东北三省2021年水稻审定品种的核心亲本遗传多样性与籼粳分化北大核心CSCD

为了阐明东北三省近年育成水稻品种的遗传基础,该研究通过对2021年育成的256个水稻新品种的系谱进行分析,确定了20个材料为育种核心亲本,并利用44对多态性SSR分子标记和34对InDel籼粳特异性分子标记分析了它们的遗传多样性和籼粳分化程度。结果表明:(1)SSR标记能够高效评价参试材料的多样性水平,共检测到130个等位基因,每个位点检测等位基因(Na)变异为2~5个,平均为2.95个;基因多样性指数(H)变异为0.10~0.75,平均为0.41;多态性信息含量(PIC)变异为0.09~0.70,平均为0.36。(2)遗传多样性分析表明,东北三省20份水稻核心亲本的整体多样性水平较低,黑龙江省核心亲本多样性略高于辽宁省和吉林省。(3)NJ聚类分析表明,20份核心亲本可以划分为3个类群,分别为辽宁类群、吉林类群和黑龙江类群。(4)遗传结构分析表明,20份核心亲本可划分为2个稳定的类群,其中辽宁省核心亲本均处于A类群,黑龙江省核心亲本均处于B类群。(5)籼粳分化分析表明,20份核心亲本遗传背景均为粳稻类型,但都含有少数籼型位点,其籼型基因频率F在0.01~0.19范围内。研究认为,东北三省水稻育种核心亲本遗传基础狭窄、使用频率较高是导致育成品种遗传多样性水平较低的可能原因,在育种中亟待挖掘新种质、引入新资源,丰富遗传背景。     

宁夏不同年代水稻品种的遗传多样性比较

对宁夏不同阶段主栽水稻品种(系)的主要农艺性状比较表明,第1阶段(1950-1962年)宁夏地方品种与第2阶段(1978-1989年)、第3阶段(1990-1999年)、第4阶段(2000-2005年)、第5阶段(2006-2012年)、第6阶段(2010-2013年)育成品种(系)的农艺性状差异显著,说明通过育种手段宁夏水稻品种的主要农艺性状得到了改良;从第2阶段到第6阶段的变化趋势为生育天数变长,有效穗数减少,穗长、穗粒数、单株粒重、单穗粒重、产量等增加,说明产量性状的育种改良从穗数型向穗粒兼顾型或穗重型发展。利用48对SSR引物对76份宁夏不同年代水稻品种(系)进行遗传多样性分析表明,共检测出290个等位基因,每个位点等位基因变幅为3~15个,平均6.04个;稀有等位基因有109个,占等位基因总数的37.59%;多态信息含量(PIC)变异范围为0.1423~0.8783,平均为0.5512;Nei’s基因多样性指数(He)的变幅为0.1492~0.8945,平均为0.6032。RM333、RM297、RM249、RM501和RM206引物表现为较高的等位基因数和稀有等位基因数,认为较适合应用于宁夏水稻品种的遗传多样性检测。分子方差分析(AMOVA)结果表明,6个不同阶段间遗传变异占总体变异的19.27%,各阶段内品种间的遗传变异占总体变异的80.73%。参试水稻UPGMA聚类分析表明,在遗传相似系数(GS)为0.805处可将其划分为5大类群,12个地方品种都被聚为第Ⅰ类群,具有外来引进血缘的8个常规粳稻品种被聚为第Ⅱ类群,5个优质常规粳稻被聚为第Ⅲ类群,第Ⅴ类群包括2个大穗高产品种,49个宁夏常规粳稻选育品种被聚为第Ⅳ类,说明大多数宁夏水稻品种的亲缘关系较近。6个不同阶段品种聚类分析,第1阶段(地方品种)独聚一类,第2、第3、第4阶段与第5、第6阶段育成品种亲缘关系相对较远;表明不同年代宁夏水稻遗传多样性有较大差异,2005年后宁夏水稻品种的遗传多样性趋于变小。宁夏水稻育种中应加强国内外种质资源的引进和利用,深入挖掘宁夏稻区地方品种和杂草稻资源的有利基因,拓宽宁夏水稻品种的遗传基础,以促进宁夏水稻育种的快速发展。     

云南栽培稻种SSR遗传多样性比较

采用64个SSR标记对96份云南水稻（Oryza sativa）地方品种和选育品种的遗传多样性进行比较分析。结果发现64个标记都具有多态性,共检测到741个等位基因,每个多态性位点检测到的等位基因数为2—29个,平均11．57个：Nei基因多样性指数（He）范围在0．345（RM321）-0．932（RM1）之间,平均为0．56。水稻品种的遗传多样性并非按地理位置均匀分布,而是在相似系数为0．17的水平上明显分为2个不同类群,即籼稻类群和粳稻类群,且籼粳亚种间的SSR多样性差异不明显,籼稻平均等位基因数（Ap）和Nei基因多样性指数（Ap=10．6,He=0．46）与粳稻品种（Ap=10．7,He=0．48）十分接近,可能与这些品种间存在一定频率的基因交流有关。糯稻和非糯稻在籼稻群和粳稻群中都有表现,没有特别的分布规律。云南栽培稻选育品种与地方稻亲缘关系较近,其遗传基础可能来源于云南水稻地方品种。本研究结果表明,SSR标记能较好地区分云南栽培稻品种,且云南水稻地方品种遗传多样性丰富,存在大量的优质性状可供育种实践选择。     

云南栽培稻种SSR 遗传多样性比较

采用64个SSR标记对96份云南水稻(Oryz a sativa)地方品种和选育品种的遗传多样性进行比较分析。结果发现64个标记都具有多态性, 共检测到741个等位基因, 每个多态性位点检测到的等位基因数为2-29个, 平均11.57个; Nei基因多样性指数(He)范围在0.345(RM321)-0.932(RM1)之间, 平均为0.56。水稻品种的遗传多样性并非按地理位置均匀分布, 而是在相 似系数为0.17的水平上明显分为2个不同类群, 即籼稻类群和粳稻类群, 且籼粳亚种间的SSR多样性差异不明显, 籼稻平均等位基因数(Ap)和Nei基因多样性指数(Ap=10.6, He=0.46)与粳稻品种(Ap=10.7, He=0.48)十分接近, 可能与这些品种间存在一定频率的基因交流有关。糯稻和非糯稻在籼稻群和粳稻群中都有表现, 没有特别的分布规律。云南栽培稻选育品种与地方稻亲缘关系较近, 其遗传基础可能来源于云南水稻地方品种。本研究结果表明, SSR标记能较好地区分云南栽培稻品种, 且云南水稻地方品种遗传多样性丰富, 存在大量的优质性状可供育种实践选择。     

黑龙江省近年审定水稻品种基于SSR标记的遗传多样性分析

为评估黑龙江省水稻品种的遗传基础,利用24个用于水稻DNA指纹图谱构建的SSR标记以及其他均匀分布于水稻12条染色体的38个SSR标记,对黑龙江省近年审定的73个水稻常规稻品种进行遗传多样性分析。结果表明,在62个SSR标记位点中,共检测到142个等位基因,平均每个标记2.3个,多态性比率平均为71.0%,多态性频率变幅为0~0.775,平均值为0.246。供试品种间两两遗传相似系数的平均值为0.759,变幅为0.622~0.966,且96.4%的品种间遗传相似系数在0.66~0.86之间,表明供试的73个品种亲缘关系较近。通过SSR标记基因型聚类分析将这些品种划分为6个类群,与系谱分析趋势一致,类群间的差异主要表现在生育期和米质方面。综上所述,黑龙江省近年审定的水稻品种遗传基础狭窄,在育种中需要导入新的种质资源,加强种质资源创新,以期丰富水稻品种的遗传多样性,进一步提高水稻产量和抗性。     

基于CSSL的水稻抽穗期QTL定位及遗传分析

抽穗期是水稻（Oryza sativa）品种的重要农艺性状之一,适宜的抽穗期是获得理想产量的前提。鉴定和定位水稻抽穗期基因/QTL,分析其遗传效应对改良水稻抽穗期至关重要。以籼稻品种9311（Oryzasativa ssp.indica‘Yangdao 6’）为受体,粳稻品种日本晴（Oryza sativa ssp.japonica‘Nipponbare’）为供体构建的94个染色体片段置换系群体为材料,以P≤0.01为阈值,对置换片段上的抽穗期QTL进行了鉴定。采用代换作图法共定位了4个控制水稻抽穗期的QTL,分别位于第3、第4、第5和第8染色体;QTL的加性效应值变化范围为–6.4––2.7,加性效应百分率变化范围为–6.4%––2.7%;qHD-3和qHD-8加性效应值较大,表现主效基因特征。为了进一步定位qHD-3和qHD-8,在目标区域加密16对SSR引物,qHD-3和qHD-8分别被界定在第3染色体RM3166–RM16206之间及第8染色体RM4085–RM8271之间,其遗传距离分别为13.9cM和6.4cM。研究结果为利用分子标记辅助选择改良水稻抽穗期奠定了基础。     

水稻线粒体特异序列在细胞质多态性鉴定中的应用

为了开发一套用于水稻细胞质多态性鉴定的分子标记,本研究通过对已测序的4个水稻线粒体基因组CW-CMS、LD-CMS、Nipponbare和9311线粒体基因组进行比较分析,获得55个大于100 bp的线粒体特异序列,并开发出一套水稻线粒体特异序列分子标记。该套分子标记稳定可靠,在对随机选择的23个水稻品种的线粒体组型鉴定中,共有24个线粒体特异标记扩增出多态性,使用UPGMA法聚类分析,在相似系数为0.46,可以将23水稻品种分为2大类群,其中第一大群可分为两个小类群,类群Ⅰ为粳稻聚类群,该类群大部分为粳稻品种,同时也有2个籼稻品种,推测这两个品种细胞质来源于粳稻;类群Ⅱ包含两个籼稻品种,与粳稻的细胞质亲缘关系较近;而第二大聚类群全部为籼稻品种,大部分品种间多态性丰富。因此,该套水稻线粒体特异序列标记可用于水稻细胞质多态性鉴定分析,同时该类型分子标记的开发对于其他物种的细胞质多态性鉴定具有指导意义。     

基于CSSL的水稻抽穗期QTL定位及遗传分析

抽穗期是水稻(Oryza sativa)品种的重要农艺性状之一, 适宜的抽穗期是获得理想产量的前提。鉴定和定位水稻抽穗期基因/QTL, 分析其遗传效应对改良水稻抽穗期至关重要。以籼稻品种9311(Oryza sativa ssp. indica ‘Yangdao 6’)为受体,粳稻品种日本晴(Oryza sativa ssp. japonica ‘Nipponbare’)为供体构建的94个染色体片段置换系群体为材料, 以P≤0.01为阈值, 对置换片段上的抽穗期QTL进行了鉴定。采用代换作图法共定位了4个控制水稻抽穗期的QTL, 分别位于第3、第4、第5和第8染色体; QTL的加性效应值变化范围为–6.4 – –2.7, 加性效应百分率变化范围为–6.4%– –2.7%; qHD-3和qHD-8加性效应值较大, 表现主效基因特征。为了进一步定位qHD-3和qHD-8, 在目标区域加密16对SSR引物, qHD-3和qHD-8分别被界定在第3染色体RM3166–RM16206之间及第8染色体RM4085-RM8271之间, 其遗传距离分别为13.9 cM和6.4 cM。研究结果为利用分子标记辅助选择改良水稻抽穗期奠定了基础。     

不同国家水稻品种的遗传多样性分析

探讨世界不同国家水稻品种的遗传多样性,旨在为各国品种资源的有效利用提供理论依据。本研究利用63对引物对36份来源于不同国家的水稻品种进行遗传多样性分析。共检测到269个等位基因,每个位点的等位基因数(Na)平均为4.54个,有效等位基因数(Ne)平均为3.22,基因多样性指数(H)平均为0.64,Shannon’s信息指数(I)平均为1.21,引物RM206、RM257、RM410、RM235、RM266的等位基因数较多在7条以上。所处纬度相近的国家或地区的水稻品种之间的遗传距离较近,被聚为同一类群,而所处纬度较远的国家或地区的水稻品种被分到了不同类群。结果表明,水稻品种之间的遗传差异与纬度和地理距离有很大的关系。     

30个粳稻品种SSR标记遗传多样性分析

选用分布于水稻12条染色体上的64对SSR引物,对江苏省育成以及日本引进的粳稻品种共30份材料进行遗传多样性分析。结果表明,有50对SSR引物在30个品种间表现为多态性。共检测到140个等位基因,每对引物的等位基因数变幅为2～5个,平均为2．8个。有效等位基因为94．336个,平均为1．887。每个SSR位点的多态性信息量（PIC）变化范围为0．064～0．752,平均为0．410。30个品种间的遗传相似系数变幅为0．386～0．956之间,平均值为0．719,且81．4％的供试品种其遗传相似系数在0．600～0．800之间,亲缘关系较近;以遗传相似系数为原始数据,按UPGMA方法将30个品种划分为3大类群,结合系谱分析结果表明,江苏省育成的水稻品种遗传多样性不够丰富,多数品种间的亲缘关系较近,欲进一步提高江苏省水稻产量还需拓宽亲本选择范围,扩大遗传背景。     

SSR based genetic diversity of pigmented and aromatic rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.) genotypes of the western Himalayan region of India

A set of 24 of SSR markers were used to estimate the genetic diversity in 16 rice genotypes found in Western Himalayas of Kashmir and Himachal Pradesh, India. The level of polymorphism among the genotypes of rice was evaluated from the number of alleles and PIC value for each of the 24 SSR loci. A total of 68 alleles were detected across the 16 genotypes through the use of these 24 SSR markers The number of alleles per locus generated varied from 2 (RM 338, RM 452, RM 171) to 6 (RM 585, RM 249, RM 481, RM 162). The PIC values varied from 0.36 (RM 1) to 0.86 (RM 249) with an average of 0.62 per locus. Based on information generated, the genotypes got separated in six different clusters. Cluster 1 comprised of 4 genotypes viz; Zag 1, Zag 13, Pusa sugandh 3, and Zag 14, separated from each other at a similarity value of 0.40. Cluster second comprised of 3 landraces viz; Zag 2. Zag 4 and Zag10 separated from each other at a similarity value of 0.45. Cluster third comprised of 3 genotypes viz; Grey rice, Mushk budji and Kamad separated from each other at a similarity value of 0.46. Cluster fourth had 2 landraces viz; Kawa kreed and Loual anzul, and was not sub clustered. Fifth cluster had 3 genotypes viz; Zag 12, Purple rice and Jhelum separated from each other at a similarity value of 0.28. Cluster 6 comprised of a single popular variety i.e. Shalimar rice 1 with independent lineage.     

Simple sequence repeat diversity in diploid and tetraploid Coffea species.

Thirty-four fluorescently labeled microsatellite markers were used to assess genetic diversity in a set of 30 Coffea accessions from the CENICAFE germplasm bank in Colombia. The plant material included one sample per accession of seven East African accessions representing five diploid species and 23 wild and cultivated tetraploid accessions of Coffea arabica from Africa, Indonesia, and South America. More allelic diversity was detected among the five diploid species than among the 23 tetraploid genotypes. The diploid species averaged 3.6 alleles/locus and had an average polymorphism information content (PIC) value of 0.6, whereas the wild tetraploids averaged 2.5 alleles/locus and had an average PIC value of 0.3 and the cultivated tetraploids (C. arabica cultivars) averaged 1.9 alleles/locus and had an average PIC value of 0.22. Fifty-five percent of the alleles found in the wild tetraploids were not shared with cultivated C. arabica genotypes, supporting the idea that the wild tetraploid ancestors from Ethiopia could be used productively as a source of novel genetic variation to expand the gene pool of elite C. arabica germplasm.     

Nuclear- and chloroplast-microsatellite variation in A-genome species of rice.

Simple sequence length polymorphism analysis was carried out to reveal microsatellite variation and to clarify the phylogenetic relationships among A-genome species of rice. Total DNA from 29 cultivars (23 Oryza sativa and 6 O. glaberrima) and 30 accessions of wild A-genome species (12 O. rufipogon, 5 O. glumaepatula, 2 O. longistaminata, 6 O. meridionalis, and 5 O. barthii) was used as a template for PCR to detect 24 nuclear and 10 chloroplast microsatellite loci. Microsatellite allelic diversity was examined based on amplified banding patterns. Microsatellites amplified clearly in all 59 accessions, with an average of 18.4 alleles per locus. The polymorphism information content (PIC) value ranged from 0.85 to 0.94, with an average of 0.89. At the species level, high average PIC values were observed in O. sativa (0.79) and O. rufipogon (0.80). For chloroplast microsatellites, the average number of alleles per locus and the average PIC value were 2.9 and 0.38, respectively. While the magnitude of diversity was much greater for nuclear microsatellites than for chloroplast microsatellites, they showed parallel patterns of differentiation for each taxonomic group. Using the ratio of common alleles (estimated as size of amplified fragments) as a similarity index, the average percentages of common microsatellite alleles were calculated between taxa. For both nuclear and chloroplast microsatellites, O. sativa showed the highest similarity values to O. rufipogon, and O. glaberrima was most similar to O. barthii. These data support previous evidence that these cultivars originated from the corresponding wild ancestral species.     

河北省绿子叶黑豆种质资源表现型和ISSR标记遗传多样性分析

为了揭示河北省绿子叶黑豆种质资源的遗传多样性,为其研究利用提供理论根据,以46份原产河北省的绿子叶黑豆种质资源为试验材料,对其基于表型性状及ISSR标记鉴定结果进行了聚类分析,结果表明:7个ISSR引物共检测出60个等位变异,平均每个位点有8.6个等位变异,变幅为5～17个;ISSR引物的多态性信息量PIC变幅为0.721～0.927,平均0.820;利用表型性状和ISSR标记数据进行品种间遗传多样性分析,遗传相似系数变化范围分别为0.07～0.53和0.43～1.00,平均为0.284和0.704,遗传相似性变幅较大,河北省不同绿子叶黑豆品种间存在着丰富的遗传多样性。聚类结果显示,类群与品种来源地有关。     

Population structure and genetic diversity analysis of Indian and exotic rice (Oryza sativa L.) accessions using SSR markers

In order to understand the population structure and genetic diversity among a set of 82 rice genotypes collected from different parts of the Asian countries including India were characterized using 39 microsatellite loci. The Population structure analysis suggested that the optimum number of subpopulations was four (K = 4) among the rice genotypes, whereas phylogenetic analysis grouped them into three populations. The results obtained from phylogenetic and STRUCTURE analysis proved to be very powerful for the differentiation of rice genotypes based on their place of origin. The genetic diversity analysis using 39 SSR loci yielded 183 scorable alleles, out of which 182 alleles were observed to be polymorphic with an average of 4.8 alleles per locus. The Polymorphism Information Content (PIC) values for all the polymorphic primers across 82 rice genotypes varied from 0.02 to 0.77, with an average of 0.50. Gene diversity (He) was found to be in the range of 0.02 (RM484) to 0.80 (OSR13) with an average value of 0.55, while heterozygosity (Ho) was observed with an average of 0.07, ranging from 0.01 (RM334) to 0.31 (RM316). The present study resulted in identification of seven highly polymorphic SSR loci viz., OSR13, RM152, RM144, RM536, RM489, RM259 and RM271 based on the parameters like PIC value (≥0.70), gene diversity (≥0.71), and polymorphic alleles (≥6). These seven polymorphic primers can effectively be used in further molecular breeding programs and QTL mapping studies of rice since they exhibited very high polymorphism over other loci. SSR analysis resulted in a more definitive separation of clustering of genotypes indicating a higher level of efficiency of SSR markers for the accurate determination of relationships between accessions.     

基于SSR标记的贵州薏苡种质资源遗传多样性?分析

利用SSR标记研究了22份薏苡种质的遗传多样性,用11对扩增带型稳定的SSR引物从供试材料中检测出105个等位基因变异,每对引物检测等位基因4～20个,平均9.55个。SSR引物的PIC介于0.3048～0.9238,平均多态性信息量为0.8255。利用UPGMA聚类分系法将供试自交系划分为4类,该划分结果与根据地理来源、种质系谱的分类结果基本一致。SSR分子标记辅助的种质改良是薏苡品种改良的重要途径。     

云南当前种植地方稻种SSR遗传多样性分析

本研究选用20对SSR引物对2007～2008年间从云南省56个县（区）收集的416份地方稻种进行遗传多样性分析。共检测到116个等位变异,每个位点变幅为3～13,平均为5.8个;SSR引物多态性信息含量PIC指数平均为0.681,最小为RM18的0.349到最大RM6748的为0.891;56个县的PIC变幅为0.025～0.679,平均为0.381,勐海县的PIC最高,广南县等仅有1份参试材料的8个县的PIC最低。聚类结果表明,在遗传一致度为0.362处将56个县分为3个类群,第Ⅰ类包括勐海等54个县,在阈值为0.499处又分为两个亚类,其中亚类Ⅰ-1包括36个县,亚类Ⅰ-2包括18个县,第Ⅱ类仅包括思茅区,第Ⅲ类仅包括河口县;楚雄州的牟定县与姚安县的遗传一致度最大,为0.943,大姚县与姚安县的遗传一致度也较高,为0.925,思茅区与宁蒗县的遗传一致度最小,为0.033,各县（区）的遗传一致度与地理位置有一定的相关性。本研究结果表明云南当前种植的地方稻种具有丰富的遗传多样性,但分布很不均匀,遗传多样性主要集中在西双版纳,德宏,普洱,临沧和红河5个州市。     

黄淮麦区小麦品种(系)的ISSR位点遗传多样性分析

选用11个ISSR引物,对黄淮麦区96个小麦推广品种（系）进行遗传多样性分析。共检测到96个多态性位点,每个引物多态性位点数平均为8．7个,变幅为3～23个;ISSR引物的多态性信息含量PIC变幅为0．601～0．941,平均0．791,表明ISSR具有较强的品种间区分能力,是研究小麦种质资源遗传多样性的有效分子标记技术之一。96个品种（系）间,Nei’s遗传相似系数变化范围为0．53～0．91,平均为0．60,品种间遗传相似性变幅较大,表明黄淮麦区不同小麦品种（系）间存在着不同程度的遗传多样性差异。根据品种间遗传相似系数聚类,96份材料被聚成8大类群,共14个亚类,类群与系谱和原产地无关。     

Analysis of genetic diversity and population structure of rice cultivars from Korea, China and Japan using SSR markers

A total of 29 simple sequence repeat (SSR) markers were used to analyze the genetic diversity of 150 accessions of cultivated rice (Oryza sativa L.) from Korea, China, and Japan. A total of 375 alleles were detected with an average of 12.9 per locus. The averaged values of gene diversity and polymorphism information content (PIC) for each SSR locus were 0.7001 and 0.6683, respectively. Alleles per locus in Korean rice were 8.8, whereas 8.1 and 7.2 alleles per locus were found in Chinese and Japanese rice, respectively. The mean gene diversity in Korean, Chinese, and Japanese rice was 0.6058, 0.6457, and 0.5174, respectively, whereas the mean PIC values for each SSR locus were 0.5759, 0.6138, and 0.4881, respectively. The genetic diversity of the Korean and Chinese cultivars was higher than that of the Japanese cultivars, and the genetic diversity ofjaponica was higher than that ofindica. The model-based structure analysis revealed the presence of three subpopulations, which was basically consistent with clustering based on genetic distance. An AMOVA analysis showed that the between-population component of genetic variance was less than 22% in contrast to 78% for the within-population component. The overallFST value was 0.2180, indicating a moderate differentiation among groups. The results could be used for designing effective breeding programs aimed at broadening the genetic bases of commercially grown varieties.     

Microsatellite marker-mediated analysis of the EMBRAPA Rice Core Collection genetic diversity

The objectives of this study were to determine the genetic structure of 242 accessions from the EMBRAPA Rice Core Collection (ERiCC), to create a mini-core collection and to develop a multiplex panel of fluorescent labeled simple sequence repeats (SSRs). Eighty-six SSRs were used to identify 1,066 alleles, with an average number of 12.4 alleles/locus and average polymorphism information content (PIC)/locus of 0.75. A model-based clustering method recognized the structure of the accessions on two levels, according to their cultivation system and origin. The most divergent subgroup identified was the worldwide lowland accessions, with the highest values for gene diversity (0.75), average Rogers distance modified by Wright (0.80), average number of alleles/locus (11.7) and private alleles (132). A mini-core was assembled with the most divergent 24 lowland and upland accessions. This mini-core displayed an average distance of 0.86, an average number of alleles/locus of 8.4 and an average PIC/locus of 0.8. From the 86 SSRs, 24 were selected to compose six multiplex panels in order to optimize the process of rice genotyping. This set of markers distinguished all 242 accessions, and showed an average PIC of 0.80 and an average number of alleles/locus of 15.4, higher than the entire set of 86 SSRs. Since the heterogeneity found in lines and cultivars of ERiCC was higher than expected, it is necessary to analyze pooled DNA samples to get a better estimate of genetic variability. The SSR characterization of ERiCC clearly indicates that there is high genetic variability in rice accessions stored in genebanks worldwide which can be promptly explored by rice pre-breeding programs.