11 families can be categorized into duplicated gene families (CIII Prx, Kat, 1CysPrx, and GPx), which contain a lot of gene duplication events and non-duplicated families (APx, APx-R, Rboh, DiOx, 2CysPrx, PrxII, and PrxQ). The gene family sizes are much larger in than most of other angiosperms due to recent gene duplications, which could give higher adaptability to environmental changes and stresses. The cross-species comparative analysis shows gene gain and loss events during the evolutionary process. The 11 families possess different expression patterns, while in the genus, the ROS families present similar expression patterns. Overall, the comparative analysis might be a good criterion to evaluate the adaptation of different species with different characters, but only if data mining is as exhaustive as possible. It is also a good indicator to explore the evolutionary process.
是一种受到全球日益关注的硬木树种。为了适应各种生物和非生物胁迫,[树种名称]已经进化出复杂的机制,通过多种活性氧控制酶来提高细胞内活性氧(ROS)的浓度。为了更好地分析ROS基因网络并讨论四种[树种名称]之间的差异,从[树种名称1]、[树种名称2]、[树种名称3]和[树种名称4]可获得的基因组数据中,以专业且详尽的方式对包括11个蛋白质家族(1CysPrx、2CysPrx、APx、APx-R、CIII Prx、Diox、GPx、Kat、PrxII、PrxQ和Rboh)的ROS基因网络进行了注释和比较。此外,还实施了一种特定的测序策略,以确定至少一种生物体中缺失的序列是基因获得/丢失事件的结果还是仅仅是测序缺口。我们观察到应用于多基因家族的自动注释是错误注释的来源。基于家族大小,这11个家族可分为重复基因家族(CIII Prx、Kat、1CysPrx和GPx),其中包含许多基因重复事件,以及非重复家族(APx、APx-R、Rboh、DiOx、2CysPrx、PrxII和PrxQ)。由于最近的基因重复,[树种名称]中的基因家族大小比大多数其他被子植物大得多,这可能使其对环境变化和胁迫具有更高的适应性。跨物种比较分析显示了进化过程中的基因获得和丢失事件。这11个家族具有不同的表达模式,而在[属名]属中,ROS家族呈现相似的表达模式。总体而言,比较分析可能是评估具有不同特征的不同物种适应性的一个良好标准,但前提是数据挖掘要尽可能详尽。它也是探索进化过程的一个良好指标。