A comparison of shared patterns of differential gene expression and gene ontologies in response to water-stress in roots and leaves of four diverse genotypes of Lolium and Festuca spp. temperate pasture grasses

被引:2
作者
Fu, Yuan [1 ]
Thomas, Ann [1 ]
Gasior, Dagmara [1 ]
Harper, John [1 ]
Gay, Alan [1 ]
Jones, Charlotte [1 ]
Hegarty, Matthew [1 ]
Asp, Torben [2 ]
Fradera-Sola, Albert [3 ]
Armstead, Ian [1 ]
Fernandez-Fuentes, Narcis [1 ]
机构
[1] Aberystwyth Univ, Inst Biol Environm & Rural Sci, Aberystwyth, Ceredigion, Wales
[2] Aarhus Univ, Ctr Quantitat Genet & Genom, Slagelse, Denmark
[3] Inst Mol Biol IMB, Quantitat Prote, Mainz, Germany
来源
PLOS ONE | 2021年 / 16卷 / 04期
基金
英国生物技术与生命科学研究理事会;
关键词
PERENNIAL RYEGRASS; CANDIDATE GENES; TRANSCRIPTOME ANALYSIS; PREDICTIVE ABILITY; L; GENOTYPES; DROUGHT; IDENTIFICATION; TOLERANCE; ASSOCIATION; RESISTANCE;
D O I
10.1371/journal.pone.0249636
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Ryegrasses (Lolium spp.) and fescues (Festuca spp.) are closely related and widely cultivated perennial forage grasses. As such, resilience in the face of abiotic stresses is an important component of their traits. We have compared patterns of differentially expressed genes (DEGs) in roots and leaves of two perennial ryegrass genotypes and a single genotype of each of a festulolium (predominantly Italian ryegrass) and meadow fescue with the onset of water stress, focussing on overall patterns of DEGs and gene ontology terms (GOs) shared by all four genotypes. Plants were established in a growing medium of vermiculite watered with nutrient solution. Leaf and root material were sampled at 35% (saturation) and, as the medium dried, at 15%, 5% and 1% estimated water contents (EWCs) and RNA extracted. Differential gene expression was evaluated comparing the EWC sampling points from RNAseq data using a combination of analysis methods. For all genotypes, the greatest numbers of DEGs were identified in the 35/1 and 5/1 comparisons in both leaves and roots. In total, 566 leaf and 643 root DEGs were common to all 4 genotypes, though a third of these leaf DEGs were not regulated in the same up/down direction in all 4 genotypes. For roots, the equivalent figure was 1% of the DEGs. GO terms shared by all four genotypes were often enriched by both up- and down-regulated DEGs in the leaf, whereas generally, only by either up- or down-regulated DEGs in the root. Overall, up-regulated leaf DEGs tended to be more genotype-specific than down-regulated leaf DEGs or root DEGs and were also associated with fewer GOs. On average, only 5-15% of the DEGs enriching common GO terms were shared by all 4 genotypes, suggesting considerable variation in DEGs between related genotypes in enacting similar biological processes.
引用
收藏
页数:21
相关论文
共 71 条
  • [1] Changes in Lolium perenne transcriptome during cold acclimation in two genotypes adapted to different climatic conditions
    Abeynayake, Shamila Weerakoon
    Byrne, Stephen
    Nagy, Istvan
    Jonaviciene, Kristina
    Etzerodt, Thomas Povl
    Boelt, Birte
    Asp, Torben
    [J]. BMC PLANT BIOLOGY, 2015, 15
  • [2] QTL analyses and comparative genetic mapping of frost tolerance, winter survival and drought tolerance in meadow fescue (Festuca pratensis Huds.)
    Alm, Vibeke
    Busso, Carlos S.
    Ergon, Ashild
    Rudi, Heidi
    Larsen, Arild
    Humphreys, Michael W.
    Rognli, Odd Arne
    [J]. THEORETICAL AND APPLIED GENETICS, 2011, 123 (03) : 369 - 382
  • [3] Comprehensive Transcriptome Profiling and Identification of Potential Genes Responsible for Salt Tolerance in Tall Fescue Leaves under Salinity Stress
    Amombo, Erick
    Li, Xiaoning
    Wang, Guangyang
    An, Shao
    Wang, Wei
    Fu, Jinmin
    [J]. GENES, 2018, 9 (10)
  • [4] Do we need specific breeding for legume-based mixtures?
    Annicchiarico, Paolo
    Collins, Rosemary P.
    De Ron, Antonio M.
    Firmat, Cyril
    Litrico, Isabelle
    Hauggaard-Nielsen, Henrik
    [J]. ADVANCES IN AGRONOMY, VOL 157, 2019, 157 : 141 - 215
  • [5] Genomic Predictive Ability for Foliar Nutritive Traits in Perennial Ryegrass
    Arojju, Sai Krishna
    Cao, Mingshu
    Zulfi Jahufer, M. Z.
    Barrett, Brent A.
    Faville, Marty J.
    [J]. G3-GENES GENOMES GENETICS, 2020, 10 (02): : 695 - 708
  • [6] Genomic prediction of crown rust resistance in Lolium perenne
    Arojju, Sai Krishna
    Conaghan, Patrick
    Barth, Susanne
    Milbourne, Dan
    Casler, Michael D.
    Hodkinson, Trevor R.
    Michel, Thibauld
    Byrne, Stephen L.
    [J]. BMC GENETICS, 2018, 19
  • [7] Genetic-geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping
    Blackmore, T.
    Thomas, I.
    McMahon, R.
    Powell, W.
    Hegarty, M.
    [J]. THEORETICAL AND APPLIED GENETICS, 2015, 128 (10) : 1917 - 1932
  • [8] Trimmomatic: a flexible trimmer for Illumina sequence data
    Bolger, Anthony M.
    Lohse, Marc
    Usadel, Bjoern
    [J]. BIOINFORMATICS, 2014, 30 (15) : 2114 - 2120
  • [9] Response to salt stress imposed on cultivars of three turfgrass species: Poa pratensis, Lolium perenne, and Puccinellia distans
    Bushman, B. Shaun
    Robbins, Matthew D.
    Robins, Joseph G.
    Thorsted, Kimberly
    Harris, Paul
    Johnson, Paul G.
    [J]. CROP SCIENCE, 2020, 60 (03) : 1648 - 1659
  • [10] A synteny-based draft genome sequence of the forage grass Lolium perenne
    Byrne, Stephen L.
    Nagy, Istvan
    Pfeifer, Matthias
    Armstead, Ian
    Swain, Suresh
    Studer, Bruno
    Mayer, Klaus
    Campbell, Jacqueline D.
    Czaban, Adrian
    Hentrup, Stephan
    Panitz, Frank
    Bendixen, Christian
    Hedegaard, Jakob
    Caccamo, Mario
    Asp, Torben
    [J]. PLANT JOURNAL, 2015, 84 (04) : 816 - 826