Validation of yield-enhancing quantitative trait loci from a low-yielding wild ancestor of rice

Imai, Ize; Kimball, Jennifer; Conway, Benjamin; Yeater, Kathleen M.; McCouch, Susan R.; McClung, Anna M.

doi:10.1007/s11032-013-9855-7

Cited by 35 publications

(28 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This also confirms the value of O. rufipogon as a donor for improving yield and yield component traits, as observed in other studies (McCouch et al, 2007;Imai et al, 2013). Further evaluation of a set of agronomically desirable BILs in RBD led to identification of 15 higher-yielding PR114-BILs, with yield improvement up to 10% over the RP and at par with high-yielding check cultivar PAU201 (data not shown).…”

Section: Useful Introgressions From Wild "Aa" Genome Speciessupporting

confidence: 89%

Introgression of Yield Component Traits in Rice (Oryza sativa ssp. indica) through Interspecific Hybridization

et al. 2017

View full text Add to dashboard Cite

Considering the potentials of wild rice (Oryza spp.), as well as the need to enhance the yield potential of rice and to increase rice production to meet increasing demands, 1780 backcross inbred lines (BILs) were generated by crossing 70 accessions of six “AA” genome species: Oryza glaberrima Steud., Oryza barthii A. Chev., Oryza nivara Sharma & Shastry, Oryza rufipogon Griff., Oryza longistaminata A. Chev. & Roehr., and Oryza glumaepatula Steud. with two elite cultivars of Oryza sativa L. The wild species accessions were selected based on variation at the DNA markers and agromorphological traits. The BILs were generated by backcrossing F1s twice (thrice in some cases) to recipient parents, followed by continuous selfing and selection for the yield and yield component traits. The set of 1780 BC2F5 to BC2F10 BILs were evaluated in an augmented design over 3 yr. Based on ANOVA in augmented design, 108 agronomically superior BILs were selected and evaluated in randomized complete block design. Of the 108 BILs evaluated, 15 BILs showed >10% yield superiority over the recurrent parent, with spikelet per panicle and thousand‐grain weight as most significant traits contributing to yield increase. Based on the contribution of donor accessions for the improvement of yield component traits, six accessions of O. glaberrima, one of O. barthii, two of O. nivara, two of O. rufipogon, and one each of O. longistaminata and O. glumaepatula were identified as potential donors that could be used more rigorously in transferring genes to cultivated rice. The BILs generated in the present study represents a reservoir of novel genetic variation.

show abstract

Section: Useful Introgressions From Wild "Aa" Genome Speciessupporting

confidence: 89%

Introgression of Yield Component Traits in Rice (Oryza sativa ssp. indica) through Interspecific Hybridization

et al. 2017

View full text Add to dashboard Cite

show abstract

“…For example, some advanced backcross populations using the same O. rufipogon accession (IRGC 105491) as the donor parent and different O. sativa cultivar as the recurrent parent were developed and several valuable QTLs, of which alleles from the wild rice enhanced yield and yield components, were identified89101112. Additional researches have further confirmed that some QTLs truly improved the yield performance of elite cultivar or conferred beneficial effect to enhance the trait value of the breeding lines1213. Many O. rufipogon introgression lines (ILs) have been developed by repeated selfing of advanced backcross populations and provide ideal genetic materials for evaluating agronomic traits and for positional cloning of interesting genes or QTLs, because of the simple and stable genetic background of wild rice ILs1415161718.…”

mentioning

confidence: 99%

Genomic structure analysis of a set of Oryza nivara introgression lines and identification of yield-associated QTLs using whole-genome resequencing

Zhao

et al. 2016

Sci Rep

View full text Add to dashboard Cite

Oryza nivara, an annual wild AA-genome species of rice, is an important gene pool for broadening the genetic diversity of cultivated rice (O. sativa L.). Towards identifying and utilizing favourable alleles from O. nivara, we developed a set of introgression lines (ILs) by introducing O. nivara segments into the elite indica rice variety 93-11 background through advanced backcrossing and repeated selfing. Using whole-genome resequencing, a high-density genetic map containing 1,070 bin-markers was constructed for the 131 ILs, with an average length of 349 kb per bin. The 131 ILs cover 95% of O. nivara genome, providing a relatively complete genomic library for introgressing O. nivara alleles for trait improvement. Using this high-density bin-map, QTL mapping for 13 yield-related traits was performed and a total of 65 QTLs were detected across two environments. At ~36.9% of detected QTLs, the alleles from O. nivara conferred improving effects on yield-associated traits. Six cloned genes, Sh4/SHA1, Bh4, Sd1, TE/TAD1, GS3 and FZP, colocalised in the peak intervals of 9 QTLs. In conclusion, we developed new genetic materials for exploration and use of beneficial alleles from wild rice and provided a basis for future fine mapping and cloning of the favourable O. nivara-derived QTLs.

show abstract

“…Comparison of [ CO 2 ] stimulation of an introgression line ( IL 43‐1‐2) with its two parents. IL 43‐1‐2 is an introgression line genetically identical to Jefferson except for 5 introgressions from aus ‐like wild donor, IRGC 105491 (Imai et al ., ). Panicle number/plant (a–d) and panicle weight/plant (e–h) are compared across the three accessions.…”

Section: Resultsmentioning

confidence: 97%

Evidence for divergence of response in Indica, Japonica, and wild rice to high CO₂ × temperature interaction

Wang

Bunce

Tomecek

et al. 2016

Global Change Biology

Self Cite

View full text Add to dashboard Cite

High CO2 and high temperature have an antagonistic interaction effect on rice yield potential and present a unique challenge to adapting rice to projected future climates. Understanding how the differences in response to these two abiotic variables are partitioned across rice germplasm accessions may be key to identifying potentially useful sources of resilient alleles for adapting rice to climate change. In this study, we evaluated eleven globally diverse rice accessions under controlled conditions at two carbon dioxide concentrations (400 and 600 ppm) and four temperature environments (29 °C day/21 °C night; 29 °C day/21 °C night with additional heat stress at anthesis; 34 °C day/26 °C night; and 34 °C day/26 °C night with additional heat stress at anthesis) for a suite of traits including five yield components, five growth characteristics, one phenological trait, and four photosynthesis-related measurements. Multivariate analyses of mean trait data from these eight treatments divide our rice panel into two primary groups consistent with the genetic classification of INDICA/INDICA-like and JAPONICA populations. Overall, we find that the productivity of plants grown under elevated [CO2 ] was more sensitive (negative response) to high temperature stress compared with that of plants grown under ambient [CO2 ] across this diversity panel. We report differential response to CO2 × temperature interaction for INDICA/INDICA-like and JAPONICA rice accessions and find preliminary evidence for the beneficial introduction of exotic alleles into cultivated rice genomic background. Overall, these results support the idea of using wild or currently unadapted gene pools in rice to enhance breeding efforts to secure future climate change adaptation.

show abstract

Validation of yield-enhancing quantitative trait loci from a low-yielding wild ancestor of rice

Cited by 35 publications

References 44 publications

Introgression of Yield Component Traits in Rice (Oryza sativa ssp. indica) through Interspecific Hybridization

Introgression of Yield Component Traits in Rice (Oryza sativa ssp. indica) through Interspecific Hybridization

Genomic structure analysis of a set of Oryza nivara introgression lines and identification of yield-associated QTLs using whole-genome resequencing

Evidence for divergence of response in Indica, Japonica, and wild rice to high CO₂ × temperature interaction

Contact Info

Product

Resources

About

Validation of yield-enhancing quantitative trait loci from a low-yielding wild ancestor of rice

Cited by 35 publications

References 44 publications

Introgression of Yield Component Traits in Rice (Oryza sativa ssp. indica) through Interspecific Hybridization

Introgression of Yield Component Traits in Rice (Oryza sativa ssp. indica) through Interspecific Hybridization

Genomic structure analysis of a set of Oryza nivara introgression lines and identification of yield-associated QTLs using whole-genome resequencing

Evidence for divergence of response in Indica, Japonica, and wild rice to high CO2 × temperature interaction

Contact Info

Product

Resources

About

Evidence for divergence of response in Indica, Japonica, and wild rice to high CO₂ × temperature interaction