Back

A quantitative survey of the blueberry (Vaccinium spp.) nectar microbiome: variation between cultivars, locations, and farm management approaches

Rering, C.; Rudolph, A.; Li, Q.-B.; Read, Q.; Munoz, P.; Ternest, J.; Hunter, C.

2023-09-11 microbiology
10.1101/2023.09.11.556904 bioRxiv
Show abstract

Microbes in floral nectar can impact both their host plants and floral visitors, yet little is known about the nectar microbiome of most pollinator-dependent crops. In this study, we examined the abundance and composition of the fungi and bacteria inhabiting Vaccinium spp. nectar, as well as nectar volume and sugar concentrations, hypothesizing that nectar traits and microbial communities would vary between plants. We compared wild V. myrsinites with two field-grown V. corymbosum cultivars collected from two organic and two conventional farms. Differences in nectar traits and microbiomes were identified between V. corymbosum cultivars but not Vaccinium species. The microbiome of cultivated plants also varied greatly between farms, whereas management regime had only subtle effects, with higher fungal populations detected under organic management. Nectars were hexose-dominant, and sugars were depleted in nectar with higher cell densities. Bacteria were more common than fungi in blueberry nectar, although both were frequently detected and co-occurred more often than would be predicted by chance. Cosmopolitan blueberry nectar microbes that were isolated in all plants, including Rosenbergiella sp. and Symmetrospora symmetrica, were identified. This study provides the first systematic report of the blueberry nectar microbiome, which may have important implications for pollinator and crop health. One-sentence summaryParallel analysis of blueberry crops and a wild relative offers insight into the impacts of management and domestication on the nectar microbiome O_FIG O_LINKSMALLFIG WIDTH=183 HEIGHT=200 SRC="FIGDIR/small/556904v1_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@15f36caorg.highwire.dtl.DTLVardef@63496org.highwire.dtl.DTLVardef@1667a6eorg.highwire.dtl.DTLVardef@eff26e_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Phytobiomes Journal
24 papers in training set
Top 0.1%
18.5%
2
PLANTS, PEOPLE, PLANET
21 papers in training set
Top 0.1%
6.3%
3
mSystems
361 papers in training set
Top 2%
4.8%
4
mSphere
281 papers in training set
Top 0.9%
4.8%
5
mBio
750 papers in training set
Top 4%
4.3%
6
Applied and Environmental Microbiology
301 papers in training set
Top 0.7%
3.9%
7
Environmental Microbiology
119 papers in training set
Top 0.9%
3.6%
8
Plant Biotechnology Journal
56 papers in training set
Top 0.4%
3.1%
9
eLife
5422 papers in training set
Top 34%
2.3%
50% of probability mass above
10
Microbiology Spectrum
435 papers in training set
Top 2%
2.1%
11
New Phytologist
309 papers in training set
Top 3%
2.1%
12
Plant Direct
81 papers in training set
Top 0.9%
2.1%
13
Microbiome
139 papers in training set
Top 1%
2.1%
14
PLOS ONE
4510 papers in training set
Top 51%
1.9%
15
Cell Reports
1338 papers in training set
Top 22%
1.9%
16
Phytopathology®
28 papers in training set
Top 0.3%
1.9%
17
Frontiers in Marine Science
55 papers in training set
Top 0.6%
1.7%
18
Environmental Microbiome
26 papers in training set
Top 0.2%
1.7%
19
Scientific Reports
3102 papers in training set
Top 62%
1.5%
20
The ISME Journal
194 papers in training set
Top 2%
1.5%
21
Frontiers in Plant Science
240 papers in training set
Top 4%
1.5%
22
Nature Communications
4913 papers in training set
Top 55%
1.3%
23
Molecular Ecology
304 papers in training set
Top 3%
1.3%
24
Current Biology
596 papers in training set
Top 11%
1.2%
25
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 40%
0.9%
26
Frontiers in Microbiology
375 papers in training set
Top 7%
0.9%
27
Environmental Microbiology Reports
27 papers in training set
Top 0.6%
0.9%
28
ISME Communications
103 papers in training set
Top 2%
0.9%
29
G3
33 papers in training set
Top 0.5%
0.7%
30
npj Biofilms and Microbiomes
56 papers in training set
Top 2%
0.7%