The roles of rice microRNAs in rice-Magnaporthe oryzae interaction
Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNa...
Ausführliche Beschreibung
Autor*in: |
Li, Yan [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2019 |
---|
Schlagwörter: |
---|
Anmerkung: |
© The Author(s) 2019 |
---|
Übergeordnetes Werk: |
Enthalten in: Phytopathology research - [London] : BioMed Central, 2019, 1(2019), 1 vom: 18. Nov. |
---|---|
Übergeordnetes Werk: |
volume:1 ; year:2019 ; number:1 ; day:18 ; month:11 |
Links: |
---|
DOI / URN: |
10.1186/s42483-019-0040-8 |
---|
Katalog-ID: |
SPR038603950 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR038603950 | ||
003 | DE-627 | ||
005 | 20230519214327.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201007s2019 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1186/s42483-019-0040-8 |2 doi | |
035 | |a (DE-627)SPR038603950 | ||
035 | |a (SPR)s42483-019-0040-8-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Li, Yan |e verfasserin |4 aut | |
245 | 1 | 4 | |a The roles of rice microRNAs in rice-Magnaporthe oryzae interaction |
264 | 1 | |c 2019 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © The Author(s) 2019 | ||
520 | |a Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. | ||
650 | 4 | |a Dicer-like 1 |7 (dpeaa)DE-He213 | |
650 | 4 | |a MicroRNA |7 (dpeaa)DE-He213 | |
650 | 4 | |a miR164 |7 (dpeaa)DE-He213 | |
650 | 4 | |a miR167 |7 (dpeaa)DE-He213 | |
650 | 4 | |a miR169 |7 (dpeaa)DE-He213 | |
650 | 4 | |a miR319 |7 (dpeaa)DE-He213 | |
650 | 4 | |a miR396 |7 (dpeaa)DE-He213 | |
650 | 4 | |a miR398 |7 (dpeaa)DE-He213 | |
650 | 4 | |a miR7695 |7 (dpeaa)DE-He213 | |
700 | 1 | |a Jeyakumar, John Martin Jerome |4 aut | |
700 | 1 | |a Feng, Qin |4 aut | |
700 | 1 | |a Zhao, Zhi-Xue |4 aut | |
700 | 1 | |a Fan, Jing |4 aut | |
700 | 1 | |a Khaskheli, Muhammad Ibrahim |4 aut | |
700 | 1 | |a Wang, Wen-Ming |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Phytopathology research |d [London] : BioMed Central, 2019 |g 1(2019), 1 vom: 18. Nov. |w (DE-627)104821978X |w (DE-600)2960641-X |x 2524-4167 |7 nnns |
773 | 1 | 8 | |g volume:1 |g year:2019 |g number:1 |g day:18 |g month:11 |
856 | 4 | 0 | |u https://dx.doi.org/10.1186/s42483-019-0040-8 |z kostenfrei |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
912 | |a SSG-OLC-PHA | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 1 |j 2019 |e 1 |b 18 |c 11 |
author_variant |
y l yl j m j j jmj jmjj q f qf z x z zxz j f jf m i k mi mik w m w wmw |
---|---|
matchkey_str |
article:25244167:2019----::hrlsfieirraircmgaoter |
hierarchy_sort_str |
2019 |
publishDate |
2019 |
allfields |
10.1186/s42483-019-0040-8 doi (DE-627)SPR038603950 (SPR)s42483-019-0040-8-e DE-627 ger DE-627 rakwb eng Li, Yan verfasserin aut The roles of rice microRNAs in rice-Magnaporthe oryzae interaction 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. Dicer-like 1 (dpeaa)DE-He213 MicroRNA (dpeaa)DE-He213 miR164 (dpeaa)DE-He213 miR167 (dpeaa)DE-He213 miR169 (dpeaa)DE-He213 miR319 (dpeaa)DE-He213 miR396 (dpeaa)DE-He213 miR398 (dpeaa)DE-He213 miR7695 (dpeaa)DE-He213 Jeyakumar, John Martin Jerome aut Feng, Qin aut Zhao, Zhi-Xue aut Fan, Jing aut Khaskheli, Muhammad Ibrahim aut Wang, Wen-Ming aut Enthalten in Phytopathology research [London] : BioMed Central, 2019 1(2019), 1 vom: 18. Nov. (DE-627)104821978X (DE-600)2960641-X 2524-4167 nnns volume:1 year:2019 number:1 day:18 month:11 https://dx.doi.org/10.1186/s42483-019-0040-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 1 2019 1 18 11 |
spelling |
10.1186/s42483-019-0040-8 doi (DE-627)SPR038603950 (SPR)s42483-019-0040-8-e DE-627 ger DE-627 rakwb eng Li, Yan verfasserin aut The roles of rice microRNAs in rice-Magnaporthe oryzae interaction 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. Dicer-like 1 (dpeaa)DE-He213 MicroRNA (dpeaa)DE-He213 miR164 (dpeaa)DE-He213 miR167 (dpeaa)DE-He213 miR169 (dpeaa)DE-He213 miR319 (dpeaa)DE-He213 miR396 (dpeaa)DE-He213 miR398 (dpeaa)DE-He213 miR7695 (dpeaa)DE-He213 Jeyakumar, John Martin Jerome aut Feng, Qin aut Zhao, Zhi-Xue aut Fan, Jing aut Khaskheli, Muhammad Ibrahim aut Wang, Wen-Ming aut Enthalten in Phytopathology research [London] : BioMed Central, 2019 1(2019), 1 vom: 18. Nov. (DE-627)104821978X (DE-600)2960641-X 2524-4167 nnns volume:1 year:2019 number:1 day:18 month:11 https://dx.doi.org/10.1186/s42483-019-0040-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 1 2019 1 18 11 |
allfields_unstemmed |
10.1186/s42483-019-0040-8 doi (DE-627)SPR038603950 (SPR)s42483-019-0040-8-e DE-627 ger DE-627 rakwb eng Li, Yan verfasserin aut The roles of rice microRNAs in rice-Magnaporthe oryzae interaction 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. Dicer-like 1 (dpeaa)DE-He213 MicroRNA (dpeaa)DE-He213 miR164 (dpeaa)DE-He213 miR167 (dpeaa)DE-He213 miR169 (dpeaa)DE-He213 miR319 (dpeaa)DE-He213 miR396 (dpeaa)DE-He213 miR398 (dpeaa)DE-He213 miR7695 (dpeaa)DE-He213 Jeyakumar, John Martin Jerome aut Feng, Qin aut Zhao, Zhi-Xue aut Fan, Jing aut Khaskheli, Muhammad Ibrahim aut Wang, Wen-Ming aut Enthalten in Phytopathology research [London] : BioMed Central, 2019 1(2019), 1 vom: 18. Nov. (DE-627)104821978X (DE-600)2960641-X 2524-4167 nnns volume:1 year:2019 number:1 day:18 month:11 https://dx.doi.org/10.1186/s42483-019-0040-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 1 2019 1 18 11 |
allfieldsGer |
10.1186/s42483-019-0040-8 doi (DE-627)SPR038603950 (SPR)s42483-019-0040-8-e DE-627 ger DE-627 rakwb eng Li, Yan verfasserin aut The roles of rice microRNAs in rice-Magnaporthe oryzae interaction 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. Dicer-like 1 (dpeaa)DE-He213 MicroRNA (dpeaa)DE-He213 miR164 (dpeaa)DE-He213 miR167 (dpeaa)DE-He213 miR169 (dpeaa)DE-He213 miR319 (dpeaa)DE-He213 miR396 (dpeaa)DE-He213 miR398 (dpeaa)DE-He213 miR7695 (dpeaa)DE-He213 Jeyakumar, John Martin Jerome aut Feng, Qin aut Zhao, Zhi-Xue aut Fan, Jing aut Khaskheli, Muhammad Ibrahim aut Wang, Wen-Ming aut Enthalten in Phytopathology research [London] : BioMed Central, 2019 1(2019), 1 vom: 18. Nov. (DE-627)104821978X (DE-600)2960641-X 2524-4167 nnns volume:1 year:2019 number:1 day:18 month:11 https://dx.doi.org/10.1186/s42483-019-0040-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 1 2019 1 18 11 |
allfieldsSound |
10.1186/s42483-019-0040-8 doi (DE-627)SPR038603950 (SPR)s42483-019-0040-8-e DE-627 ger DE-627 rakwb eng Li, Yan verfasserin aut The roles of rice microRNAs in rice-Magnaporthe oryzae interaction 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. Dicer-like 1 (dpeaa)DE-He213 MicroRNA (dpeaa)DE-He213 miR164 (dpeaa)DE-He213 miR167 (dpeaa)DE-He213 miR169 (dpeaa)DE-He213 miR319 (dpeaa)DE-He213 miR396 (dpeaa)DE-He213 miR398 (dpeaa)DE-He213 miR7695 (dpeaa)DE-He213 Jeyakumar, John Martin Jerome aut Feng, Qin aut Zhao, Zhi-Xue aut Fan, Jing aut Khaskheli, Muhammad Ibrahim aut Wang, Wen-Ming aut Enthalten in Phytopathology research [London] : BioMed Central, 2019 1(2019), 1 vom: 18. Nov. (DE-627)104821978X (DE-600)2960641-X 2524-4167 nnns volume:1 year:2019 number:1 day:18 month:11 https://dx.doi.org/10.1186/s42483-019-0040-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 1 2019 1 18 11 |
language |
English |
source |
Enthalten in Phytopathology research 1(2019), 1 vom: 18. Nov. volume:1 year:2019 number:1 day:18 month:11 |
sourceStr |
Enthalten in Phytopathology research 1(2019), 1 vom: 18. Nov. volume:1 year:2019 number:1 day:18 month:11 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Dicer-like 1 MicroRNA miR164 miR167 miR169 miR319 miR396 miR398 miR7695 |
isfreeaccess_bool |
true |
container_title |
Phytopathology research |
authorswithroles_txt_mv |
Li, Yan @@aut@@ Jeyakumar, John Martin Jerome @@aut@@ Feng, Qin @@aut@@ Zhao, Zhi-Xue @@aut@@ Fan, Jing @@aut@@ Khaskheli, Muhammad Ibrahim @@aut@@ Wang, Wen-Ming @@aut@@ |
publishDateDaySort_date |
2019-11-18T00:00:00Z |
hierarchy_top_id |
104821978X |
id |
SPR038603950 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038603950</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519214327.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s42483-019-0040-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038603950</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42483-019-0040-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Yan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The roles of rice microRNAs in rice-Magnaporthe oryzae interaction</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dicer-like 1</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MicroRNA</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR164</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR167</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR169</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR319</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR396</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR398</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR7695</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jeyakumar, John Martin Jerome</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Feng, Qin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Zhi-Xue</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fan, Jing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Khaskheli, Muhammad Ibrahim</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Wen-Ming</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Phytopathology research</subfield><subfield code="d">[London] : BioMed Central, 2019</subfield><subfield code="g">1(2019), 1 vom: 18. Nov.</subfield><subfield code="w">(DE-627)104821978X</subfield><subfield code="w">(DE-600)2960641-X</subfield><subfield code="x">2524-4167</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:1</subfield><subfield code="g">day:18</subfield><subfield code="g">month:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s42483-019-0040-8</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2019</subfield><subfield code="e">1</subfield><subfield code="b">18</subfield><subfield code="c">11</subfield></datafield></record></collection>
|
author |
Li, Yan |
spellingShingle |
Li, Yan misc Dicer-like 1 misc MicroRNA misc miR164 misc miR167 misc miR169 misc miR319 misc miR396 misc miR398 misc miR7695 The roles of rice microRNAs in rice-Magnaporthe oryzae interaction |
authorStr |
Li, Yan |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)104821978X |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
2524-4167 |
topic_title |
The roles of rice microRNAs in rice-Magnaporthe oryzae interaction Dicer-like 1 (dpeaa)DE-He213 MicroRNA (dpeaa)DE-He213 miR164 (dpeaa)DE-He213 miR167 (dpeaa)DE-He213 miR169 (dpeaa)DE-He213 miR319 (dpeaa)DE-He213 miR396 (dpeaa)DE-He213 miR398 (dpeaa)DE-He213 miR7695 (dpeaa)DE-He213 |
topic |
misc Dicer-like 1 misc MicroRNA misc miR164 misc miR167 misc miR169 misc miR319 misc miR396 misc miR398 misc miR7695 |
topic_unstemmed |
misc Dicer-like 1 misc MicroRNA misc miR164 misc miR167 misc miR169 misc miR319 misc miR396 misc miR398 misc miR7695 |
topic_browse |
misc Dicer-like 1 misc MicroRNA misc miR164 misc miR167 misc miR169 misc miR319 misc miR396 misc miR398 misc miR7695 |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Phytopathology research |
hierarchy_parent_id |
104821978X |
hierarchy_top_title |
Phytopathology research |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)104821978X (DE-600)2960641-X |
title |
The roles of rice microRNAs in rice-Magnaporthe oryzae interaction |
ctrlnum |
(DE-627)SPR038603950 (SPR)s42483-019-0040-8-e |
title_full |
The roles of rice microRNAs in rice-Magnaporthe oryzae interaction |
author_sort |
Li, Yan |
journal |
Phytopathology research |
journalStr |
Phytopathology research |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2019 |
contenttype_str_mv |
txt |
author_browse |
Li, Yan Jeyakumar, John Martin Jerome Feng, Qin Zhao, Zhi-Xue Fan, Jing Khaskheli, Muhammad Ibrahim Wang, Wen-Ming |
container_volume |
1 |
format_se |
Elektronische Aufsätze |
author-letter |
Li, Yan |
doi_str_mv |
10.1186/s42483-019-0040-8 |
title_sort |
roles of rice micrornas in rice-magnaporthe oryzae interaction |
title_auth |
The roles of rice microRNAs in rice-Magnaporthe oryzae interaction |
abstract |
Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. © The Author(s) 2019 |
abstractGer |
Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. © The Author(s) 2019 |
abstract_unstemmed |
Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction. © The Author(s) 2019 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
1 |
title_short |
The roles of rice microRNAs in rice-Magnaporthe oryzae interaction |
url |
https://dx.doi.org/10.1186/s42483-019-0040-8 |
remote_bool |
true |
author2 |
Jeyakumar, John Martin Jerome Feng, Qin Zhao, Zhi-Xue Fan, Jing Khaskheli, Muhammad Ibrahim Wang, Wen-Ming |
author2Str |
Jeyakumar, John Martin Jerome Feng, Qin Zhao, Zhi-Xue Fan, Jing Khaskheli, Muhammad Ibrahim Wang, Wen-Ming |
ppnlink |
104821978X |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.1186/s42483-019-0040-8 |
up_date |
2024-07-03T19:04:58.519Z |
_version_ |
1803585845749350400 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038603950</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519214327.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s42483-019-0040-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038603950</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42483-019-0040-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Yan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The roles of rice microRNAs in rice-Magnaporthe oryzae interaction</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract MicroRNAs (miRNAs) are a class of small (20–24 nucleotides (nt) long) non-coding RNAs. One mature miRNA can be transcribed from one or more gene loci known as miRNA genes (MIRs). The transcript of a MIR forms a stem-loop structure that is processed into a 20–24-nt miRNA-5p/−3p duplex by RNase III family endoribonucleases such as Dicer-like1 (DCL1). In turn, the overhang ends of the duplex are methylated by HUA ENHANCER 1 (HEN1), generating stabilized mature miRNAs. The mature miRNAs are loaded onto ARGONAUTE (AGO) proteins, forming a miRNA-induced gene silencing complex (miRISC). Then, the miRISC binds to target sites with sequences complementary to the miRNAs, leading to either cleavage or translational inhibition of the target mRNAs, or methylation of the target sequences, resulting in post-transcriptional and transcriptional gene silencing, respectively. In the past decade, more than 700 miRNAs have been identified in rice, a subset of which have been found to be responsive to the rice blast fungus, Magnaporthe oryzae, or its elicitors. Moreover, members of 10 miRNA families have been found to positively or negatively regulate rice defense against M. oryzae, namely miR160, miR164, miR166, miR167, miR169, miR319, miR396, miR398, miR444 and miR7695. This review summarizes the identification and functional characterization of the miRNAs, which respond to M. oryzae or its elicitors and describes the current understanding of the complicated but well-organized network in the context of rice-M. oryzae interaction.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dicer-like 1</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MicroRNA</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR164</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR167</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR169</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR319</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR396</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR398</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">miR7695</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jeyakumar, John Martin Jerome</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Feng, Qin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Zhi-Xue</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fan, Jing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Khaskheli, Muhammad Ibrahim</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Wen-Ming</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Phytopathology research</subfield><subfield code="d">[London] : BioMed Central, 2019</subfield><subfield code="g">1(2019), 1 vom: 18. Nov.</subfield><subfield code="w">(DE-627)104821978X</subfield><subfield code="w">(DE-600)2960641-X</subfield><subfield code="x">2524-4167</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:1</subfield><subfield code="g">day:18</subfield><subfield code="g">month:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s42483-019-0040-8</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2019</subfield><subfield code="e">1</subfield><subfield code="b">18</subfield><subfield code="c">11</subfield></datafield></record></collection>
|
score |
7.3994513 |