Maize transposable elements contribute to long non-coding RNAs that are regulatory hubs for abiotic stress response
Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs - and especially transposon...
Saved in:
Published in | BMC genomics Vol. 20; no. 1; pp. 864 - 17 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
15.11.2019
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs - and especially transposon derived lncRNAs (TE-lncRNAs) - in response to abiotic stress is still in its infancy.
We utilized a dataset of 127 RNA sequencing samples that included total RNA datasets and PacBio fl-cDNA data to discover lncRNAs in maize. Overall, we identified 23,309 candidate lncRNAs from polyA+ and total RNA samples, with a strong discovery bias within total RNA. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, reflecting a high proportion of these elements in the genome. However, DNA transposons were enriched for lncRNAs relative to their genomic representation by ~ 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1077 differentially expressed lncRNA transcripts, including 509 TE-lncRNAs. In general, the expression of these lncRNAs was significantly correlated with their nearest gene. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs are as major hubs in co-expression networks that respond to abiotic stress, and 18 appear to be derived from TEs.
Our results show that lncRNAs are enriched in total RNA samples, that most (65%) are derived from TEs, that at least 1077 are differentially expressed during abiotic stress, and that 39 are hubs in co-expression networks, including a small number that are evolutionary conserved. These results suggest that lncRNAs, including TE-lncRNAs, may play key regulatory roles in moderating abiotic responses. |
---|---|
AbstractList | Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs - and especially transposon derived lncRNAs (TE-lncRNAs) - in response to abiotic stress is still in its infancy. We utilized a dataset of 127 RNA sequencing samples that included total RNA datasets and PacBio fl-cDNA data to discover lncRNAs in maize. Overall, we identified 23,309 candidate lncRNAs from polyA+ and total RNA samples, with a strong discovery bias within total RNA. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, reflecting a high proportion of these elements in the genome. However, DNA transposons were enriched for lncRNAs relative to their genomic representation by ~ 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1077 differentially expressed lncRNA transcripts, including 509 TE-lncRNAs. In general, the expression of these lncRNAs was significantly correlated with their nearest gene. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs are as major hubs in co-expression networks that respond to abiotic stress, and 18 appear to be derived from TEs. Our results show that lncRNAs are enriched in total RNA samples, that most (65%) are derived from TEs, that at least 1077 are differentially expressed during abiotic stress, and that 39 are hubs in co-expression networks, including a small number that are evolutionary conserved. These results suggest that lncRNAs, including TE-lncRNAs, may play key regulatory roles in moderating abiotic responses. Abstract Background Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs – and especially transposon derived lncRNAs (TE-lncRNAs) - in response to abiotic stress is still in its infancy. Results We utilized a dataset of 127 RNA sequencing samples that included total RNA datasets and PacBio fl-cDNA data to discover lncRNAs in maize. Overall, we identified 23,309 candidate lncRNAs from polyA+ and total RNA samples, with a strong discovery bias within total RNA. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, reflecting a high proportion of these elements in the genome. However, DNA transposons were enriched for lncRNAs relative to their genomic representation by ~ 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1077 differentially expressed lncRNA transcripts, including 509 TE-lncRNAs. In general, the expression of these lncRNAs was significantly correlated with their nearest gene. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs are as major hubs in co-expression networks that respond to abiotic stress, and 18 appear to be derived from TEs. Conclusions Our results show that lncRNAs are enriched in total RNA samples, that most (65%) are derived from TEs, that at least 1077 are differentially expressed during abiotic stress, and that 39 are hubs in co-expression networks, including a small number that are evolutionary conserved. These results suggest that lncRNAs, including TE-lncRNAs, may play key regulatory roles in moderating abiotic responses. Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs - and especially transposon derived lncRNAs (TE-lncRNAs) - in response to abiotic stress is still in its infancy.BACKGROUNDSeveral studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs - and especially transposon derived lncRNAs (TE-lncRNAs) - in response to abiotic stress is still in its infancy.We utilized a dataset of 127 RNA sequencing samples that included total RNA datasets and PacBio fl-cDNA data to discover lncRNAs in maize. Overall, we identified 23,309 candidate lncRNAs from polyA+ and total RNA samples, with a strong discovery bias within total RNA. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, reflecting a high proportion of these elements in the genome. However, DNA transposons were enriched for lncRNAs relative to their genomic representation by ~ 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1077 differentially expressed lncRNA transcripts, including 509 TE-lncRNAs. In general, the expression of these lncRNAs was significantly correlated with their nearest gene. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs are as major hubs in co-expression networks that respond to abiotic stress, and 18 appear to be derived from TEs.RESULTSWe utilized a dataset of 127 RNA sequencing samples that included total RNA datasets and PacBio fl-cDNA data to discover lncRNAs in maize. Overall, we identified 23,309 candidate lncRNAs from polyA+ and total RNA samples, with a strong discovery bias within total RNA. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, reflecting a high proportion of these elements in the genome. However, DNA transposons were enriched for lncRNAs relative to their genomic representation by ~ 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1077 differentially expressed lncRNA transcripts, including 509 TE-lncRNAs. In general, the expression of these lncRNAs was significantly correlated with their nearest gene. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs are as major hubs in co-expression networks that respond to abiotic stress, and 18 appear to be derived from TEs.Our results show that lncRNAs are enriched in total RNA samples, that most (65%) are derived from TEs, that at least 1077 are differentially expressed during abiotic stress, and that 39 are hubs in co-expression networks, including a small number that are evolutionary conserved. These results suggest that lncRNAs, including TE-lncRNAs, may play key regulatory roles in moderating abiotic responses.CONCLUSIONSOur results show that lncRNAs are enriched in total RNA samples, that most (65%) are derived from TEs, that at least 1077 are differentially expressed during abiotic stress, and that 39 are hubs in co-expression networks, including a small number that are evolutionary conserved. These results suggest that lncRNAs, including TE-lncRNAs, may play key regulatory roles in moderating abiotic responses. Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs - and especially transposon derived lncRNAs (TE-lncRNAs) - in response to abiotic stress is still in its infancy. We utilized a dataset of 127 RNA sequencing samples that included total RNA datasets and PacBio fl-cDNA data to discover lncRNAs in maize. Overall, we identified 23,309 candidate lncRNAs from polyA+ and total RNA samples, with a strong discovery bias within total RNA. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, reflecting a high proportion of these elements in the genome. However, DNA transposons were enriched for lncRNAs relative to their genomic representation by ~ 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1077 differentially expressed lncRNA transcripts, including 509 TE-lncRNAs. In general, the expression of these lncRNAs was significantly correlated with their nearest gene. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs are as major hubs in co-expression networks that respond to abiotic stress, and 18 appear to be derived from TEs. Our results show that lncRNAs are enriched in total RNA samples, that most (65%) are derived from TEs, that at least 1077 are differentially expressed during abiotic stress, and that 39 are hubs in co-expression networks, including a small number that are evolutionary conserved. These results suggest that lncRNAs, including TE-lncRNAs, may play key regulatory roles in moderating abiotic responses. Background Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual lncRNAs in abiotic stress response. However, our understanding of the complement, function and origin of lncRNAs - and especially transposon derived lncRNAs (TE-lncRNAs) - in response to abiotic stress is still in its infancy. Results We utilized a dataset of 127 RNA sequencing samples that included total RNA datasets and PacBio fl-cDNA data to discover lncRNAs in maize. Overall, we identified 23,309 candidate lncRNAs from polyA+ and total RNA samples, with a strong discovery bias within total RNA. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, reflecting a high proportion of these elements in the genome. However, DNA transposons were enriched for lncRNAs relative to their genomic representation by ~ 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1077 differentially expressed lncRNA transcripts, including 509 TE-lncRNAs. In general, the expression of these lncRNAs was significantly correlated with their nearest gene. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs are as major hubs in co-expression networks that respond to abiotic stress, and 18 appear to be derived from TEs. Conclusions Our results show that lncRNAs are enriched in total RNA samples, that most (65%) are derived from TEs, that at least 1077 are differentially expressed during abiotic stress, and that 39 are hubs in co-expression networks, including a small number that are evolutionary conserved. These results suggest that lncRNAs, including TE-lncRNAs, may play key regulatory roles in moderating abiotic responses. Keywords: Long non-coding RNA, Transposable elements, Abiotic stress, Co-expression network |
ArticleNumber | 864 |
Audience | Academic |
Author | Hu, Fengqin Gaut, Brandon S. Lv, Yuanda Zhou, Yongfeng Wu, Feilong |
Author_xml | – sequence: 1 givenname: Yuanda surname: Lv fullname: Lv, Yuanda – sequence: 2 givenname: Fengqin surname: Hu fullname: Hu, Fengqin – sequence: 3 givenname: Yongfeng surname: Zhou fullname: Zhou, Yongfeng – sequence: 4 givenname: Feilong surname: Wu fullname: Wu, Feilong – sequence: 5 givenname: Brandon S. orcidid: 0000-0002-1334-5556 surname: Gaut fullname: Gaut, Brandon S. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31729949$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kl2P1CAUhhuzxv3QH-CNIfFGL7pyaKH0xmSy8WOSVZNVrwmlhw6bThmBGtdfL3XWzY4xhgQIPOflnMN7WhxNfsKieAr0HECKVxGYFHVJoS0Fq3nJHxQnUDdQMhD10b39cXEa4zWl0EjGHxXHFTSsbev2pIgftPuJJAU9xZ2PuhuR4IhbnFIkxk8puG5OGfBk9NNAcgal8b3L26uPq0jSRieiA5KAwzzq5MMN2cxdJNYHojvnkzMkpoAxZiQ_MUV8XDy0eoz45HY9K76-ffPl4n15-end-mJ1WRouRCqFxRq6GpCD0D3wBixKYC2tZc9soy30rDVatFLzDqDqpdHSmq5vbEuNsNVZsd7r9l5fq11wWx1ulNdO_T7wYVA65PxGVJxR1jNoaVXVtQHdGY62slYCWk5Fk7Ve77V2c7fF3uT-BD0eiB7eTG6jBv9dCcmlEDwLvLgVCP7bjDGprYsGx1FP6OeoWAWcyoyyjD7fo4POqbnJ-qxoFlytBG0qkSeZqfN_UHn0uHX559C6fH4Q8PIgYPld_JEGPceo1p-vDtln98u9q_OPcTIAe8AEH2NAe4cAVYs51d6cKptTLeZUSwuav2KMSzq5xWXajf-J_AVodOj9 |
CitedBy_id | crossref_primary_10_1007_s00497_020_00400_1 crossref_primary_10_3390_agronomy14081722 crossref_primary_10_3390_ijms23158594 crossref_primary_10_1080_15476286_2022_2144609 crossref_primary_10_3390_horticulturae7080235 crossref_primary_10_1186_s13100_023_00305_6 crossref_primary_10_1002_iub_2712 crossref_primary_10_1007_s00239_024_10198_5 crossref_primary_10_1080_15476286_2021_2024032 crossref_primary_10_3389_fpls_2021_779597 crossref_primary_10_1016_j_tplants_2025_02_005 crossref_primary_10_1186_s12864_021_08286_7 crossref_primary_10_3389_fpls_2023_1080427 crossref_primary_10_3389_fpls_2022_915056 crossref_primary_10_1016_j_plaphy_2022_10_030 crossref_primary_10_1016_j_plaphy_2023_107940 crossref_primary_10_1111_ppl_13492 crossref_primary_10_1016_j_indcrop_2024_118108 crossref_primary_10_1016_j_plaphy_2023_107823 crossref_primary_10_3390_genes11040366 crossref_primary_10_3390_cells12050729 crossref_primary_10_3390_plants12203531 crossref_primary_10_3390_ijms22168618 crossref_primary_10_1016_j_biosystems_2022_104669 crossref_primary_10_3389_fgene_2022_857143 crossref_primary_10_1007_s13562_024_00923_y crossref_primary_10_3390_ijms23116247 crossref_primary_10_1016_j_plaphy_2023_108165 crossref_primary_10_3389_fpls_2022_988845 crossref_primary_10_3390_ijms22136980 crossref_primary_10_1016_j_jplph_2021_153365 crossref_primary_10_3390_ijms222212519 crossref_primary_10_3389_fpls_2022_915569 crossref_primary_10_1093_jxb_erab073 crossref_primary_10_1111_tpj_15748 crossref_primary_10_1007_s11738_022_03387_6 crossref_primary_10_1093_hr_uhae041 crossref_primary_10_3389_fgene_2020_00792 crossref_primary_10_3389_fpls_2022_917840 crossref_primary_10_3390_plants9121794 crossref_primary_10_1146_annurev_genet_072920_015534 crossref_primary_10_3389_fpls_2022_777308 crossref_primary_10_3390_ijms21082659 crossref_primary_10_1016_j_ygeno_2022_110505 crossref_primary_10_3389_fpls_2022_826473 crossref_primary_10_3389_fpls_2020_603246 crossref_primary_10_1186_s13059_020_02164_3 |
Cites_doi | 10.1105/tpc.16.00886 10.1016/j.tplants.2005.11.002 10.1093/bioinformatics/btp352 10.1186/gb-2011-12-2-r16 10.1371/journal.pgen.0020062 10.1111/tpj.13804 10.1016/j.copbio.2006.02.002 10.1073/pnas.97.13.7008 10.1093/nar/gkh131 10.1089/omi.2014.0125 10.1093/nar/25.17.3389 10.1038/nrg.2016.139 10.1016/j.gde.2017.07.009 10.3390/ijms140713307 10.1093/bioinformatics/bty191 10.1186/s12864-016-2650-1 10.1186/1741-7007-11-59 10.1016/S1369-5266(02)00289-3 10.3390/genes3010176 10.1093/bioinformatics/btt656 10.1534/genetics.112.146704 10.1111/j.1744-7909.2012.01118.x 10.1093/jxb/ert437 10.1093/nar/gkt646 10.1371/journal.pgen.1004915 10.1038/nrg1272 10.1073/pnas.1721487115 10.1186/s13059-014-0550-8 10.1016/j.cell.2016.08.029 10.1371/journal.pcbi.1002955 10.1093/molbev/msv117 10.1089/152791600459894 10.1371/journal.pone.0098958 10.1038/nbt.3122 10.1111/tpj.12679 10.1371/journal.pgen.1003470 10.1016/j.pbi.2016.02.009 10.1038/ncomms11708 10.1104/pp.109.136028 10.1016/j.cell.2018.01.011 10.1371/journal.pone.0043047 10.1609/icwsm.v3i1.13937 10.1105/tpc.16.00600 10.1016/j.tig.2016.08.004 10.1101/gr.165555.113 10.1146/annurev-biochem-051410-092902 10.1016/j.copbio.2005.02.001 10.1101/456749 10.1093/nar/gkx866 10.1186/1471-2105-11-485 10.1371/journal.pgen.1000732 10.1104/pp.17.01657 10.1046/j.1469-8137.2002.00352.x 10.1038/nprot.2016.095 10.1186/s13059-014-0512-1 10.1093/jxb/eru473 10.1093/aob/mcr053 10.1105/tpc.112.102855 10.1093/bioinformatics/bts635 10.1093/jxb/erx384 10.1093/bib/bbw139 10.1101/gr.132159.111 10.1186/1471-2105-9-559 10.1126/science.1178534 10.1038/nrg2521 10.1101/gr.218149.116 10.1111/nph.13429 10.1038/35075138 10.1101/gr.080275.108 10.1186/gb-2012-13-11-r107 10.1007/s10535-010-0038-7 10.1186/gb-2014-15-2-r40 10.1016/j.devcel.2016.12.021 10.1186/s12864-016-2570-0 10.1261/rna.044560.114 10.1111/tpj.13481 10.1186/1471-2105-11-431 10.1038/srep21623 10.1186/s13059-014-0570-4 10.1126/science.aad5497 10.3389/fpls.2016.00444 10.3389/fpls.2018.00600 10.1093/nar/gkx382 10.1038/srep09998 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2019 BioMed Central Ltd. The Author(s). 2019 |
Copyright_xml | – notice: COPYRIGHT 2019 BioMed Central Ltd. – notice: The Author(s). 2019 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 7X8 5PM DOA |
DOI | 10.1186/s12864-019-6245-5 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic MEDLINE |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 1471-2164 |
EndPage | 17 |
ExternalDocumentID | oai_doaj_org_article_5202d21903344c1abc5ef3ff81ef5067 PMC6858665 A607366078 31729949 10_1186_s12864_019_6245_5 |
Genre | Journal Article |
GrantInformation_xml | – fundername: National Science Foundation grantid: DEB-1655808 – fundername: National Natural Science Foundation of China grantid: 31771813 – fundername: JAAS Exploratory and Disruptive Innovation Program grantid: ZX(17)2015 – fundername: ; grantid: DEB-1655808 – fundername: ; grantid: ZX(17)2015 – fundername: ; grantid: 31771813 |
GroupedDBID | --- 0R~ 23N 2WC 2XV 53G 5VS 6J9 7X7 88E 8AO 8FE 8FH 8FI 8FJ AAFWJ AAHBH AAJSJ AASML AAYXX ABDBF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACUHS ADBBV ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHMBA AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CITATION CS3 DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS EMB EMK EMOBN ESX F5P FYUFA GROUPED_DOAJ GX1 HCIFZ HMCUK HYE IAO IGS IHR INH INR ISR ITC KQ8 LK8 M1P M48 M7P M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RBZ RNS ROL RPM RSV SBL SOJ SV3 TR2 TUS U2A UKHRP W2D WOQ WOW XSB CGR CUY CVF ECM EIF NPM PMFND 7X8 PPXIY PQGLB 5PM PJZUB PUEGO |
ID | FETCH-LOGICAL-c566t-6fe41b41e516ad1571fe8129048d2f7af1d29ca698a5b113d8ca8fcbd7f90c6f3 |
IEDL.DBID | M48 |
ISSN | 1471-2164 |
IngestDate | Wed Aug 27 01:23:17 EDT 2025 Thu Aug 21 13:30:00 EDT 2025 Fri Jul 11 04:29:56 EDT 2025 Tue Jun 17 21:30:13 EDT 2025 Tue Jun 10 20:37:49 EDT 2025 Fri Jun 27 04:37:50 EDT 2025 Thu Apr 03 06:57:53 EDT 2025 Tue Jul 01 00:39:05 EDT 2025 Thu Apr 24 22:53:08 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Abiotic stress Co-expression network Transposable elements Long non-coding RNA |
Language | English |
License | Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c566t-6fe41b41e516ad1571fe8129048d2f7af1d29ca698a5b113d8ca8fcbd7f90c6f3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0002-1334-5556 |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12864-019-6245-5 |
PMID | 31729949 |
PQID | 2315088662 |
PQPubID | 23479 |
PageCount | 17 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_5202d21903344c1abc5ef3ff81ef5067 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6858665 proquest_miscellaneous_2315088662 gale_infotracmisc_A607366078 gale_infotracacademiconefile_A607366078 gale_incontextgauss_ISR_A607366078 pubmed_primary_31729949 crossref_primary_10_1186_s12864_019_6245_5 crossref_citationtrail_10_1186_s12864_019_6245_5 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019-11-15 |
PublicationDateYYYYMMDD | 2019-11-15 |
PublicationDate_xml | – month: 11 year: 2019 text: 2019-11-15 day: 15 |
PublicationDecade | 2010 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | BMC genomics |
PublicationTitleAlternate | BMC Genomics |
PublicationYear | 2019 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | N Maeda (6245_CR2) 2006; 2 P Yan (6245_CR55) 2017; 46 F Gaiti (6245_CR50) 2015; 32 L Li (6245_CR8) 2014; 15 H Zhang (6245_CR9) 2016; 17 EAR Serin (6245_CR40) 2016; 7 MP Cox (6245_CR70) 2010; 11 Y-C Zhang (6245_CR5) 2014; 15 H Wang (6245_CR11) 2014; 24 K Varala (6245_CR42) 2018; 115 S Boerner (6245_CR51) 2012; 7 Y Liao (6245_CR79) 2014; 30 D Kelley (6245_CR35) 2012; 13 G Wang (6245_CR38) 2014; 65 6245_CR86 6245_CR41 C Di (6245_CR23) 2014; 80 J Liu (6245_CR24) 2012; 24 D Wang (6245_CR74) 2017; 90 JL Rinn (6245_CR16) 2012; 81 S Altschul (6245_CR84) 1997; 25 LS Johnson (6245_CR76) 2010; 11 A Kapusta (6245_CR7) 2013; 9 U Singh (6245_CR31) 2017; 45 R Apweiler (6245_CR83) 2004; 32 M Pertea (6245_CR72) 2015; 33 J Liu (6245_CR4) 2012; 24 T Derrien (6245_CR3) 2012; 22 P Mukhopadhyay (6245_CR43) 2015; 5 EB Chuong (6245_CR63) 2017; 18 M Trizzino (6245_CR64) 2017; 27 T Tian (6245_CR85) 2017; 45 RS Baucom (6245_CR53) 2009; 5 AA Golicz (6245_CR12) 2018; 176 A Dobin (6245_CR71) 2013; 29 T Umezawa (6245_CR46) 2006; 17 T Wang (6245_CR17) 2017; 68 A Bousios (6245_CR54) 2016; 30 Q-H Zhu (6245_CR52) 2012; 3 D Amar (6245_CR39) 2013; 9 H Li (6245_CR78) 2009; 25 JTY Kung (6245_CR21) 2013; 193 H Li (6245_CR73) 2018; 34 M Hadjiargyrou (6245_CR15) 2013; 14 B Ben Amor (6245_CR22) 2009; 19 J-K Zhu (6245_CR25) 2016; 167 L Chen (6245_CR44) 2016; 6 EB Chuong (6245_CR65) 2016; 351 PK Agarwal (6245_CR61) 2010; 54 D Lawlor (6245_CR62) 2011; 107 A-L Barabási (6245_CR59) 2004; 5 B Vinocur (6245_CR45) 2005; 16 W Zhang (6245_CR30) 2014; 9 PS Schnable (6245_CR32) 2009; 326 Y Lv (6245_CR6) 2016; 17 BS Gaut (6245_CR48) 2000; 97 R Johnson (6245_CR36) 2014; 20 B Wang (6245_CR66) 2016; 7 R Mittler (6245_CR26) 2006; 11 I Makarevitch (6245_CR69) 2015; 11 KB Singh (6245_CR60) 2002; 5 TR Mercer (6245_CR1) 2009; 10 D-H Kim (6245_CR18) 2017; 40 J Cho (6245_CR14) 2018; 9 LC Tsoi (6245_CR37) 2015; 16 Liang Sun (6245_CR75) 2013; 41 F Gong (6245_CR28) 2014; 18 H Jeong (6245_CR58) 2001; 411 M Pertea (6245_CR77) 2016; 11 MI Love (6245_CR80) 2014; 15 6245_CR10 JS Seo (6245_CR19) 2017; 29 K Vandepoele (6245_CR57) 2009; 150 P Langfelder (6245_CR81) 2008; 9 J Yuan (6245_CR13) 2018; 93 L Yang (6245_CR49) 2011; 12 M Mimura (6245_CR68) 2016; 28 F Kopp (6245_CR20) 2018; 172 B Signal (6245_CR34) 2016; 32 S van Dam (6245_CR33) 2017; 19 AE Kornienko (6245_CR56) 2013; 11 M Bastian (6245_CR82) 2009; 8 NG Halford (6245_CR29) 2015; 66 BS Gaut (6245_CR47) 2002; 154 B Masuka (6245_CR27) 2012; 54 P Li (6245_CR67) 2017; 8 |
References_xml | – volume: 29 start-page: 1024 year: 2017 ident: 6245_CR19 publication-title: Plant Cell doi: 10.1105/tpc.16.00886 – volume: 11 start-page: 15 year: 2006 ident: 6245_CR26 publication-title: Trends Plant Sci doi: 10.1016/j.tplants.2005.11.002 – volume: 25 start-page: 2078 year: 2009 ident: 6245_CR78 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/btp352 – volume: 12 start-page: R16 year: 2011 ident: 6245_CR49 publication-title: Genome Biol doi: 10.1186/gb-2011-12-2-r16 – volume: 2 start-page: e62 year: 2006 ident: 6245_CR2 publication-title: PLoS Genet doi: 10.1371/journal.pgen.0020062 – volume: 93 start-page: 814 year: 2018 ident: 6245_CR13 publication-title: Plant J doi: 10.1111/tpj.13804 – volume: 17 start-page: 113 year: 2006 ident: 6245_CR46 publication-title: Curr Opin Biotechnol doi: 10.1016/j.copbio.2006.02.002 – volume: 97 start-page: 7008 year: 2000 ident: 6245_CR48 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.97.13.7008 – volume: 32 start-page: 115D year: 2004 ident: 6245_CR83 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkh131 – volume: 18 start-page: 714 year: 2014 ident: 6245_CR28 publication-title: Omics. doi: 10.1089/omi.2014.0125 – volume: 25 start-page: 3389 year: 1997 ident: 6245_CR84 publication-title: Nucleic Acids Res doi: 10.1093/nar/25.17.3389 – volume: 18 start-page: 71 year: 2017 ident: 6245_CR63 publication-title: Nat Rev Genet. doi: 10.1038/nrg.2016.139 – volume: 46 start-page: 170 year: 2017 ident: 6245_CR55 publication-title: Curr Opin Genet Dev doi: 10.1016/j.gde.2017.07.009 – volume: 14 start-page: 13307 year: 2013 ident: 6245_CR15 publication-title: Int J Mol Sci doi: 10.3390/ijms140713307 – volume: 8 start-page: 290 year: 2017 ident: 6245_CR67 publication-title: Plant Sci – volume: 34 start-page: 3094 year: 2018 ident: 6245_CR73 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/bty191 – volume: 17 start-page: 350 year: 2016 ident: 6245_CR6 publication-title: BMC Genomics doi: 10.1186/s12864-016-2650-1 – volume: 11 start-page: 59 year: 2013 ident: 6245_CR56 publication-title: BMC Biol doi: 10.1186/1741-7007-11-59 – volume: 5 start-page: 430 year: 2002 ident: 6245_CR60 publication-title: Curr Opin Plant Biol doi: 10.1016/S1369-5266(02)00289-3 – volume: 3 start-page: 176 year: 2012 ident: 6245_CR52 publication-title: Genes (Basel) doi: 10.3390/genes3010176 – volume: 30 start-page: 923 year: 2014 ident: 6245_CR79 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/btt656 – volume: 193 start-page: 651 year: 2013 ident: 6245_CR21 publication-title: Genetics. doi: 10.1534/genetics.112.146704 – volume: 54 start-page: 238 year: 2012 ident: 6245_CR27 publication-title: J Integr Plant Biol doi: 10.1111/j.1744-7909.2012.01118.x – volume: 65 start-page: 923 year: 2014 ident: 6245_CR38 publication-title: J Exp Bot doi: 10.1093/jxb/ert437 – volume: 41 start-page: e166 issue: 17 year: 2013 ident: 6245_CR75 publication-title: Nucleic Acids Research doi: 10.1093/nar/gkt646 – volume: 11 start-page: e1004915 year: 2015 ident: 6245_CR69 publication-title: PLoS Genet doi: 10.1371/journal.pgen.1004915 – volume: 5 start-page: 101 year: 2004 ident: 6245_CR59 publication-title: Nat Rev Genet doi: 10.1038/nrg1272 – volume: 115 start-page: 6494 year: 2018 ident: 6245_CR42 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1721487115 – volume: 15 start-page: 550 year: 2014 ident: 6245_CR80 publication-title: Genome Biol doi: 10.1186/s13059-014-0550-8 – volume: 167 start-page: 313 year: 2016 ident: 6245_CR25 publication-title: Cell. doi: 10.1016/j.cell.2016.08.029 – volume: 9 start-page: e1002955 year: 2013 ident: 6245_CR39 publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1002955 – volume: 32 start-page: 2367 year: 2015 ident: 6245_CR50 publication-title: Mol Biol Evol doi: 10.1093/molbev/msv117 – ident: 6245_CR86 doi: 10.1089/152791600459894 – volume: 9 start-page: e98958 year: 2014 ident: 6245_CR30 publication-title: PLoS One doi: 10.1371/journal.pone.0098958 – volume: 33 start-page: 290 issue: 3 year: 2015 ident: 6245_CR72 publication-title: Nat Biotechnol doi: 10.1038/nbt.3122 – volume: 80 start-page: 848 year: 2014 ident: 6245_CR23 publication-title: Plant J doi: 10.1111/tpj.12679 – volume: 9 start-page: e1003470 year: 2013 ident: 6245_CR7 publication-title: PLoS Genet doi: 10.1371/journal.pgen.1003470 – volume: 30 start-page: 123 year: 2016 ident: 6245_CR54 publication-title: Curr Opin Plant Biol doi: 10.1016/j.pbi.2016.02.009 – volume: 7 start-page: 11708 year: 2016 ident: 6245_CR66 publication-title: Nat Commun doi: 10.1038/ncomms11708 – volume: 150 start-page: 535 year: 2009 ident: 6245_CR57 publication-title: Plant Physiol doi: 10.1104/pp.109.136028 – volume: 172 start-page: 393 year: 2018 ident: 6245_CR20 publication-title: Cell. doi: 10.1016/j.cell.2018.01.011 – volume: 7 start-page: e43047 year: 2012 ident: 6245_CR51 publication-title: PLoS One doi: 10.1371/journal.pone.0043047 – volume: 8 start-page: 361 year: 2009 ident: 6245_CR82 publication-title: Icwsm. doi: 10.1609/icwsm.v3i1.13937 – volume: 28 start-page: 2683 year: 2016 ident: 6245_CR68 publication-title: Plant Cell doi: 10.1105/tpc.16.00600 – volume: 32 start-page: 620 year: 2016 ident: 6245_CR34 publication-title: Trends Genet doi: 10.1016/j.tig.2016.08.004 – volume: 24 start-page: 444 year: 2014 ident: 6245_CR11 publication-title: Genome Res doi: 10.1101/gr.165555.113 – volume: 81 start-page: 145 year: 2012 ident: 6245_CR16 publication-title: Annu Rev Biochem doi: 10.1146/annurev-biochem-051410-092902 – volume: 16 start-page: 123 year: 2005 ident: 6245_CR45 publication-title: Curr Opin Biotechnol doi: 10.1016/j.copbio.2005.02.001 – ident: 6245_CR41 doi: 10.1101/456749 – volume: 45 start-page: e183 year: 2017 ident: 6245_CR31 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkx866 – volume: 11 start-page: 485 year: 2010 ident: 6245_CR70 publication-title: BMC Bioinformatics. doi: 10.1186/1471-2105-11-485 – volume: 5 start-page: e1000732 year: 2009 ident: 6245_CR53 publication-title: PLoS Genet doi: 10.1371/journal.pgen.1000732 – volume: 176 start-page: 2133 year: 2018 ident: 6245_CR12 publication-title: Plant Physiol doi: 10.1104/pp.17.01657 – volume: 154 start-page: 15 year: 2002 ident: 6245_CR47 publication-title: New Phytol doi: 10.1046/j.1469-8137.2002.00352.x – volume: 11 start-page: 1650 year: 2016 ident: 6245_CR77 publication-title: StringTie and Ballgown Nat Protoc doi: 10.1038/nprot.2016.095 – volume: 15 start-page: 512 year: 2014 ident: 6245_CR5 publication-title: Genome Biol doi: 10.1186/s13059-014-0512-1 – volume: 66 start-page: 1145 year: 2015 ident: 6245_CR29 publication-title: J Exp Bot doi: 10.1093/jxb/eru473 – volume: 107 start-page: vii year: 2011 ident: 6245_CR62 publication-title: Ann Bot doi: 10.1093/aob/mcr053 – volume: 24 start-page: 4333 year: 2012 ident: 6245_CR4 publication-title: Plant Cell doi: 10.1105/tpc.112.102855 – volume: 29 start-page: 15 year: 2013 ident: 6245_CR71 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/bts635 – volume: 68 start-page: 5937 year: 2017 ident: 6245_CR17 publication-title: J Exp Bot doi: 10.1093/jxb/erx384 – volume: 19 start-page: bbw139 year: 2017 ident: 6245_CR33 publication-title: Brief Bioinform doi: 10.1093/bib/bbw139 – volume: 22 start-page: 1775 year: 2012 ident: 6245_CR3 publication-title: Genome Res doi: 10.1101/gr.132159.111 – volume: 9 start-page: 559 year: 2008 ident: 6245_CR81 publication-title: BMC Bioinformatics. doi: 10.1186/1471-2105-9-559 – volume: 326 start-page: 1112 year: 2009 ident: 6245_CR32 publication-title: Science. doi: 10.1126/science.1178534 – volume: 10 start-page: 155 year: 2009 ident: 6245_CR1 publication-title: Nat Rev Genet. doi: 10.1038/nrg2521 – volume: 27 start-page: 1623 year: 2017 ident: 6245_CR64 publication-title: Genome Res doi: 10.1101/gr.218149.116 – ident: 6245_CR10 doi: 10.1111/nph.13429 – volume: 411 start-page: 41 year: 2001 ident: 6245_CR58 publication-title: Nature. doi: 10.1038/35075138 – volume: 19 start-page: 57 year: 2009 ident: 6245_CR22 publication-title: Genome Res doi: 10.1101/gr.080275.108 – volume: 13 start-page: R107 year: 2012 ident: 6245_CR35 publication-title: Genome Biol doi: 10.1186/gb-2012-13-11-r107 – volume: 54 start-page: 201 year: 2010 ident: 6245_CR61 publication-title: Biol Plant doi: 10.1007/s10535-010-0038-7 – volume: 15 start-page: R40 year: 2014 ident: 6245_CR8 publication-title: Genome Biol doi: 10.1186/gb-2014-15-2-r40 – volume: 40 start-page: 302 year: 2017 ident: 6245_CR18 publication-title: Dev Cell doi: 10.1016/j.devcel.2016.12.021 – volume: 17 start-page: 238 year: 2016 ident: 6245_CR9 publication-title: BMC Genomics doi: 10.1186/s12864-016-2570-0 – volume: 20 start-page: 959 year: 2014 ident: 6245_CR36 publication-title: RNA. doi: 10.1261/rna.044560.114 – volume: 90 start-page: 133 year: 2017 ident: 6245_CR74 publication-title: Plant J doi: 10.1111/tpj.13481 – volume: 11 start-page: 431 year: 2010 ident: 6245_CR76 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-11-431 – volume: 6 start-page: 21623 year: 2016 ident: 6245_CR44 publication-title: Sci Rep doi: 10.1038/srep21623 – volume: 24 start-page: 4333 year: 2012 ident: 6245_CR24 publication-title: Plant Cell doi: 10.1105/tpc.112.102855 – volume: 16 start-page: 24 year: 2015 ident: 6245_CR37 publication-title: Genome Biol doi: 10.1186/s13059-014-0570-4 – volume: 351 start-page: 1083 year: 2016 ident: 6245_CR65 publication-title: Science. doi: 10.1126/science.aad5497 – volume: 7 start-page: 444 year: 2016 ident: 6245_CR40 publication-title: Front Plant Sci doi: 10.3389/fpls.2016.00444 – volume: 9 start-page: 600 year: 2018 ident: 6245_CR14 publication-title: Front Plant Sci doi: 10.3389/fpls.2018.00600 – volume: 45 start-page: W122 year: 2017 ident: 6245_CR85 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkx382 – volume: 5 start-page: 9998 year: 2015 ident: 6245_CR43 publication-title: Sci Rep doi: 10.1038/srep09998 |
SSID | ssj0017825 |
Score | 2.5007734 |
Snippet | Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of individual... Background Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the function of... Abstract Background Several studies have mined short-read RNA sequencing datasets to identify long non-coding RNAs (lncRNAs), and others have focused on the... |
SourceID | doaj pubmedcentral proquest gale pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 864 |
SubjectTerms | Abiotic stress Adaptation, Physiological - genetics Co-expression network Cold Temperature Corn DNA DNA Transposable Elements Droughts Gene Expression Regulation, Plant Gene Regulatory Networks Genes Genome, Plant Genomics Hot Temperature Long non-coding RNA RNA RNA sequencing RNA, Long Noncoding - classification RNA, Long Noncoding - genetics RNA, Long Noncoding - metabolism RNA, Plant - classification RNA, Plant - genetics RNA, Plant - metabolism Salinity Sequence Analysis, RNA Stress, Physiological - genetics Transposable elements Transposons Zea mays - genetics Zea mays - metabolism |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEBYlUOil9F23aVFKoVAwWVkPy8dNaEgDySFtIDchyVJ2Idhh7T2kv74zlndZU2guuRhjjbGlGc18sj_NEPKV17ywoea5tlLnovARzrTLQ6mdnkUOCAU3J59fqNMrcXYtr3dKfSEnLKUHTgN3KGF1XsO0mnEuhGfWeRkij1GzECW4WvS-EPM2i6nx_wHEPTn-w2RaHXbghRWyLapcFULmchKFhmT9_7rknZg05UvuBKCTF-T5iBzpPL3xS_IkNK_I01RL8v416c7t8k-gfUpW3uGOKBoSN7yjAyEdK1uBQEtv2-aGwrI_9y1GLnp5Me9ov7A9tatAV6k6fbu6pwvwKhRQLbVu2cJjadpZAiIDsTa8IVcnP34fn-ZjRYXcA2zrcxWDYE6wIJmyNZMli0Hjlyih6yKWNrK6qLxVFWjOMcZr7a2O3tVlrGZeRf6W7MHrhfeEgizomXsfvRIxMMeFDLUrICByYbXNyGwzwsaP6cax6sWtGZYdWpmkFANKMagUIzPyfXvLXcq18T_hI1TbVhDTZA8XwHjMaDzmIePJyBdUusFEGA0ybW7suuvMz1-XZq7A-Sk46Ix8G4ViCz3wdty4AOOAubMmkvsTSZipftJ8sLEtg01Ib2tCu-4MgGwEykoVGXmXbG3bMQB4ABlElZFyYoWTnk9bmuViSBSOtQWUkh8eY6g-kmcFzh9kQMp9stev1uET4LHefR6m3l8eATN0 priority: 102 providerName: Directory of Open Access Journals |
Title | Maize transposable elements contribute to long non-coding RNAs that are regulatory hubs for abiotic stress response |
URI | https://www.ncbi.nlm.nih.gov/pubmed/31729949 https://www.proquest.com/docview/2315088662 https://pubmed.ncbi.nlm.nih.gov/PMC6858665 https://doaj.org/article/5202d21903344c1abc5ef3ff81ef5067 |
Volume | 20 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bi9NAFB72grIv4t3oWkYRBCHaZC6ZPoh0ZZdVaJFqoW_DZDLTFkqiSQvWX-85SVobXHzwpZTOGZqZc_lOkjPfIeQVy1hsXMZCZYQKeWw9fFNp6BKVqr5nkKHg4eTRWF5P-eeZmB2RXXurdgOrG2_tsJ_UtFy9_flj-wEc_n3t8Eq-qyDGSqylGIQy5iIUx-QUgClBPx3xPy8VAAxF-2Lzxmln5DagKcRnJNY8QKmazP_vkH2AWd16ygOAurpL7rSZJR02pnCPHLn8PrnV9JrcPiDVyCx_ObpuyMwrPDFFXVM7XtG6YB07X4FAQVdFPqd5kYe2QGSjk_GwouuFWVNTOlo23euLcksXEHUoZL3UpMsC_pY2J09ApC68dQ_J9Ory28frsO24EFpI69ah9I5HKY-ciKTJIpFE3il8UsVVFvvE-CiLB9bIAWg2jSKWKWuUt2mW-EHfSs8ekRO4PPeEUJAFO2DWeiu5d1HKuHBZGgNgMm6UCUh_t8PatnTk2BVjpevbEiV1ox8N-tGoHy0C8mY_5XvDxfEv4QtU214QabTrH4pyrluv1CLuxxnE7D5jnNvIpFY4z7xXkfMCcDwgL1HpGokycqzEmZtNVelPXyd6KCE4SvhQAXndCvkCVmBNe7AB9gG5tTqS5x1J8GTbGX6xsy2NQ1j-lrtiU2lIwjGRljIOyOPG1vYL25lsQJKOFXZW3h3Jl4uaSBx7D0gpnv73zGfkLEb_wbJIcU5O1uXGPYckbZ32yHEyS3rk9OJy_GXSqx919Gp3_A12RT81 |
linkProvider | Scholars Portal |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Maize+transposable+elements+contribute+to+long+non-coding+RNAs+that+are+regulatory+hubs+for+abiotic+stress+response&rft.jtitle=BMC+genomics&rft.au=Lv%2C+Yuanda&rft.au=Hu%2C+Fengqin&rft.au=Zhou%2C+Yongfeng&rft.au=Wu%2C+Feilong&rft.date=2019-11-15&rft.pub=BioMed+Central&rft.eissn=1471-2164&rft.volume=20&rft_id=info:doi/10.1186%2Fs12864-019-6245-5&rft_id=info%3Apmid%2F31729949&rft.externalDocID=PMC6858665 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2164&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2164&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2164&client=summon |