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Discovery of microRNA-like small RNAs in pathogenic plant fungus Verticillium nonalfalfae using high-throughput sequencing and qPCR and RLM-RACE validation
ID
Jeseničnik, Taja
(
Avtor
),
ID
Štajner, Nataša
(
Avtor
),
ID
Radišek, Sebastjan
(
Avtor
),
ID
Kumar Mishra, Ajay
(
Avtor
),
ID
Košmelj, Katarina
(
Avtor
),
ID
Kunej, Urban
(
Avtor
),
ID
Jakše, Jernej
(
Avtor
)
PDF - Predstavitvena datoteka,
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(2,52 MB)
MD5: 4758A1524FCFB510A629F8844558ABB4
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/1422-0067/23/2/900
Galerija slik
Izvleček
Verticillium nonalfalfae (V. nonalfalfae) is one of the most problematic hop (Humulus lupulus L.) pathogens, as the highly virulent fungal pathotypes cause severe annual yield losses due to infections of entire hop fields. In recent years, the RNA interference (RNAi) mechanism has become one of the main areas of focus in plant—fungal pathogen interaction studies and has been implicated as one of the major contributors to fungal pathogenicity. MicroRNA-like RNAs (milRNAs) have been identified in several important plant pathogenic fungi; however, to date, no milRNA has been reported in the V. nonalfalfae species. In the present study, using a high-throughput sequencing approach and extensive bioinformatics analysis, a total of 156 milRNA precursors were identified in the annotated V. nonalfalfae genome, and 27 of these milRNA precursors were selected as true milRNA candidates, with appropriate microRNA hairpin secondary structures. The stem-loop RT-qPCR assay was used for milRNA validation; a total of nine V. nonalfalfae milRNAs were detected, and their expression was confirmed. The milRNA expression patterns, determined by the absolute quantification approach, imply that milRNAs play an important role in the pathogenicity of highly virulent V. nonalfalfae pathotypes. Computational analysis predicted milRNA targets in the V. nonalfalfae genome and in the host hop transcriptome, and the activity of milRNA-mediated RNAi target cleavage was subsequently confirmed for two selected endogenous fungal target gene models using the 5′ RLM-RACE approach.
Jezik:
Angleški jezik
Ključne besede:
Verticillium nonalfalfae
,
RNA interference
,
microRNA-like RNAs
,
fungal pathogen
,
plant-pathogen interactions
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
BF - Biotehniška fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2022
Št. strani:
17 str.
Številčenje:
Vol. 23, iss. 2, art. 900
PID:
20.500.12556/RUL-134657
UDK:
577.2
ISSN pri članku:
1422-0067
DOI:
10.3390/ijms23020900
COBISS.SI-ID:
94636035
Datum objave v RUL:
24.01.2022
Število ogledov:
1010
Število prenosov:
151
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
International journal of molecular sciences
Skrajšan naslov:
Int. j. mol. sci.
Založnik:
MDPI
ISSN:
1422-0067
COBISS.SI-ID:
2779162
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
14.01.2022
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
Humulus lupulus
,
Verticillium nonalfalfae
,
verticilijska uvelost
,
glivična okužba
,
interferenca RNA
,
interakcija rastlina-patogen
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
34110
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P4-0077
Naslov:
Kmetijske rastline - genetika in sodobne tehnologije
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