Ultraviolet-Defense Mechanisms in Higher Plants

Ueda, Taro; Nakamura, Chiharu

doi:10.5504/bbeq.2011.0001

Cited by 26 publications

(25 citation statements)

References 82 publications

(88 reference statements)

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“…Different research groups are working on determining the exact role of PAs in a particular developmental process and/or the mechanism of their action in stress response by using mutants with altered levels of PAs biosynthetic enzymes. in the last few decades there has been growing interest in the development and use of different UV-hyper-resistant mutants with increased DnA repair ability, augmented content of UV-absorbing compounds, and amplified activity of ROS scavenging defence system/s (30). therefore, further experiments, using different mutants with altered concentration of PAs or UV response are necessary for better understanding of the exact mechanism of PAs action in plant response to UV-stress.…”

Section: Resultsmentioning

confidence: 99%

Polyamine Spermine Protects Young Pea Plants Against Ultraviolet-C Radiation

Todorova

Katerova

Shopova

et al. 2013

Biotechnology & Biotechnological Equipment

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Section: Resultsmentioning

confidence: 99%

Polyamine Spermine Protects Young Pea Plants Against Ultraviolet-C Radiation

Todorova

Katerova

Shopova

et al. 2013

Biotechnology & Biotechnological Equipment

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“…The meta-QTL analysis integrated TKW QTL mapping results from both the current study and 8 previously published studies, including: five durum × WEW populations (Peng et [4,8,9,22,25], two DEW × durum populations (Faris et al 2014;Russo et al 2014) [23][24], and one DEW × WEW population (Thanh et al 2013) [11]. To facilitate the identification of common QTLs, the peak markers for all detected QTLs were anchored to the Zv reference genome (Avni et al 2017) [27] using BLAST.…”

Section: Genome-based Meta-qtl Analysismentioning

confidence: 99%

“…In the meta-QTL analysis, we included the results of the QTL analysis described above (Sv × Zv RIL population), along with those of eight other previously published studies (Peng et [4,8,9,11,22,23,24,25]. Across these nine independent studies, mean TKW ranged between 10 -48 g among wild emmer parents and 30 -74 g among domesticated parents (including DEW), while population means ranged from 29.9 g -58.9 g (Table S2.…”

Section: Meta-qtl Analysismentioning

confidence: 99%

“…Even though WEW has long been recognized as an important resource for wheat improvement (Aaronsohn 1910 and others) [7], few studies have identified the possible contribution of either WEW or domesticated emmer wheat (DEW, T. turgidum ssp. dicoccum Schrank) to the yield potential of modern durum cultivars (Peleg et al 2011;Eloufi and Nachit 2004;Nave et al 2016;Thanh et al 2013) [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of <em>GRF4</em> Associated with Larger Grains

Avni¹,

Oren²,

Shabtai³

et al. 2018

Preprint

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The domestication and subsequent genetic improvement of wheat led to the development of large-seeded cultivated wheat species relative to their smaller-seeded wild progenitors. While increased grain weight (GW) continues to be an important goal of many wheat breeding programs, few genes underlying this trait have been identified despite an abundance of studies reporting quantitative trait loci (QTLs) for GW. Here we perform a QTL analysis for GW using a population of recombinant inbred lines (RILs) derived from the cross between wild emmer wheat accession 'Zavitan' and durum wheat variety 'Svevo'. Identified QTLs in this population were anchored to the recent Zavitan reference genome, along with previously published QTLs for GW in tetraploid wheat. This genome-based, meta-QTL analysis enabled the identification of a locus on chromosome 6A whose introgression from wild wheat positively affects GW. The locus was validated using an introgression line carrying the 6A GW QTL region from Zavitan in a Svevo background, resulting in >8% increase in GW compared to Svevo. Using the reference sequence for the 6A QTL region, we identified a wheat ortholog to OsGRF4, a rice gene previously associated with GW. The coding sequence of this gene (TtGRF4-A) contains four SNPs between Zavitan and Svevo, one of which reveals the Zavitan allele to be rare in a core collection of wild emmer and completely absent from the domesticated emmer genepool. Similarly, another wild emmer accession (G18-16) was found to carry a rare allele of TtGRF4-A that also positively affects GW and is characterized by a unique SNP absent from the entire core collection. These results exemplify the rich genetic diversity of wild wheat, posit TtGRF4-A as a candidate gene underlying the 6A GW QTL, and suggest that the natural Zavitan and G18-16 alleles of TtGRF4-A have potential to increase wheat yields in breeding programs. Keywords: keyword 1; keyword 2; keyword 3 (List three to ten pertinent keywords specific to the article; yet reasonably common within the subject discipline.) Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted:

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“…the latter proved to be difficult, as the types of DNA damage are legion and, consequently, the living cells have developed similarly diverse mechanisms for recognizing and repairing them. Finally, the key to this problem was found in the basic assumption that since all types of DnA repair -eventually -end up in DnA synthesis, therefore, the rate of repair could be measured by the rate of DnA synthesis (5,34,43). this solution was far from ideal, however, as the relative amount of DnA synthesis due to repair is about 1-2 orders of magnitude lower than the replicative DnA synthesis.…”

Section: Damage Assessment -How To Tell Whether There Is a Problemmentioning

confidence: 99%