TY - JOUR
T1 - Qualitative and quantitative molecular construction of plant–pollinator network
T2 - Application and prospective
AU - Lang, Dandan
AU - Tang, Min
AU - Zhou, Xin
N1 - Publisher Copyright:
© 2018, Chinese Academy of Sciences. All rights reserved.
PY - 2018/5/20
Y1 - 2018/5/20
N2 - Pollinators serve key ecological functions, ensuring stable ecosystems and high agricultural yields. Hence, assessing ecosystem health and effects of agricultural management would benefit from understanding and monitoring pollination networks, which involves identifications of pollinators and pollinated plants. Classic approaches of morphology-based identification of plants and pollinators can be time-consuming, labor-intensive and costly, and require highly specialized taxonomic expertise. In comparison, DNA barcoding and high-throughput sequencing technologies can provide efficient and accurate identifications of plants and their pollinators, which may facilitate construction of pollination networks. Here we propose using sequencing technologies with a PCR-free genome-skimming work frame, using “super DNA barcode” as a new method to assess plant-pollinator networks. We expect this technique to improve resolution and accuracy of taxonomic identification to help gain quantitative information for bulk samples of pollinators or pollens. Al-though there are technical challenges to be resolved, the robustness of the new methodology has been validated in relevant biodiversity studies, suggesting promise in constructing pollination networks.
AB - Pollinators serve key ecological functions, ensuring stable ecosystems and high agricultural yields. Hence, assessing ecosystem health and effects of agricultural management would benefit from understanding and monitoring pollination networks, which involves identifications of pollinators and pollinated plants. Classic approaches of morphology-based identification of plants and pollinators can be time-consuming, labor-intensive and costly, and require highly specialized taxonomic expertise. In comparison, DNA barcoding and high-throughput sequencing technologies can provide efficient and accurate identifications of plants and their pollinators, which may facilitate construction of pollination networks. Here we propose using sequencing technologies with a PCR-free genome-skimming work frame, using “super DNA barcode” as a new method to assess plant-pollinator networks. We expect this technique to improve resolution and accuracy of taxonomic identification to help gain quantitative information for bulk samples of pollinators or pollens. Al-though there are technical challenges to be resolved, the robustness of the new methodology has been validated in relevant biodiversity studies, suggesting promise in constructing pollination networks.
KW - Chloroplast
KW - Metabarcoding
KW - Metagenome
KW - Mitochondria
KW - PCR-free
KW - Pollen
KW - Quantify
UR - http://www.scopus.com/inward/record.url?scp=85052211945&partnerID=8YFLogxK
U2 - 10.17520/biods.2018058
DO - 10.17520/biods.2018058
M3 - Review article
AN - SCOPUS:85052211945
SN - 1005-0094
VL - 26
SP - 445
EP - 456
JO - Biodiversity Science
JF - Biodiversity Science
IS - 5
ER -