Chabi Malika, Goulas Estelle, Galinousky Dmitry, Blervacq Anne-Sophie, Lucau-Danila Anca, Neutelings Godfrey, Grec Sébastien, Day Arnaud, Chabbert Brigitte, Haag Katharina, Müssig Jörg, Arribat Sandrine, Planchon Sébastien, Renaut Jenny, Hawkins Simon
Université de Lille, CNRS, UMR 8576 - UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
Université de Lille, UMRT 1158 BioEcoAgro, Institut Charles Viollette, Lille, France.
Front Plant Sci. 2023 Jul 17;14:1204016. doi: 10.3389/fpls.2023.1204016. eCollection 2023.
One of the biggest challenges for a more widespread utilization of plant fibers is to better understand the different molecular factors underlying the variability in fineness and mechanical properties of both elementary and scutched fibers. Accordingly, we analyzed genome-wide transcription profiling from bast fiber bearing tissues of seven different flax varieties (4 spring, 2 winter fiber varieties and 1 winter linseed) and identified 1041 differentially expressed genes between varieties, of which 97 were related to cell wall metabolism. KEGG analysis highlighted a number of different enriched pathways. Subsequent statistical analysis using Partial Least-Squares Discriminant Analysis showed that 73% of the total variance was explained by the first 3 X-variates corresponding to 56 differentially expressed genes. Calculation of Pearson correlations identified 5 genes showing a strong correlation between expression and morphometric data. Two-dimensional gel proteomic analysis on the two varieties showing the most discriminant and significant differences in morphometrics revealed 1490 protein spots of which 108 showed significant differential abundance. Mass spectrometry analysis successfully identified 46 proteins representing 32 non-redundant proteins. Statistical clusterization based on the expression level of genes corresponding to the 32 proteins showed clear discrimination into three separate clusters, reflecting the variety type (spring-/winter-fiber/oil). Four of the 32 proteins were also highly correlated with morphometric features. Examination of predicted functions for the 9 (5 + 4) identified genes highlighted lipid metabolism and senescence process. Calculation of Pearson correlation coefficients between expression data and retted fiber mechanical measurements (strength and maximum force) identified 3 significantly correlated genes. The genes were predicted to be connected to cell wall dynamics, either directly (Expansin-like protein), or indirectly (NAD(P)-binding Rossmann-fold superfamily protein). Taken together, our results have allowed the identification of molecular actors potentially associated with the determination of both fiber morphometrics, as well as fiber mechanical properties, both of which are key parameters for elementary fiber and scutched fiber quality in flax.
更广泛利用植物纤维面临的最大挑战之一是更好地理解影响单纤维和梳理纤维细度及机械性能变异性的不同分子因素。因此，我们分析了七个不同亚麻品种（4个春性品种、2个冬性纤维品种和1个冬性亚麻籽）韧皮纤维组织的全基因组转录谱，鉴定出品种间1041个差异表达基因，其中97个与细胞壁代谢相关。KEGG分析突出了许多不同的富集途径。随后使用偏最小二乘判别分析的统计分析表明，前3个X变量对应56个差异表达基因，解释了总方差的73%。Pearson相关性计算确定了5个在表达与形态测量数据之间显示出强相关性的基因。对形态测量方面表现出最具判别力和显著差异的两个品种进行二维凝胶蛋白质组分析，揭示了1490个蛋白质点，其中108个显示出显著的丰度差异。质谱分析成功鉴定出46种蛋白质，代表32种非冗余蛋白质。基于与32种蛋白质对应的基因表达水平进行的统计聚类显示，明显分为三个独立的簇，反映了品种类型（春性/冬性纤维/油料）。32种蛋白质中的4种也与形态测量特征高度相关。对鉴定出的9个（5 + 4）基因的预测功能进行检查，突出了脂质代谢和衰老过程。计算表达数据与沤制纤维机械测量值（强度和最大力）之间的Pearson相关系数，确定了3个显著相关的基因。这些基因预计与细胞壁动态直接（类伸展蛋白）或间接（NAD(P)结合罗斯曼折叠超家族蛋白）相关。综上所述，我们的结果有助于鉴定可能与纤维形态测量以及纤维机械性能测定相关的分子因素，这两者都是亚麻中单纤维和梳理纤维质量的关键参数。
