Rapid assessment of insect pollination services to inform decision-making

Pollinator declines have prompted efforts to assess how land-use change affects insect pollinators and pollination services in agricultural landscapes. Yet many tools to measure insect pollination services require substantial landscape-scale data and technical expertise. In expert workshops, 3 straightforward methods (desk-based method, field survey, and empirical manipulation with exclusion experiments) for rapid insect pollination assessment at site scale were developed to provide an adaptable framework that is accessible to nonspecialist with limited resources. These methods were designed for TESSA (Toolkit for Ecosystem Service Site-Based Assessment) and allow comparative assessment of pollination services at a site of conservation interest and in its most plausible alternative state (e.g., converted to agricultural land). We applied the methods at a nature reserve in the United Kingdom to estimate the value of insect pollination services provided by the reserve. The economic value of pollination services provided by the reserve ranged from US$6163 to US$11,546/year. The conversion of the reserve to arable land would provide no insect pollination services and a net annual benefit from insect-pollinated crop production of approximately $1542/year (US$24∙ha^-1 ∙year^-1 ). The methods had wide applicability and were readily adapted to different insect-pollinated crops: rape (Brassica napus) and beans (Vicia faba) crops. All methods were rapidly employed under a low budget. The relatively less robust methods that required fewer resources yielded higher estimates of annual insect pollination benefit.

Identification of lncRNAs in response to infection by Plasmodiophora brassicae in Brassica napus and development of lncRNA-based SSR markers

Clubroot resistance in spring canola has been introgressed from different Brassica sources; however, molecular mechanism underlying this resistance, especially the involvement of long non-coding RNAs (lncRNAs), is yet to be understood. We identified 464 differentially expressed (DE) lncRNAs from the roots of clubroot-resistant canola, carrying resistance on chromosome BnaA03, and susceptible canola lines challenged with Plasmodiophora brassicae pathotype 3. Pathway enrichment analysis showed that most of the target genes regulated by these DE lncRNAs belonged to plant-pathogen interaction and hormone signaling, as well as primary and secondary metabolic pathways. Comparative analysis of these lncRNAs with 530 previously reported DE lncRNAs, identified using resistance located on BnaA08, detected 12 lncRNAs that showed a similar trend of upregulation in both types of resistant lines; these lncRNAs probably play a fundamental role in clubroot resistance. We identified SSR markers within 196 DE lncRNAs. Genotyping of two DH populations carrying resistance on BnaA03 identified a marker capable of detecting the resistance in 98% of the DH lines. To our knowledge, this is the first report of the identification of SSRs within lncRNAs responsive to P. brassicae infection, demonstrating the potential use of lncRNAs in the breeding of Brassica crops.

Genetics and molecular mapping of resistance to Plasmodiophora brassicae pathotypes 2, 3, 5, 6, and 8 in rutabaga (Brassica napus var. napobrassica)

Clubroot disease, caused by Plasmodiophora brassicae, is a threat to the production of Brassica crops including oilseed B. napus. In Canada, several pathotypes of this pathogen, such as pathotypes 2, 3, 5, 6, and 8, were identified, and resistance to these pathotypes was found in a rutabaga (B. napus var. napobrassica) genotype. In this paper, we report the genetic basis and molecular mapping of this resistance by use of F₂, backcross (BC₁), and doubled haploid (DH) populations generated from crossing of this rutabaga line to a susceptible spring B. napus canola line. The F₁, F₂, and BC₁ populations were evaluated for resistance to pathotype 3, and the DH population was evaluated for resistance to pathotypes 2, 3, 5, 6, and 8. A 3:1 segregation in F₂ and a 1:1 segregation in BC₁ were found for resistance to pathotype 3, and a 1:1 segregation was found in the DH population for resistance to all pathotypes. Molecular mapping by using the DH population identified a genomic region on chromosome A8 carrying resistance to all five pathotypes. This suggests that a single gene or a cluster of genes, located in this genomic region, is involved in the control of resistance to these pathotypes.