scholarly journals Construction, validation, and application of nocturnal pollen transport networks in an agro-ecosystem: a comparison using light microscopy and DNA metabarcoding

2018 ◽  
Vol 44 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Callum J. Macgregor ◽  
James J. N. Kitson ◽  
Richard Fox ◽  
Christoph Hahn ◽  
David H. Lunt ◽  
...  
2018 ◽  
Author(s):  
Callum J. Macgregor ◽  
James J.N. Kitson ◽  
Richard Fox ◽  
Christoph Hahn ◽  
David H. Lunt ◽  
...  

AbstractMoths are globally relevant as pollinators but nocturnal pollination remains poorly understood. Plant-pollinator interaction networks are traditionally constructed using either flower-visitor observations or pollen-transport detection using microscopy. Recent studies have shown the potential of DNA metabarcoding for detecting and identifying pollen-transport interactions. However, no study has directly compared the realised observations of pollen-transport networks between DNA metabarcoding and conventional light microscopy.Using matched samples of nocturnal moths, we construct pollen-transport networks using two methods: light microscopy and DNA metabarcoding. Focussing on the feeding mouthparts of moths, we develop and provide reproducible methods for merging DNA metabarcoding and ecological network analysis to better understand species-interactions.DNA metabarcoding detected pollen on more individual moths, and detected multiple pollen types on more individuals than microscopy, but the average number of pollen types per individual was unchanged. However, after aggregating individuals of each species, metabarcoding detected more interactions per moth species. Pollen-transport network metrics differed between methods, because of variation in the ability of each to detect multiple pollen types per moth and to separate morphologically-similar or related pollen. We detected unexpected but plausible moth-plant interactions with metabarcoding, revealing new detail about nocturnal pollination systems.The nocturnal pollination networks observed using metabarcoding and microscopy were similar, yet distinct, with implications for network ecologists. Comparisons between networks constructed using metabarcoding and traditional methods should therefore be treated with caution. Nevertheless, the potential applications of metabarcoding for studying plant-pollinator interaction networks are encouraging, especially when investigating understudied pollinators such as moths.


2018 ◽  
Vol 87 (4) ◽  
pp. 1008-1021 ◽  
Author(s):  
Andrew Lucas ◽  
Owen Bodger ◽  
Berry J. Brosi ◽  
Col R. Ford ◽  
Dan W. Forman ◽  
...  

2019 ◽  
Vol 33 (10) ◽  
pp. 1882-1892 ◽  
Author(s):  
Paula Banza ◽  
Callum J. Macgregor ◽  
Anabela D. F. Belo ◽  
Richard Fox ◽  
Michael J. O. Pocock ◽  
...  

Polar Biology ◽  
2018 ◽  
Vol 41 (8) ◽  
pp. 1651-1651
Author(s):  
Christine Urbanowicz ◽  
Ross A. Virginia ◽  
Rebecca E. Irwin

2013 ◽  
Vol 83 (1) ◽  
pp. 306-317 ◽  
Author(s):  
Cristina Tur ◽  
Beatriz Vigalondo ◽  
Kristian Trøjelsgaard ◽  
Jens M. Olesen ◽  
Anna Traveset

2015 ◽  
Vol 282 (1805) ◽  
pp. 20142934 ◽  
Author(s):  
Katherine A. Orford ◽  
Ian P. Vaughan ◽  
Jane Memmott

Bees, hoverflies and butterflies are taxa frequently studied as pollinators in agricultural and conservation contexts. Although there are many records of non-syrphid Diptera visiting flowers, they are generally not regarded as important pollinators. We use data from 30 pollen-transport networks and 71 pollinator-visitation networks to compare the importance of various flower-visiting taxa as pollen-vectors. We specifically compare non-syrphid Diptera and Syrphidae to determine whether neglect of the former in the literature is justified. We found no significant difference in pollen-loads between the syrphid and non-syrphid Diptera. Moreover, there was no significant difference in the level of specialization between the two groups in the pollen-transport networks, though the Syrphidae had significantly greater visitation evenness. Flower visitation data from 33 farms showed that non-syrphid Diptera made up the majority of the flower-visiting Diptera in the agricultural studies (on average 82% abundance and 73% species richness), and we estimate that non-syrphid Diptera carry 84% of total pollen carried by farmland Diptera. As important pollinators, such as bees, have suffered serious declines, it would be prudent to improve our understanding of the role of non-syrphid Diptera as pollinators.


2021 ◽  
Vol 4 ◽  
Author(s):  
Aydın Kaleli ◽  
E. Gozde Ozbayram ◽  
Reyhan Akçaalan

Diatoms are one of the major algal groups having an important role in the aquatic systems in which they constitute the main primary production with dinoflagellates in the coastal regions, and can contribute to photosynthesis at great rates. There had been intense effort to reveal diatom community with light microscopy (LM) and scanning electron microscopy (SEM), on the other hand, DNA barcoding techniques had been an interest to understand the microbiome in the last decades. Barcoding provided rapid response on the targeted organisms and introduced many new species. Recently, monocultural molecular studies showed that species could be described with accurate and reliable results. DNA metabarcoding approaches yielded to determine the whole organisms with available DNA data in the sample and major advances on next-generation sequencing platforms enable to widen the application of metabarcoding approach to various environmental samples. The aim of this study was to perform a comparative assessment of the diatom community structures in Bosphorus of Istanbul, Turkey by LM and 18S rDNA metabarcoding. Diatom samples were collected by brushing from the submerged stones of 10 cm2 of area taken from the coast of Beykoz on the Asian part of the Bosphorus, Istanbul and processed for LM and metabarcoding in June 2020. To concentrate the sample, the scrapes of the biofilm filtered from a 0.22-micron filter, and eDNA was extracted from that filter paper using MN NucleoSpin Soil DNA isolation kit (Macherey-Nagel, Germany) following the manufacturer’s protocol and diatom community profile was analyzed by targeting the V4 region of the 18S rRNA gene using Illumina® MiSeq™. DNA metabarcoding results revealed two classes Bacillariophyceae (91%) and Mediophyceae (9%) (Fig. 1). While small-celled Hyalosira delicatula Kützing was the most abundant taxa with 40% abundance and it was followed by Licmophora spp. (33%). 28% of Licmophora sequences could not be assigned to any species and remained as unidentified, Licmophora gracilis (Ehrenberg) Grunow (4%), and L. flabellata (0.9%) detected at lower abundances. Besides, one of the common genera of diatoms, Navicula spp., showed a relative abundance of 4% and another common genus Nitzschia spp. were represented only by N. commutata Grunow and composed 0.5% of the community. While 18S rDNA metabarcoding revealed 11 genera, LM investigation identified 17 genera belonging to 21 species. 4 genera were common in both techniques and Licmophora flabellata was detected in both LM and metabarcoding methods. Interestingly, small celled taxa which could be easily overlooked in LM was detected with 18S metabarcoding. The results presented a promising number of genera which could be detected by both methods (Fig. 2). DNA metabarcoding of diatoms is a new area of research in the coastal waters and there are few studies performed so far and this is the first study relying on the rDNA metabarcoding of diatoms in the aquatic systems in Turkey. The comparison of the taxa using microscopy methods and metabarcoding techniques indicated some significant differences in the diatom composition. However, the results here with 18 species with metabarcoding vice-versa 21 taxa with microscopy methods confirms poor biodiversity in the Bosphorus. However, this study based on one sampling effort in one station for the comparison of the two methods, we had LM results from more stations in different seasons supporting the lower biodiversity. eDNA data is scarce from the coastal areas and our results comprise a promising number of genera. Results of this study could provide data for further research, which high number of diatoms could be determined with eDNA metabarcoding.


Polar Biology ◽  
2017 ◽  
Vol 40 (11) ◽  
pp. 2253-2263 ◽  
Author(s):  
Christine Urbanowicz ◽  
Ross A. Virginia ◽  
Rebecca E. Irwin

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