2021
DOI: 10.1002/cyto.a.24330
|View full text |Cite
|
Sign up to set email alerts
|

Flow cytometric analysis of pollen and spores: An overview of applications and methodology

Abstract: Pollen grains are the male gametophytes in a seed-plant life cycle. Their small, particulate nature and crucial role in plant reproduction have made them an attractive object of study using flow cytometry (FCM), with a wide range of applications existing in the literature. While methodological considerations for many of these overlap with those for other tissue types (e.g., general considerations for the measurement of nuclear DNA content), the relative complexity of pollen compared to single cells presents so… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
18
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6
1

Relationship

4
3

Authors

Journals

citations
Cited by 15 publications
(18 citation statements)
references
References 59 publications
0
18
0
Order By: Relevance
“…As more long-term studies are completed using DNA metabarcoding, these methods could be used to understand recent change. Under these scenarios, pollen DNA metabarcoding and related methods could eventually become more predominant, especially given the benefits in terms of high-throughput for large sample sizes, and in combination with other newer technologies, such as flow cytometry (Kron et al, 2021) and machine-learning classifications (Goncalves et al, 2016) .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…As more long-term studies are completed using DNA metabarcoding, these methods could be used to understand recent change. Under these scenarios, pollen DNA metabarcoding and related methods could eventually become more predominant, especially given the benefits in terms of high-throughput for large sample sizes, and in combination with other newer technologies, such as flow cytometry (Kron et al, 2021) and machine-learning classifications (Goncalves et al, 2016) .…”
Section: Discussionmentioning
confidence: 99%
“…Machine learning (Goncalves et al, 2016) or deep learning (Dunker et al, 2021) methods can be used to improve the identification of taxa from the data obtained with either morphological or chemical methods. In addition, flow cytometry has been successfully used to count pollen and sort grains for downstream analyses (Kron, Loureiro, Castro, & Čertner, 2021). Combining chemical and image analyses with flow cytometry and deep learning methods can yield fast and accurate taxon identification and quantification (Dunker et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…However, the rapid advances in the "omics" tools and the management of "big data", as well the development of single-cell omics applications [101], will disclose many opportunities in occupational aerobiology. Although molecular and innovative methodologies have been utilized in recent years for the evaluation of different biocomponents in aerosols [102][103][104][105][106][107][108][109][110], analytical techniques such as portable pollen samplers [109,111,112] and flow cytometry [113,114], should be improved in order to expand the development of aerobiology. In this regard, their application in occupational settings assumes great importance [10,115], and they could also be aimed at investigating the role of occupants with regard to the transport of bioparticles using a multidisciplinary approach.…”
Section: Discussionmentioning
confidence: 99%
“…Regarding the keywords network (Figure 6), the most represented keyword was "aerobiology" (count = 555), a very predictable result considering it was the search input in the databases, and thus it was not considered thoroughly for the interpretation of results. Among others, the most represented keywords were "pollen" (113), "allergy" (65), "phenology" (42), "airborne pollen" (27), "climate change" (27), "fungal spore" (24), "meteorological parameter" (23), "bioaerosol" (23), "asthma" (20), "aeroallergen" (15), "fungi" (12), "pollen allergy" (12), "pollen calendar" (13), "aerosol" (12) and "meteorology" (10). Regarding centrality, the highest values were found for "pollen" (0.55), "asthma" (0.40), "allergy" (0.35), "meteorology" (0.27), "fungal spore" (0.23) and "airborne pollen" (0.20).…”
Section: Introductionmentioning
confidence: 99%
“…The preparation of nuclei from pollen grains usually requires a specialized isolation method [55]. Due to their particulate nature and rigid wall, most pollen grains escape unopened when chopped with a razor blade.…”
Section: Chopping and Alternative Methods Of Sampling Preparationmentioning
confidence: 99%