Genetics and Genomics of Plants, Center for Biotechnology (CeBiTec) & Faculty of Biology, Bielefeld University, 33615, Bielefeld, Germany.
Graduate School DILS, Bielefeld Institute for Bioinformatics Infrastructure (BIBI), Bielefeld University, 33615, Bielefeld, Germany.
BMC Genomics. 2023 Dec 6;24(1):748. doi: 10.1186/s12864-023-09823-2.
Infection by beet cyst nematodes (BCN, Heterodera schachtii) causes a serious disease of sugar beet, and climatic change is expected to improve the conditions for BCN infection. Yield and yield stability under adverse conditions are among the main breeding objectives. Breeding of BCN tolerant sugar beet cultivars offering high yield in the presence of the pathogen is therefore of high relevance.
To identify causal genes providing tolerance against BCN infection, we combined several experimental and bioinformatic approaches. Relevant genomic regions were detected through mapping-by-sequencing using a segregating F2 population. DNA sequencing of contrasting F2 pools and analyses of allele frequencies for variant positions identified a single genomic region which confers nematode tolerance. The genomic interval was confirmed and narrowed down by genotyping with newly developed molecular markers. To pinpoint the causal genes within the potential nematode tolerance locus, we generated long read-based genome sequence assemblies of the tolerant parental breeding line Strube U2Bv and the susceptible reference line 2320Bv. We analyzed continuous sequences of the potential locus with regard to functional gene annotation and differential gene expression upon BCN infection. A cluster of genes with similarity to the Arabidopsis thaliana gene encoding nodule inception protein-like protein 7 (NLP7) was identified. Gene expression analyses confirmed transcriptional activity and revealed clear differences between susceptible and tolerant genotypes.
Our findings provide new insights into the genomic basis of plant-nematode interactions that can be used to design and accelerate novel management strategies against BCN.
甜菜胞囊线虫(BCN,Heterodera schachtii)的感染会导致严重的甜菜病害,预计气候变化将改善 BCN 感染的条件。在不利条件下的产量和产量稳定性是主要的育种目标之一。因此,培育具有高产量和对 BCN 感染具有耐受性的甜菜品种对于应对这种病害具有重要意义。
为了鉴定提供对 BCN 感染耐受性的候选基因,我们结合了多种实验和生物信息学方法。通过使用分离的 F2 群体进行测序作图,检测到了相关的基因组区域。通过对差异 F2 池进行 DNA 测序和对变异位置的等位基因频率进行分析,鉴定出一个单一的基因组区域赋予了线虫耐受性。通过对新开发的分子标记进行基因分型,进一步验证和缩小了该基因组区间。为了在潜在的线虫耐受基因座内确定候选基因,我们对耐受亲本育种系 Strube U2Bv 和易感参考系 2320Bv 进行了基于长读长的基因组序列组装。我们分析了潜在基因座的连续序列,研究其在功能基因注释和 BCN 感染后差异表达方面的作用。鉴定出一个与拟南芥基因编码的根结蛋白类似蛋白 7(NLP7)具有相似性的基因簇。基因表达分析证实了转录活性,并揭示了易感和耐受基因型之间的明显差异。
我们的研究结果为植物-线虫相互作用的基因组基础提供了新的见解,可用于设计和加速针对 BCN 的新型管理策略。