| Literature DB >> 35630383 |
Artúr Botond Csorba1, Ciprian George Fora2, János Bálint1, Tamás Felföldi3, Attila Szabó4, István Máthé5, Hugh D Loxdale6, Endre Kentelky1, Imre-István Nyárádi1, Adalbert Balog1.
Abstract
In this study, different maize fields cultivated under different management systems were sampled to test corn leaf aphid, Rhopalosiphum maidis, populations in terms of total and endosymbiotic bacterial diversity. Corn leaf aphid natural populations were collected from traditionally managed maize fields grown under high agricultural and natural landscape diversity as well as conventionally treated high-input agricultural fields grown in monoculture and with fertilizers use, hence with low natural landscape diversity. Total bacterial community assessment by DNA sequencing was performed using the Illumina MiSeq platform. In total, 365 bacterial genera were identified and 6 endosymbiont taxa. A high abundance of the primary endosymbiont Buchnera and secondary symbionts Serratia and Wolbachia were detected in all maize crops. Their frequency was found to be correlated with the maize management system used, probably with fertilizer input. Three other facultative endosymbionts ("Candidatus Hamiltonella", an uncultured Rickettsiales genus, and Spiroplasma) were also recorded at different frequencies under the two management regimes. Principal components analyses revealed that the relative contribution of the obligate and dominant symbiont Buchnera to the aphid endosymbiotic bacterial community was 72%, whereas for the managed system this was only 16.3%. When facultative symbionts alone were considered, the effect of management system revealed a DNA diversity of 23.3%.Entities:
Keywords: 16S rRNA gene; amplicon sequencing; large-scale crops; monoculture; primary symbionts; secondary symbionts; total bacterial diversity
Year: 2022 PMID: 35630383 PMCID: PMC9145372 DOI: 10.3390/microorganisms10050939
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Cropping systems and management used in maize fields assessed.
| Cropping System | Management | Sample Code | Symbionts Detected |
|---|---|---|---|
| A11 |
| ||
| A13 |
| ||
| A01 |
| ||
| A05 |
| ||
| Only organic fertilizers 50 t/ha before seeding. | A03 |
| |
| Only organic fertilizers 50 t/ha before seeding. | A07 |
| |
| No treatment (Control crop) | A09 |
|
Total bacterial diversity indices including endosymbiotic species.
| Farming | Large Scale-Farming | Medium-Scale Farming | Small-Scale Farming | Gardens | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Codes | A11 | A12 | A13 | A14 | A01 | A02 | A05 | A06 | A03 | A04 | A07 | A08 | A09 | A10 |
| No. of genera | 28 | 166 | 47 | 55 | 47 | 31 | 46 | 59 | 60 | 59 | 63 | 33 | 56 | 50 |
| Simpson | 0.920 | 0.993 | 0.964 | 0.969 | 0.966 | 0.937 | 0.966 | 0.967 | 0.971 | 0.971 | 0.973 | 0.944 | 0.969 | 0.966 |
| Shannon_H | 2.922 | 4.998 | 3.627 | 3.733 | 3.582 | 3.079 | 3.578 | 3.779 | 3.802 | 3.754 | 3.872 | 3.168 | 3.716 | 3.592 |
| Evenness_e^H/S | 0.664 | 0.893 | 0.800 | 0.760 | 0.765 | 0.701 | 0.778 | 0.742 | 0.746 | 0.724 | 0.763 | 0.720 | 0.734 | 0.726 |
Figure 1Dominant bacterial phylum variations by sites according to the DNA sequences frequency (A) and endosymbiontic bacterial genera variations by sites according to the DNA sequences frequency (B).
Figure 2Relative abundance patterns of the endosymbiotic taxa present on all maize fields using UPGMA as clustering algorithm and Bray–Curtis similarity calculation. Endosymbiontic taxa were sorted by their abundance (total genomic DNA) to the differentiation between managements systems. Data are shown for taxa with >0.1% contribution. Blue colours represent no frequency, green a low frequency, yellow medium frequency and red high frequency.
Figure 3Principal components analyses (PCAs) using the proportion of variation in each PCA axis (bacterial DNA diversity as axis 1 and management as axis 2) explained by the most frequent obligate and facultative bacterial distribution (A) and only facultative bacterial distributions (B). The average count of each bacterial DNA reads numbers detected and log10 transformed from each sample grouping as response variables as component 1 (PCA axis1) and management systems as component 2 (PCA axis 2) scores were used.