Dataset Information

Genome Wide Association Mapping of Grain and Straw Biomass Traits in the Rice Bengal and Assam Aus Panel (BAAP) Grown Under Alternate Wetting and Drying and Permanently Flooded Irrigation.

ABSTRACT: Growing demand for staple crops like rice will need to be achieved predominately through agricultural intensification and more efficient use of inputs. To meet this demand it is essential that the genetic diversity within rice is fully utilized. The aus subpopulation is considered an underappreciated resource within that diversity. A new rice panel, the Bengal and Assam Aus Panel (BAAP) of 266 aus accessions was generated with ?2 million informative SNPs obtained using skim sequencing at ?4× depth. The BAAP was grown in the field in Bangladesh in the 'boro' season under both continuously flooded and Alternate Wetting and Drying (AWD) irrigation during 2013 and 2014 in Mymensingh and during 2014 in Madhupur. Heading date, grain mass, straw biomass and harvest index were measured. The majority (94%) of BAAP accessions flowered within a relatively small window of 10 days. The AWD irrigation treatment generally caused an increase in grain mass, but no significant genotype by treatment interactions were detected for this trait. Shoot biomass was the only trait that showed evidence of genotype by treatment interaction. The average LD (Linkage Disequilibrium) decay across the genome was 243 Kbp. Genome wide association mapping revealed 115 quantitative trait loci (QTLs). There was little evidence of QTLs specific to the irrigation treatment, and only a few QTLs co-localized with known genes. However, some QTLs were detected across multiple sites and years. These QTLs should be targets for breeding, and include a region around 2.2 Mbp on chromosome 1, a large region in the middle of chromosome 7 and two regions on chromosome 11 (?10 Mbp and ?29 Mbp). The BAAP appears to be a valuable addition to the growing collection of GWA mapping populations of rice.

SUBMITTER: Norton GJ

PROVIDER: S-EPMC6129953 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Genome Wide Association Mapping of Grain and Straw Biomass Traits in the Rice Bengal and Assam Aus Panel (BAAP) Grown Under Alternate Wetting and Drying and Permanently Flooded Irrigation.

Norton Gareth J GJ Travis Anthony J AJ Douglas Alex A Fairley Susan S Alves Eduardo De Paiva EP Ruang-Areerate Panthita P Naredo Ma Elizabeth B MEB McNally Kenneth L KL Hossain Mahmud M Islam Md Rafiqul MR Price Adam H AH

Frontiers in plant science 20180903

Growing demand for staple crops like rice will need to be achieved predominately through agricultural intensification and more efficient use of inputs. To meet this demand it is essential that the genetic diversity within rice is fully utilized. The <i>aus</i> subpopulation is considered an underappreciated resource within that diversity. A new rice panel, the Bengal and Assam Aus Panel (BAAP) of 266 <i>aus</i> accessions was generated with ∼2 million informative SNPs obtained using skim sequenc ...[more]

PMID: 30233605

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Project description:BACKGROUND:Rice is a global staple crop, being the main calorific component of many people living subsistence livelihoods. Rice can accumulate toxic elements such as arsenic, with the crop water management strongly affecting uptake. This study utilises the Bengal and Assam Aus Panel to conduct genome wide association (GWA) mapping for arsenic in shoots and grains of rice grown over 2 years under continually flooded (CF) and alternate wetting and drying (AWD). The aim was to assess genotype by water management interaction, identify quantitative trait loci (QTL) for arsenic accumulation, and propose candidate genes for lowering grain arsenic. RESULTS:AWD significantly reduced grain arsenic across all cultivars on average by 15.7 and 15.1% in year 1 and 2 respectively and shoot arsenic by 27.0% compared to the plants grown under CF. There was a weak cultivar by treatment interaction for grain for arsenic. All traits were strongly influenced by cultivar. GWA mapping identified a large number of 74 individual QTLs for arsenic, with six QTLs showing stability across years and/or water treatments. Three of the loci (one on chromosome 3, one on chromosome 4, and one on chromosome 5) were investigated in detail using an approach of clustering cultivars that had similar haplotypes for the QTL regions and then looking at the phenotypic values across the clusters. Two of the identified QTLs co-localised with known genes involved in arsenic accumulation, including Lsi2 which has not previously been reported to underlie a grain arsenic QTL. CONCLUSIONS:This study has identified a number of novel QTLs for arsenic accumulation, as well as cultivars that consistently accumulate less arsenic over multiple field traits. The use of a haplotype clustering approach after GWA mapping has allowed for the effect, in terms of arsenic accumulation, to be determined for cultivars that share similar genomic sequence. Allocating nine high yielding Bangladeshi cultivars to these clusters has identified the potential of utilising these QTLs in breeding programmes; for example, incorporation of the QTL on chromosome 5 should decrease grain arsenic in elite high yielding Bangladeshi cultivars by 10% in all high yielding cultivars studied.

Project description:Reducing water requirements and lowering environmental footprints require attention to minimize risks to food security. The present study was conducted with the aim to identify appropriate root traits enhancing rice grain yield under alternate wetting and drying conditions (AWD) and identify stable, high-yielding genotypes better suited to the AWD across variable ecosystems. Advanced breeding lines, popular rice varieties and drought-tolerant lines were evaluated in a series of 23 experiments conducted in the Philippines, India, Bangladesh, Nepal and Cambodia in 2015 and 2016. A large variation in grain yield under AWD conditions enabled the selection of high-yielding and stable genotypes across locations, seasons and years. Water savings of 5.7-23.4% were achieved without significant yield penalty across different ecosystems. The mean grain yield of genotypes across locations ranged from 3.5 to 5.6 t/ha and the mean environment grain yields ranged from 3.7 (Cambodia) to 6.6 (India) t/ha. The best-fitting Finlay-Wilkinson regression model identified eight stable genotypes with mean grain yield of more than 5.0 t/ha across locations. Multidimensional preference analysis represented the strong association of root traits (nodal root number, root dry weight at 22 and 30 days after transplanting) with grain yield. The genotype IR14L253 outperformed in terms of root traits and high mean grain yield across seasons and six locations. The 1.0 t/ha yield advantage of IR14L253 over the popular cultivar IR64 under AWD shall encourage farmers to cultivate IR14L253 and also adopt AWD. The results suggest an important role of root architectural traits in term of more number of nodal roots and root dry weight at 10-20 cm depth on 22-30 days after transplanting (DAT) in providing yield stability and preventing yield reduction under AWD compared to continuous flooded conditions. Genotypes possessing increased number of nodal roots provided higher yield over IR64 as well as no yield reduction under AWD compared to flooded irrigation. The identification of appropriate root architecture traits at specific depth and specific growth stage shall help breeding programs develop better rice varieties for AWD conditions.

Project description:Climate change is predicted to alter precipitation and drought patterns, which has become a global concern as evidence accumulates that it will affect ecosystem services. Disentangling the ability of soil multifunctionality to withstand this stress (multifunctionality resistance) is a crucial topic for assessing the stability and adaptability of agroecosystems. In this study, we explored the effects of nutrient addition on multifunctionality resistance to drying-wetting cycles and evaluated the importance of microbial functional capacity (characterized by the abundances of genes involved in carbon, nitrogen and phosphorus cycles) for this resistance. The multifunctionality of soils treated with nitrogen (N) and straw showed a higher resistance to drying-wetting cycles than did nonamended soils. Microbial functional capacity displayed a positive linear relationship with multifunctionality resistance. Random forest analysis showed that the abundances of the archeal amoA (associated with nitrification) and nosZ and narG (denitrification) genes were major predictors of multifunctionality resistance in soils without straw addition. In contrast, major predictors of multifunctionality resistance in straw amended soils were the abundances of the GH51 (xylan degradation) and fungcbhIF (cellulose degradation) genes. Structural equation modeling further demonstrated the large direct contribution of carbon (C) and N cycling-related gene abundances to multifunctionality resistance. The modeling further elucidated the positive effects of microbial functional capacity on this resistance, which was mediated potentially by a high soil fungus/bacterium ratio, dissolved organic C content, and low pH. The present work suggests that nutrient management of agroecosystems can buffer negative impacts on ecosystem functioning caused by a climate change-associated increase in drying-wetting cycles via enriching functional capacity of microbial communities.IMPORTANCE Current climate trends indicate an increasing frequency of drying-wetting cycles. Such cycles are severe environmental perturbations and have received an enormous amount of attention. Prediction of ecosystem's stability and adaptability requires a better mechanistic understanding of the responses of microbially mediated C and nutrient cycling processes to external disturbance. Assessment of this stability and adaptability further need to disentangle the relationships between functional capacity of soil microbial communities and the resistance of multifunctionality. Study of the physiological responses and community reorganization of soil microbes in response to stresses requires large investments of resources that vary with the management history of the system. Our study provides evidence that nutrient managements on agroecosystems can be expected to buffer the impacts of progressive climate change on ecosystem functioning by enhancing the functional capacity of soil microbial communities, which can serve as a basis for field studies.

Project description:As the global population grows, demand on food production will also rise. For rice, one limiting factor effecting production could be availability of fresh water, hence adoption of techniques that decrease water usage while maintaining or increasing crop yield are needed. Alternative wetting and drying (AWD) is one of these techniques. AWD is a method by which the level of water within a rice field cycles between being flooded and nonflooded during the growth period of the rice crop. The degree to which AWD affects cultivars differently has not been adequately addressed to date. In this study, 22 rice cultivars, mostly landraces of the aus subpopulation, plus some popular improved indica cultivars from Bangladesh, were tested for their response to AWD across three different field sites in Bangladesh. Grain and shoot elemental concentrations were determined at harvest. Overall, AWD slightly increased grain mass and harvest index compared to plants grown under continually flooded (CF) conditions. Plants grown under AWD had decreased concentrations of nitrogen in their straw compared to plants grown under CF. The concentration of elements in the grain were also affected when plants were grown under AWD compared to CF: Nickel, copper, cadmium and iron increased, but sodium, potassium, calcium, cobalt, phosphorus, molybdenum and arsenic decreased in the grains of plants grown under AWD. However, there was some variation in these patterns across different sites. Analysis of variance revealed no significant cultivar × treatment interaction, or site × cultivar × treatment interaction, for any of the plant mass traits. Of the elements analyzed, only grain cadmium concentrations were significantly affected by treatment × cultivar interactions. These data suggest that there is no genetic adaptation amongst the cultivars screened for response to AWD, except for grain cadmium concentration and imply that breeding specifically for AWD is not needed.

Dataset Information

Genome Wide Association Mapping of Grain and Straw Biomass Traits in the Rice Bengal and Assam Aus Panel (BAAP) Grown Under Alternate Wetting and Drying and Permanently Flooded Irrigation.

Publications

Genome Wide Association Mapping of Grain and Straw Biomass Traits in the Rice Bengal and Assam Aus Panel (BAAP) Grown Under Alternate Wetting and Drying and Permanently Flooded Irrigation.

Similar Datasets

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